<p id="isPasted">Surface finishing and other post-production processes are integral in manufacturing as they transform raw components into industrial-grade products with superior properties, performance, and aesthetics. For procurement teams, however, surface finishing requirements tend to add complexity to part sourcing and are often the source of production bottlenecks. </p><p>This complexity is particularly notable when manufacturing partners don’t have the necessary finishing processes available and procurement teams have to coordinate with multiple production partners for a single product. For example, with a CNC machined aerospace component that needs a specialty finishing process like electroplating, procurement teams will often find themselves coordinating between several different suppliers. This inevitably leads to more complex logistical planning, longer lead times, greater risk, and even higher costs.</p><p>As we’ll see, the emergence of digital manufacturing platforms is helping not only to overcome production bottlenecks driven by surface finishing complexity, but to simplify the procurement process overall. German online manufacturer FACTUREE, for instance, functions as a one-stop shop for procurement teams, where custom part requests are placed and high-quality, fully finished and fully inspected parts are delivered. This approach to procurement is particularly impactful in Aerospace &amp; Defense (A&amp;D), a sector in which the complexity of manufacturing and surface finishing are magnified by stringent compliance requirements. </p><h2>Surface Treatment Solutions as a Bottleneck </h2><p>In the production cycle, it is not uncommon for bottlenecks to occur in more downstream processes. This is because post-production steps like heat treatment, surface finishing, and coating tend to be slower, more variable, and less scalable than upstream manufacturing processes. </p><p>Bottlenecks can be attributed to several factors, including the complexity of certain surface finishing steps and the manual requirements of finishing processes. For example, while many surface finishing processes are described in one word (i.e. anodizing, galvanizing), they involve multiple steps, like cleaning, surface preparation, setup, dyeing, sealing, etc. Surface treatment environments must also be maintained and monitored to ensure optimal results. </p><p>Another downstream production bottleneck is related to the fact that the supplier landscape for surface treatments is highly varied and fragmented. Put another way: no one manufacturer can specialize in all coatings and surface treatments and finishing options. This leads to a dynamic in which procurement teams must build complex supply chains for parts that involve various vendors and complex logistical coordination. </p><p>In highly regulated industries like aerospace and defense (A&amp;D), this complexity is only exacerbated by the need for specialty processes and compliance with strict standards and certifications. For example, it’s not uncommon for an aerospace bracket to be manufactured at one facility and then sent on to a separate electroplating plant for finishing. If ever a flaw is found or the part does not meet industry standards, the part has to be reworked or remade, resulting not only in higher costs but longer lead times driven by production and logistics demands.</p><h2>Manufacturing Under a Single (Digital) Roof</h2><p>Fortunately, digital manufacturing platforms like FACTUREE are overcoming this bottleneck and facilitating a one-stop-shop approach that reduces the complexity of surface finishing for procurement teams. </p><p>The company operates as a sole contractual partner for procurement professionals, centralizing resources from a broad and qualified network of manufacturers, including surface finishing specialists. From the customer’s perspective, this means that once a custom part request has been placed via FACTUREE’s secure online portal, all manufacturing partner selection, production, finishing, quality assurance, and logistics are handled by the company. Procurement means can therefore rest easy knowing their custom parts are being taken care of.</p><p>With FACTUREE, efficiency occurs at every step. Upstream, the digital manufacturing platform matches requests with the best manufacturer in its network based on factors like material, tolerances, finishing requirements, availability, and cost. This matching process in itself unburdens procurement teams from the time-consuming process of identifying qualified production partners. </p><p>In many cases, FACTUREE manufacturers will be equipped to both produce and finish parts on site. However, in cases where a specific finishing process is offered by a different supplier, FACTUREE oversees the delivery of the raw part to be finished and ultimately inspected. Meanwhile, the entire process is carefully monitored and documented for traceability and quality. In short, customers simply tell FACTUREE what they need, and the company takes care of everything.  </p><p>This one-stop-shop production model gives FACTUREE customers access to a <a href="https://www.facturee.de/en/services/surface-finishes/" target="_blank" rel="noopener noreferrer">wide spectrum of 50+ different surface treatments</a>, including:<span class="fr-img-caption fr-fic fr-dib"><span class="fr-img-wrap"><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1778693889189-Electroplating+%26+Coatings.png" class="fr-fic fr-dib" /><span class="fr-inner">Table 1: Surface Finishing Processes</span></span></span></p><p>Overall, FACTUREE’s holistic approach, which selects the optimal candidate for both production and finishing, while also overseeing quality, reduces the risk of failed parts and breaks down inefficiencies at every step.</p><h2>Meeting the Requirements of Aerospace and Defense</h2><p>The value of FACTUREE’s digital production offering can be best understood by looking to customers from highly regulated industries like aerospace and defense. These sectors have some of the most complex and demanding surface treatment requirements since final parts must have a combination of excellent corrosion and temperature resistance, fatigue and wear resistance, chemical stability, and general environmental resistance. </p><p>In other words, simply achieving tight tolerances for components in upstream processes is not enough: parts for aerospace and defense applications must undergo heat treatments and aerospace surface treatments to reach optimal properties and performance. </p><p>Common finishing processes in A&amp;D manufacturing include treatments for improving corrosion resistance (hard anodizing, chromating, PVD coatings, zinc phosphating); thermal protection processes (thermal spraying, ceramic coatings, plasma-sprayed aluminum oxide); and various hardening and cleaning treatments (nitriding, shot peening, passivation, ultrasonic cleaning, and more). </p><p>The skills and equipment required for many of these processes, combined with the strict regulatory framework in place for A&amp;D parts, means that the pool for qualified manufacturers and finishing providers is limited. For customers ordering these parts, lack of availability can translate to long lead times and complex procurement chains.  </p><p>With digital manufacturing networks like FACTUREE, however, A&amp;D procurement teams can circumvent these hurdles and ensure their parts are made and finished <a href="https://www.facturee.de/en/aviation-aerospace-defense/">by qualified, certified (such as ISO 9001 and AS 9100) manufacturers</a>. Parts including aircraft frames, engine mounts, heat shields, gearbox housings, and more. </p><p>For instance, FACTUREE maintains a selection of qualified electroplating specialists in its network. This highly specialized finishing process is common for aerospace parts as it enhances hardness, wear resistance, and fatigue strength. In conventional procurement workflows, teams might struggle to coordinate raw part production and electroplating requirements since many manufacturers do not offer this finishing process. </p><p>With its digital manufacturing platform, however, FACTUREE facilitates the production and electroplating of A&amp;D components without adding complexity by way of coordination, quality assurance, and logistics. Importantly, it does this without significantly extending overall project lead times. Furthermore, FACTUREE, as the sole contractual partner, offers the security, diligence, and compliance required by aerospace and defense customers. </p><h2>Conclusion</h2><p>Ultimately, what FACTUREE’s one-stop-shop business model offers to the A&amp;D market highlights a broader dynamic that is at play: that any industry with high-quality requirements benefits from more agile and resilient surface treatment procurement. </p><p>By turning to digital manufacturing platforms rather than pursuing conventional part sourcing processes, procurement professionals are alleviating challenges related to complex logistics and surface finishing bottlenecks. They are unlocking a more reliable, streamlined process—fully managed by FACTUREE—that gives them the time and resources to focus on other core tasks. </p><p>In the end, working with a digital manufacturing partner like FACTUREE takes the legwork out of sourcing surface finished parts, resulting in a less complex end-to-end process, faster procurement and lead times, and a bottleneck broken.</p>

Digital manufacturing services take the complexity out of downstream procurement requirements.

Surface Finishing: Digital Manufacturing Breaks the Bottleneck in Aerospace & Defense

<p id="isPasted">While manufacturing processes and procurement workflows are continually evolving, one thing has remained a constant when it comes to producing parts: material quality matters. Even sophisticated, high-tolerance components can result in failures if material properties are not up to standard—a reality that can have serious consequences in terms of performance and safety. For that reason, the quality of materials is a  priority not only for those ordering parts, but also the digital manufacturing platforms responsible for making them.</p><p>Today, digital manufacturing platforms like FACTUREE are facilitating part procurement by offering a one-stop digital interface for ordering custom parts from a network of qualified manufacturers. This approach to procurement has several benefits, including more efficient part ordering, competitive quotes, and faster lead times. At the same time, it comes with new challenges, like ensuring that each manufacturer in the network is up to standard, not only when it comes to production and inspection processes, but also raw material quality. </p><p>Digital manufacturing leader FACTUREE, which has a network of over 2,000 qualified manufacturers, understands the importance of delivering parts made from high-quality materials. It has therefore created a robust digital framework for ensuring material quality across its vast production network, resulting in high-quality, validated, traceable parts. </p><h2>The Criticality of Material Quality</h2><p>The risks of manufacturing parts from substandard materials really can’t be overstated. Whether you are ordering CNC machined, additively manufactured, injection molded, or sheet metal components, the success of a part comes down in large part to the quality of the raw material. For example, defects in metal alloys can translate to unpredictable stresses, corrosion, thermal expansion, or distortion that can compromise part integrity, performance, and longevity. </p><p>A thorough inspection workflow in place should catch these defective components before they go into service. However, solving the problem so far downstream does nothing to address the consequent reality of wasted resources and extended lead times. Moreover, low-quality raw materials can impact production processes themselves, leading to issues like faster tool wear in CNC machining, and sintering inconsistency in additive manufacturing. </p><p>For all these reasons, sourcing and maintaining high-quality materials from the get-go, before production begins, is the more effective approach.</p><h2>A Digital Control Framework for Material Quality</h2><p>In order to support material quality assurance, digital manufacturing platforms for procuring custom parts are implementing digital quality control frameworks. These systems help to ensure material quality in a way that fits the speed and scale of digital production. At FACTUREE, for example, this is based on digital tools, specifically intelligent, data-driven control mechanisms that monitor material quality across the entire procurement chain.</p><p>A central component in this digital control framework is the qualified supplier network. Working with over 2,000 manufacturers specializing in a range of different production processes and materials, FACTUREE maintains a qualification process for each member in its network. For one, each manufacturer must meet the ISO 9001 standard for Quality Management Systems. FACTUREE also regularly audits its manufacturing partners to ensure that raw materials are being stored, processed, and documented properly.   </p><p>Traceability is another key part of a solid material quality assurance strategy. By working with its production partners, the digital manufacturing platform can ensure that every batch of raw material is tracked through the proper documentation and certification (in line with EN 10204) to prove material origin and material properties. </p><p>Documentation for every material batch also means that any issues related to material quality can be rapidly identified, traced, and managed upstream. For FACTUREE customers, material documentation is available on request to prove that materials used to make parts comply with relevant industry standards.</p><p>Underlying these control systems at FACTUREE is a proprietary AI, a data-driven system trained on over 600,000 internal data points per supplier. When a procurement specialist submits a request for a custom part, it is FACTUREE’s AI that matches the request to the best suited manufacturer based on factors like material availability and experience. For example, if a manufacturer has substantial experience and is well rated for making corrosion-resistant Inconel parts, the AI will prioritize them for future Inconel parts. </p><p>Similarly, if a customer is seeking a custom part for an industrial food production line, FACTUREE’s AI will ensure food-safe material requirements are met (EU Regulation 1935/2004) through its manufacturer selection process. Ultimately, this ensures that customers benefit from a manufacturer’s knowledge of and experience with specific materials and user-industry requirements. </p><p>The AI is always being trained on new incoming data, continually strengthening the digital manufacturer’s framework for material quality monitoring. It is also supported by an experienced team who work diligently to monitor the AI output and material quality data. This holistic approach to material quality maintenance, which combines human expertise, AI tools, thorough documentation, and traceability, is a critical piece in the broader quality assurance puzzle. </p><h2>FACTUREE’s Three-Stage Quality System</h2><p>Material quality assurance sits within a broader three-stage quality system at FACTUREE, applicable across a range of regulated industries.</p><p>This three-stage quality system consists of the following elements:</p><ul><li><p>AI-supported supplier selection</p></li><li><p>Continuous production monitoring</p></li><li><p>Double final inspection</p></li></ul><p>The supplier selection process, described above, evaluates manufacturers on experience, performance, and specialization—including material-specific expertise, production tolerances, and industry familiarity.</p><p>The second stage in the quality system is continuous production monitoring. This is carried out by FACTUREE engineers and quality management experts, who provide guidance and oversight at every step, from design feasibility analysis, to in-process inspections of production machines, to facility and material audits. Continuous monitoring is further reinforced by an Industry 4.0 digital chain that tracks production from 3D model to end product, flagging any process inconsistencies and in many cases fixing them in real time.</p><p>Capping off the three-stage quality system is a double final inspection. As part of its quality commitment to customers, FACTUREE ensures that every finished part undergoes a double inspection. The first is completed by the manufacturer and the second is undertaken by FACTUREE. </p><p>As the company explains, this double check guarantees that final parts meet all requirements, from tolerances to material properties. Further inspections by external parties can also be arranged for even more rigorous QA.  </p><p>On a broader level, FACTUREE also offers a suite of other capabilities that contribute to a strong quality assurance foundation and a seamless procurement workflow. Among these capabilities are its proprietary AI agent FACTUREE Navigator free test certificates, secured design data (ISO 27001 certified), and <a href="https://www.wevolver.com/article/reinforcing-the-supply-chain-with-smart-material-substitution">smart material substitution</a>. </p><h2>Conclusion</h2><p>Maintaining material quality across a large production network requires a combination of structured processes, clear documentation, and consistent oversight. </p><p>As for FACTUREE, it is central to the company’s mission of delivering high-quality custom parts in a scalable, consistent, and cost-competitive manner. Key to this is the company’s advanced digital infrastructure, which monitors and connects all stages of production, providing transparency, traceability, and documentation from end to end. </p><p>In combination with FACTUREE’s human expertise, this framework ensures that risks associated with low-quality materials are kept to a minimum and that if they do occur, the problem is solved before production begins.</p><p>Learn more about the <a href="https://www.facturee.de/en/services/materials/">various manufacturing materials FACTUREE offers</a>, from engineering plastics to specialized metal alloys or <a href="https://www.facturee.de/en/inquiry/">make a part request directly</a>.  </p>

How digital manufacturing platforms are increasingly turning to stringent QA frameworks to ensure customers receive parts made from high-quality materials

How to Maintain Material Quality in Digital Manufacturing

<p id="isPasted">The Dead Internet Theory may have started out as an exaggeration bordering on conspiracy, claiming that most of the internet is run by bots. However, given the mammoth advances in artificial intelligence (AI) over the past few years, what was once speculation is starting to look like a plausible future. On top of that, the algorithms already in place prior to the boom in generative AI often favored homogenous styles of media, further contributing to the empty, flat feeling of the internet.</p><p>The dangers of a dead internet are that reality becomes warped as fake material becomes indistinguishable from real, trust is lost, and people no longer turn to the internet as a useful place of knowledge or connection. There’s a secondary impact, too, in that models trained on this less genuine, bot-generated content produce more of the same and become a hindrance rather than a help to people. Still, companies can combat this situation by implementing measures that impact the way they present their brand to the world, as well as how they interact with customers and build meaningful communities around their products and published information.</p><h2>Theory Origins</h2><p>Initially popular in 2021, the Dead Internet Theory proposed that the majority of traffic and interactions on the internet was attributable to bots. When the theory came out, it was difficult to believe that it might be the case because automation capabilities were not as powerful, and it was more straightforward to verify whether information came from a genuine entity. However, nowadays, looking at social media like LinkedIn, posts often appear to have the same kind of format with the same pattern of content. Replies on forums and comments under posts are starting to feel all the same—bland, generic congratulations, agreements, or appreciation. Even profile photos come across as overly polished to the point of being fabricated or highly edited. Why is that the case?</p><h2>Why the Resurgence Now?</h2><p>Large Language Models (LLMs) and other generative AI are increasingly capable of producing extremely convincing text, images, and video. Add to that the sophisticated workflows producible by AI agents without supervision, and the reality of an internet driven by bots for bots seems more within reach. With each new release of a video or image generation model, the outputs produced become more realistic and then flood the various platforms people frequent, making the prevalence of bots or humans posting like bots feel more acute.</p><p>Generative AI, however, is not solely to blame for the “dead” feeling of the modern internet. Social media, search engines, and most large content curating sites often participate in the gamification of attention. Interactions are then optimized for metrics rather than true engagement, and that comes off as shallow—being just unique and interesting enough to spark the transfer of attention but not providing much else beyond that. Couple this with the style of generative AI’s outputs, and the outcome is generic engagement slop.</p><p>This landscape of algorithmic curation also encourages and rewards behavior from humans that mimics AI-generated content, further contributing to the feeling that the internet is “dead.” Cultivating a meaningful following or a fruitful community can be costly in terms of time and effort and yields mixed results where some content is well-received while the rest falls flat. Without some kind of automation, it might feel like a waste to try and build a community, producing engaging content only to find it doesn’t work because of a black box algorithm at the helm that changes frequently with limited feedback on how to improve. The instinct then is to outsource that portion, so at least if it fails, it fails at a low cost. The result is people using AI to hedge their bets alongside bots in the form of agentic AI using generative models. So, what does this mean for the internet going forward?</p><h2>Implications for Knowledge, Trust, and Community</h2><p>Whenever a customer reads a blog post from a company only to find out that it was completely AI-generated without human oversight and contains incorrect information or has a nonsensical image in the headline, their trust is eroded. Any time spam comments are left to sit on posts or forums, the impression is that the site is not free from unverified users, including bots. If people using the internet cannot be certain that what they are reading, consuming, or learning is legitimate or that the person they are communicating with is not an automated process, it jeopardizes their ongoing use of the internet as a source of information or as a place to organize a community around particular topics. This leads to several key impacts, such as epistemic collapse, where misinformation is indistinguishable from truth, and relationship breakdown, where the substrates used to form online connections disappear. Both of these could mean the internet becomes unusable and people retreat offline. But it’s not all doom and gloom. There are ways to fight back.</p><h2>Reviving the Internet</h2><p>At the enterprise level, companies with an online presence have several options against the advance of the Dead Internet Theory. Firstly, they should avoid AI where it matters to customers, so there is no opportunity for loss of trust. If AI automation is required, transparency around its use is imperative, as is verifying information that is exposed to the public. Similar advice applies if a company produces white papers or blog articles to solidify its reputation as a subject matter expert. The “dead internet” feeling can be avoided by investing in experts to deliver genuinely helpful information and by keeping up to date on what actual consumers in the niche require instead of trend chasing.</p><p>Additionally, building closed communities and forums where some verification is required can help keep the bots at bay and foster genuine exchanges. Appropriately moderating content is also key. This goes hand in hand with educating employees and community members on the signs of AI-generated artifacts and focusing on critical reasoning skills to make informed decisions about content online.</p><h2>Conclusion</h2><p>What started out as a borderline conspiracy theory is now finding roots in reality as generative and agentic AI, along with curation algorithms, saturate many spaces on the internet. As people become increasingly unable to distinguish genuine content from fake, the internet risks becoming completely untrustworthy as a source of information and unreliable as a facilitator of building online communities and brand presence. Fortunately, companies can fight back by ensuring limited AI interactions with customers, upholding a commitment to verifying community members or content slated for release, and advancing education on the signs of AI-generated content to limit its impact. By doing this, the future of the internet can be reclaimed as a place for connection and learning rather than empty bot traffic.</p>

Explore the Dead Internet Theory in the age of AI and learn how businesses can preserve trust, authenticity, and meaningful online communities despite the rise of automated content and bots.

Combatting the Dead Internet Theory in an AI World

<p id="isPasted">Advancing automation in train operations is one way to transport more people and goods on the existing rail network. A key technology for this is the virtual coupling of train cars and formations. In this system, individual cars are no longer mechanically connected by a coupling, but only digitally – that is, they travel at a fixed, close distance behind one another. For this to work, the sections of the train must constantly communicate with each other and exchange highly precise data about their respective positions and speeds. In the R2DATO project, the German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt; DLR) has developed a novel radio system for this purpose and successfully tested it on a closed railway site.</p><p>As part of the project, the DLR Institute of Communications and Navigation primarily investigated decentralised, direct communication between trains when they are relatively close to one another. "We're talking about distances of 20 to 200 metres, which is needed for virtual coupling," says project manager Paul Unterhuber. "For the railway sector, that is extremely close because, depending on the speed, braking distances can range from several hundred metres to a kilometre."</p><h2>Ultra-wideband technology for fast and precise communication, positioning and distance measurement over short distances</h2><p>The system developed and tested by DLR for this purpose uses ultra-wideband (UWB) communication. This radio technology transmits data across an extremely wide frequency spectrum and enables precise positioning and data transfer over short distances. UWB is currently used in smartphones, small tracking devices for indoor or industrial use and car keys for locking and unlocking vehicles. "A further advantage of UWB is that it enables us to calculate the distance between two trains very precisely," explains Unterhuber. "To do this, we use what is known as latency. This is the time it takes for data packets to travel from the transmitter to the receiver – giving us all the information we need to control acceleration and braking processes in the close range that is crucial for virtual coupling."</p><p>The system developed for the R2DATO project also features a laser-based measurement system. This serves as a reference system, gauging the distance between trains to evaluate the accuracy of the UWB measurements. Batteries supply power to all system components.</p><h2>Track debut – close spacing demands special attention</h2><p>The first tests took place at the end of April 2025 on a technical track area belonging to the Dutch national railway operator Nederlandse Spoorwegen (NS) in Amersfoort, the Netherlands. Two regional trains equipped with DLR's radio system ran up and down a 350-metre stretch several hundred times. The DLR system was housed in two compact boxes mounted on the mechanical couplings on the front of the trains. A third box on the ground served as a base station and collected additional data.</p><p>The two trains simulated multiple different scenarios at speeds ranging from 10 to 25 kilometres per hour – for instance, running one behind another at distances of 15 to 80 metres, or with only one train moving while the other remained stationary. The trains were controlled by train drivers – a demanding task due to the short distances involved. For comparison, the DLR team also provided the train drivers with live information from the DLR system on a separate monitor. "The drivers welcomed this additional information, because it made control much simpler,” Unterhuber continues. "In the future, data from such systems will not only support train drivers but also contribute to largely automated or even autonomous train operations."</p><p><span class="fr-video fr-deletable fr-fvc fr-dvb fr-draggable"><iframe width="640" height="360" src="https://www.youtube.com/embed/T424LpuiC9U?&amp;wmode=opaque&amp;rel=0&amp;enablejsapi=1&amp;origin=https://www.wevolver.com" frameborder="0"></iframe></span><em>DLR researchers have developed a novel radio system specifically for train operations in the R2DATO project and tested it in practice for the first time. In future, it is intended to support automated train operation and virtual coupling, amongst other applications. This video (English version only) provides insight into these tests on a technical track belonging to the Dutch national railway operator in Amersfoort. Interviews with project participants provide insights into the content and challenges. Credit: © DLR. All rights reserved</em></p><h2 id="isPasted">Feasibility demonstrated in a railway setting</h2><p>The initial test results gave the team cause for optimism, demonstrating that the distance between the two trains could be determined to within a few centimetres – something not possible with the technologies previously used in the railway sector. "Generally speaking, our tests showed that communication between trains and the resulting distance calculations work in real-life railway settings, at distances from a few metres up to 350 metres," says Unterhuber. "We have demonstrated proof of concept – the feasibility of our concept in practice. Now we are continuing to evaluate the data collected so that we can make further statements about the precision and reliability of the DLR system."</p><p>The Next-Generation Train TAXI (NGT-TAXI) concept, developed as part of DLR's rail transport research, also relies on virtually coupled train sections. NGT-TAXI is designed to enable automated train operation on branch lines, making these routes more attractive again. It will operate on demand, virtually coupling multiple train carriages depending on the number of passengers.</p><hr /><h2>Related links</h2><ul><li><a href="https://www.dlr.de/en/kn">DLR Institute of Communications and Navigation</a></li><li><a href="https://projects.rail-research.europa.eu/eurail-fp2/" target="_blank" rel="noopener noreferrer">Dutch State Railways – R2DATO project</a></li><li><a href="https://www.dlr.de/en/research-and-transfer/featured-topics/the-future-of-rail-transport">Featured topic – The future of rail transport</a></li><li><a href="https://www.dlr.de/en/media/publications/magazines/all-digital-magazines/dlrmagazine-175/new-impetus-for-rail">DLRmagazine 175 – NGT-TAXI: new impetus for rail</a></li><li><a href="https://rail-research.europa.eu/" target="_blank" rel="noopener noreferrer">Europe's Rail</a></li></ul>

The R2DATO system passed its first real-world test on a technical track area belonging to the Dutch national railway operator Nederlandse Spoorwegen (NS) in Amersfoort. Over a 350-metre stretch, two regional trains equipped with DLR's system travelled one behind the other at intervals of 15 to 80 metres – extremely close distances by railway standards. Credit: DLR (CC BY-NC-ND 3.0)

This technology enables the virtual coupling of train units and train formations as part of further automation of rail transport.

Testing virtual coupling system in the real world

<p id="isPasted">A leading company based in Turkey specializes in manufacturing advanced composite parts and assemblies for sectors such as aerospace, automotive, and industrial manufacturing. With a strong focus on R&amp;D, innovation, and customer satisfaction, it actively pursues new technologies to enhance production quality and operational efficiency.</p><p>When tasked with inspecting a large composite flange measuring 2.5 meters in diameter, the company required a more capable, flexible, and precise measurement solution. Limitations in the reach and accuracy of existing tools led them to explore non-contact 3D scanning technologies. The integration of the <a href="https://www.3d-scantech.com/product/trackscan-sharp-series-optical-3d-scanning-system/" target="_blank"><u>TrackScan Sharp-S </u><u>optical 3D scanning system</u></a> and i-Probe 500 proved transformative—enabling fast, in-house, high-precision inspections while significantly improving efficiency and autonomy.</p><p><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1754530720375-1.png" style="width:100%px" class="fr-fic fr-dib" /></p><h2 id="isPasted"><strong>The Challenge: Accurate Measurement of Large Composite Parts</strong></h2><p>The company faced a pressing challenge common in composite material production: accurately measuring large and geometrically complex parts while keeping up with production demands. The part in question—a composite flange with a 2.5-meter diameter—was built from high-rigidity, reflective composite material. It required precise verification of hole positions and internal profiles, but the traditional probing tools of the company had a reach limit of just 1.2 meters, making full inspection impossible.</p><p>Additionally, the flange was too heavy to move without disrupting production, and its reflective surface made it difficult to scan using conventional optical systems. Accuracy over long distances, scanning efficiency, and ease of deployment were all critical requirements.</p><p><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1754530735469-2.png" style="width:100%px" class="fr-fic fr-dib" /></p><h2 id="isPasted"><strong>Technical Requirements and Performance</strong></h2><p>The company's inspection needed to meet several stringent requirements:</p><ul><li> Sub-millimeter accuracy across a 2.5-meter part</li><li> Effective measurement over distances of 2–3 meters or more</li><li> Fast scanning time to avoid production delays</li><li> Ability to handle reflective composite surfaces without powder spraying</li></ul><p><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1754530754268-3.png" style="width:100%px" class="fr-fic fr-dib" /></p><h2 id="isPasted"><strong>The Solution: TrackScan Sharp-S &amp; i-Probe 500</strong></h2><p>To solve these challenges, the company deployed our TrackScan Sharp-S, a portable 3D scanning system with advanced optical tracking, along with the i-Probe 500, a precision probing tool designed for accurate data capture of internal geometries.</p><p>The scanning and probing operation was conducted on-site, directly in the production area, minimizing workflow interruptions. The full measurement process—including equipment setup, scanning, probing, and data validation—was completed in under an hour, a massive improvement compared to traditional methods.</p><p>TrackScan Sharp-S delivered on all fronts. Its high-speed, high-resolution 3D data acquisition ensured that even subtle deviations in hole positioning or flange curvature could be detected with confidence.</p><p>The i-Probe 500 added an extra layer of capability by reaching internal dimensions that were previously inaccessible due to the physical limitations of older equipment.</p><p><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1754530770588-4.png" style="width:100%px" class="fr-fic fr-dib" /></p><h2 id="isPasted"><strong>Key advantages of this solution included:</strong></h2><ul><li> Marker-free scanning from distances up to 8.5 meters</li><li> High-accuracy measurement without requiring surface treatment</li><li> Fast, real-time data processing</li><li> Seamless probing of hard-to-reach internal features </li><li> Handled the smooth, reflective composite material without requiring surface coating</li></ul><p><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1754530788734-5.png" style="width:100%px" class="fr-fic fr-dib" /></p><h2 id="isPasted"><strong>Competitive Advantage of Our 3D Solution</strong></h2><p>In comparison with traditional tools like calipers, measuring tapes, or CMM arms, our integrated solution provided the company with unmatched:</p><ul><li> <strong>Flexibility</strong>: No need for part relocation or setup changes.</li><li> <strong>Speed</strong>: Entire process completed within an hour.</li><li> <strong>Accuracy</strong>: Sub-millimeter precision of up to 0.025 mm, even from long distances.</li><li> <strong>Simplicity</strong>: Marker-free, surface-friendly scanning reduces labor.</li></ul><p><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1754530806276-6.png" style="width:100%px" class="fr-fic fr-dib" /></p><h2 id="isPasted"><strong>Results and Impact</strong></h2><p>After adopting SCANOLOGY's 3D scanning solution, the company realized significant operational and quality improvements:</p><ul><li> Reduction in inspection time</li><li> Complete in-house inspection workflow</li><li> Reduced dependency on third-party services</li><li> Improved measurement accuracy and data reliability</li><li> Better control over quality assurance</li><li> Minimized production downtime</li></ul><p>More importantly, this technology enabled real-time decision-making during production, empowering the company to take immediate corrective actions and ensure that every component met strict dimensional tolerances.</p><h2><strong>Conclusion</strong></h2><p>The integration of our high-precision 3D scanning technology has empowered the company to take full control of their quality inspection process. By bringing large-part inspection in-house, the company gained efficiency, reduced operational costs, and improved production quality—all critical to staying competitive in high-performance industries.</p><p>For manufacturers working with large composite structures or needing fast, accurate, non-contact metrology solutions, we offer a field-proven path forward.</p>

Learn how a Turkish manufacturer transformed its inspection workflow using our 3D scanning solutions—achieving sub-millimeter accuracy, real-time results, and full control over large composite part inspections.

Transform Large-Scale Inspection with 3D Laser Scanning

<p dir="ltr" id="isPasted">The manufacturing sector is undergoing a rapid digital transformation. According to the International Data Corporation (IDC), global spending on digital transformation is projected to rise to nearly $4 trillion by 2027. Several key factors are advancing this change. For starters, customers expect tight tolerances and faster turnaround times, which are challenging to achieve with traditional workflows. External pressures also play a role. Global supply chain disruptions, driven by trade wars and geopolitical tensions, have made businesses across the globe rethink their strategies to crisis-proof their operations. Additionally, there is increasing pressure to meet sustainability targets to lower environmental impact.<br><br>For most manufacturers, digital transformation is no longer optional –it is becoming essential for long-term survival and competitiveness. Embracing smart manufacturing technologies enables businesses to streamline operations, improve part quality, and respond more quickly to market demands. However, as a McKinsey study highlights, 70 percent of transformations fail.&nbsp;This is why the expertise of industry leaders such as Hexagon are pivotal in digital transformation. This article provides a wireframe for an effective digital transformation of manufacturing facilities.</p><h2 dir="ltr">Hexagon’s Blueprint for Shop Floor Excellence</h2><p dir="ltr">The traditional siloed model, where design, production, and quality control operate in isolation is quickly becoming outdated. Disjointed workflows lead to delays, errors, and inefficiencies. Hexagon's smart manufacturing solutions offer a blueprint to transition from fragmented workflows, to digitally connected ecosystems. With an approach based on automation, integration, and insight, Hexagon can help streamline operations, reduce variability, and deliver real-time intelligence to support better decision-making.</p><h3 dir="ltr">Automation</h3><p dir="ltr">Repetitive manual tasks not only waste time but also hold up skilled labor. Automating routine processes such as part inspection not only speeds up processes, but also reduces the risk of human error.</p><p dir="ltr">One way to achieve this is by integrating coordinate measuring machines (CMMs), robotic arms, and inline inspection systems into a fully automated workflow. For example, Skoda leveraged Hexagon's laser scanning and automation platform to cut inspection time for parts and sub-assemblies by nearly 50%. This not only accelerated throughput, but also ensured greater measurement repeatability and consistency across the production line. By automating inspection and feedback loops, manufacturers can achieve a closed-loop quality control system.</p><h3 dir="ltr">Integration</h3><p dir="ltr">In traditional manufacturing, systems operate independently and create data silos that limit visibility. This leads to disconnected and disparate systems that require manual intervention, which costs shop floor operators valuable time and money.</p><p dir="ltr">To overcome this, a digital thread that ensures data flows effortlessly across all stages of the manufacturing process is crucial. Digital platforms such as the <a href="https://hexagon.com/products/product-groups/nexus">Nexus cloud platform</a> enable collaboration by connecting employees, technologies, and data across design, production, and inspection. It breaks down information silos and facilitates real-time collaboration and feedback between different teams and departments.</p><p dir="ltr">This level of connectivity helps reduce delays and miscommunication while enhancing traceability. It is especially critical for industries with strict regulatory requirements or where high precision is non-negotiable.</p><h3 dir="ltr">Insight</h3><p dir="ltr">Collecting data is just the first step. To stay competitive, manufacturers need to make sense of that data and turn it into action. With real-time analytics and AI-powered tools, Hexagon provides manufacturers the insight they need to make data-driven decisions. According to the company’s Advanced Manufacturing Report survey, 76% respondents believe that investing in enhanced data sharing and collaboration between teams will improve product quality.</p><p dir="ltr">Solutions such as SPC (Statistical Process Control) software allow companies to monitor quality metrics in real time, identify trends, and implement corrective actions before it is too late.&nbsp;Furthermore, the use of digital twins adds another layer of intelligence. These virtual models simulate production scenarios, predict outcomes, and help optimise performance without interrupting actual operations. With these tools, decision-makers gain the visibility needed for proactive management.</p><h2 dir="ltr">Seven-step roadmap to drive digital transformation</h2><p dir="ltr">Digital transformation touches upon every stage of the manufacturing lifecycle. The goal is to eliminate inefficiencies, improve collaboration, and deliver quality from initial quoting to final reporting. This framework provides practical steps to drive measurable improvements in efficiency, quality, and profitability.</p><h3 dir="ltr">1. Quoting and planning</h3><p dir="ltr">In manufacturing, detailed and accurate quotes are essential. By integrating automation and AI-powered tools, manufacturers can generate precise quotes in a fraction of the time compared to manual methods. Use of historical data and advanced algorithms can ensure consistency in quoting practices.</p><h3 dir="ltr">2. Designs and reviews</h3><p dir="ltr">Digital transformation allows manufacturers to cater to diverse design needs and accommodate new requirements. Real-time design reviews between engineering and customers streamline feedback loops, which minimise rework by ensuring accuracy. This flexibility is key to delivering customised solutions at speed.</p><h3 dir="ltr">3. Manufacturing preparation</h3><p dir="ltr">Manufacturing preparation sets the tone for production success by ensuring smooth handovers from design to shop floor. This includes collision-free code creation, fixture preparation, and integrating additive manufacturing and digital simulation for increased efficiency. As a result, it reduces manual errors, improves accuracy, and accelerates readiness.</p><h3 dir="ltr">4. Manufacturing</h3><p dir="ltr">By connecting advanced machine tools with IoT sensors and real-time monitoring systems, manufacturers gain real time visibility into their shop floor operations. When combined with automation, machine learning, and AI, these insights help optimise workflows, reduce downtime, and ensure consistent quality across batches.</p><h3 dir="ltr">5. Shop-floor measurement</h3><p dir="ltr">Precision plays a crucial role in manufacturing. &nbsp;To maintain it, advanced measurement technologies should be embedded into the production floor. By capturing real-time data, these tools help identify issues early, deliver actionable insights, and support continuous process improvements. This ensures that every part meets design intent and quality standards.</p><h3 dir="ltr">6. Inspection</h3><p dir="ltr">Inspection is critical for quality checks and retaining customer trust. Using technologies such as coordinate measuring machines (CMMs) and 3D laser scanners, manufacturers can validate part accuracy with exceptional precision. These detailed measurements not only confirm that components meet specifications but also provide insights for root-cause analysis.</p><h3 dir="ltr">7. Reporting</h3><p dir="ltr">Robust reporting systems are pivotal in creating a feedback loop for continuous improvement in the production facility. By systematically capturing measurement and quality data, engineers can trace issues back to their source. This data-driven visibility supports root-cause analysis, drives process optimisation, and enables iterative improvements across the production cycle.</p><h2 dir="ltr">Case Study: Hexagon’s Integrated Solutions in Action</h2><p dir="ltr">To demonstrate the impact of Hexagon’s solutions, let’s take a look at an anonymised customer success story that shows how the company improved production quality and efficiency across the production cycle.</p><h3 dir="ltr">Challenge</h3><p dir="ltr">An established machining business, Precision Machineworks, faced several operational inefficiencies and competitive pressures as drawn out below:</p><ul><li dir="ltr"><p dir="ltr">Manual workflows that limited scalability and introduced human error</p></li><li dir="ltr"><p dir="ltr">Frequent machine breakdowns that disrupted production timelines</p></li><li dir="ltr"><p dir="ltr">Poor visibility into manufacturing operations</p></li><li dir="ltr"><p dir="ltr">Difficulty adapting quickly to customer design modifications</p></li><li dir="ltr"><p dir="ltr">Skill gaps in handling new technologies</p></li><li dir="ltr"><p dir="ltr">Siloed departments that limited collaboration</p></li></ul><p dir="ltr">These challenges put Precision Machineworks at risk of falling behind in an increasingly digital and customer-driven market.</p><h3 dir="ltr">Solution</h3><p dir="ltr">To address these concerns, Precision Machineworks undertook a digital transformation journey through Hexagon’s smart manufacturing solutions. Their approach included:</p><ul><li dir="ltr"><p dir="ltr">Deployment of CNC machines integrated with IoT sensors that enabled real-time monitoring</p></li><li dir="ltr"><p dir="ltr">Establishment of a centralised data system accessible to both engineers and operators for informed decision-making</p></li><li dir="ltr"><p dir="ltr">Employee training programs designed to upskill the workforce in connected technologies, data analytics, and advanced troubleshooting</p></li><li dir="ltr"><p dir="ltr">Promotion of cross-functional collaboration to identify improvement areas</p></li></ul><h3 dir="ltr">Result</h3><p dir="ltr">The implementation of Hexagon’s solutions resulted in measurable improvements across the company's production cycle:</p><ul><li dir="ltr"><p dir="ltr">Significant reduction in machine downtime due to predictive maintenance capabilities</p></li><li dir="ltr"><p dir="ltr">Increased throughput and operational efficiency from streamlined workflows and smarter scheduling</p></li><li dir="ltr"><p dir="ltr">Enhanced resource management and faster decision-making driven by real-time data access</p></li><li dir="ltr"><p dir="ltr">Improved customer satisfaction through consistent product quality and quicker adaptation to last-minute design changes</p></li></ul><h2 dir="ltr">Conclusion</h2><p dir="ltr">Digital transformation starts with the right strategy and the right partner. As manufacturers face increasing pressure, embracing smart manufacturing is no longer optional, but essential. However, this shift requires more than just new tools. You need a trusted partner who understands the challenges of this transformation.</p><p dir="ltr">Hexagon provides the tools and expertise to modernise your production facility. Through automation, integrated systems, and data analytics, Hexagon’s solutions help manufacturers bridge silos and boost collaboration. As demonstrated in the case of Precision Machineworks, a well-executed digital transformation can reduce downtime, enhance decision-making, and drive long-term competitiveness.</p><p>Begin your manufacturing facility transformation with Hexagon. <a href="https://go.manufacturing.hexagon.com/unlock-your-shop-floors-potential-with-shop-floor-excellence-solutions/?utm_source=wevolver&utm_medium=paid-media&utm_campaign=emea-north-2025-shopfloor">Download the playbook to unlock your shop floor potential</a>.</p>

A roadmap to streamlining your manufacturing processes using integrated solutions to improve efficiency, quality, and increase profitability.

Built for speed: Supercharge your shop floor with digital transformation

<p>Beneath the golden sands of Saqqara, south of Cairo, lies a vast necropolis that once served as the sacred burial ground for the ancient capital of Memphis. This historic site has captivated archaeologists for decades, but recent excavations have brought unprecedented discoveries to light: mummified animals, ornately painted coffins, and stunning statues buried for millennia. In 2020, the global archaeological community recognized Saqqara as home to one of the year’s top ten most significant finds.</p><p><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1749440182793-1.jpg" style="width:100%px" class="fr-fic fr-dib" /></p><p>This surge of interest has led to a groundbreaking collaboration between China and Egypt—the Saqqara Digital Heritage Research Project. Launched in 2018, the initiative is jointly overseen by Shanghai International Studies University (SISU) and Egypt’s Supreme Council of Antiquities. The mission of the project: to digitally preserve and study over a thousand elaborately carved anthropoid coffins discovered at the Bastet Temple site, develop a comprehensive heritage database, and contribute to the restoration of ancient Egyptian monuments.</p><h2 id="isPasted"><strong>High-Precision Scanning with 3DeVOK MT Professional 3D Scanner </strong></h2><p>SCANTECH's <a href="https://www.3devok.com/3devok-mt-professional-3d-scanner/" target="_blank"><u>3DeVOK MT professional 3D scanner</u></a>, a cutting-edge instrument designed to capture fine details, colors and textures with non-contact, high-resolution scanning, was used to help the project team to meet the rigorous demands of archaeological digitization. The MT's advanced hybrid alignment system, which combines 34 blue laser lines, 22 infrared laser lines, and large-area infrared speckle projection, enabled archaeologists to perform efficient, precise scans without applying physical markers to fragile artifacts.</p><p><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1749440201711-2.jpg" style="width:100%px" class="fr-fic fr-dib" /></p><p id="isPasted">In two newly uncovered pyramid sites, SCANTECH's MT scanner was deployed to capture high-resolution digital replicas of monumental features including a pink granite false door, a black granite statue, and multiple anthropoid wooden coffins. These scans were carried out in complex field environments, demonstrating the MT's adaptability and ability to handle materials ranging from porous wood to polished stone.</p><p>With a basic accuracy of up to 0.04 mm and a resolution as fine as 0.05 mm, the MT 3D scanner provided not only detailed 3D geometry but also vivid color restoration. This allowed researchers to record not only the structure of the artifacts but also the subtle pigments and textures that are essential for historical interpretation and conservation.</p><p><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1749440251080-3.jpg" style="width:100%px" class="fr-fic fr-dib" /></p><h2 id="isPasted"><strong>Ultra-HD and Microwear Scanning in the Field</strong></h2><p>For the first time in Egyptian field archaeology, extreme high-definition (HD) and microwear scanning technologies were integrated into excavation workflows. These technologies allowed researchers to go beyond traditional visual analysis. They captured microscopic surface features—such as pigment stratification, engraving depth, and wear marks—that are often invisible to the naked eye.</p><p><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1749440278460-4.jpg" style="width:100%px" class="fr-fic fr-dib" /></p><p id="isPasted">SCANTECH’s MT 3D scanner played a central role in this process. With its exceptional resolution and accuracy, it preserved the full spectrum of each coffin’s physical characteristics—from sculpted contours to the delicate transitions between paint layers. These hyper-detailed scans form a vital digital archive that supports not only scholarly research but also conservation planning. By working with virtual models, restoration teams can simulate repairs, diagnose structural vulnerabilities, and develop targeted strategies—all while safeguarding the original artifacts from potential harm.</p><h2><strong>A Bridge Between Civilizations</strong></h2><p>Beyond the technical achievement, the project holds deeper cultural and academic significance. Through the lens of area studies and cross-cultural research, the collaboration showcases the complementary strengths of Chinese and Egyptian heritage conservation. It also highlights the role of digital technology as a bridge—one that connects ancient civilizations across geography and time.</p><p><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1749440293125-5.jpg" style="width:100%px" class="fr-fic fr-dib" /></p><p id="isPasted">Using SCANTECH's MT 3D scanner, the team produced accurate 3D models that will be incorporated into a digital database accessible to scholars worldwide. These models support interdisciplinary research in archaeology, history, material science, and museology, enriching our understanding of Egyptian civilization and China's contribution to global cultural heritage.</p><h2><strong>Commitment to Preservation</strong></h2><p>SCANTECH's <a href="https://www.3d-scantech.com/3d-scanners/" target="_blank"><u>non-contact </u><u>3D </u><u>scanning process</u></a> ensures that even the most delicate surfaces remain untouched. All scanning is performed with eye-safe light, preventing any potential photochemical damage to ancient pigments or materials. This precaution is vital when working with fragile wooden coffins and centuries-old painted surfaces.</p><p><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1749440305239-6.jpg" style="width:100%px" class="fr-fic fr-dib" /></p><h2 id="isPasted"><strong>Conclusion</strong></h2><p>As technology continues to evolve, the potential for high-resolution 3D scanning in heritage preservation grows exponentially. Projects like the China-Egypt Saqqara initiative demonstrate how SCANTECH's MT Professional 3D Scanner can transform archaeological practice—capturing, preserving, and sharing the wisdom of ancient civilizations with scientific precision and cultural sensitivity.</p><p>Through this collaboration, digital tools have become instruments of cultural diplomacy, enabling a new era of archaeological research grounded in mutual respect, innovation, and shared knowledge. SCANTECH is proud to play a key role in safeguarding history and promoting cross-cultural understanding—one scan at a time. </p>

SCANTECH's 3DeVOK MT professional 3D scanner is helping archaeologists digitally preserve Saqqara's fragile treasures-capturing hyper-detailed models of coffins, statues, and artifacts for global research and conservation.

Digital Transformation

ORGANIZATIONS. SHAPING THE INDUSTRY.

Kigen

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