Part of the Managing Composites team at JEC World 2026

This year was also a big one for us as exhibitors. We went all out like never before and showcased some truly exciting projects. It’s not every day you’re asked to collaborate on the development of a carbon fiber monocoque for a V12 hypercar pushing up to 1,850 hp and 450 km/h (280 mph) like the Zenvo Aurora. And getting to display that chassis at our JEC stand? It has been a total crowd magnet. Nobody could stay away. Want to make friends at JEC? Bring a carbon fiber monocoque. Conversation guaranteed.

The Zenvo Aurora monocoque developed in collaboration between Zenvo and Managing Composites

Another highlight we brought to JEC was one of the chassis panels made with flax fiber for the LIUX Big, a new electric urban vehicle set to be manufactured in Spain. It’s proof that when the right engineering meets composites, efficient mobility can completely transform how cars are built. A car chassis made from plant-based materials that’s as strong as steel? Yes, it is another perfect conversation starter at JEC.

A flax panel developed in collaboration between Managing Composites and LIUX for the linen monocoque of the LIUX BIG urban car

At Managing Composites, we’ve always been driven to make composites accessible to everyone. That’s why we’re so proud to support JEC as a media partner and help spread the word about the biggest event in the composites world. With that same mission in mind, we launched The Native Lab a few years ago to provide accessible training—from beginner to advanced—in composites for anyone, anywhere. More recently, we also introduced ESEN·EYE, a professional tool designed to take composites quality control to the next level.

Last year at JEC, we showcased the advantages of computer vision-based inspection and the digitalization of quality control processes for composites. This year, we took it a step further by presenting the latest ESEN·EYE development: a portable device that brings this technology anywhere, allowing it to be applied to any part without losing an ounce of micro-scale precision—built specifically with mobility in mind.

Managing Composite’s CEO, Lluc Martí, sharing the stage with Daniel Pyzak, CATIA expert from Dassault Systèmes

When we say the 2026 edition of JEC was special for us, we really mean it. On the very first day, our CEO, Lluc Martí, took the stage alongside Daniel Pyzak, a CATIA expert from Dassault Systèmes, to explain how we use the iconic software that revolutionized the industry to design some of the world’s most exclusive hypercars. We had already been invited to present this at a Dassault Systèmes Expert Session a few months earlier, and getting to share our experience again—this time with the JEC audience—was an absolute pleasure.

At Managing Composites, we’ve always worked toward making the composites industry bigger, more popular, and more successful. That’s why we sponsor students, collaborate on research projects with other companies, and stay open to working with startups, labs, universities, and any organization that brings value to the sector.

When BIOFIBIX approached us to test their material, we were genuinely impressed—so we teamed up to explore just how far these composites could go. To put the material to the test in a real-world application, we collaborated with Zenvo and built a rear wing similar to the one on the Zenvo Aurora Agil using flax fiber. We were thrilled to see this part showcased at the Alliance for European Flax-Linen & Hemp stand, highlighting the huge potential of natural fiber composites.

Our relationship with JEC has always been something special, but the 2026 edition truly exceeded all expectations. We shared laughs with old friends, reconnected with past collaborators, discovered exciting innovations and projects, and met plenty of new people who share our passion for composites. Being a media partner of the leading international composites show is something we’re incredibly proud of—and it’s amazing to see our passion resonate with more and more people every year.

We’re already counting down to the 2027 edition! 🚀

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In recent years, Artificial Intelligence (AI) has moved from being a promising concept to becoming a practical tool in manufacturing environments. In composite materials production, its potential is particularly significant due to the complex, heterogeneous nature of these materials.

With a computer vision and image analysis system powered by AI, it is possible to perform the same quality control as with traditional manual or automated methods, but faster, easier, and with greater precision. In addition, it enables many other capabilities that were previously impossible.

Pinholes are among the many defects that are automatically detected, measured, and classified.

For this reason, at Managing Composites we launched ESEN·EYE as a way to continue expanding the potential of composite materials and explore solutions that would not otherwise be possible.

From Sampling to Full‑Production Inspection

In many production settings, only a sample of parts is inspected in detail, due to time and resource constraints. This approach carries an inherent risk: undetected defects in uninspected parts.

Automatic generation of part quality reports provides absolute traceability for any conforming or non-conforming part

An AI‑driven inspection system can analyze 100% of the parts without slowing down production. This not only improves quality assurance and reduces the likelihood of defective parts reaching the final assembly stage, but also provides a visual record of the condition of every part at the time of manufacture. This enables complete traceability for each manufactured component.

Objective and Repeatable Measurements

Human visual inspection is subject to variability caused by fatigue, differences in experience, or subjective interpretation of defect criteria. By contrast, computer vision systems apply the same inspection rules consistently, regardless of operator or shift. This removes subjectivity from the process and enables quantitative, traceable quality metrics.

Early Detection and Feedback Loops

One of the strengths of computer vision technology is its ability to provide real‑time feedback. When integrated into the production line, an AI analysis system can immediately flag a deviation, enabling process adjustments before further parts are affected.

In a center line matching report, every distance is precisely measured to evaluate, numerically, the accuracy of the fiber placement.

This helps reduce scrap, rework, and associated costs, while also shortening the time between defect occurrence and corrective action. This reduces the number of parts manufactured outside tolerance, avoiding delays, cost increases, and unnecessary environmental impact.

The technology developed in ESEN·EYE inspects in real time for pinholes, fiber orientation, center line matching, possible contaminations, aesthetic defects such as scratches, and much more. For more information, you can visit the ESEN·EYE website to learn more about its applications in composite part manufacturing.

The post How can Artificial Intelligence improve composite parts? appeared first on Managing Composites.