REPEATABILITY & PRECISION PREDICTIVE REPRODUCIBILITY

Today's industry is content with artisanal methods or ad hoc quality control. In high-tech sectors, where safety is non-negotiable, precision repeatability and predictive reproducibility are seen as absolute must-haves...

The zero defects challenge

For EDELTAMPin a market where a single imperfectly injected part can compromise the integrity of an entire system, rigor is not an option. "We don't have the right to make mistakes", sums up operations management, who make quality a condition of robustness and growth.

The challenge is strategic: to penetrate sectors such as aeronautics, defense and medical, where there is no room for approximation.

To achieve this objective, the teams are focusing on continuous process control. Predictive analysis of molding flows will enable us to anticipate part behavior: filling times, melting temperatures, risk of warping. By acting upstream, the company aims to reduce rejects and extra costs, while guaranteeing perfect shape retention.

To perfect this objective, the vacuum in the molds will be further optimized. By evacuating air and hot gases, this process ensures homogeneous filling, without bubbles or internal stresses. The benefits are twofold: greater dimensional and geometric stability, essential for micrometric components, and impeccable surface quality. "A vacuum in the mold becomes an essential condition for delivering reliable parts, where error is simply not permitted", insists a site engineer.

Connecting the entire process

But the quest for zero defects is not limited to molds. EDELTAMP sees its factory as a connected industrial ecosystem, where machines, sensors and software are in constant dialogue. The idea is to produce complex parts with enhanced reliability thanks to the massive integration of real-time data.

Each mold and injection press will be equipped with sensors. These will continuously measure pressure, temperature and cooling speed, in order to precisely monitor the material front. In the event of the presence of air or localized overheating, the system can immediately correct the situation. This feedback loop reduces the margins of uncertainty and gives the process an almost surgical precision.

From raw data to artificial intelligence

Collecting information is one step, interpreting it is another. This is where artificial intelligence comes in. Thanks to machine learning algorithms, sensor data will not remain dormant: it will be analyzed to detect deviations invisible to the human eye, and predict possible faults before they occur.

Each part will have a "digital twin", a virtual replica of its manufacturing cycle. This twin will enable theoretical parameters to be compared with actual values. If an anomaly occurs, the system can automatically adjust production or alert operators. In the same spirit, AI will facilitate predictive maintenance, anticipating wear and tear on equipment and avoiding costly repairs.

Anticipate all variables

Contraction, deformation, thermal expansion: all these parameters can compromise the final quality of a part. For EDELTAMPanticipating these factors has become an imperative, not only economically, by reducing rejects, but also strategically, to satisfy customers whose safety standards tolerate no compromise.

In the workshop, this requirement translates into increased vigilance at every stage. From mold design to the cooling phase, everything must be controlled, recorded and correlated. Precision is not just a question of a single part, but of thousands of identically reproducible cycles.

A leaner, more flexible industry

In addition to technical performance, the site's transformation is in line with a commitment to environmental responsibility. Optimizing energy consumption, limiting material losses, extending machine life: these are just some of the objectives that enable us to reduce our production footprint.

TheEDELTAMP plant of tomorrow will also be more flexible. Able to accommodate a variety of projects, it adapts its processes to the specific needs of each customer. This flexibility opens the way to new collaborations, particularly with strategic players looking for a partner capable of combining precision and reliability.

Unwavering technological ambition

At Heyrieux, the project is twofold: technical and cultural. The production plant doesn't just produce: it predicts, controls and guarantees. For EDELTAMPs commitment to Industry 4.0 is not simply a matter of modernization, but a genuine overhaul of its production facilities, embodying a conviction for the future.

In the aeronautics, defense and medical industries, quality is measured in micrometers, and safety must be flawless, EDELTAMP relies on the convergence of technology and human know-how. The aim is to build even smarter, more connected and more sustainable customer solutions that combine precision and prediction.