Resonant testing for quality control and process monitoring

(Open Call)
Status
open
Process industry 2

Resonant testing for quality control and process monitoring

Challenge

Quality Control that keeps up with production speed

In high-volume manufacturing, production speed often comes at the cost of quality assurance. Traditional inspection methods are too slow, expensive, or intrusive to be integrated inline. As a result, many production lines rely on limited sampling or offline testing, which leads to:

  • Missed defects and reduced product quality;
  • Higher scrap rates and material waste.

To move towards zero-defect manufacturing, we need quality control solutions that are as fast and scalable.

Project goals

Inline Vibrational Quality Control Demonstrator

This project aims to develop a demonstrator for inline vibrational quality control. A solution that delivers real-time insights into product integrity without disrupting production speed.

Our approach enables the following:

  • Fast and reliable testing based on vibration technology;
  • Better detection of both hard and soft defects, such as porosity, cracks, cavities, microstructural changes, residual stress, and creep;
  • Continuous monitoring of production line performance over time;
  • AI-driven data analysis for intelligent defect detection and trend prediction;
  • Broad applicability across materials (metals, composites, ceramics, polymers) and manufacturing processes (additive manufacturing, milling, casting, injection moulding, etc.).

The inspection solution will be fast, cost-effective, and user-friendly, enabling 100% part screening without slowing down production.

By leveraging vibration-based testing, the system will accurately determine the structural integrity of each part and provide an instant PASS/FAIL decision directly on the production line.

Interested?

We are looking for companies to join our research and work with us on the valorisation of the project. Interested? Complete the form below and we will contact you as soon as possible.


Process industry 2