The challenge of creating more meaningful data for quality optimization.


Xabier Beudaert
July, 2021

Dr. Xavier Beudaert is a researcher in the Dynamics & Control department of IDEKO. IDEKO is an industry driven Spanish Research Centre specialised in production and advanced manufacturing technologies. Xavier obtained his master in advanced systems & robotics. Then, he made his PhD in Paris in the field of 5-axis machining. In 2020, he received the Taylor Medal award from the international CIRP academy for his scientific work on a portable active damping system.

Could you describe the role of WP2 in InterQ concept?

InterQ-Process aims at controlling the quality of the manufacturing processes and equipment. New physical sensors will be used in the machine tools to measure as close as possible to the tool tip. Artificial intelligence algorithms will allow processing the valuable operator feedback on the process behaviour and unexpected events such as tool breakage, vibrations… This currently unexploited data source will be combined to video recordings and contextualized in the global InterQ monitoring framework. Virtual sensing techniques that combine physical sensor data, experimental characterisations and models will provide the critical process characteristics that cannot be directly measured. Finally, the machine behaviour and process repeatability will be controlled using the fingerprint concept that aims at controlling deviations with respect to an established satisfactory behaviour.

Which are the main challenges faced by WP2?

The challenge of this work package is to create more meaningful data for quality optimization. Therefore, additional sensors and actuators will be installed close to the processing point. Those systems already tested at laboratory level will be introduced in industrial facilities for machining operations (grinding, milling, turning). The main challenge is to defined  the Key Performance Indicators related to the process that should be reliable and useful for the global InterQ platform.


Which will be the outcomes of this WP?

The advanced actuator/sensor systems can collect the high frequency vibrations used for the product quality prediction of InterQ-Product. The status of the machine is also an important information for quality optimization. The fingerprint of the machines will be obtained by standard tests performed periodically. Thanks to these tests the accuracy, repeatability and the state of different component are tested, and a reference to this fingerprint is included in the InterQ quality control platform.


How do you expect that InterQ will change current manufacturing processes?

InterQ-Process will monitor the quality of the manufacturing process with new physical and virtual sensors able to estimate the critical process characteristics. The machine / process fingerprint will capture the normal production state to enable early detection of any deviation. Combined with the other InterQ modules, InterQ-Process will enhance the quality of the European manufacturing industry.

INTERQ is supported by the European Union. Have you participated in more projects funded by the EU? How do you evaluate them?

Yes, I was the technical coordinator of the H2020 MC-Suite project. With the 3 years’ time frame, European projects are very useful to develop new technologies and get new knowledge. Indeed, long term projects are needed to face the most challenging problems of the machine tools and develop innovative solutions.