NEWS
One of the most attractive aspects of this project is the diversity of partners who participate in it.
With the results of the InterQ project, we expect to have improved process capability and product quality in machining operations, obtaining real time data analyzes to predict machine behaviour.
Investigate approaches to detect and repair data quality errors during the manufacturing process.
Monitoring data quality is a pre-requisite to zero-defect manufacturing as the quality of the data reflects the quality of the process and the product.
Artificial Vision to assess product quality in InterQ
Video Systems (videosystems.it), leveraging its consolidated experience in industrial monitoring through image processing techniques.
Interq-TrustedFramework: Blockchain Technology for Zero Defect Manufacturing
Mauro Isaja, from Engineering and WP6 leader, provided a set of workshops to introduce InterQ-TrustedFramework.
InterQ at the High Speed Machining Conference 2021
InterQ project had a very relevant presence in the High Speed Machining Conference 2021 celebrated in Darmstadt, Germany.
M12 InterQ General Meeting at CFAA.
The M12 General meeting of InterQ project was held on the 19 and 20th of October in Zamudio (Bizkaia, Spain).
Designing, manufacturing, and testing both a single point, and rotational spindle grinding wheel dressing tools.
The result is a decrease in performance and repeatability and an increase in energy consumption and waste.
The TrustedFramework is a unique component of the general InterQ architecture.
WP6 is in charge of the development and integration of the InterQ TrustedFramework.
Outstanding presence of IDEKO at the CIRP General Assembly, the most important international forum on Advanced Manufacturing.
For IDEKO it is a real pride to have a researcher of the stature of Xavier Beudaert on our team.
Highlights from SEA4DQ 2021 – the 1st International Workshop on Software Engineering and AI for Data Quality in Cyber-Physical Systems.
Written by Phu Nguyen, SINTEF, Norway.
The purpose of this digital twin is the prediction of product quality.
Q-DAS’s main objective in the InterQ project is the development of a digital twin of a real production line of its project partners.
The challenge of creating more meaningful data for quality optimization.
InterQ-Process aims at controlling the quality of the manufacturing processes and equipment.