ESR 13 – MODEL DATA DRIVEN FOR MACHINING PROCESSES OPTIMIZATION
The digitalization process is reaching to nearly all our daily activities. The machining sector is also immersed in the industry 4.0 new revolution. The requirements of a new era, more conscious of environment and society, and in development inside a global economy, need a new generation of tools powered by artificial intelligence capabilities. Artificial intelligence relies on Data availability for analysis. Standards enabling access to data and control of its use, as well as ensuring data interoperability, are essential..
The stated ESR is focused in the study and development of new process control models based on artificial intelligence techniques with special accent in machine learning methods and deep learning techniques. Considering the importance of data availability and management, the work will also research on the use of standardization initiatives such as Asset Administration Shell or International Data Space to support the construction of Digital Twins and integrate data within the IA algorithms on these digital platforms. The goal is the development of algorithms for optimization of production processes generated during the machining processes. The new possibilities that deep learning techniques offers will allow to tackle down challenges present and contribute to the industry 4.0 paradigm. At the same time the ESR will allow the candidate to work in a modern Industry 4.0 laboratory, collaborating with the research team that also works closed to industrial partner organizations..
This technology will help the operator on its real day work and better controlling each unit separately. Moreover, this system will eliminate human error in the inspection of product and it will add traceability of the data and the operation process.
Mondragon Goi Eskola Politeknikoa (MGEP), Spain
MCC, ULMA, UNOTT
MGEP - Dr Felix Larrinaga & Dr Mikel Cuesta
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