S0410 Tools for adaptive and intelligent control of discrete manufacturing processes TANDEM - Final Project Report

Abstract

The TANDEM project aimed at establishing a data-driven and artificial intelligence-based monitoring and controlling platform and tools that support robotic discrete manufacturing processes, cells, or production systems. The control systems and tools enable an agile, flexible, and quickly reconfigurable manufacturing unit with short ramp-up times and better productivity and quality. Furthermore, extensive manufacturing data collection, warehousing, and analysis enable full traceability and enhance digital quality assessment of the product. The development of the novel tools took place in three industrial demonstrator applications that also cover different scales of manufacturing from individual process equipment to manufacturing cells, to production systems.The overall TANDEM objective was to achieve a high level of automation and remove time and resource consuming manual manufacturing tasks. This requires smart offline programming and process planning and robust and flexible control systems based on AI/ML that can learn from process data and compensate for the deviations that occur due to inaccuracies in tool manipulation, fixturing, varying work piece geometries, heat distortions etc. This is achieved by development of a novel control strategies for the addressed processes to give high consistent quality of the products by applying technologies, such as AI/ML, to achieve intelligent process control.