Open this publication in new window or tab >>2021 (English)In: Metal Additive Manufacturing Conference 2021: Industrial Perspectives in Additive Technologies, 2021Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]
This plenary presentation is focused on the coming manufacturing systems for metal additive manufacturing controlled cyber-physically. Cyber-Physically controlled Smart Additive Manufacturing system (CPSAM) is a smart additive manufacturing system for realizing Industry 4.0/Smart Manufacturing on the shop floor via a cyber-physical control scheme. CPSAM is capable of 1) autonomous abnormality resolution via MAPE/BD (Monitoring, Analysis, Planning, and Execution based on Big Data analytics and Digital twin), 2) coordination with the shop floor system and 3) seamless interface with the life cycle aspects, hierarchy levels, and humans. In other words, CPSAM is capable of intelligent and autonomous functions such as:
• dealing with abnormalities during machine operation,
• coordination with shop floor devices such as robots and material handling systems,
• augmented interaction for human-robot collaborative tasks,
• collaboration with the shop floor control system for performance optimization (Key Performance Indicators, KPIs),
• interface with the life cycle aspects, CAx (Computer-Aided Design (CAD), Engineering (CAE), Manufacturing (CAM), and Quality assurance (CAQ), and Manufacturing Resource Planning (MPR II), Product Lifecycle Management (PLM), etc.),
• interface with hierarchy levels, such as Manufacturing Execution System (MES), Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), and Supply Chain Management (SCM).
This plenary presentation will describe the above-mentioned and the possible and ongoing standardization which will set the industrial baseline shortly.
Keywords
Cyber-physical systems, Additive Manufacturing, Artificial intelligence, Sensor systems, Machine learning, Automated reasoning
National Category
Mechanical Engineering Computer Systems
Research subject
Mechanical Engineering; Computer Engineering; Systems Analysis
Identifiers
urn:nbn:se:oru:diva-95381 (URN)
Conference
Metal Additive Manufacturing Conference 2021 (MAMC2021), Vienna, Austria, November 3-5, 2021
2021-11-102021-11-102021-12-17Bibliographically approved