Digital twin-driven intelligent production line for automotive MEMS pressure sensors |
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| Affiliation: | 1. The Institute of Technological Sciences, Wuhan University, Wuhan 430072, China;2. School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China;3. Wuhan FineMEMS Inc., Wuhan 430075, China;4. Wuhan Huagong Cyber Data System Co., Ltd., Wuhan 430074, China;5. School of Automobile and Traffic Engineering, Wuhan University of Science and Technology, Wuhan 430065, China;1. School of Management, Northwestern Polytechnical University, Xi’an, PR China;2. Mechanical Engineering and Design Department, Université de Bourgogne Franche-Comté, Université de technologie de Belfort-Montbéliard, Belfort Cedex, France;3. School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an, PR China;4. Guangdong Provincial Key Laboratory of Advanced Welding Technology for Ships, CSSC Huangpu Wenchong Shipbuilding Company Limited, Guangzhou, PR China;1. TUM School of Engineering and Design, Chair for Energy Efficient and Sustainable Design and Building, Technical University of Munich (TUM), Arcisstr. 21, 80333 Munich, Germany;2. Department of Architecture and Technology, Faculty of Architecture and Design, Norwegian University of Science and Technology (NTNU), Alfred Getz vei 3, 7491 Trondheim, Norway;3. TUM School of Engineering and Design, Chair of Computational Modeling and Simulation, Technical University of Munich (TUM), Arcisstr. 21, 80333 Munich, Germany;1. Department of Industrial Engineering and Management, Shanghai Jiao Tong University, Shanghai 200240, China;2. College of Mechanical Engineering, Donghua University, Shanghai 201620, China;3. Shanghai Waigaoqiao Shipbuilding Company, Shanghai 200137, China;1. Department of Industrial Engineering, School of Mines, China University of Mining and Technology, Xuzhou 221116, Jiangsu, China;2. Department of Industrial Engineering, Business School, University of Shanghai for Science and Technology, Shanghai 200093, China |
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| Abstract: | The equipment and technological processes used in manufacturing electronic products are gradually being automated and networked. Currently, digital twin technology continues to evolve and mature. The electronics manufacturing industry is undergoing an intelligent and digital transformation. Micro-electro-mechanical system (MEMS) sensors have been widely used in the automotive field due to their small size, low cost, and high reliability. In this study, a new intelligent production line for automotive MEMS pressure sensors driven by digital twin is individually designed. The intelligent production line system consists of physical production lines, digital production lines, twin data, and data service systems. The technology of multi-source heterogeneous data acquisition is used to process and analyze data collected in real time in a physical production line. Based on the technology of parallel control, the physical and digital production lines are synchronized. To obtain optimal process parameters, a process database is established through the analysis of the key processes of the production line. Three types of automotive MEMS pressure sensors are successfully manufactured in the constructed digital twin-driven intelligent production line. The intelligent production line can realize 24-h unattended operation. The product yield is above 98 %, and the takt time is less than 16 s. |
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| Keywords: | Digital twin Multi-source heterogeneous data acquisition Parallel control Real-time monitoring and mapping Process optimization |
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