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Procedia CIRP, v.81, 2019년, pp.1290 - 1294
Xiang, Feng (Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology) , Zhang, Zhi (Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology) , Zuo, Ying (School of Automation Science and Electrical Engineering, Beihang University) , Tao, Fei (School of Automation Science and Electrical Engineering, Beihang University)
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Abstract Green material optimal-selection in product design is a key issue for realizing sustainable manufacturing. In order to improve the accuracy and efficiency for green material optimal-selection in product, a new method driven by digital twin (DT) is proposed. In this method, an optimal evolv...
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