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- W2954101811 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 evolvement model which is an evolving and high-fidelity digital twin of the physical product is first established. Then the collected cyber and physical data are fused. Based on the mode and fused data, the performance of green materials selection is simulated and evaluated. Finally, a case study on laptop design is given out to illustrate the proposed method." @default.
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- W2954101811 date "2019-01-01" @default.
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- W2954101811 title "Digital Twin Driven Green Material Optimal-Selection towards Sustainable Manufacturing" @default.
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- W2954101811 doi "https://doi.org/10.1016/j.procir.2019.04.015" @default.
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