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An Intelligent Redesign Method for Used Products Based on Digital Twin

Author

Listed:
  • Chao Ke

    (School of Art and Design, Wuhan Institute of Technology, Wuhan 430205, China)

  • Xiuyan Pan

    (School of Automotive Technology and Service, Wuhan City Polytechnic, Wuhan 430081, China)

  • Pan Wan

    (Wuhan Maritime Communication Research Institute (WMCRI), Wuhan 430205, China)

  • Zixi Huang

    (School of Art and Design, Wuhan Institute of Technology, Wuhan 430205, China)

  • Zhigang Jiang

    (College of Mechanical Engineering, Hubei University of Automotive Technology, Shiyan 442002, China
    Academy of Green Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan 430081, China)

Abstract

Remanufacturing used products is an important technological approach in sustainable development and circular economy. Meanwhile, redesign is the key component of remanufacturing, as it can innovate the function and structure of used products. However, due to the uncertain quality, variety, and small batches of the returned used products for remanufacturing, it is difficult to generate a sound redesign scheme to satisfy the customer demand quickly and dynamically. In addition, it is unpredictable whether the redesign scheme is suitable for the remanufacturing processes, which may lead to additional remanufacturing costs. In order to improve the efficiency of design and obtain the optimal design scheme, it is necessary to use intelligent technology to quickly generate and optimize the redesign scheme. To address this, an intelligent redesign method for used products based on the digital twin is proposed in this paper. Digital twin (DT) technology can connect the physical world with the virtual world and use the virtual model to simulate the redesign process, which is conducive to the dynamic adjustment and optimization of the redesign scheme. Firstly, the redesign process framework is constructed based on the axiomatic design (AD) method, and the redesign features of the used products are analyzed to determine the redesign problems. Then, based on the connotation of a digital twin, an intelligent redesign framework is constructed, which provides detailed guidance for building the digital-twin-driven redesign system. Henceforth, the application of the redesign process based on a digital twin is discussed, a technical approach of the digital-twin-driven redesign is proposed, and data processing methods, such as data cleaning, data integration, and data analysis, are used to realize the redesign scheme decision. Finally, the feasibility of this method is verified by the redesign of a used clutch.

Suggested Citation

  • Chao Ke & Xiuyan Pan & Pan Wan & Zixi Huang & Zhigang Jiang, 2023. "An Intelligent Redesign Method for Used Products Based on Digital Twin," Sustainability, MDPI, vol. 15(12), pages 1-19, June.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:12:p:9702-:d:1173229
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    References listed on IDEAS

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    1. Zhigang Jiang & Ya Jiang & Yan Wang & Hua Zhang & Huajun Cao & Guangdong Tian, 2019. "A hybrid approach of rough set and case-based reasoning to remanufacturing process planning," Journal of Intelligent Manufacturing, Springer, vol. 30(1), pages 19-32, January.
    2. Fei Tao & Qinglin Qi, 2019. "Make more digital twins," Nature, Nature, vol. 573(7775), pages 490-491, September.
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    Cited by:

    1. Janine Mügge & Anne Seegrün & Tessa-Katharina Hoyer & Theresa Riedelsheimer & Kai Lindow, 2024. "Digital Twins within the Circular Economy: Literature Review and Concept Presentation," Sustainability, MDPI, vol. 16(7), pages 1-22, March.

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