A digital twin-based multidisciplinary collaborative design approach for complex engineering product development |
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Affiliation: | 1. School of Mechanical Engineering, Yancheng Institute of Technology, Yancheng 224501, China;2. Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China;1. Institute of Advanced Design and Manufacturing, Southwest Jiaotong University, Chengdu 610031, PR China;2. School of Design, Northumbria University, Newcastle upon Tyne NE1 8ST, UK;1. College of Civil Engineering, Central South University, Changsha 410075, China;2. State Key Laboratory of High Performance Complex Manufacturing, Central South University, Changsha 410083, China;3. China Railway Construction Heavy Industry Co. Ltd, Changsha 410100, China;4. Key Laboratory of Shield Tunneling and Tunneling Tool Technology in Jilin Province, Jilin Welter Tunnel Equipment Co., Ltd, Jilin 132299, China;1. Information Systems and Engineering (CIISE), Concordia University, Canada;2. Department of Industrial and Systems Engineering, Wayne State University, Detroit, MI 48202, USA;1. School of Mechanical Engineering, Yanshan University, Qinhuangdao City, Hebei, PR China;2. Department of Mechanical Engineering, University of Manitoba, Winnipeg, MB, Canada |
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Abstract: | With the ever-increasing demand for personalized product functions, product structure becomes more and more complex. To design a complex engineering product, it involves mechanical, electrical, automation and other relevant fields, which requires a closer multidisciplinary collaborative design (MCD) and integration. However, the traditional design method lacks multidisciplinary coordination, which leads to interaction barriers between design stages and disconnection between product design and prototype manufacturing. To bridge the gap, a novel digital twin-enabled MCD approach is proposed. Firstly, the paper explores how to converge the MCD into the digital design process of complex engineering products in a cyber-physical system manner. The multidisciplinary collaborative design is divided into three parts: multidisciplinary knowledge collaboration, multidisciplinary collaborative modeling and multidisciplinary collaborative simulation, and the realization methods are proposed for each part. To be able to describe the complex product in a virtual environment, a systematic MCD framework based on the digital twin is further constructed. Integrate multidisciplinary collaboration into three stages: conceptual design, detailed design and virtual verification. The ability to verify and revise problems arising from multidisciplinary fusions in real-time minimizes the number of iterations and costs in the design process. Meanwhile, it provides a reference value for complex product design. Finally, a design case of an automatic cutting machine is conducted to reveal the feasibility and effectiveness of the proposed approach. |
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Keywords: | Multidisciplinary collaborative design Digital twin Engineering product design Systematic design MCD" },{" #name" :" keyword" ," $" :{" id" :" k0030" }," $$" :[{" #name" :" text" ," _" :" Multidisciplinary collaborative design DT" },{" #name" :" keyword" ," $" :{" id" :" k0040" }," $$" :[{" #name" :" text" ," _" :" Digital twin ICT" },{" #name" :" keyword" ," $" :{" id" :" k0050" }," $$" :[{" #name" :" text" ," _" :" Information and communication technology IT" },{" #name" :" keyword" ," $" :{" id" :" k0060" }," $$" :[{" #name" :" text" ," _" :" Information technology UUV" },{" #name" :" keyword" ," $" :{" id" :" k0070" }," $$" :[{" #name" :" text" ," _" :" Unmanned underwater vehicle MDO" },{" #name" :" keyword" ," $" :{" id" :" k0080" }," $$" :[{" #name" :" text" ," _" :" Multidisciplinary Design Optimization CO" },{" #name" :" keyword" ," $" :{" id" :" k0090" }," $$" :[{" #name" :" text" ," _" :" Collaborative optimization MDAO" },{" #name" :" keyword" ," $" :{" id" :" k0100" }," $$" :[{" #name" :" text" ," _" :" Multidisciplinary Design Analysis and Optimization KADMOS" },{" #name" :" keyword" ," $" :{" id" :" k0110" }," $$" :[{" #name" :" text" ," _" :" Knowledge and Graph-based Agile Design for Multidisciplinary Optimization System CPS" },{" #name" :" keyword" ," $" :{" id" :" k0120" }," $$" :[{" #name" :" text" ," _" :" Cyber physical systems DLK" },{" #name" :" keyword" ," $" :{" id" :" k0130" }," $$" :[{" #name" :" text" ," _" :" Design lesson-learned knowledge CMCO" },{" #name" :" keyword" ," $" :{" id" :" k0140" }," $$" :[{" #name" :" text" ," _" :" Configuration design-motion plan-control-development-optimization decoupling DT-II" },{" #name" :" keyword" ," $" :{" id" :" k0150" }," $$" :[{" #name" :" text" ," _" :" Dual-enhanced Industrial Internet DTMC" },{" #name" :" keyword" ," $" :{" id" :" k0160" }," $$" :[{" #name" :" text" ," _" :" Digital twin manufacturing cell |
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