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Journal of Graphics ›› 2026, Vol. 47 ›› Issue (1): 162-172.DOI: 10.11996/JG.j.2095-302X.2026010162

• Digital Design and Manufacture • Previous Articles     Next Articles

Research on assembly accuracy prediction of complex products considering rough surfaces

WANG Gangfeng1(), ZHANG Huan1, YANG Yingying2, LIU Yitao3, GUO Yanyun3, YUE Ping4, SUN Yanhui1   

  1. 1 Key Laboratory of Road Construction Technology and Equipment of MOE, Chang’an University, Xi’an Shaanxi 710064, China
    2 Xingzhi College, Xi’an University of Finance and Economics, Xi’an Shaanxi, 710038, China
    3 China Railway Baoji Bridge Group Co., Ltd., Baoji Shaanxi 721006, China
    4 State Sida Machinery Manufacturing Company, Xianyang Shaanxi 712200, China
  • Received:2025-06-05 Accepted:2025-10-10 Online:2026-02-28 Published:2026-03-16
  • Contact: WANG Gangfeng
  • Supported by:
    Educational Scientific Planning Project of the 14th Five-Year Plan of Shaanxi Province(SGH22Y1274);Laboratory Key Project of Natural Science Foundation of Shaanxi Province(2025SYS-SYSZD-104);Collaborative Education Project of Industry-University Cooperation of the Ministry of Education(230802436213147);Project of Key Laboratory of Earthmoving Machinery Intelligent Construction Technology of Shandong Province(PKL2024F13)

Abstract:

Given that the impact of rough surfaces on assembly accuracy had been insufficiently considered in the existing assembly accuracy prediction for complex products, leading to inaccurate precision prediction and limited practical assembly applicability, an assembly-accuracy prediction method considering rough surfaces was proposed. Firstly, an assembly-accuracy information model was constructed to express mating feature, geometric tolerance, and roughness information. Based on the model, an assembly-precision knowledge graph was constructed. Secondly, a geometric-tolerance representation model was established based on the Small-Displacement Torsor (SDT) theory; a simulation method for rough surfaces of plane and cylindrical parts as well as a determination method of SDT expressions were studied. Thirdly, the error-propagation path of the assembly was determined according to the assembly sequence, and a pose-relationship graph for the assembly was constructed. Then, the assembly-precision prediction was achieved using a Jacobian-torsor model. Finally, the feasibility of the method was verified using the crank-connecting-rod mechanism of a specific construction-machine model as an example. The simulation results demonstrated that the method could achieve accurate assembly-precision prediction and provided valuable guidance for practical assembly operations.

Key words: assembly accuracy prediction, rough surface, knowledge graph, small displacement torsor, Jacobian matrix

CLC Number: