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Research on assembly accuracy prediction of complex products considering rough surfaces
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Gangfeng WANG1, Huan ZHANG1, Yingying YANG2, Yitao LIU3, Yanyun GUO3, Ping YUE4, Yanhui SUN1
Journal of Graphics | 2026, 47(1) : 162 - 172
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Journal of Graphics | 2026, 47(1): 162-172
• Digital Design and Manufacture •
Research on assembly accuracy prediction of complex products considering rough surfaces
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Gangfeng WANG1, Huan ZHANG1, Yingying YANG2, Yitao LIU3, Yanyun GUO3, Ping YUE4, Yanhui SUN1
Affiliations
  • 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
Published: 2026-02-28 doi: 10.11996/JG.j.2095-302X.2026010162
Outline
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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.

assembly accuracy prediction  /  rough surface  /  knowledge graph  /  small displacement torsor  /  Jacobian matrix
Gangfeng WANG, Huan ZHANG, Yingying YANG, Yitao LIU, Yanyun GUO, Ping YUE, Yanhui SUN. Research on assembly accuracy prediction of complex products considering rough surfaces[J]. Journal of Graphics, 2026 , 47 (1) : 162 -172 . DOI: 10.11996/JG.j.2095-302X.2026010162
Funding
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  • 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)
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Year 2026 volume 47 Issue 1
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19
8
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Article Info
doi: 10.11996/JG.j.2095-302X.2026010162
  • Receive Date：2025-06-05
  • Online Date：2026-05-19
  • Published：2026-02-28
Article Data
Affiliations
History
  • Received：2025-06-05
  • Accepted：2025-10-10
Funding
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)
Affiliations
    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

Corresponding:

WANG Gangfeng，E-mail:
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