JOURNAL ARTICLE

A feature-based assembly information modeling method for complex products’ 3D assembly design

Zhan WangShengwen ZhangNan WangJingying XuDe-Jun Cheng

Year: 2022 Journal:   Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture Vol: 237 (9)Pages: 1311-1325   Publisher: SAGE Publishing

Abstract

During the assembly design of complex products, the process data management is disordered and the data expression is not standardized, and depends mainly on the experience of technical personnel resulting in a lack of unified data source, low design efficiency, and low automation. This paper proposes a feature-based assembly information model to address these problem, providing standardized original design data for complex product 3D-assembly design. Taking the geometric feature of the mating faces as the study object, the overall structure of complex products and the information requirements of each assembly design stage were analyzed to construct the assembly feature information model. By focusing on the composition and expression form of information in the assembly feature information model, a geometric feature classification criterion applicable to assembly design is presented, and the matching rules of feature pairs, assembly relationship, and assembly constraint instructions are established. Based on these, assembly design information is extracted and expressed in a standardized form. As a validation, the modeling method was conducted on a marine diesel engine cylinder cap as a case study; the performance and applicability of the established rules and the extraction and expression methods were verified through the comparison with the assembly process of the cylinder cap.

Keywords:
Assembly modelling Feature (linguistics) Construct (python library) Computer science Expression (computer science) Constraint (computer-aided design) Information model Process (computing) Feature model Engineering drawing Matching (statistics) Data mining Object (grammar) Product (mathematics) Engineering Artificial intelligence Software engineering Programming language Mathematics

Metrics

9
Cited By
1.43
FWCI (Field Weighted Citation Impact)
28
Refs
0.82
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Manufacturing Process and Optimization
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering
Additive Manufacturing and 3D Printing Technologies
Physical Sciences →  Engineering →  Automotive Engineering
3D Shape Modeling and Analysis
Physical Sciences →  Engineering →  Computational Mechanics

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