Numerical simulation analysis for deformation deviation and experimental verification for an antenna thin-wall parts considering riveting assembly with finite element method

来源期刊:中南大学学报(英文版)2018年第1期

论文作者:汤文成 潘明辉 幸研 倪俊

文章页码:60 - 77

Key words:thin-wall parts assembly; assembly deformation deviation; theoretical deformation model; finite element simulation; measuring experiment

Abstract: In the process of thin-wall parts assembly for an antenna, the parts assembly deformation deviation is occurring due to the riveting assembly. In view of the riveting assembly deformation problems, it can be analyzed through transient and static simulation. In this work, the theoretical deformation model for riveting assembly is established with round head rivet. The simulation analysis for riveting deformation is carried out with the riveting assembly piece including four rivets, which comparing with the measuring points experiment results of riveting test piece through dealing with the experimental data using the point coordinate transform method and the space line fitting method. Simultaneously, the deformation deviation of the overall thin-wall parts assembly structure is analyzed through finite element simulation; and its results are verified by the measuring experiment for riveting assembly with the deformation deviation of some key points on the thin-wall parts. Through the comparison analysis, it is shown that the simulation results agree well with the experimental results, which proves the correctness and effectiveness of the theoretical analysis, simulation results and the given experiment data processing method. Through the study on the riveting assembly for thin-wall parts, it will provide a theoretical foundation for improving thin-wall parts assembly quality of large antenna in future.

Cite this article as: PAN Ming-hui, TANG Wen-cheng, XING Yan, NI Jun. Numerical simulation analysis for deformation deviation and experimental verification for an antenna thin-wall parts considering riveting assembly with finite element method [J]. Journal of Central South University, 2018, 25(1): 60–77. DOI: https://doi.org/10.1007/ s11771-018-3717-8.

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