High-precision deformation prediction for compliant parts in the ship sub-assembly process

Author:

Jin Xuancheng,Zhang Kaigan,Xu Yuhui,Cao Lei,Ding Yutong,Seidelmann Joachim,Xia Tangbin

Abstract

Abstract In the ship sub-assembly process, large compliant parts are common and generally thin. These compliant parts are normally easy to deform under the influence of gravity, which will greatly affect the accuracy of the sub-assembly processes. Thus, it is important to predict the deformation of the compliant part under a given fixture layout in advance. In current practice, existing methods of post-compensation are usually used to correct the deformation of the compliant part, which are inefficient and costly. In this paper, a transformer-based surrogate model with two-stage Latin hypercube sampling (TSM-TSS) is established. This surrogate model considers each fixture position and its deviation to predict the deformation of the entire compliant part. Compared with BPNN and Kriging, a case study reveals that TSM-TSS can predict the deformation of compliant parts with an error of 0.061mm. With the application of TSM-TSS, the deformation of the compliant part under gravity can be predicted accurately and the efficiency of shipbuilding can be improved.

Publisher

IOP Publishing

Subject

Computer Science Applications,History,Education

Reference29 articles.

1. Thin Plate Buckling Mitigation and Reduction Challenges for Naval Ships;McPherson;Journal of Marine Engineering & Technology,2013

2. Hybrid nonlinear variation modeling of compliant metal plate assemblies considering welding shrinkage and angular distortion;Liu;Journal of Manufacturing Science and Engineering,2020

3. FEA-based methodology for the prediction of part–fixture behaviour and its applications;Ratchev;Journal of Materials Processing Technology,2007

4. Deformable Sheet Metal Fixturing: Principles, Algorithms, and Simulations;Cai;ASME J. Manuf. Sci. Eng.,1996

5. Fixture layout optimization for car dashboard based on N-X locating principle;Liu;Proceedings of the Institution of Mechanical Engineers Part B: Journal of Engineering Manufacture,2022

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3