白车身激光焊接过程的变形预测及几何补偿方法

doi:10.16183/j.cnki.jsjtu.2019.01.009

上海交通大学学报 ›› 2019, Vol. 53 ›› Issue (1): 62-68.doi: 10.16183/j.cnki.jsjtu.2019.01.009

白车身激光焊接过程的变形预测及几何补偿方法

王庆1，刘钊1，黄平华2，朱平1

1. 上海交通大学机械系统与振动国家重点实验室，上海 200240; 2. 上汽大众汽车有限公司，上海 201805

出版日期:2019-01-28 发布日期:2019-01-28
通讯作者: 朱平，男，教授，博士生导师，电话(Tel.)：021-34206787；E-mail: pzhu@sjtu.edu.cn.
作者简介:王庆(1992-)，男，浙江省舟山市人，硕士生，主要研究方向为结构优化设计.

Distortion Prediction and Geometry Compensation Method for Laser Welding-Induced Distortion of Body-in-White

WANG Qing,LIU Zhao,HUANG Pinghua,ZHU Ping

1. State Key Laboratory of Mechanical System and Vibration, Shanghai 200240, China; 2. SAIC Volkswagen Automotive Co., Ltd., Shanghai 201805, China

Online:2019-01-28 Published:2019-01-28

摘要/Abstract

摘要： 针对白车身激光焊接过程中热成形钢板变形较大的问题，通过几何补偿方法消除焊接变形对装配过程的影响，建立了钢板焊接变形的几何补偿优化流程，通过基于有限元方法的焊接过程模拟来预测激光焊接的板件变形程度，并结合最优拉丁超立方采样、Kriging近似模型与粒子群优化算法对B柱加强板进行几何补偿优化.结果表明，优化后的B柱加强板经过激光焊接后与原设计型面吻合较好.

关键词: 白车身, 激光焊接, 变形预测, 几何补偿方法, Kriging近似模型, 粒子群优化算法

Abstract: Aimed at the problem that hot-forming steel parts occur large distortion after the laser welding of body-in-white, a geometry compensation method was presented to eliminate the impact of weld-induced distortion, and the process of this method was established. The welding-induced distortion was accurately predicted based on finite element method. The geometry compensation solution of B-pillar was obtained utilizing optimal Latin hypercube method, Kriging metamodel technology and particle swarm optimization algorithm. Results show that the optimized B-pillar is in a good agreement with the ideal design after laser welding procedure.

Key words: body-in-white, laser welding, distortion prediction, geometry compensation method, Kriging metamodel, particle swarm optimization algorithm

中图分类号:

U 466

王庆, 刘钊, 黄平华, 朱平. 白车身激光焊接过程的变形预测及几何补偿方法[J]. 上海交通大学学报, 2019, 53(1): 62-68.

WANG Qing, LIU Zhao, HUANG Pinghua, ZHU Ping. Distortion Prediction and Geometry Compensation Method for Laser Welding-Induced Distortion of Body-in-White[J]. Journal of Shanghai Jiao Tong University, 2019, 53(1): 62-68.

参考文献

［1］PERRET W, THATER R, ALBER U, et al. Approach to assess a fast welding simulation in an industrial environment—Application for an automotive welded part［J］. International Journal of Automotive Technology, 2011, 12(6): 895-901. ［2］SHANMUGAM N S, BUVANASHEKARAN G, SANKARANARAYANASAMY K, et al. Some studies on temperature profiles in AISI 304 stainless steel sheet during laser beam welding using FE simulation［J］. The International Journal of Advanced Manufacturing Technology, 2009, 43(1/2): 78-94. ［3］ZAIN-UL-ABDEIN M, NELIAS D, JULLIEN J F, et al. Prediction of laser beam welding-induced distortions and residual stresses by numerical simulation for aeronautic application［J］. Journal of Materials Processing Technology, 2009, 209(6): 2907-2917. ［4］ISLAM M, BUIJK A, RAIS-ROHANI M, et al. Process parameter optimization of lap joint fillet weld based on FEM-RSM-GA integration technique［J］. Advances in Engineering Software, 2015, 79: 127-136. ［5］GOLDAK J, CHAKRAVARTI A, BIBBY M. A new finite element model for welding heat sources［J］. Metallurgical and Materials Transactions B, 1984, 15(2): 299-305. ［6］FERRO P, ZAMBON A, BONOLLO F. Investigation of electron-beam welding in wrought Inconel 706—Experimental and numerical analysis［J］. Materials Science and Engineering A, 2005, 392(1/2): 94-105. ［7］董文超, 陆善平, 李殿中. 焊接顺序对大型薄板装甲钢结构焊接变形的影响［J］. 焊接学报, 2015, 36(7): 43-46. DONG Wenchao, LU Shanping, LI Dianzhong. Effect of welding sequence on welding distortion of large-sized thin armor steel structure［J］. Transactions of the China Welding Institution, 2015, 36(7): 43-46. ［8］FAHLSTRM K, ANDERSSON O, MELANDER A, et al. Correlation between laser welding sequence and distortions for thin sheet structures［J］. Science and Technology of Welding and Joining, 2017, 22(2): 150-156. ［9］JIN R, CHEN W, SUDJIANTO A. An efficient algorithm for constructing optimal design of computer experiments［J］. Journal of Statistical Planning and Inference, 2005, 134(1): 268-287. ［10］HOLLAND J H. Adaptation in natural and artificial system: An introduction with application to biology, control and artificial intelligence［M］. Ann Arbor, USA: University of Michigan Press, 1975.

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白车身激光焊接过程的变形预测及几何补偿方法

Distortion Prediction and Geometry Compensation Method for Laser Welding-Induced Distortion of Body-in-White

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