华南理工大学学报(自然科学版) ›› 2025, Vol. 53 ›› Issue (11): 1-.doi: 10.12141/j.issn.1000-565X.240364

• 车辆工程 •    

基于搅拌摩擦焊工艺参数分析的整车碰撞时序预测

谢正超1 刘锦灿1 李双1 李文锋2 赵晶2   

  1. 1.华南理工大学 机械与汽车工程学院,广东 广州 510640;

    2. 东北大学 机械工程与自动化学院,辽宁 沈阳 110819

  • 出版日期:2025-11-25 发布日期:2025-05-30

Time Series Prediction of Vehicle Crash Based on Analysis of Friction Stir Welding Parameters

XIE Zhengchao1 LIU Jincan1 LI Shuang1 LI Wenfeng1 ZHAO Jing2   

  1. 1. School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou 510640, Guangdong, China;

     2. School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, Liaoning, China

  • Online:2025-11-25 Published:2025-05-30

摘要:

搅拌摩擦焊技术在提升整车碰撞安全性方面具有重要意义。然而,优化整车碰撞安全性的摩擦焊工艺参数时,显式动力学模型的计算通常耗费大量时间和资源。为提高工艺参数优化效率,本文提出了一种基于搅拌摩擦焊工艺参数分析的整车碰撞时序预测方法。本文归纳了搅拌摩擦焊工艺参数与焊件强度的映射关系,并以某SUV车身数据为基础,采用有限元方法构建整车碰撞显式动力学模型,通过显式动力学计算结果对时间序列预测代理模型进行训练,开展摩擦焊整车碰撞安全性优化分析。结果表明,所提出的方法在预测精度方面表现出较高可靠性,相比传统显式动力学方法节省了50%的计算时间,显著提高了工艺参数优化的效率。基于所提出算法优化摩擦焊工艺参数,进一步提升了整车的碰撞安全性,为整车设计及其参数优化提供了有效参考。

关键词: 车身设计分析, 搅拌摩擦焊, 代理网络模型, 有限元法

Abstract:

Friction stir welding technology is of great significance in improving vehicle crash safety. However, when optimizing the friction welding process parameters for vehicle crash safety, the calculation of explicit dynamics model usually consumes a lot of time and resources. In order to improve the efficiency of process parameter optimization, this paper proposes a vehicle collision time series prediction method based on friction stir welding process parameter analysis. In this paper, the mapping relationship between the welding process parameters and the welding strength is summarized, and based on the data of an SUV body, the finite element method is used to construct the vehicle collision explicit dynamics model. The time series prediction surrogate model is trained by the explicit dynamics calculation results, and the collision safety optimization analysis of friction welding vehicle is carried out. The results show that the proposed method shows high reliability in terms of prediction accuracy, saves 50% of the calculation time compared with the traditional explicit dynamics method, and significantly improves the efficiency of process parameter optimization. The friction welding process parameters are optimized based on the proposed algorithm, which further improves the collision safety of the vehicle and provides an effective reference for the vehicle design and parameter optimization.

Key words: vehicle body design analysis, friction stir welding, surrogate model, finite element method