基于SPH方法的焊接熔池流体动力学仿真研究

doi:10.16182/j.issn1004731x.joss.18-0312

系统仿真学报 ›› 2019, Vol. 31 ›› Issue (8): 1711-1718.doi: 10.16182/j.issn1004731x.joss.18-0312

基于SPH方法的焊接熔池流体动力学仿真研究

谢本凯^1,4, 周强², 李琴³, 林睿浚¹

1. 郑州航空工业管理学院物流学院,郑州 450046;
2. 武汉理工大学物流工程学院,武汉 430070;
3. 郑州航空工业管理学院信息科学学院,郑州 450046;
4. 航空经济发展河南省协同创新中心, 郑州 450000

收稿日期:2018-05-24 修回日期:2018-11-21 发布日期:2019-12-12
作者简介:谢本凯(1987-),男,河南濮阳,博士,讲师,研究方向为复杂系统建模与仿真。
基金资助:
河南省高等学校重点科研资助项目(18A413013,19A630034),河南省科技攻关研究计划(182102210456)

Research on fluid dynamics simulation of welding pool based on SPH method

Xie Benkai^1,4, Zhou Qiang², Li Qin³, Lin Ruijun¹

1. College of Logistics, Zhengzhou University of Aeronautics, Zhengzhou 450046, China;
2. Logistics Engineering College, Wuhan University of Technology, Wuhan 430070, China;
3. College of Information Science, Zhengzhou University of Aeronautics, Zhengzhou 450046, China;
4. Collaborative Innovation Center for Aviation Economy Development, Zhengzhou 450000, China

Received:2018-05-24 Revised:2018-11-21 Published:2019-12-12

摘要/Abstract

摘要： 在虚拟焊接训练设备的开发中,焊缝成形的实时交互仿真是其开发的关键技术。本文研究了现阶段的焊缝成形仿真方法,针对二氧化碳气体保护焊焊缝成形仿真过程中的计算时间长及无流体运动感等问题,提出了一种基于光滑粒子流体动力学法的焊缝成形仿真方法。该方法中包含有温度场计算,可计算流体离散化后粒子的温度,并根据流体粒子的温度对粒子的更新步长进行修改,可实现流体粒子从运动状态至静止状态的转化,从而模拟出焊接过程中熔池凝固的过程。

关键词: 光滑粒子流体动力学, 焊缝成形, 熔池凝固, 计算流体力学仿真, 有限差分法

Abstract: In the development of virtual welding training equipment, real-time interactive simulation of weld forming is the key technology. The current simulation method of weld formation is studied in this pape..For the problem of long time computation and no sense of fluid motion in weld simulation process, a simulation method of weld forming simulation based on smooth particle hydrodynamics is proposed. This method includes the calculation of temperature field which can calculate the fluid particle temperature and modify the updating step of fluid particles according to the temperature of fluid particles. This can realize the transformation of fluid particles from moving state to stationary state, and simulate the process of solidification of molten pool in welding process.

Key words: smoothed particle hydrodynamics, weld forming solidification, molten pool, computational fluid dynamics simulation, finite difference method

中图分类号:

TP391.9

谢本凯, 周强, 李琴, 林睿浚. 基于SPH方法的焊接熔池流体动力学仿真研究[J]. 系统仿真学报, 2019, 31(8): 1711-1718.

Xie Benkai, Zhou Qiang, Li Qin, Lin Ruijun. Research on fluid dynamics simulation of welding pool based on SPH method[J]. Journal of System Simulation, 2019, 31(8): 1711-1718.

参考文献

[1] Steven A W, Mores P, Terrence L C, et al.Low-cost simulated MIG welding for advancement in technical training[J]. Virtual Reality (S1359-4338), 2011, 15(1): 69-81.
[2] Yang U Y, Lee G A, Kim Y W, et al.Virtual Reality Based Welding Training Simulator with 3D Multimodal Interaction[C]. 2010 International Conference on Cyberworlds, Singapore, 2010: 150-154.
[3] Billy Kowk-Hung Chan. Predicting weld features using artificial neural network technology[D]. Ottawa: Carleton University, 1996.
[4] 张明贤, 武传松, 李克海, 等. 基于有限元分析对新型DE-GMAW焊缝尺寸预测[J]. 焊接学报, 2007, 28(2): 33-37.
Zhang Mingxian, Wu Chuansong, Li Kehai, et al.FEA based prediction of weld dimension in new DE-GMAW process[J]. Transactions of the China Welding Institution. 2007, 28(2): 33-37.
[5] Wei Huang, Radovan Kovacevic.A neural network and multiple regression method for the characterization of the depth of weld penetration in laser welding based on acoustic signatures[J]. Journal of Intelligent Manufacturing (S0956-5515), 2011, 22(2): 131-143.
[6] Terrence L Chambers, Amit Aglawe, Dirk Reiners, et al.Real-time simulation for a virtual reality-based MIG welding training system[J]. Virtual Reality (S1359-4338) 2012, 16(1): 45-55.
[7] Liu G R, Liu M B.光滑粒子流体动力学-一种无网格粒子法[M]. 韩旭, 杨刚, 强洪夫译. 长沙: 湖南大学出版社, 2005.
Liu G R, Liu M B.Smoothed particle hydrodynamics: amesh free particle method[M]. Translated by Han Xu, Yang Gang, Qiang Hongfu. Changsha: Hunan University Press, 2005.
[8] 董志波, 魏艳红, 刘仁培, 等. 不锈钢焊接温度场的三维数值模拟[J]. 焊接学报, 2004, 25(2): 9-14.
Dong Zhibo, Wei Yanhong, Liu Renpei, et al.Three dimensional simulation of thermal distributions of welding statinless steels[J]. Transactions of the China Welding Institution. 2004, 25(2): 9-14.
[9] Iida T, Guthrie R.液态金属的物理性能[M]. 北京: 科学出版社, 2005: 178-181.
Iida T, Guthrie R.The physical properties of liquid metals[M]. Beijing: Science Press, 2005: 178-181.
[10] 李伯虎, 柴旭东, 张霖, 等. 面向新型人工智能系统的建模与仿真技术初步研究[J]. 系统仿真学报, 2017, 29(2): 349-362.
Li Bohu, Chai Xudong, Zhang Lin, et al.Preliminary Study of Modeling and Simulation Technology Oriented to Neo-tyoe Artificial Intelligent Systems[J]. Journal of System Simulation, 2017, 29(2): 349-362.
[11] 高国雪, 高辉, 焦向东, 等. 基于Unity3D的焊接机器人虚拟现实仿真技术研究[J]. 组合机床与自动化加工技术, 2018(3): 19-22.
Gao Guoxue, Gao Hui, Jiao Xiangdong, et al.Study on Virtual Reality Simulation Technology of Welding Robot Based on the Unity 3D[J]. Modular Machine Tool & Automatic Manufacturing Technique, 2018(3): 19-22.
[12] 姚玉辉, 张建勋. HTS焊接模拟培训系统的现状与发展[J]. 电焊机, 2011, 41: 52-55.
Yao Yuhui, Zhang Jianxun.Introduction of the virtual welding training system (HTS)[J]. Electric Welding Machine, 2011, 41: 52-55.
[13] Stone R T, Watts K P, Peihan Z, et al.Physical and Cognitive Effects of Virtual Reality Integrated Training[J]. Human Factors (S0018-7208), 2011, 53(5): 558-572.
[14] 陈翠欣, 李午申, 王庆鹏, 等. 焊接温度场的三维动态有限元模拟[J]. 天津大学学报, 2005, 38(5): 466-470.
Chen Cuixin, Li Wushen, Wang Qingpeng, et al.Three-Dmiensional Dynamic FEM Smiulation of Temperature Distribution for Welding Process[J]. Journal of Tianjin University, 2005, 38(5): 466-470.
[15] 赵玉珍. 焊接熔池的流体动力学行为及凝固组织模拟[D]. 北京: 北京工业大学, 2004.
Zhao Yuzhen.Simulation of fluid dynamics behavior and solidified structure in welding pool[D]. Beijing: Beijing University of Technology, 2004.

基于SPH方法的焊接熔池流体动力学仿真研究

Research on fluid dynamics simulation of welding pool based on SPH method

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