汽车左侧围内板后部总成焊接工作台数字孪生系统及实验

文章摘要

汽车左侧围内板后部总成焊接工作台数字孪生系统及实验

Digital Twin System and Experiment of Welding Table Welding Table for Rear Assembly of the Left Side of the Inner Plate of the Car

投稿时间：2023-08-30 修订日期：2023-08-30

DOI：

中文关键词: 数字孪生焊接机器人 TCP通信 BP神经网络

英文关键词: digital twin welding robot TCP communication BP neural network

基金项目:安徽省高校优秀青年骨干人才国内外访学研修项目(gxgwfx2020055)；安徽工程大学校级科研项目(Xjky2020006)；安徽工程大学-鸠江区产业协同创新专项(2021cyxtb10)；安徽高校自然科学研究重点(KJ2021A0489)杨怀安(1995-),安徽淮北,男,研究生,研究方向：机械设计,数字孪生,深度学习。 , 钟相强1^,范敬松¹

作者	单位	邮编
杨怀安^*	安徽工程大学机械工程学院	241000
钟相强	安徽工程大学机械工程学院	241000
范敬松	安徽工程大学机械工程学院	241000

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中文摘要:

为研究焊接工作台数字孪生系统,针对汽车左侧围内板后部总成连接件设计了焊接机器人工作台；基于Visual Components搭建了焊接机器人、焊钳和焊装夹具的数字孪生体；通过Python脚本开发了TCP协议进行通信,完成了数字孪生系统的虚实联动；通过正交实验获得焊接参数数据集,基于BP神经网络构建了焊接质量预测模型,准确率达到94.81%。结果表明在物理端进行焊接作业时,数字孪生系统中的数字孪生体可与其行为一致,实现两者的虚实联动,通过神经网络可实现焊接质量预测能力。研究成果为数字孪生技术在焊接领域的应用提供参考。

英文摘要:

To study the digital twin system of welding workbench, a welding robot workbench was designed for the rear assembly connecting piece of the left side panel of the car. Based on Visual Components, a digital twin of welding robot, welding tongs, and welding fixture was built; Developed TCP protocol communication through Python scripts, completing the virtual-reality linkage of the digital twin system; A dataset of welding parameters was obtained through orthogonal experiments, and a prediction model for welding quality was constructed based on BP neural networks, achieving an accuracy rate of 94. 81 %. The results indicate that when conducting welding operations at the physical end, the digital twin in the digital twin system can act in concert with its virtual counterpart, enabling virtual-to-real linkage between the two, and through neural networks, achieving welding quality prediction capabilities. The research results provide a reference for the application of digital twin technology in the welding field.

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