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A knowledge-based multipass welding distortion estimation method for a multi-robot welding off-line programming and simulation software

机译:一种基于知识的多级焊接失真估计,用于多机器人焊接离线编程和仿真软件

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The current robotic welding off-line programming software packages do not consider the effect of welding distortions although the welding distortions are well-known phenomena. Due to the distortions, off-line programmed robot programs will have inaccuracies in robot positions. The purpose of this study is to develop a method for estimating the welding distortions during the jigless multi-robot welding production using a robot welding off-line programming software as a simulation environment. The applied methodology is to measure distortions of welded S700 workpieces with laser scanner and by manual measurement, and create knowledge-based welding distortion estimation method in the simulation software. The results of this study indicate that the distortion in welded workpiece can be measured with laser scanner or manually and during simulation the robot was able to edit its position according to the measured estimation. Laser scanning was found to be preferred measuring method as the data can be collected digitally.
机译:当前机器人焊接离线编程软件包不考虑焊接失真的影响,尽管焊接扭曲是众所周知的现象。由于扭曲,离线编程机器人程序将在机器人位置具有不准确的差异。本研究的目的是开发一种方法,用于使用机器人焊接离线编程软件作为仿真环境来开发一种用于估计凹形多机器人焊接生产的焊接失真。应用方法是测量带有激光扫描仪的焊接S700工件的扭曲,并通过手动测量,并在仿真软件中创建基于知识的焊接失真估计方法。该研究的结果表明,焊接工件中的变形可以用激光扫描仪测量,或者手动测量,在仿真期间,机器人能够根据测量的估计来编辑其位置。发现激光扫描是优选的测量方法,因为数据可以以数字方式收集。

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