Towards the development of a deposition technology for an automated rail repair system

D. Becker, J. Dobrzanski, M. Goh, L. Justham
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Abstract

—The work presented in this paper explored the use of a laser line scanner to generate robotic deposition paths for the repair portion of an automated rail repair system. Currently surface defects cost the UK around £4 million per annum [1] , with little traceability being available throughout the repair process. This paper proposes a robotic repair system primarily focussed on the development of the deposition system. The deposition system utilised two different deposition strategies, the first extracted the weld prep from the point cloud to generate the deposition paths for the robot and the second measured the height of the previously deposited material and adjusted the generated path. This paper focusses on the use of the two algorithms and the testing completed on a representative geometry, utilising a caulking gun as a reusable material replacement for the additive welding system.
钢轨自动维修系统的沉积技术研究
-本文介绍的工作探讨了使用激光线扫描仪为自动轨道修复系统的修复部分生成机器人沉积路径。目前,英国每年因表面缺陷造成的损失约为400万英镑,而且在整个修复过程中几乎没有可追溯性。本文提出了一种机器人修复系统,主要关注沉积系统的开发。沉积系统采用了两种不同的沉积策略,第一种是从点云中提取焊缝准备物,为机器人生成沉积路径,第二种是测量先前沉积材料的高度,并调整生成的路径。本文重点介绍了这两种算法的使用以及在代表性几何上完成的测试,利用填缝枪作为可重复使用的材料替代添加剂焊接系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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