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A thermographic visual inspection system for crack detection in metal parts exploiting a robotic workcell

机译:利用机器人工作单元检测金属零件裂纹的热成像视觉检测系统

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摘要

Cracks are the main source of failure in the production of metal parts: systems for checking their presence are therefore crucial for defect-free production. In this paper, an autonomous system for performing this quality control is presented. The system is equipped with a heating tool, a thermocamera, and a robot to handle the part. The inspection process is based on the observation of the propagation of thermal waves through the inspected part, a method that can highlight very small cracks with high reliability. A knowledge-based approach to visual inspection is exploited for detecting the cracks: all the system parameters are known by means of an accurate calibration of the workcell. The system was tested on a large dataset and demonstrated its capability of detecting tiny production defects, that can lead to dangerous failures when the metal components are put under strong mechanical stress. (C) 2015 Elsevier B.V. All rights reserved.
机译:裂纹是金属零件生产失败的主要根源:因此检查其存在的系统对于无缺陷生产至关重要。在本文中,提出了用于执行此质量控制的自治系统。该系统配备了加热工具,热像仪和用于处理零件的机器人。检验过程基于对热波在被检验零件中传播的观察,该方法可以高可靠性地突出非常小的裂缝。利用基于知识的视觉检查方法来检测裂纹:通过对工作单元进行精确校准,可以知道所有系统参数。该系统已在一个大型数据集上进行了测试,并证明了其检测微小生产缺陷的能力,当金属部件受到强烈的机械应力时,这些缺陷可能导致危险的故障。 (C)2015 Elsevier B.V.保留所有权利。

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