Reliable tool wear monitoring by optimized image and illumination control in machine vision
Reliable tool wear monitoring by optimized image and illumination control in machine vision
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DOI：
10.1016/s0263-2241(00)00014-2
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发表时间：
2000-10-01
期刊：
影响因子：
5.6
通讯作者：
Wiegers, L
中科院分区：
文献类型：
--
作者：
Pfeifer, T;Wiegers, L
刀具磨损自动监测系统有助于采取措施大幅降低制造成本。然而，到目前为止，只有少数几个刀具磨损监测原理被应用到工业实践中。这些大多是基于声发射、力测量等的间接测量技术。本文讨论了机器视觉作为一种直接测量技术的诸多优点。过去的研究已经从原理上证明了这项技术的可行性，但在某种程度上，这种测量系统的集成仍然存在问题，以便满足进一步的工业需求。这些要求包括测量结果的质量、接近机床的集成、刀具处理和先进的自适应照明技术，以获得优化的相机图像，即使是不同类型的刀具也是如此。(C)2000爱思唯尔科学有限公司。保留所有权利。
Systems for automatic tool wear monitoring contribute to measures to reduce manufacturing costs considerably. However, only a few tool wear monitoring principles have found their way into industrial practice yet. Mostly, these are indirect measurement techniques based e.g. on accoustic emission, force measurement etc. This paper discusses the many advantages of machine vision as an direct measurement technique. Research in the past has proved the feasibility of this technique in principle, but there still remain problems with the integration of such measurement systems in a way, so that they meet further industrial requirements. These are requirements like quality of measurement results, integration close to the machine, tool handling and advanced techniques of adaptive illumination for obtaining optimized camera images even for varying types of cutting tools. (C) 2000 Elsevier Science Ltd. All rights reserved.