钻头磨损估计的计算成像

S. D. Iacono, G. D. Leo, C. Liguori
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引用次数: 1

摘要

航空航天和汽车工业越来越多地使用碳纤维层压板。它们在机械性能方面具有很高的优势,但很难加工,需要精确和昂贵的工具。钻井是最常见的作业;钻头在使用前必须进行准确校验,以免在使用过程中损坏。提出了一种基于定制照明装置的钻头磨损光学检测系统和基于计算成像的处理算法。利用计算图像的细化来测量钻头的切削轮廓。在碳纤维层压板上进行了钻头磨损试验,并利用该系统提取了刀具磨损模型。所提出的方法已在航空航天工业中使用的旧钻头和新钻头上进行了测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computational imaging for drill bit wear estimation
Aerospace and automotive industries make more and more use of carbon fiber laminates. They offer high advantages in terms of mechanical performance but are difficult to work on and need precise and expensive tools. Drilling is the most common operation; drill bits must be accurately verified before use to avoid damages during the process. This paper proposes an optical inspection system for drill bits wearing estimation based on a custom-designed illumination device and a processing algorithm based on computational imaging. The elaboration of the computational image is used to measure the drill bit cutting profile. Drill bits have been worn on carbon fiber laminates, and a tool wear model has been extracted using the proposed system. The proposed method has been tested on both used and new drill bits, used in the aerospace industry.
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