Poster + Presentation + Paper
30 May 2022 Optical image inspection of helical surface geometry of drill
Author Affiliations +
Conference Poster
Abstract
In this paper, a new method for determining the curvature of the drill's rake surface is developed. The new method is based on the identified functional relationships between the focus area in the image and the shape of drill’s rake surface. The revealed relationships allow for the determination of the curvature of the front surface of the drill, which can be used to determine the geometric parameters of the chip flute. The method is based on the analysis of images obtained in the process of measurement by a camera in reflected light. To implement the developed method, the drill was fixed in a collet chuck on a NC measuring machine, the camera is pointed at the front surface area, and a series of images with different focal lengths was taken. After processing the images obtained in reflected light, the shape of the rake surface of the drill in the radial section was determined. The accuracy of the proposed method is proved by comparison with the data obtained from the measuring machine
Conference Presentation
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Petr M. Pivkin, Vladimir A. Grechishnikov, Artem A. Ershov, Ilya V. Minin, Alexsander A. Zelensky, and Alexsey B. Nadykto "Optical image inspection of helical surface geometry of drill", Proc. SPIE 12091, Image Sensing Technologies: Materials, Devices, Systems, and Applications IX, 120910G (30 May 2022); https://doi.org/10.1117/12.2622991
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KEYWORDS
Image processing

Cameras

Algorithm development

Metals

Imaging systems

Cutting equipment

Micro cutting

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