Numerical calculation of grinding wheel wear for spiral groove grinding

Liu, Xianli; Wang, Shipeng; Yue, Caixu; Xu, Min; Chen, Zhan; Zhou, Jiaqi; Liang, Steven Y.

doi:10.1007/s00170-021-08617-8

Cited by 6 publications

(3 citation statements)

References 15 publications

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“…Xue [102,103] 等人采用基于深度学习的机器视觉检测方法, 实现了对金刚石砂轮磨削质量的在机检测. Liu [104] 等采用图像处理技术提取砂轮轮廓坐标并进行拟合进而获得砂轮磨损量.…”

Section: F O R R E V I E W O N L Yunclassified

Research on grinding wheel wear measurement methods: Current status and future perspectives

LI,

BAO,

WANG

et al. 2024

Sci. Sin.-Tech.

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Section: F O R R E V I E W O N L Yunclassified

Research on grinding wheel wear measurement methods: Current status and future perspectives

LI,

BAO,

WANG

et al. 2024

Sci. Sin.-Tech.

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“…Because of this, it is necessary to change the parameters each time according to the problem encountered, which makes it difficult to adapt to cutting tool geometry learning applications. The helical surfaces of cutting tools have a complex shaped profile with a concave section, which ensures the sharpening of the cutting wedge when cutting into the material being processed [79][80][81][82].…”

Section: Introductionmentioning

confidence: 99%

An approach for recognizing surface defects in products with a complex helical shape

Pivkin,

Yazev,

Grechishnikov

et al. 2023

Optoelectronic Imaging and Multimedia Technology X

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A key functional role is served by the helical surfaces of carbide end mills that can be manufactured during diamond grinding wheel. Localized changes in the form of the helical surface can be caused by abrasion, high pressure, and grinding wheel wear. Therefore, it is extremely important to measure the physical samples of products with a helical surface according to the criterion of profile accuracy, rake angle and core diameter. A specialized inspection machine in reflected light can be used to obtain images across the helical groove. Manually extracting a number of defects from photos takes time. Using defect recognition algorithms, effective and quick quality control of a ground helical surface can be established. As a result, effective surface quality control can be achieved in the machine tool industry. In this study, an innovative approach to determine a defect's shape and location as well as an algorithm for removing it are presented. Both of these approaches are integrated into the technological process used to manufacture products with helical surfaces. With the goal to recognized create suggestions for image analysis using different image levels, the suggested approach provides logically smoothing histograms and limiting contrast as an image pre-processing, based on an analysis of images with useful and faulty parts. Achieved successful extraction of areas of adhesive, diffusion, abrasion and chips from the image through post-processing. The article presents a new approach to recognizing adhesive and diffusion defects on the helical surface of a mill after grinding. When developing this approach, it was revealed that areas with alternating profile changes are most susceptible to the formation of defects under conditions of increased heating of the working area, and specialized inductors for searching for defects in localized areas according to the criterion of pixel brightness intensity were proposed.

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“…The helical surfaces of cutting tools have a complex shaped profile with a concave section, which ensures the of the cutting wedge when cutting into the material being processed [76][77][78][79][80]. Therefore, to find a rational direction for capturing images with a camera, it is important to use the layout of a measuring machine with controlled rotation and movement of the cutting tool relative to the camera.…”

Section: Introductionmentioning

confidence: 99%

New indicators and standards for measuring of the end mill's helical groove by image processing

Pivkin,

Ershov,

Grechishnikov

et al. 2023

Optical Metrology and Inspection for Industrial Applications X

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The studies will be carried out using optical metrology methods on a Walter Helicheck inspection machine in reflected light and a number of images were stored to form a statistical sample. Established new indicators and criteria for grinding efficiency based on image processing of the helical groove of the end mill. As a result, recommendations for the selection of optical control techniques were made for the first time at the intermediate stage of technological preparation for production, in real time, and after processing. In this work, for the first time, we prove the possibility of determining the camera displacement pith distance during continuous scanning of the profile of a helical surface in a radial section, the measurement accuracy and recreating a three-dimensional model of the object. As a result of the work of the new algorithm using the Haar-wavelet with new indicators, it was established that the actual one is located inside the focal zone, which proves the possibility of applied application of the method of monitoring the shape of helical flute of end mills using computer vision. The measurement accuracy of the helical flute increased from 4 to 12% along its profile.

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Numerical calculation of grinding wheel wear for spiral groove grinding

Cited by 6 publications

References 15 publications

Research on grinding wheel wear measurement methods: Current status and future perspectives

Research on grinding wheel wear measurement methods: Current status and future perspectives

An approach for recognizing surface defects in products with a complex helical shape

New indicators and standards for measuring of the end mill's helical groove by image processing

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