Wear and Breakage Detection of Integral Spiral End Milling Cutters Based on Machine Vision

Wei, Wenming; Yin, Jie; Zhang, Jun; Zhang, Huijie; Lu, Zhuangzhuang

doi:10.3390/ma14195690

Cited by 12 publications

(2 citation statements)

References 49 publications

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“…Zhou and Yu 7 proposed a machine vision-based machining tool wear measurement system, which realized the online measurement of machining tool wear through image segmentation, edge detection, image registration and principle curve method. Wei et al 8 developed an image acquisition system and image processing method for wear and breakage detection of milling cutters based on machine vision, which consisted of three light sources and two cameras mounted on a moving frame, and utilized Ostu thresholding method and the Markov Random Field image segmentation method to extract images of failure regions. Deng et al 9 proposed a visual detection method for tool wear based on adaptive region growth.…”

Section: Literature Reviewmentioning

confidence: 99%

Extraction and expression of deformation features for wear images from four-ball friction test: For classification purpose

Xiao

Liu

Zhang

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part J:

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The shape characteristics of wear spot in the four-ball wear test are often qualitatively identified by human testers based on experience, which are subjective, unquantifiable and biased. This paper proposes an automated method for extracting and expressing the shape features, which is effective for the deformed classification of the wear images. First, the wear spot is segmented from the background, and the geometric parameters of the wear spot are extracted. Based on this, the optimal standard wear spot which match the segmented (or actual) wear spot best is constructed. The established feature variables (i.e. abnormality rate and eccentricity rate) are used to quantitatively assess the deformation degree of segmented wear spot, by comparing the segmented wear spot with the constructed standard wear spot. Finally, Kmeans clustering algorithm is used to verify the validity of deformation features in the classification application. Simulation test results show that feature variables are valuable for identifying the deformation of wear images, and three effect evaluation indicators (CH/SI/DB) shows that the classification effect of the wear images is better.

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Section: Literature Reviewmentioning

confidence: 99%

Extraction and expression of deformation features for wear images from four-ball friction test: For classification purpose

Xiao

Liu

Zhang

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part J:

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“…There are methods of contact measurements of end mills, which are closed in a constant coordinate of nodal points on the profile with a probe and data processing to control the main geometric parameters [30,31]. However, this method is complex and introduces a number of difficulties when directly monitoring the edge area and the valley section of the helical surface profile [32,33], which is especially important for high-speed processing with small cut layers, and the chip formation zone is crucial for minimizing failures [34][35][36].…”

Section: Introductionmentioning

confidence: 99%

A new method and practical recommendations for measuring geometric accuracy, linear and angular measurements of helical surfaces of end mill for HSM

Pivkin,

Yazev,

Ershov

et al. 2024

Optics, Photonics, and Digital Technologies for Imaging Applications VIII

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In precision engineering, helical surfaces on critical parts of equipment have become widespread. The article proposes an new method and practical recommendations for measuring geometric accuracy, linear and angular measurements, and studying the characteristics of helical surfaces and specialized equipment for monitoring the accuracy of helical surfaces. The uniqueness of the approach lies in the formation of key indicators of classification and filtering of a set of specialized measurement techniques based on scanning and digital image processing. A new method is proposed that makes it possible to adjust the measurement of the coordinates of the profile points of the helical surface in the radial section according to the shape of the focal area on the helical surface obtained by a reflected light camera. The work established new indicators of the effectiveness of tool control for high-speed multi-axis milling based on recommendations for the selection of methods and means of monitoring and control at the stage of technological preparation of production in real time. Criteria and indicators have been formed to eliminate errors at any stage in the process of digital control of images of the helical surface of a cutting tool for high-speed machining. The method consists in determining the law of preserving the shape of the profile, its further rotation and comparison with the original control profile by identifying a new relationship between the focal length and the profiling shape. The shape of the profiling curve is described depending on the angle of inclination of the helical flute, diameter, segmentation of the image in the focal zone and the magnitude of the error when measuring the profile in real time relative to the base profile. In this regard, the work justifies the practical adaptation of the search results for key measurement schemes in comparison with other existing methods for helical surfaces with an rake angle of the tangent to the profile in the axial section. The new level of production creates greater demand for product quality efficiency in a unified digital environment. As an advanced solution, the work proposes a method for compensating for errors in the shape of the focus area. This method allows you to compensate for the error in real time without stopping for readjustment. More accurate results allowed for an increase in accuracy up to 10 times compared to existing methods.

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Online Monitoring Method of Municipal Water Supply and Drainage Pipeline Based on Machine Vision

Sun,

2024

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Wear and Breakage Detection of Integral Spiral End Milling Cutters Based on Machine Vision

Cited by 12 publications

References 49 publications

Extraction and expression of deformation features for wear images from four-ball friction test: For classification purpose

Extraction and expression of deformation features for wear images from four-ball friction test: For classification purpose

A new method and practical recommendations for measuring geometric accuracy, linear and angular measurements of helical surfaces of end mill for HSM

Online Monitoring Method of Municipal Water Supply and Drainage Pipeline Based on Machine Vision

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