Image processing of advance milling cutters to automate the measurement of the geometric parameters of the cutting edge on optical measuring systems

Pivkin, Petr M.; Minin, Ilya V.; Волосова, М. А.; Romanov, V. B.; Nadykto, Alexey B.

doi:10.1117/12.2605754

Cited by 8 publications

(5 citation statements)

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“…Determining thefocal plane involves selecting an image of the area [42][43][44]. To simplify the search for focal plane, binarization methods are used [45], which make it possible to determine the boundaries between different objects and planes in the image. The use of image clustering methods provides grouping of materials based on their similarity to identify surfaces applied at equal distances on the cutting part [46][47].…”

Section: Introductionmentioning

confidence: 99%

“…Advanced image capture capabilities based on complementary metal-oxide-semiconductor (CMOS) image sensors. Control of the shape of the helical flute is complicated by the variable curvature of the front panel of the end mill for high speed machining [73,74], the difficulty of lighting, the error in determining the focus settings in the hard-to-reach area of the helical flute [75][76][77], technological features of operation [78], the level of development of measuring instruments of the machine when an error occurs.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Introductionmentioning

confidence: 99%

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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“…Automatic measurement of helical flutes of end mills by computer vision using an optical machine is a current research issue. The most important techniques for image measurement in solving engineering problems are divided into the determination of focal zones and have been studied by image processing methods, such as binarization and edge detection algorithms [44][45][46], image clustering [47][48][49][50] or the above-mentioned methods of growing regions for segmentation [51,52].…”

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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“…*PMPivkin@gmail.com; en.stankin.ru One of the main problems is that there are critical sequences of motions and the search for the focal zone does not lead to a unique solution [24][25][26][27][28][29][30]. In this paper, a rational approach is proposed that excludes repeated self-intersections of the focal zones and, as a result, loss of accuracy.…”

Section: Introductionmentioning

confidence: 99%

New image processing algorithm to recognition of the profile of micro-mills

Pivkin¹,

Ershov²,

Nadykto³

2022

Optical Metrology and Inspection for Industrial Applications IX

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The geometric parameters of the flute profile of micro-mills have a great influence on both the strength characteristics of the tool and the cutting process. This explains the need for high-precision control of the shape of the flute profile. In modern CNC controlling and measuring machines, a non-contact measurement technique is implemented using high precision reflected light cameras operating based on the principle of contrast autofocus. The existing methods of recognition of the flute profile have large errors associated with the low efficiency of the contrast focusing method in the case of control of a section of several subsections. The proposed recognition algorithm is based on the search for local focus points obtained as a result of the analysis of images from the reflected light camera. This method is shown to provide high accuracy control of the flute profile of micro-mills.

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Image processing of advance milling cutters to automate the measurement of the geometric parameters of the cutting edge on optical measuring systems

Cited by 8 publications

References 0 publications

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

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

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

New image processing algorithm to recognition of the profile of micro-mills

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