A new method for monitoring grinding processes using accelerometers

Pivkin, Petr M.; Kozochkin, Michail P.; Minin, Ilya V.; Allenov, Dmitry Gennadievich; Kopylov, V.V.; Nadykto, Alexey B.; Grigoriev, S. N.

doi:10.1117/12.2622919

Cited by 8 publications

(9 citation statements)

References 91 publications

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“…The surfaces of the tool can be processed using different methods. The most common method is grinding [17,18], but sometimes methods of electrical discharche machining [19,20], laser ablation [21], etching [22], etc. are used.…”

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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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

Self Cite

View full text Add to dashboard Cite

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“…Abrasive machining has been the main method for finishing machine parts [1]. The manufacture of cutting tools [2][3][4][5][6] and grinding of helical grooves [7] from modern tool materials is critically important for the production of high quality parts. Active depth grinding technology is one of the most efficient ways to manufacture tool structures and machine parts from hard and brittle materials with high surface quality and dimensional accuracy [8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Identification of new indicators for recognition of cutting grains and wear of the grinding wheel based on image recogntion

Pivkin¹,

Ershov²,

Grechisnikov³

et al. 2022

Optical Metrology and Inspection for Industrial Applications IX

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In this paper, a set of indicators for an effective assessment of the cutting ability of a grinding wheel was established based on the detection of the degree of filling and immersion of abrasive edges. It has been pointed out that a profile of a populated circle has a direct correlation with the average number of recognized faces. A new indicators for measuring zones with active edges and their distribution on the surface of a grinding wheel was developed, which can be identified by the models algorithms, is formed

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“…The development of technologies in machine-building and machinetool production implies the optimization of technologies for the use of a grinding wheel with cutting to the full active depth, determined by the type of abrasive, dispersion, distribution of working edges along the wheel body [6][7][8][9]. To date, advanced modeling methods [10][11][12][13] and experimental methods [14,15] are being actively developed to the mechanism of chip formation during machining. In the case of the grinding process, the study of the mechanism of cutting with abrasive grains is quite difficult due to the random nature of the distribution of abrasive grains and their actual number on the cutting surface [16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

“…In the case of the grinding process, the study of the mechanism of cutting with abrasive grains is quite difficult due to the random nature of the distribution of abrasive grains and their actual number on the cutting surface [16][17][18][19][20]. Scientists study the ideal cutting mechanisms under the conditions of cutting with a single grain [21], however, under production conditions, these models can give unpredictable results due to the presence of many random factors: errors in the wheel misalignment in the mandrel, wear by the boundary [14,22], clogging of the wheel [23], etc. When grinding, the sequential movement of individual grains associated with micron depth of cut, however, is also important.…”

Section: Introductionmentioning

confidence: 99%

A new approach of modeling micromachining parts with a shaped generatrix by image processing of tool's cutting surface

Pivkin¹,

Ershov²,

Гречишников³

et al. 2022

Optical Metrology and Inspection for Industrial Applications IX

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A method for microprocessing products with a shaped generatrix by remote the product from the image is proposed, which provides an increase in productivity without loss of quality. The method allows you to recreate an object based on image reconstruction with basic accuracy requirements and establish a rational trajectory of the turning tool on CNC machines. The method is implemented as follows: a cylindrical workpiece is fixed in the machine spindle, the plate is installed in the turning body cutter, a preliminary positioning of the cutter is performed and its fixation in the working area of the machine with a special trajectory of movement obtained on the basis of the recognized profile of the product during reverse engineering. As a result, the new method allows increasing the productivity of the treated surface up to 2 times, depending on the shape and accuracy of the object being reconstructed.

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A new method for monitoring grinding processes using accelerometers

Cited by 8 publications

References 91 publications

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

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

Identification of new indicators for recognition of cutting grains and wear of the grinding wheel based on image recogntion

A new approach of modeling micromachining parts with a shaped generatrix by image processing of tool's cutting surface

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