An intelligent wheel position searching algorithm for cutting tool grooves with diverse machining precision requirements

Li, Guochao; Zhou, Honggen; Jing, Xuwen; Tian, Guizhong; Li, Lei

doi:10.1016/j.ijmachtools.2017.07.003

Cited by 31 publications

(6 citation statements)

References 22 publications

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“…After testing the three algorithms, obtained the result that Boyer Moore's algorithm has an overall n total of 11n, with the amount of n 2 as much as 26n 2 . The algorithm of Knuth Morris Pratt algorithm has an overall n of 8n and an amount of n 2 as much as 20n 2 , and the Horspool algorithm has a value of n as much as 10n and value of n 2 as much as 20n 2 .…”

Section: Results and Analysismentioning

confidence: 99%

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Comparison of search algorithms in Javanese-Indonesian dictionary application

et al. 2020

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This study aims to compare the performance of Boyer-Moore, Knuth morris pratt, and Horspool algorithms in searching for the meaning of words in the Java-Indonesian dictionary search application in terms of accuracy and processing time. Performance Testing is used to test the performance of algorithm implementations in applications. The test results show that the Boyer Moore and Knuth Morris Pratt algorithms have an accuracy rate of 100%, and the Horspool algorithm 85.3%. While the processing time, Knuth Morris Pratt algorithm has the highest average speed level of 25ms, Horspool 39.9 ms, while the average speed of the Boyer Moore algorithm is 44.2 ms. While the complexity test results, the Boyer Moore algorithm has an overall number of n 26n 2 , Knuth Morris Pratt and Horspool 20n 2 each.

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Section: Results and Analysismentioning

confidence: 99%

“…Search algorithm is one of the fundamental research studies in computer science [1][2][3][4][5][6][7][8], including its use in dictionaries. A dictionary is a tool used by someone to learn languages, both international, national, and regional languages.…”

Section: Introductionmentioning

confidence: 99%

Comparison of search algorithms in Javanese-Indonesian dictionary application

et al. 2020

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“…Ren et al [13] created a system of nonlinear equations to calculate the wheel position, and the wheel position can be calculated accurately to ensure the accuracy of the groove parameters: rake angle, core radius and flute width. Karpuschewski et al [14] and Li et al [15] built the objective function with machine errors and successfully searched the wheel position using intelligent algorithms, such as PSO and NPSO. Habibi et al [16] calculated the established constraint equations by using Newton iteration algorithm to improve the speed and reliability of the calculation.…”

Section: Introductionmentioning

confidence: 99%

Big data-oriented wheel position and geometry calculation for cutting tool groove manufacturing based on AI algorithms

Liu

Lu³

et al. 2022

Int J Adv Manuf Technol

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Groove is a key structure of high-performance integral cutting tools. It has to be manufactured by 5-axis grinding machine due to its complex spatial geometry and hard materials. The crucial manufacturing parameters (CMP) are grinding wheel positions and geometries. However, it is a challenging problem to solve the CMP for the designed groove. The traditional trial-and-error or analytical methods have defects such as time-consuming, limited-applying and low accuracy. In this study, the problem is translated into a multiple output regression model of groove manufacture (MORGM) based on the big data technology and AI algorithms. The input are 34 groove geometry features and the output are 5 CMP. Firstly, two groove machining big data sets with different range are established, each of which is includes 46656 records. They are used as data resource for MORGM. Secondly, 7 AI algorithms, including linear regression, k nearest-neighbor regression, decision trees, random forest regression, support vector regression and ANN algorithms are discussed to build the model. Then, 28 experiments are carried out to test the big data set and algorithms. Finally, the best MORGM is built by ANN algorithm and the big data set with a larger range. The results show that CMP can be calculated accurately and conveniently by the built MORGM.

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“…in a single operation with several grinding wheels of various shapes [17][18][19][20][21][22][23]. In the general, the flute surface shape of tools manufactured on the CNC tool grinding machines depends on grinding wheel shape and size, tool parameters and relative position of the tool and of the grinding wheel [24][25][26][27][28][29][30][31]. Its alteration makes it possible to produce a tool with the flute shape, as close as possible to required.…”

Section: Introductionmentioning

confidence: 99%

Technological preparation of thread milling cutter production at the design stage

Malkov

Pavlyuchenkov

2022

Preprint

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This research was performed on the technological feasibility of manufacturing the multiple thread milling cutter flutes based on their mathematical and experimental simulation and studying possibility of manufacturing a prototype thread milling cutter with use of grinding wheels of typical profiles. System of mathematical expressions was developed to determine the flute end section profile produced by a grinding wheel and taking into account kinematic scheme of the multi-axis CNC tool grinding machines using the Walter Basic kinematic scheme as an example. Proposed mathematical expressions were approved by experimental studies when machining helical flutes on caprolon workpieces with a diameter of 34.5 mm with use of a universal grinding machine. Flute profiles comparison in the end section (experimental and calculated) showed their satisfactory convergence; the errors (up to 0.42 mm) could be explained by inaccuracy in grinding wheel installation, workpiece yielding, error in the experiment parameters settings and increasing discrepancy in the error measurement direction to the core diameter. To study technological feasibility of the thread milling cutter flutes manufacturing, the CoroMill Plura R217.15-140100AC26N thread milling cutter was choosed as a prototype. End section of the tool was obtained by a plane passing through the top of the tooth, and installation parameters for the grinding wheel type 1V1 were assigned using a developed mathematical expressions system. It was established that the grinding wheel type 1V1 made it possible to assign installation parameters required in fluting of the prototype. The possibility of choosing the grinding wheel profile and geometric parameters as well as its installation parameters based on the manufacturing simulation of the prototype performed in Walter Helitronic Tool Studio was confirmed, which makes it possible to perform thread milling cutters production technological preparation using the developed mathematical expressions.

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An intelligent wheel position searching algorithm for cutting tool grooves with diverse machining precision requirements

Cited by 31 publications

References 22 publications

Comparison of search algorithms in Javanese-Indonesian dictionary application

Comparison of search algorithms in Javanese-Indonesian dictionary application

Big data-oriented wheel position and geometry calculation for cutting tool groove manufacturing based on AI algorithms

Technological preparation of thread milling cutter production at the design stage

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