On the issue of automatic form accuracy during processing on CNC machines; Revista Facultad de Ingenieria; No. 103
| Parent link: | Revista Facultad de Ingenieria No. 103.— 2022.— [P. 88-95] |
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| Erakunde egilea: | |
| Beste egile batzuk: | , , , , |
| Gaia: | Title screen This work aims to develop technical solutions that allow providing the specified parameters of the accuracy of the shape of parts in the cross-section during processing on a CNC machine. Experimental studies were performed on a screw-cutting lathe. An acoustic signal in the range from 6 to 12 kHz was used as a diagnostic sign to assess the wear of the cutting tool, since during preliminary studies, it was found that this range is most sensitive to changes in processing modes. Studies were performed at different values of wear of the cutting tool (estimated by the width of the wear chamfer). For estimating the life of a cutting tool, a neuro-fuzzy model has been developed. Using models of this class allows adjusting to specific conditions (machine, tool), and correctly evaluating the tool life. The model error for the test sample does not exceed 10%. The test results showed that using the proposed solutions makes it possible to increase the accuracy of the manufacturing of shut-off valve parts by 20-30%. Режим доступа: по договору с организацией-держателем ресурса |
| Hizkuntza: | ingelesa |
| Argitaratua: |
2022
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| Gaiak: | |
| Sarrera elektronikoa: | https://doi.org/10.17533/udea.redin.20201111 |
| Formatua: | MixedMaterials Baliabide elektronikoa Liburu kapitulua |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=666597 |
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| 200 | 1 | |a On the issue of automatic form accuracy during processing on CNC machines |f V. E. Ovsyannikov, R. Yu. Nekrasov, U. S. Putilova [et al.] | |
| 203 | |a Text |c electronic | ||
| 300 | |a Title screen | ||
| 320 | |a [References: 14 tit.] | ||
| 330 | |a This work aims to develop technical solutions that allow providing the specified parameters of the accuracy of the shape of parts in the cross-section during processing on a CNC machine. Experimental studies were performed on a screw-cutting lathe. An acoustic signal in the range from 6 to 12 kHz was used as a diagnostic sign to assess the wear of the cutting tool, since during preliminary studies, it was found that this range is most sensitive to changes in processing modes. Studies were performed at different values of wear of the cutting tool (estimated by the width of the wear chamfer). For estimating the life of a cutting tool, a neuro-fuzzy model has been developed. Using models of this class allows adjusting to specific conditions (machine, tool), and correctly evaluating the tool life. The model error for the test sample does not exceed 10%. The test results showed that using the proposed solutions makes it possible to increase the accuracy of the manufacturing of shut-off valve parts by 20-30%. | ||
| 333 | |a Режим доступа: по договору с организацией-держателем ресурса | ||
| 461 | |t Revista Facultad de Ingenieria | ||
| 463 | |t No. 103 |v [P. 88-95] |d 2022 | ||
| 610 | 1 | |a электронный ресурс | |
| 610 | 1 | |a труды учёных ТПУ | |
| 610 | 1 | |a vibration signal | |
| 610 | 1 | |a correlogram analysis | |
| 610 | 1 | |a neuro-fuzzy models | |
| 610 | 1 | |a correlation entropy | |
| 610 | 1 | |a neural network database | |
| 610 | 1 | |a вибрационные сигналы | |
| 610 | 1 | |a нейро-нечеткие системы | |
| 610 | 1 | |a энтропия | |
| 701 | 1 | |a Ovsyannikov |b V. E. |g Viktor Evgenjevich | |
| 701 | 1 | |a Nekrasov |b R. Yu. |g Roman Yurjevich | |
| 701 | 1 | |a Putilova |b U. S. |g Uljyana Sergeevna | |
| 701 | 1 | |a Ilyashchenko |b D. P. |c specialist in the field of welding production |c Associate Professor of the Yurga Technological Institute (branch) of Tomsk Polytechnic University, Candidate of Technical Sciences |f 1980- |g Dmitry Pavlovich |3 (RuTPU)RU\TPU\pers\34519 |9 17900 | |
| 701 | 1 | |a Verkhoturova |b E. V. |g Elena Vladimirovna | |
| 712 | 0 | 2 | |a Национальный исследовательский Томский политехнический университет |b Юргинский технологический институт |c (2009- ) |3 (RuTPU)RU\TPU\col\15903 |
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| 856 | 4 | |u https://doi.org/10.17533/udea.redin.20201111 | |
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