On the issue of automatic form accuracy during processing on CNC machines; Revista Facultad de Ingenieria; No. 103

Bibliografski detalji
Parent link:Revista Facultad de Ingenieria
No. 103.— 2022.— [P. 88-95]
Autor kompanije: Национальный исследовательский Томский политехнический университет Юргинский технологический институт
Daljnji autori: Ovsyannikov V. E. Viktor Evgenjevich, Nekrasov R. Yu. Roman Yurjevich, Putilova U. S. Uljyana Sergeevna, Ilyashchenko D. P. Dmitry Pavlovich, Verkhoturova E. V. Elena Vladimirovna
Sažetak: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
Jezik:engleski
Izdano: 2022
Teme:
Online pristup:https://doi.org/10.17533/udea.redin.20201111
Format: Elektronički Poglavlje knjige
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=666597
Opis
Sažetak: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
Digitalni identifikator objekta:10.17533/udea.redin.20201111