Sensors of vibration and acoustic emission for monitoring of boring with skiving cutters; Journal of Physics: Conference Series; Vol. 803 : Information Technologies in Business and Industry (ITBI2016)

Detalles Bibliográficos
Parent link:Journal of Physics: Conference Series
Vol. 803 : Information Technologies in Business and Industry (ITBI2016).— 2017.— [012139, 6 p.]
Autores Corporativos: Национальный исследовательский Томский политехнический университет (ТПУ) Юргинский технологический институт (филиал) (ЮТИ) Кафедра технологии машиностроения (ТМС), Национальный исследовательский Томский политехнический университет (ТПУ) Физико-технический институт (ФТИ) Кафедра экспериментальной физики (ЭФ)
Otros Autores: Shamarin N. N. Nikolay Nikolaevich, Filippov A. V. Andrey Vladimirovich, Podgornykh O. A. Oleg Anatolievich, Filippova E. O. Ekaterina Olegovna
Sumario:Title screen
Diagnosing processing system conditions is a key area in automation of modern machinery production. The article presents the results of a preliminary experimental research of the boring process using conventional and skiving cutters under the conditions of the low stiffness processing system. Acoustic emission and vibration sensors are used for cutting process diagnosis. Surface roughness after machining is determined using a laser scanning microscope. As a result, it is found that the use of skiving cutters provides greater stability of the cutting process and lower surface roughness as compared with conventional cutters.
Lenguaje:inglés
Publicado: 2017
Materias:
Acceso en línea:http://dx.doi.org/10.1088/1742-6596/803/1/012139
http://earchive.tpu.ru/handle/11683/38186
Formato: Electrónico Capítulo de libro
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=654426
Descripción
Sumario:Title screen
Diagnosing processing system conditions is a key area in automation of modern machinery production. The article presents the results of a preliminary experimental research of the boring process using conventional and skiving cutters under the conditions of the low stiffness processing system. Acoustic emission and vibration sensors are used for cutting process diagnosis. Surface roughness after machining is determined using a laser scanning microscope. As a result, it is found that the use of skiving cutters provides greater stability of the cutting process and lower surface roughness as compared with conventional cutters.
DOI:10.1088/1742-6596/803/1/012139