Adaptive vibration absorbing method of torsional vibrations for processing equipment

Описание

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: International Conference on High-Tech and Innovations in Research and Manufacturing, HIRM 2019

Год издания: 2019

Идентификатор DOI: 10.1088/1742-6596/1353/1/012039

Аннотация: This article describes issues relating to monitoring vibrations affecting the processing equipment. Especially, the problem of negative influence from the increased vibration background in well drilling, where the issue is the most acute, is being described. The urgency of creating methods to monitor vibration condition, due to whiПоказать полностьюch it becomes possible to design reliable and efficient structures with the required characteristics and purpose, is shown. Particular attention is paid to passive methods for monitoring torsional vibrations of pipe columns. In this case, the developed method for monitoring the vibration condition of torsional vibrations is presented, and its effectiveness is shown. In addition, a new device for monitoring torsional vibrations to the developed method, which is distinguished by its simplicity as well as high potential of reliability and efficiency, is shown. © 2019 Published under licence by IOP Publishing Ltd.

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Издание

Журнал: Journal of Physics: Conference Series

Выпуск журнала: Vol. 1353, Is. 1

Номера страниц: 12039

ISSN журнала: 17426588

Издатель: Institute of Physics Publishing

Авторы

  • Bashmur K.A. (Siberian Federal University, 79 Svobodny Avenue, Krasnoyarsk, 660041, Russian Federation)
  • Petrovsky E.A. (Siberian Federal University, 79 Svobodny Avenue, Krasnoyarsk, 660041, Russian Federation)
  • Mazurov I.A. (Siberian Federal University, 79 Svobodny Avenue, Krasnoyarsk, 660041, Russian Federation)
  • Bukhtoyarov V.V. (Siberian Federal University, 79 Svobodny Avenue, Krasnoyarsk, 660041, Russian Federation, Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy Avenue, Krasnoyarsk, 660037, Russian Federation)
  • Tynchenko S.V. (Siberian Federal University, 79 Svobodny Avenue, Krasnoyarsk, 660041, Russian Federation, Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy Avenue, Krasnoyarsk, 660037, Russian Federation)
  • Gorodov A.A. (Siberian Federal University, 79 Svobodny Avenue, Krasnoyarsk, 660041, Russian Federation, Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy Avenue, Krasnoyarsk, 660037, Russian Federation)

Вхождение в базы данных

  • Scopus (цитирований 1)