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Simulation-dynamic model of working time costs calculation for performance of operations on CNC machines

Описание

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

Конференция: International Conference on High-Tech and Innovations in Research and Manufacturing, HIRM 2020

Год издания: 2020

Идентификатор DOI: 10.1088/1742-6596/1582/1/012052

Аннотация: This article presents a simulation-dynamic model for determining the time spent on machining operations on machines with a numerical control (CNC). The model is developed on the basis of the system dynamics method using Powersim Studio tools. In the shown model, the calculations of the probabilistic deviation of the actual time of Показать полностьюtechnological operations on CNC machines from the technically sound time norm were carried out on the basis of the Gaussian normal distribution law. The model was used as a tool to study the probabilistic distribution of time for equipment retooling and to perform technological operations on HAAS SL-20 CNC machines. The study allows us to conclude that the constructed simulation dynamic model is quite universal and, on its basis, it is possible to carry out a variety of studies concerning various aspects of the technical substantiation of the time norms for performing machining operations on CNC machines. © Published under licence by IOP Publishing Ltd.

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Издание

Журнал: Journal of Physics: Conference Series

Выпуск журнала: Vol. 1582, Is. 1

Номера страниц: 12052

ISSN журнала: 17426588

Издатель: Institute of Physics Publishing

Персоны

  • Kukartsev V.V. (Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy ave., Krasnoyarsk, 660037, Russian Federation, Siberian Federal University, 79 Svobodny ave., Krasnoyarsk, 660041, Russian Federation)
  • Boyko A.A. (Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy ave., Krasnoyarsk, 660037, Russian Federation, Siberian Federal University, 79 Svobodny ave., Krasnoyarsk, 660041, Russian Federation)
  • Mikhalev A.S. (Siberian Federal University, 79 Svobodny ave., Krasnoyarsk, 660041, Russian Federation)
  • Tynchenko V.S. (Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy ave., Krasnoyarsk, 660037, Russian Federation, Siberian Federal University, 79 Svobodny ave., Krasnoyarsk, 660041, Russian Federation)
  • Rukosueva A.A. (Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy ave., Krasnoyarsk, 660037, Russian Federation)
  • Korpacheva L.N. (Siberian Federal University, 79 Svobodny ave., Krasnoyarsk, 660041, Russian Federation)

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