Identification of the Model of the Dynamic System of a Milling Machine Based on the Study of Vibroacoustic Characteristics
In this paper, the authors propose a method for ensuring the reliability of the computational model intended for the study of dynamic processes in technological cutting systems. The advantage of using 3D models in CAD/CAM/CAE systems for solving such problems is shown. The method of conducting an ex...
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EDP Sciences
2021
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oai:doaj.org-article:da37ade87d134332be113dfbff77ba402021-11-08T15:20:45ZIdentification of the Model of the Dynamic System of a Milling Machine Based on the Study of Vibroacoustic Characteristics2261-236X10.1051/matecconf/202134603030https://doaj.org/article/da37ade87d134332be113dfbff77ba402021-01-01T00:00:00Zhttps://www.matec-conferences.org/articles/matecconf/pdf/2021/15/matecconf_icmtmte2021_03030.pdfhttps://doaj.org/toc/2261-236XIn this paper, the authors propose a method for ensuring the reliability of the computational model intended for the study of dynamic processes in technological cutting systems. The advantage of using 3D models in CAD/CAM/CAE systems for solving such problems is shown. The method of conducting an experimental study to identify the calculated model by natural frequencies is justified. The method is proposed for adjusting the 3D model in order to ensure that the dynamic pattern occurring during cutting corresponds to experimental processes. The authors give a concrete example of solving the problem of identifying the computational model of the dynamic system of a milling machine. An example of solving the applied problem of optimizing cutting modes in terms of vibration resistance parameters using the identified computational model is also given.Khusainov RustemSafin DinarEDP SciencesarticleEngineering (General). Civil engineering (General)TA1-2040ENFRMATEC Web of Conferences, Vol 346, p 03030 (2021) |
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Engineering (General). Civil engineering (General) TA1-2040 |
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Engineering (General). Civil engineering (General) TA1-2040 Khusainov Rustem Safin Dinar Identification of the Model of the Dynamic System of a Milling Machine Based on the Study of Vibroacoustic Characteristics |
description |
In this paper, the authors propose a method for ensuring the reliability of the computational model intended for the study of dynamic processes in technological cutting systems. The advantage of using 3D models in CAD/CAM/CAE systems for solving such problems is shown. The method of conducting an experimental study to identify the calculated model by natural frequencies is justified. The method is proposed for adjusting the 3D model in order to ensure that the dynamic pattern occurring during cutting corresponds to experimental processes. The authors give a concrete example of solving the problem of identifying the computational model of the dynamic system of a milling machine. An example of solving the applied problem of optimizing cutting modes in terms of vibration resistance parameters using the identified computational model is also given. |
format |
article |
author |
Khusainov Rustem Safin Dinar |
author_facet |
Khusainov Rustem Safin Dinar |
author_sort |
Khusainov Rustem |
title |
Identification of the Model of the Dynamic System of a Milling Machine Based on the Study of Vibroacoustic Characteristics |
title_short |
Identification of the Model of the Dynamic System of a Milling Machine Based on the Study of Vibroacoustic Characteristics |
title_full |
Identification of the Model of the Dynamic System of a Milling Machine Based on the Study of Vibroacoustic Characteristics |
title_fullStr |
Identification of the Model of the Dynamic System of a Milling Machine Based on the Study of Vibroacoustic Characteristics |
title_full_unstemmed |
Identification of the Model of the Dynamic System of a Milling Machine Based on the Study of Vibroacoustic Characteristics |
title_sort |
identification of the model of the dynamic system of a milling machine based on the study of vibroacoustic characteristics |
publisher |
EDP Sciences |
publishDate |
2021 |
url |
https://doaj.org/article/da37ade87d134332be113dfbff77ba40 |
work_keys_str_mv |
AT khusainovrustem identificationofthemodelofthedynamicsystemofamillingmachinebasedonthestudyofvibroacousticcharacteristics AT safindinar identificationofthemodelofthedynamicsystemofamillingmachinebasedonthestudyofvibroacousticcharacteristics |
_version_ |
1718441801092694016 |