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Research on the Oscillation in Centerless Grinding Technology When Machining Bearing Steel
In today’s engineering industry, technical diagnostics presents many advantages for improving the management of machining centers and automated production lines. As the fourth industrial revolution is currently being implemented, which includes machine diagnostics, the idea of adding information fro...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9323825/ https://www.ncbi.nlm.nih.gov/pubmed/35888434 http://dx.doi.org/10.3390/ma15144968 |
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author | Gavlas, Martin Kaco, Michal Dekýš, Vladimír Špiriak, Miroslav Slabejová, Silvia Czán, Andrej Holubjak, Jozef Kušnerová, Milena Harničárová, Marta Valíček, Jan |
author_facet | Gavlas, Martin Kaco, Michal Dekýš, Vladimír Špiriak, Miroslav Slabejová, Silvia Czán, Andrej Holubjak, Jozef Kušnerová, Milena Harničárová, Marta Valíček, Jan |
author_sort | Gavlas, Martin |
collection | PubMed |
description | In today’s engineering industry, technical diagnostics presents many advantages for improving the management of machining centers and automated production lines. As the fourth industrial revolution is currently being implemented, which includes machine diagnostics, the idea of adding information from the field of vibrodiagnostics was born. The vibration of the workpiece or machine tool negatively affects the geometric parameters of the machined surfaces of the workpiece. Through vibrodiagnostics, the influence of cutting parameters on the oscillation of a bearing steel workpiece during centerless grinding is investigated. The presented publication deals with the vibration of the mechanical parts of a centerless grinding machine. The oscillations are recorded by acceleration sensors, which are also placed on the support ruler in which the workpieces are guided, and the recorded data are input parameters for statistical processing of acceleration values in the form of statistical characteristics (minimum, lower quartile, median, upper quartile, maximum). In this paper, this procedure was applied for the selection of the optimum cutting parameters (for the speed of the support wheel), where the machining parameters at which the minimum oscillation values occur were selected based on the above-mentioned statistical characteristics. This optimization procedure revealed increased vibration values which reached the highest amplitude on the ruler, namely accelerations of 11 m/s(2), the origin of which was subsequently detected by STFT because the occurrence of resonance events or the excitation of natural frequencies of the machine were suspected. The STFT analysis identified a resonant region at machine start-up determined by the spindle speed which excites the resonance on the machine. The speed range between 1950 and 2150 rpm, which corresponds to the built-up resonance, was provided to the technologists to ensure that the machine was not operated around this resonance region at 400 and 760 Hz until the undesired phenomenon was eliminated. The results of the individual measurements provided information on the ideal setting of the cutting parameters and the current state of the machine. |
format | Online Article Text |
id | pubmed-9323825 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-93238252022-07-27 Research on the Oscillation in Centerless Grinding Technology When Machining Bearing Steel Gavlas, Martin Kaco, Michal Dekýš, Vladimír Špiriak, Miroslav Slabejová, Silvia Czán, Andrej Holubjak, Jozef Kušnerová, Milena Harničárová, Marta Valíček, Jan Materials (Basel) Article In today’s engineering industry, technical diagnostics presents many advantages for improving the management of machining centers and automated production lines. As the fourth industrial revolution is currently being implemented, which includes machine diagnostics, the idea of adding information from the field of vibrodiagnostics was born. The vibration of the workpiece or machine tool negatively affects the geometric parameters of the machined surfaces of the workpiece. Through vibrodiagnostics, the influence of cutting parameters on the oscillation of a bearing steel workpiece during centerless grinding is investigated. The presented publication deals with the vibration of the mechanical parts of a centerless grinding machine. The oscillations are recorded by acceleration sensors, which are also placed on the support ruler in which the workpieces are guided, and the recorded data are input parameters for statistical processing of acceleration values in the form of statistical characteristics (minimum, lower quartile, median, upper quartile, maximum). In this paper, this procedure was applied for the selection of the optimum cutting parameters (for the speed of the support wheel), where the machining parameters at which the minimum oscillation values occur were selected based on the above-mentioned statistical characteristics. This optimization procedure revealed increased vibration values which reached the highest amplitude on the ruler, namely accelerations of 11 m/s(2), the origin of which was subsequently detected by STFT because the occurrence of resonance events or the excitation of natural frequencies of the machine were suspected. The STFT analysis identified a resonant region at machine start-up determined by the spindle speed which excites the resonance on the machine. The speed range between 1950 and 2150 rpm, which corresponds to the built-up resonance, was provided to the technologists to ensure that the machine was not operated around this resonance region at 400 and 760 Hz until the undesired phenomenon was eliminated. The results of the individual measurements provided information on the ideal setting of the cutting parameters and the current state of the machine. MDPI 2022-07-17 /pmc/articles/PMC9323825/ /pubmed/35888434 http://dx.doi.org/10.3390/ma15144968 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Gavlas, Martin Kaco, Michal Dekýš, Vladimír Špiriak, Miroslav Slabejová, Silvia Czán, Andrej Holubjak, Jozef Kušnerová, Milena Harničárová, Marta Valíček, Jan Research on the Oscillation in Centerless Grinding Technology When Machining Bearing Steel |
title | Research on the Oscillation in Centerless Grinding Technology When Machining Bearing Steel |
title_full | Research on the Oscillation in Centerless Grinding Technology When Machining Bearing Steel |
title_fullStr | Research on the Oscillation in Centerless Grinding Technology When Machining Bearing Steel |
title_full_unstemmed | Research on the Oscillation in Centerless Grinding Technology When Machining Bearing Steel |
title_short | Research on the Oscillation in Centerless Grinding Technology When Machining Bearing Steel |
title_sort | research on the oscillation in centerless grinding technology when machining bearing steel |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9323825/ https://www.ncbi.nlm.nih.gov/pubmed/35888434 http://dx.doi.org/10.3390/ma15144968 |
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