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Longitudinal–Torsional Ultrasonic Grinding of GCr15: Development of Longitudinal–Torsional Ultrasonic System and Prediction of Surface Topography
The common material of bearing rings is GCr15 bearing steel which is a typical difficult-to-machine material. As an important working surface of the bearing, the inner surface of the raceway plays a vital role in the performance of the bearing. As an important means to solve the high-performance man...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10456418/ https://www.ncbi.nlm.nih.gov/pubmed/37630163 http://dx.doi.org/10.3390/mi14081626 |
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author | Zhang, Huan Niu, Ying Jia, Xiaofeng Chu, Shuaizhen Niu, Jingjing |
author_facet | Zhang, Huan Niu, Ying Jia, Xiaofeng Chu, Shuaizhen Niu, Jingjing |
author_sort | Zhang, Huan |
collection | PubMed |
description | The common material of bearing rings is GCr15 bearing steel which is a typical difficult-to-machine material. As an important working surface of the bearing, the inner surface of the raceway plays a vital role in the performance of the bearing. As an important means to solve the high-performance manufacturing of difficult-to-machine materials, longitudinal–torsional ultrasonic processing is widely used in various types of processing. In the presented work, the basic size of the horn is obtained from the wave equation of the forced vibration, and the modal analysis and amplitude test are carried out to verify the rationality of the LUTG structure. Then, according to the probability density function of cutting thickness and the overlapping effect of adjacent abrasive trajectories, the LUTG surface topography prediction model is established by using the height formula of the surface residual material, and the model reliability is verified by using the orthogonal test. The error between the test results and the prediction model is within 13.2%. Finally, based on the response surface method, the optimal process parameters that can meet the requirements of low roughness (Ra) and high material removal rate (MRR) are screened, and the optimal combination of process parameters is obtained as follows: [Formula: see text] = 4.5 μm, [Formula: see text] = 6493.3 r/min, [Formula: see text] = 28.4 μm, and [Formula: see text] = 21.1 mm/min. |
format | Online Article Text |
id | pubmed-10456418 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-104564182023-08-26 Longitudinal–Torsional Ultrasonic Grinding of GCr15: Development of Longitudinal–Torsional Ultrasonic System and Prediction of Surface Topography Zhang, Huan Niu, Ying Jia, Xiaofeng Chu, Shuaizhen Niu, Jingjing Micromachines (Basel) Article The common material of bearing rings is GCr15 bearing steel which is a typical difficult-to-machine material. As an important working surface of the bearing, the inner surface of the raceway plays a vital role in the performance of the bearing. As an important means to solve the high-performance manufacturing of difficult-to-machine materials, longitudinal–torsional ultrasonic processing is widely used in various types of processing. In the presented work, the basic size of the horn is obtained from the wave equation of the forced vibration, and the modal analysis and amplitude test are carried out to verify the rationality of the LUTG structure. Then, according to the probability density function of cutting thickness and the overlapping effect of adjacent abrasive trajectories, the LUTG surface topography prediction model is established by using the height formula of the surface residual material, and the model reliability is verified by using the orthogonal test. The error between the test results and the prediction model is within 13.2%. Finally, based on the response surface method, the optimal process parameters that can meet the requirements of low roughness (Ra) and high material removal rate (MRR) are screened, and the optimal combination of process parameters is obtained as follows: [Formula: see text] = 4.5 μm, [Formula: see text] = 6493.3 r/min, [Formula: see text] = 28.4 μm, and [Formula: see text] = 21.1 mm/min. MDPI 2023-08-17 /pmc/articles/PMC10456418/ /pubmed/37630163 http://dx.doi.org/10.3390/mi14081626 Text en © 2023 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 Zhang, Huan Niu, Ying Jia, Xiaofeng Chu, Shuaizhen Niu, Jingjing Longitudinal–Torsional Ultrasonic Grinding of GCr15: Development of Longitudinal–Torsional Ultrasonic System and Prediction of Surface Topography |
title | Longitudinal–Torsional Ultrasonic Grinding of GCr15: Development of Longitudinal–Torsional Ultrasonic System and Prediction of Surface Topography |
title_full | Longitudinal–Torsional Ultrasonic Grinding of GCr15: Development of Longitudinal–Torsional Ultrasonic System and Prediction of Surface Topography |
title_fullStr | Longitudinal–Torsional Ultrasonic Grinding of GCr15: Development of Longitudinal–Torsional Ultrasonic System and Prediction of Surface Topography |
title_full_unstemmed | Longitudinal–Torsional Ultrasonic Grinding of GCr15: Development of Longitudinal–Torsional Ultrasonic System and Prediction of Surface Topography |
title_short | Longitudinal–Torsional Ultrasonic Grinding of GCr15: Development of Longitudinal–Torsional Ultrasonic System and Prediction of Surface Topography |
title_sort | longitudinal–torsional ultrasonic grinding of gcr15: development of longitudinal–torsional ultrasonic system and prediction of surface topography |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10456418/ https://www.ncbi.nlm.nih.gov/pubmed/37630163 http://dx.doi.org/10.3390/mi14081626 |
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