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Research on the Roundness Approximation Search Algorithm of Si(3)N(4) Ceramic Balls Based on Least Square and EMD Methods

This paper aims to obtain the best shape accuracy evaluation algorithm for silicon nitride ceramic balls after lapping, and to extract the initial signal of the ball surface to improve the accuracy and reliability of the algorithm. The research methods of this paper are as follows: Firstly, an analy...

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Autores principales: Sun, Jian, Chen, Wei, Yao, Jinmei, Tian, Zhonghao, Gao, Longfei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10057613/
https://www.ncbi.nlm.nih.gov/pubmed/36984229
http://dx.doi.org/10.3390/ma16062351
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author Sun, Jian
Chen, Wei
Yao, Jinmei
Tian, Zhonghao
Gao, Longfei
author_facet Sun, Jian
Chen, Wei
Yao, Jinmei
Tian, Zhonghao
Gao, Longfei
author_sort Sun, Jian
collection PubMed
description This paper aims to obtain the best shape accuracy evaluation algorithm for silicon nitride ceramic balls after lapping, and to extract the initial signal of the ball surface to improve the accuracy and reliability of the algorithm. The research methods of this paper are as follows: Firstly, an analysis of the uniform envelope of the lapping trajectory of ceramic balls is carried out to verify whether the lapping trajectory after processing can achieve a consistent envelope on the balls’ surface. On this basis, it is found through experiments that the standard deviation SD between the roundness deviations of different contour sections is small. The value is maintained at approximately 0.03 μm, and the roundness deviation can approximately replace the spherical deviation. Then the different contour sections of the sphere are sampled by the Taylor roundness instrument. Considering the uncertainty, the sampling points of different contour sections are averaged and used as the original signal of the sphere surface. Then the EMD method is used to process the signal to be detected on the sphere surface. The initial signal of the sphere surface is extracted by judging whether the number of ripples Kc obtained by decomposition is greater than the critical value. Then the initial signal is used as the input value of the approximation algorithm. Through the roundness deviation approximation algorithm based on the least square method, the given minimum approximation domain range is finely processed. The divided fine points are used as the center of the circle to intersect with the initial signal. The maximum, minimum, and range of each circle are calculated to obtain the roundness error based on the minimum circumscribed circle, the maximum inscribed circle, and the minimum region method. Finally, the calculated values are compared with those obtained by the traditional algorithm. The experimental results of this paper show that the algorithm is consistent with the roundness error measured by the instrument, compared with the mainstream evaluation criteria. In summary, the conclusions can be drawn as follows: Through a large number of experimental cases and comparative experiments, the algorithm has high accuracy and reliability. The research results of this paper have essential reference significance for accurately evaluating the shape accuracy of ceramic balls in actual production.
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spelling pubmed-100576132023-03-30 Research on the Roundness Approximation Search Algorithm of Si(3)N(4) Ceramic Balls Based on Least Square and EMD Methods Sun, Jian Chen, Wei Yao, Jinmei Tian, Zhonghao Gao, Longfei Materials (Basel) Article This paper aims to obtain the best shape accuracy evaluation algorithm for silicon nitride ceramic balls after lapping, and to extract the initial signal of the ball surface to improve the accuracy and reliability of the algorithm. The research methods of this paper are as follows: Firstly, an analysis of the uniform envelope of the lapping trajectory of ceramic balls is carried out to verify whether the lapping trajectory after processing can achieve a consistent envelope on the balls’ surface. On this basis, it is found through experiments that the standard deviation SD between the roundness deviations of different contour sections is small. The value is maintained at approximately 0.03 μm, and the roundness deviation can approximately replace the spherical deviation. Then the different contour sections of the sphere are sampled by the Taylor roundness instrument. Considering the uncertainty, the sampling points of different contour sections are averaged and used as the original signal of the sphere surface. Then the EMD method is used to process the signal to be detected on the sphere surface. The initial signal of the sphere surface is extracted by judging whether the number of ripples Kc obtained by decomposition is greater than the critical value. Then the initial signal is used as the input value of the approximation algorithm. Through the roundness deviation approximation algorithm based on the least square method, the given minimum approximation domain range is finely processed. The divided fine points are used as the center of the circle to intersect with the initial signal. The maximum, minimum, and range of each circle are calculated to obtain the roundness error based on the minimum circumscribed circle, the maximum inscribed circle, and the minimum region method. Finally, the calculated values are compared with those obtained by the traditional algorithm. The experimental results of this paper show that the algorithm is consistent with the roundness error measured by the instrument, compared with the mainstream evaluation criteria. In summary, the conclusions can be drawn as follows: Through a large number of experimental cases and comparative experiments, the algorithm has high accuracy and reliability. The research results of this paper have essential reference significance for accurately evaluating the shape accuracy of ceramic balls in actual production. MDPI 2023-03-15 /pmc/articles/PMC10057613/ /pubmed/36984229 http://dx.doi.org/10.3390/ma16062351 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
Sun, Jian
Chen, Wei
Yao, Jinmei
Tian, Zhonghao
Gao, Longfei
Research on the Roundness Approximation Search Algorithm of Si(3)N(4) Ceramic Balls Based on Least Square and EMD Methods
title Research on the Roundness Approximation Search Algorithm of Si(3)N(4) Ceramic Balls Based on Least Square and EMD Methods
title_full Research on the Roundness Approximation Search Algorithm of Si(3)N(4) Ceramic Balls Based on Least Square and EMD Methods
title_fullStr Research on the Roundness Approximation Search Algorithm of Si(3)N(4) Ceramic Balls Based on Least Square and EMD Methods
title_full_unstemmed Research on the Roundness Approximation Search Algorithm of Si(3)N(4) Ceramic Balls Based on Least Square and EMD Methods
title_short Research on the Roundness Approximation Search Algorithm of Si(3)N(4) Ceramic Balls Based on Least Square and EMD Methods
title_sort research on the roundness approximation search algorithm of si(3)n(4) ceramic balls based on least square and emd methods
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10057613/
https://www.ncbi.nlm.nih.gov/pubmed/36984229
http://dx.doi.org/10.3390/ma16062351
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