ANALYSIS METHOD AND PROCESS OPTIMIZATION OF VIBRATION SIGNAL IN PRECISION MILLING BASED ON BLIND SOURCE SEPARATION
Precision milling technology has been widely used in the precision manufacturing in automobile, aerospace, microelectronics and other fields. Vibration during milling greatly affects machining accuracy and quality. In this paper, a method of cutting vibration signal analysis and optimization based o...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of Mechanical Strength
2022-01-01
|
| Series: | Jixie qiangdu |
| Subjects: | |
| Online Access: | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2022.02.003 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841536057551618048 |
|---|---|
| author | GUO MiaoXian HUANG Chao GUO WeiCheng WU ChongJun |
| author_facet | GUO MiaoXian HUANG Chao GUO WeiCheng WU ChongJun |
| author_sort | GUO MiaoXian |
| collection | DOAJ |
| description | Precision milling technology has been widely used in the precision manufacturing in automobile, aerospace, microelectronics and other fields. Vibration during milling greatly affects machining accuracy and quality. In this paper, a method of cutting vibration signal analysis and optimization based on blind source separation is proposed in milling process. Firstly, combining Ensemble Empirical Mode Decomposition（EEMD） with Sparse Component Analysis（SCA）,the blind source separation of milling vibration signals was realized, so as to calculate the vibration contribution and analyze the main vibration factors of precision milling. Based on the analysis of vibration experimental signals, the order of influence of milling parameters on vibration was studied by Taguchi method. Finally, the optimization method of machining parameters is proposed. |
| format | Article |
| id | doaj-art-dc52152770bf46a3aedd69ad3a674ba0 |
| institution | Kabale University |
| issn | 1001-9669 |
| language | zho |
| publishDate | 2022-01-01 |
| publisher | Editorial Office of Journal of Mechanical Strength |
| record_format | Article |
| series | Jixie qiangdu |
| spelling | doaj-art-dc52152770bf46a3aedd69ad3a674ba02025-01-15T02:24:31ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692022-01-014427127829911201ANALYSIS METHOD AND PROCESS OPTIMIZATION OF VIBRATION SIGNAL IN PRECISION MILLING BASED ON BLIND SOURCE SEPARATIONGUO MiaoXianHUANG ChaoGUO WeiChengWU ChongJunPrecision milling technology has been widely used in the precision manufacturing in automobile, aerospace, microelectronics and other fields. Vibration during milling greatly affects machining accuracy and quality. In this paper, a method of cutting vibration signal analysis and optimization based on blind source separation is proposed in milling process. Firstly, combining Ensemble Empirical Mode Decomposition（EEMD） with Sparse Component Analysis（SCA）,the blind source separation of milling vibration signals was realized, so as to calculate the vibration contribution and analyze the main vibration factors of precision milling. Based on the analysis of vibration experimental signals, the order of influence of milling parameters on vibration was studied by Taguchi method. Finally, the optimization method of machining parameters is proposed.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2022.02.003Milling vibrationBlind source separationContribution of vibration sourceTaguchi methodParameter optimization |
| spellingShingle | GUO MiaoXian HUANG Chao GUO WeiCheng WU ChongJun ANALYSIS METHOD AND PROCESS OPTIMIZATION OF VIBRATION SIGNAL IN PRECISION MILLING BASED ON BLIND SOURCE SEPARATION Jixie qiangdu Milling vibration Blind source separation Contribution of vibration source Taguchi method Parameter optimization |
| title | ANALYSIS METHOD AND PROCESS OPTIMIZATION OF VIBRATION SIGNAL IN PRECISION MILLING BASED ON BLIND SOURCE SEPARATION |
| title_full | ANALYSIS METHOD AND PROCESS OPTIMIZATION OF VIBRATION SIGNAL IN PRECISION MILLING BASED ON BLIND SOURCE SEPARATION |
| title_fullStr | ANALYSIS METHOD AND PROCESS OPTIMIZATION OF VIBRATION SIGNAL IN PRECISION MILLING BASED ON BLIND SOURCE SEPARATION |
| title_full_unstemmed | ANALYSIS METHOD AND PROCESS OPTIMIZATION OF VIBRATION SIGNAL IN PRECISION MILLING BASED ON BLIND SOURCE SEPARATION |
| title_short | ANALYSIS METHOD AND PROCESS OPTIMIZATION OF VIBRATION SIGNAL IN PRECISION MILLING BASED ON BLIND SOURCE SEPARATION |
| title_sort | analysis method and process optimization of vibration signal in precision milling based on blind source separation |
| topic | Milling vibration Blind source separation Contribution of vibration source Taguchi method Parameter optimization |
| url | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2022.02.003 |
| work_keys_str_mv | AT guomiaoxian analysismethodandprocessoptimizationofvibrationsignalinprecisionmillingbasedonblindsourceseparation AT huangchao analysismethodandprocessoptimizationofvibrationsignalinprecisionmillingbasedonblindsourceseparation AT guoweicheng analysismethodandprocessoptimizationofvibrationsignalinprecisionmillingbasedonblindsourceseparation AT wuchongjun analysismethodandprocessoptimizationofvibrationsignalinprecisionmillingbasedonblindsourceseparation |