Relative Varying Dynamics Based Whole Cutting Process Optimization for Thin-walled Parts
Abstract Thin-walled parts are typically difficult-to-cut components due to the complex dynamics in cutting process. The dynamics is variant for part during machining, but invariant for machine tool. The variation of the relative dynamics results in the difference of cutting stage division and cutti...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2022-12-01
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| Series: | Chinese Journal of Mechanical Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s10033-022-00815-z |
| _version_ | 1797985494396567552 |
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| author | Yuyang Tang Jun Zhang Jia Yin Lele Bai Huijie Zhang Wanhua Zhao |
| author_facet | Yuyang Tang Jun Zhang Jia Yin Lele Bai Huijie Zhang Wanhua Zhao |
| author_sort | Yuyang Tang |
| collection | DOAJ |
| description | Abstract Thin-walled parts are typically difficult-to-cut components due to the complex dynamics in cutting process. The dynamics is variant for part during machining, but invariant for machine tool. The variation of the relative dynamics results in the difference of cutting stage division and cutting parameter selection. This paper develops a novel method for whole cutting process optimization based on the relative varying dynamic characteristic of machining system. A new strategy to distinguish cutting stages depending on the dominated dynamics during machining process is proposed, and a thickness-dependent model to predict the dynamics of part is developed. Optimal cutting parameters change with stages, which can be divided by the critical thickness of part. Based on the dynamics comparison between machine tool and thickness-varying part, the critical thicknesses are predicted by an iterative algorithm. The proposed method is validated by the machining of three benchmarks. Good agreements have been obtained between prediction and experimental results in terms of stages identification, meanwhile, the optimized parameters perform well during the whole cutting process. |
| first_indexed | 2024-04-11T07:19:07Z |
| format | Article |
| id | doaj.art-b6e0659d71ef477595e8fdabd87ffcf5 |
| institution | Directory Open Access Journal |
| issn | 1000-9345 2192-8258 |
| language | English |
| last_indexed | 2024-04-11T07:19:07Z |
| publishDate | 2022-12-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Chinese Journal of Mechanical Engineering |
| spelling | doaj.art-b6e0659d71ef477595e8fdabd87ffcf52022-12-22T04:37:49ZengSpringerOpenChinese Journal of Mechanical Engineering1000-93452192-82582022-12-0135111310.1186/s10033-022-00815-zRelative Varying Dynamics Based Whole Cutting Process Optimization for Thin-walled PartsYuyang Tang0Jun Zhang1Jia Yin2Lele Bai3Huijie Zhang4Wanhua Zhao5State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong UniversityState Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong UniversityState Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong UniversityState Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong UniversityState Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong UniversityState Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong UniversityAbstract Thin-walled parts are typically difficult-to-cut components due to the complex dynamics in cutting process. The dynamics is variant for part during machining, but invariant for machine tool. The variation of the relative dynamics results in the difference of cutting stage division and cutting parameter selection. This paper develops a novel method for whole cutting process optimization based on the relative varying dynamic characteristic of machining system. A new strategy to distinguish cutting stages depending on the dominated dynamics during machining process is proposed, and a thickness-dependent model to predict the dynamics of part is developed. Optimal cutting parameters change with stages, which can be divided by the critical thickness of part. Based on the dynamics comparison between machine tool and thickness-varying part, the critical thicknesses are predicted by an iterative algorithm. The proposed method is validated by the machining of three benchmarks. Good agreements have been obtained between prediction and experimental results in terms of stages identification, meanwhile, the optimized parameters perform well during the whole cutting process.https://doi.org/10.1186/s10033-022-00815-zThin-walled partsVarying dynamicsFrequency response functionWhole cutting processOptimization |
| spellingShingle | Yuyang Tang Jun Zhang Jia Yin Lele Bai Huijie Zhang Wanhua Zhao Relative Varying Dynamics Based Whole Cutting Process Optimization for Thin-walled Parts Chinese Journal of Mechanical Engineering Thin-walled parts Varying dynamics Frequency response function Whole cutting process Optimization |
| title | Relative Varying Dynamics Based Whole Cutting Process Optimization for Thin-walled Parts |
| title_full | Relative Varying Dynamics Based Whole Cutting Process Optimization for Thin-walled Parts |
| title_fullStr | Relative Varying Dynamics Based Whole Cutting Process Optimization for Thin-walled Parts |
| title_full_unstemmed | Relative Varying Dynamics Based Whole Cutting Process Optimization for Thin-walled Parts |
| title_short | Relative Varying Dynamics Based Whole Cutting Process Optimization for Thin-walled Parts |
| title_sort | relative varying dynamics based whole cutting process optimization for thin walled parts |
| topic | Thin-walled parts Varying dynamics Frequency response function Whole cutting process Optimization |
| url | https://doi.org/10.1186/s10033-022-00815-z |
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