A novel geometric error identification methodology for the tilting head of five-axis machine tools based on double ball bar
The paper proposes a novel geometric error identification methodology for the tilting head of five-axis machine tools using double ball bar(DBB).Firstly, based on the motion condition of the tilting head of five-axis machine tools, three measurement patterns in Y direction, X direction and Z directi...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2018-01-01
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| Series: | MATEC Web of Conferences |
| Online Access: | https://doi.org/10.1051/matecconf/201822104001 |
| _version_ | 1818611571625033728 |
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| author | Fan Jinwei Wu Changjun Li Zhongsheng |
| author_facet | Fan Jinwei Wu Changjun Li Zhongsheng |
| author_sort | Fan Jinwei |
| collection | DOAJ |
| description | The paper proposes a novel geometric error identification methodology for the tilting head of five-axis machine tools using double ball bar(DBB).Firstly, based on the motion condition of the tilting head of five-axis machine tools, three measurement patterns in Y direction, X direction and Z direction are proposed respectively. Then, the relative displacement equations of two balls of DBB in three measurement patterns are established respectively on the basis of homogeneous transform matrix (HTM) and multi-body system (MBS) theory. Finally, the geometric error parameters of the tilting head are identified totally. The presented method is universal and provides a reference for the error identification for the tilting head of five-axis machine tools. |
| first_indexed | 2024-12-16T15:32:27Z |
| format | Article |
| id | doaj.art-defe017894aa483790248d9be6851609 |
| institution | Directory Open Access Journal |
| issn | 2261-236X |
| language | English |
| last_indexed | 2024-12-16T15:32:27Z |
| publishDate | 2018-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | MATEC Web of Conferences |
| spelling | doaj.art-defe017894aa483790248d9be68516092022-12-21T22:26:19ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-012210400110.1051/matecconf/201822104001matecconf_icdme2018_04001A novel geometric error identification methodology for the tilting head of five-axis machine tools based on double ball barFan JinweiWu ChangjunLi ZhongshengThe paper proposes a novel geometric error identification methodology for the tilting head of five-axis machine tools using double ball bar(DBB).Firstly, based on the motion condition of the tilting head of five-axis machine tools, three measurement patterns in Y direction, X direction and Z direction are proposed respectively. Then, the relative displacement equations of two balls of DBB in three measurement patterns are established respectively on the basis of homogeneous transform matrix (HTM) and multi-body system (MBS) theory. Finally, the geometric error parameters of the tilting head are identified totally. The presented method is universal and provides a reference for the error identification for the tilting head of five-axis machine tools.https://doi.org/10.1051/matecconf/201822104001 |
| spellingShingle | Fan Jinwei Wu Changjun Li Zhongsheng A novel geometric error identification methodology for the tilting head of five-axis machine tools based on double ball bar MATEC Web of Conferences |
| title | A novel geometric error identification methodology for the tilting head of five-axis machine tools based on double ball bar |
| title_full | A novel geometric error identification methodology for the tilting head of five-axis machine tools based on double ball bar |
| title_fullStr | A novel geometric error identification methodology for the tilting head of five-axis machine tools based on double ball bar |
| title_full_unstemmed | A novel geometric error identification methodology for the tilting head of five-axis machine tools based on double ball bar |
| title_short | A novel geometric error identification methodology for the tilting head of five-axis machine tools based on double ball bar |
| title_sort | novel geometric error identification methodology for the tilting head of five axis machine tools based on double ball bar |
| url | https://doi.org/10.1051/matecconf/201822104001 |
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