Tool path optimisation for flank milling ruled surface based on the distance function.
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| Title: | Tool path optimisation for flank milling ruled surface based on the distance function. |
|---|---|
| Authors: | Zhang, Xiao-Ming1 (AUTHOR), Zhu, Li-Min1 (AUTHOR) cheungxm@gmail.com, Zheng, Gang1 (AUTHOR), Ding, Han1 (AUTHOR) |
| Source: | International Journal of Production Research. Jul2010, Vol. 48 Issue 14, p4233-4251. 19p. 8 Diagrams, 4 Charts, 9 Graphs. |
| Subjects: | Manufacturing processes, Milling machinery, Advanced planning & optimization, Supply chains, Industrial efficiency, Machine tools, Equipment & supplies |
| Abstract: | This paper deals with optimised tool path generation for five-axis flank milling using signed point-to-surface distance function. The main idea is that the geometrical deviations between the design surface and the machined surface are minimised by fine tuning the cutter locations. Based on the tangency conditions in envelope theory, the analytic representation of the envelope surface of a cutter undergoing five-axis motion is first obtained. Then the geometrical deviations between the envelope surface (i.e. machined surface) and the design surface are calculated. Optimisation of the five-axis tool path is modeled as the fine tuning of the initial cutter locations under the minimum zone criterion recommended by ANSI and ISO, which requires minimisation of the maximum geometrical deviation between the design surface and the envelope surface. Using the signed point-to-surface distance function, tool path optimisation for finish milling is formulated as a constrained optimisation problem. Based on the first-order Taylor approximation of the signed distance function, two sequential approximation algorithms for the Minimax and Least Square optimisations are developed. Numerical examples, in which a conical tool is chosen as a special case of flank machining ruled surface, verify the proposed strategy. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
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| Header | DbId: egs DbLabel: Engineering Source An: 50652356 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Tool path optimisation for flank milling ruled surface based on the distance function. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Xiao-Ming%22">Zhang, Xiao-Ming</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhu%2C+Li-Min%22">Zhu, Li-Min</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> cheungxm@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Zheng%2C+Gang%22">Zheng, Gang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ding%2C+Han%22">Ding, Han</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Production+Research%22">International Journal of Production Research</searchLink>. Jul2010, Vol. 48 Issue 14, p4233-4251. 19p. 8 Diagrams, 4 Charts, 9 Graphs. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Manufacturing+processes%22">Manufacturing processes</searchLink><br /><searchLink fieldCode="DE" term="%22Milling+machinery%22">Milling machinery</searchLink><br /><searchLink fieldCode="DE" term="%22Advanced+planning+%26+optimization%22">Advanced planning & optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Supply+chains%22">Supply chains</searchLink><br /><searchLink fieldCode="DE" term="%22Industrial+efficiency%22">Industrial efficiency</searchLink><br /><searchLink fieldCode="DE" term="%22Machine+tools%22">Machine tools</searchLink><br /><searchLink fieldCode="DE" term="%22Equipment+%26+supplies%22">Equipment & supplies</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This paper deals with optimised tool path generation for five-axis flank milling using signed point-to-surface distance function. The main idea is that the geometrical deviations between the design surface and the machined surface are minimised by fine tuning the cutter locations. Based on the tangency conditions in envelope theory, the analytic representation of the envelope surface of a cutter undergoing five-axis motion is first obtained. Then the geometrical deviations between the envelope surface (i.e. machined surface) and the design surface are calculated. Optimisation of the five-axis tool path is modeled as the fine tuning of the initial cutter locations under the minimum zone criterion recommended by ANSI and ISO, which requires minimisation of the maximum geometrical deviation between the design surface and the envelope surface. Using the signed point-to-surface distance function, tool path optimisation for finish milling is formulated as a constrained optimisation problem. Based on the first-order Taylor approximation of the signed distance function, two sequential approximation algorithms for the Minimax and Least Square optimisations are developed. Numerical examples, in which a conical tool is chosen as a special case of flank machining ruled surface, verify the proposed strategy. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/00207540902993019 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 4233 Subjects: – SubjectFull: Manufacturing processes Type: general – SubjectFull: Milling machinery Type: general – SubjectFull: Advanced planning & optimization Type: general – SubjectFull: Supply chains Type: general – SubjectFull: Industrial efficiency Type: general – SubjectFull: Machine tools Type: general – SubjectFull: Equipment & supplies Type: general Titles: – TitleFull: Tool path optimisation for flank milling ruled surface based on the distance function. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhang, Xiao-Ming – PersonEntity: Name: NameFull: Zhu, Li-Min – PersonEntity: Name: NameFull: Zheng, Gang – PersonEntity: Name: NameFull: Ding, Han IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 07 Text: Jul2010 Type: published Y: 2010 Identifiers: – Type: issn-print Value: 00207543 Numbering: – Type: volume Value: 48 – Type: issue Value: 14 Titles: – TitleFull: International Journal of Production Research Type: main |
| ResultId | 1 |
