Pose Reliability-Oriented Accuracy Synthesis: A Framework With Validation on a Five-Axis Hybrid Kinematic Machining Unit.
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| Title: | Pose Reliability-Oriented Accuracy Synthesis: A Framework With Validation on a Five-Axis Hybrid Kinematic Machining Unit. |
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| Authors: | Tang, Tengfei1,2 tengfei@zstu.edu.cn, Wu, Zaiqing1 wzzzq0306@163.com, Shen, Yifeng1 yifengshen2000@163.com, Ye, Wei1 wye@zstu.edu.cn, Zhang, Jun3 zhang_jun@fzu.edu.cn |
| Source: | Journal of Mechanical Design. Mar2026, Vol. 148 Issue 3, p1-14. 14p. |
| Subjects: | Tolerance analysis (Engineering), Parallel kinematic machines, Machining, Manufacturing industries, Optimization algorithms, Fault tolerance (Engineering) |
| Abstract: | This article presents a reliability-oriented accuracy synthesis framework for five-axis hybrid kinematic machining units (HKMUs) that harmonize geometric accuracy, computational efficiency, and manufacturing economy. Current tolerance design methods struggle with the geometric error propagation inherent in parallel-serial HKMUs, which may lead to unreliable pose accuracy. To address this, a trilayer architecture is proposed: (1) a foundational geometric error model employing equivalent joint decomposition and screw theory establishes matrix-form error mappings; (2) a computational layer introduces a dual-criteria pose reliability algorithm (position sphere/orientation cone) accelerated via fourth-moment-maximum-entropy integration, reducing computational load versus Monte Carlo methods; (3) an optimization layer formulates tolerance allocation as a reliability-constrained nonlinear program, solved by a Proportional-Integral-Differential (PID) search algorithm (PSA) to avoid local minima. Validated on a 2PRU&1PRS-2P HKMU ("R", "U", "S", and "P" represent revolute joint, universal joint, spherical joint and actuated prismatic joint, respectively), the framework quantifies the mapping relationships between 9 geometric tolerances and 16 uncompensatable key source errors through the Small Displacement Torsor (SDT) method. Under allowable errors of 0.10 mm (position) and 0.02 deg (orientation), PSA achieves 90% pose reliability--a 203.7% improvement over baseline--while increasing manufacturing costs by only 11.8%. The framework provides a systematic roadmap for designing economically viable, high-reliability HKMUs essential for precision manufacturing. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Mechanical Design is the property of American Society of Mechanical Engineers 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.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 192337314 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Pose Reliability-Oriented Accuracy Synthesis: A Framework With Validation on a Five-Axis Hybrid Kinematic Machining Unit. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Tang%2C+Tengfei%22">Tang, Tengfei</searchLink><relatesTo>1,2</relatesTo><i> tengfei@zstu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Wu%2C+Zaiqing%22">Wu, Zaiqing</searchLink><relatesTo>1</relatesTo><i> wzzzq0306@163.com</i><br /><searchLink fieldCode="AR" term="%22Shen%2C+Yifeng%22">Shen, Yifeng</searchLink><relatesTo>1</relatesTo><i> yifengshen2000@163.com</i><br /><searchLink fieldCode="AR" term="%22Ye%2C+Wei%22">Ye, Wei</searchLink><relatesTo>1</relatesTo><i> wye@zstu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Jun%22">Zhang, Jun</searchLink><relatesTo>3</relatesTo><i> zhang_jun@fzu.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Mechanical+Design%22">Journal of Mechanical Design</searchLink>. Mar2026, Vol. 148 Issue 3, p1-14. 14p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Tolerance+analysis+%28Engineering%29%22">Tolerance analysis (Engineering)</searchLink><br /><searchLink fieldCode="DE" term="%22Parallel+kinematic+machines%22">Parallel kinematic machines</searchLink><br /><searchLink fieldCode="DE" term="%22Machining%22">Machining</searchLink><br /><searchLink fieldCode="DE" term="%22Manufacturing+industries%22">Manufacturing industries</searchLink><br /><searchLink fieldCode="DE" term="%22Optimization+algorithms%22">Optimization algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Fault+tolerance+%28Engineering%29%22">Fault tolerance (Engineering)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This article presents a reliability-oriented accuracy synthesis framework for five-axis hybrid kinematic machining units (HKMUs) that harmonize geometric accuracy, computational efficiency, and manufacturing economy. Current tolerance design methods struggle with the geometric error propagation inherent in parallel-serial HKMUs, which may lead to unreliable pose accuracy. To address this, a trilayer architecture is proposed: (1) a foundational geometric error model employing equivalent joint decomposition and screw theory establishes matrix-form error mappings; (2) a computational layer introduces a dual-criteria pose reliability algorithm (position sphere/orientation cone) accelerated via fourth-moment-maximum-entropy integration, reducing computational load versus Monte Carlo methods; (3) an optimization layer formulates tolerance allocation as a reliability-constrained nonlinear program, solved by a Proportional-Integral-Differential (PID) search algorithm (PSA) to avoid local minima. Validated on a 2PRU&1PRS-2P HKMU ("R", "U", "S", and "P" represent revolute joint, universal joint, spherical joint and actuated prismatic joint, respectively), the framework quantifies the mapping relationships between 9 geometric tolerances and 16 uncompensatable key source errors through the Small Displacement Torsor (SDT) method. Under allowable errors of 0.10 mm (position) and 0.02 deg (orientation), PSA achieves 90% pose reliability--a 203.7% improvement over baseline--while increasing manufacturing costs by only 11.8%. The framework provides a systematic roadmap for designing economically viable, high-reliability HKMUs essential for precision manufacturing. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Mechanical Design is the property of American Society of Mechanical Engineers 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: 10.1115/1.4069403 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 1 Subjects: – SubjectFull: Tolerance analysis (Engineering) Type: general – SubjectFull: Parallel kinematic machines Type: general – SubjectFull: Machining Type: general – SubjectFull: Manufacturing industries Type: general – SubjectFull: Optimization algorithms Type: general – SubjectFull: Fault tolerance (Engineering) Type: general Titles: – TitleFull: Pose Reliability-Oriented Accuracy Synthesis: A Framework With Validation on a Five-Axis Hybrid Kinematic Machining Unit. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Tang, Tengfei – PersonEntity: Name: NameFull: Wu, Zaiqing – PersonEntity: Name: NameFull: Shen, Yifeng – PersonEntity: Name: NameFull: Ye, Wei – PersonEntity: Name: NameFull: Zhang, Jun IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 10500472 Numbering: – Type: volume Value: 148 – Type: issue Value: 3 Titles: – TitleFull: Journal of Mechanical Design Type: main |
| ResultId | 1 |