Compliance induced deformation prediction of parallel kinematic machine

Shakya Bandara; Yan Jin; Mien Van; Dan Sun; Rao Fu; Patrick Curley; Glenn Rutherford; Colm Higgins

doi:10.3233/atde230901

Compliance induced deformation prediction of parallel kinematic machine

Shakya Bandara, Yan Jin, Mien Van, Dan Sun, Rao Fu, Patrick Curley, Glenn Rutherford, Colm Higgins

Research output: Contribution to journal › Article › peer-review

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Abstract

Parallel Kinematic Machines (PKM) demonstrate the capability of adapting to modern, flexible manufacturing systems due to their higher flexibility and improved motion dynamics. Compliance of a machine tool has a significant impact on the performance, which directly contributes to the quality of the machined workpiece. Compliance deformations result in inaccuracies in the geometry of the machined part. Therefore, prediction of compliance deformation helps to determine the geometrical quality. To fill in the knowledge gap, this paper presents a compliance-induced geometrical error prediction method based on a semi-analytical stiffness model.

Original language	English
Pages (from-to)	59-64
Journal	Advances in Transdisciplinary Engineering
Volume	44
DOIs	https://doi.org/10.3233/atde230901
Publication status	Published - 24 Nov 2023

Keywords

PKM
stiffness
geometrical quality

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10.3233/atde230901Licence: CC BY-NC

Compliance induced deformation prediction of parallel kinematic machine
© 2023 The Authors. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0).
Final published version, 1.19 MBLicence: CC BY-NC

Geometrical quality prediction of machining process by parallel kinematic machines through deformation modelling and error compensation
Adhikari Vitharana, V. S. B. (Author), Jin, Y. (Supervisor), Van, M. (Supervisor) & Sun, D. (Supervisor), Dec 2024
Student thesis: Doctoral Thesis › Doctor of Philosophy

Cite this

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abstract = "Parallel Kinematic Machines (PKM) demonstrate the capability of adapting to modern, flexible manufacturing systems due to their higher flexibility and improved motion dynamics. Compliance of a machine tool has a significant impact on the performance, which directly contributes to the quality of the machined workpiece. Compliance deformations result in inaccuracies in the geometry of the machined part. Therefore, prediction of compliance deformation helps to determine the geometrical quality. To fill in the knowledge gap, this paper presents a compliance-induced geometrical error prediction method based on a semi-analytical stiffness model.",

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AU - Jin, Yan

AU - Van, Mien

AU - Sun, Dan

AU - Fu, Rao

AU - Curley, Patrick

AU - Rutherford, Glenn

AU - Higgins, Colm

PY - 2023/11/24

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N2 - Parallel Kinematic Machines (PKM) demonstrate the capability of adapting to modern, flexible manufacturing systems due to their higher flexibility and improved motion dynamics. Compliance of a machine tool has a significant impact on the performance, which directly contributes to the quality of the machined workpiece. Compliance deformations result in inaccuracies in the geometry of the machined part. Therefore, prediction of compliance deformation helps to determine the geometrical quality. To fill in the knowledge gap, this paper presents a compliance-induced geometrical error prediction method based on a semi-analytical stiffness model.

AB - Parallel Kinematic Machines (PKM) demonstrate the capability of adapting to modern, flexible manufacturing systems due to their higher flexibility and improved motion dynamics. Compliance of a machine tool has a significant impact on the performance, which directly contributes to the quality of the machined workpiece. Compliance deformations result in inaccuracies in the geometry of the machined part. Therefore, prediction of compliance deformation helps to determine the geometrical quality. To fill in the knowledge gap, this paper presents a compliance-induced geometrical error prediction method based on a semi-analytical stiffness model.

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Compliance induced deformation prediction of parallel kinematic machine

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Student theses

Geometrical quality prediction of machining process by parallel kinematic machines through deformation modelling and error compensation

Cite this