Tool orientation and path optimisation for error compensation in direct robotic plunge milling

Despite the wide success of serial robots in manufacturing applications, precision machining operations are rare, due to their limited motion accuracy. Direct robotic plunge milling, without using external actuation for axial movements, is yet to be investigated and optimised. In a typical plunging process, kinematic and joint reversal errors of the robot offset the cutting tool from its designated trajectory. Additionally, the low stiffness of a serial robot allows the cutting tool to deflect further and can induce self-excited chatter under the cutting force action. Together, these effects may cause significant dimensional errors in both hole positions and bore profiles. This paper identifies these critical error sources during the robotic plunge milling process and proposes a novel optimisation strategy that combines feedforward motion planning and feedback motion control to minimise the errors. The performance of the optimisation strategy is initially evaluated in airborne plunge milling tests for suppressing movement errors of the tool centre point. Aluminium plunge milling tests are then presented to analyse the suppression of dimensional errors in milled holes. The experimental results show that the proposed strategy significantly improves the machining accuracy in direct robotic plunge milling, reducing manufacturing errors by more than 80%.

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Publication Details

Journal
International Journal of Computer Integrated Manufacturing
Published
2025-06-16
DOI
https://doi.org/10.1080/0951192x.2025.2511107
Citations
1
Primary Topic
Advanced Surface Polishing Techniques
Type
article
Field-Weighted Citation Impact
0.67

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article

Tool orientation and path optimisation for error compensation in direct robotic plunge milling

Patrick Keogh, Runan Zhang, Diogo Stuani Alves, Nicola Y. Bailey et al.
1 citations
International Journal of Computer Integrated Manufacturing
Advanced Surface Polishing Techniques
0.67
article

Tool orientation and path optimisation for error compensation in direct robotic plunge milling

Patrick Keogh, Runan Zhang, Diogo Stuani Alves, Nicola Y. Bailey, Zheng Wang, Samantha Hayward
article en
1 citations

Abstract

Despite the wide success of serial robots in manufacturing applications, precision machining operations are rare, due to their limited motion accuracy. Direct robotic plunge milling, without using external actuation for axial movements, is yet to be investigated and optimised. In a typical plunging process, kinematic and joint reversal errors of the robot offset the cutting tool from its designated trajectory. Additionally, the low stiffness of a serial robot allows the cutting tool to deflect further and can induce self-excited chatter under the cutting force action. Together, these effects may cause significant dimensional errors in both hole positions and bore profiles. This paper identifies these critical error sources during the robotic plunge milling process and proposes a novel optimisation strategy that combines feedforward motion planning and feedback motion control to minimise the errors. The performance of the optimisation strategy is initially evaluated in airborne plunge milling tests for suppressing movement errors of the tool centre point. Aluminium plunge milling tests are then presented to analyse the suppression of dimensional errors in milled holes. The experimental results show that the proposed strategy significantly improves the machining accuracy in direct robotic plunge milling, reducing manufacturing errors by more than 80%.

International Journal of Computer Integrated Manufacturing
King's College London (GB), University of Bath (GB)
Engineering and Physical Sciences Research Council, European Metrology Programme for Innovation and Research
Openalex Percentile: Top 30%
Advanced Surface Polishing Techniques
0.67
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