A rapid prediction method for the stiffness and the machining accuracy evaluation of a parallel kinematic mechanism

This paper innovatively proposes a rapid prediction method for the stiffness the parallel kinematic mechanism (PKM) considering the geometric characteristics of the limb and the external loads with structural mechanics method. And the hybrid PKM named TriMule is taken as an example to demonstrate th...

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Bibliographic Details
Published in:Journal of mechanical science and technology 2023, 37(11), , pp.5965-5978
Main Authors: Shi, Mengrui, Li, Hao, Li, Shipeng, Qin, Xuda, Liu, Haitao
Format: Article
Language:English
Subjects:
Accuracy
Control
Deviation
Dynamical Systems
Engineering
Industrial and Production Engineering
Kinematics
Mechanical Engineering
Optimization
Original Article
Process parameters
Slot milling
Stiffness
Titanium alloys
Titanium base alloys
Vibration
기계공학
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Summary:This paper innovatively proposes a rapid prediction method for the stiffness the parallel kinematic mechanism (PKM) considering the geometric characteristics of the limb and the external loads with structural mechanics method. And the hybrid PKM named TriMule is taken as an example to demonstrate the correctness of the method by milling experiments of titanium alloy. In the slot milling, the deviation between the simulation of this method and experimental results of dimensional accuracy was only 0.21 %, and in the helical milling, the deviation was only 21 %. On this basis, the average stiffness index is proposed to evaluate the machining dimensional accuracy of the PKM, which is maintain at a high level around 10 5 –10 7 . The method proposed in this paper can predict the machining capacity of the PKM and the approximate machining deviation in working space, and provide a basis for the subsequent optimization of the cutting process parameters and working space.
ISSN:1738-494X
1976-3824
DOI:10.1007/s12206-023-1033-1