A method for stiffness analysis of overconstrained parallel robotic mechanisms with Scara motion

•Stiffness modeling involves relatively low computational efforts.•The method can generate stiffness models with high accuracy.•The statically indeterminate problem is avoided solving in stiffness modeling.•Stiffness modeling of limbs is derived based on Castigliano's second theorem.•The propos...

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Bibliographic Details
Published in:Robotics and computer-integrated manufacturing 2018-02, Vol.49, p.426-435
Main Authors: Cao, Wen-ao, Yang, Donghao, Ding, Huafeng
Format: Article
Language:English
Subjects:
Equilibrium equations
Finite element method
Mathematical models
Mechanics
Overconstrained parallel mechanism
Robotics
Scara motion
Static equilibrium
Stiffness analysis
Stiffness index
Stiffness matrix
Strain
Strain energy
Theorems
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Summary:•Stiffness modeling involves relatively low computational efforts.•The method can generate stiffness models with high accuracy.•The statically indeterminate problem is avoided solving in stiffness modeling.•Stiffness modeling of limbs is derived based on Castigliano's second theorem.•The proposed stiffness index has unified dimension and clear physical meaning. This paper presents a general method for analyzing stiffness of overconstrained parallel robotic mechanisms with Scara motion. In the method, the stiffness model of a limb is derived by applying Castigliano's second theorem to strain energy of the limb with a structural decomposition strategy, and the stiffness matrix of a parallel mechanism is established based on stiffness models of limbs and the static equilibrium equation of the moving platform. Comparisons show that the stiffness model obtained from the proposed method is very close to the counterpart obtained from finite element analysis (FEA). In addition, a new index is proposed to evaluate stiffness performance of a parallel mechanism in a given configuration based on strain energy under external unit forces and moments. With this index, the dimensions of a parallel mechanism can be optimized and the path of a given task can be planned to obtain high stiffness.
ISSN:0736-5845
1879-2537
DOI:10.1016/j.rcim.2017.08.014