Multi-objective optimization of stiffness and workspace for a parallel kinematic machine



This paper presents optimizations of a parallel kinematic manipulator used for a machine tool in terms of its workspace and stiffness. The system stiffness and workspace of the parallel manipulator are conducted in the paper. In order to locate the maximum system stiffness and workspace, single and multi-objective optimizations are performed in terms of rotation angles in x and y axes and translation displacement in z axis with genetic algorithms. By optimizing the design variables including geometric dimensions of the manipulator, the system stiffness and workspace of the proposed parallel kinematic manipulator has been greatly improved.


Parallel kinematic manipulator Multi-objective optimization Genetic Algorithms Stiffness Workspace 



The authors would like to acknowledge the financial support from the Natural Sciences and Engineering Research Council of Canada (NSERC). The authors gratefully acknowledge the financial support from Canada Research Chairs Program.


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Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  1. 1.Faculty of Engineering and Applied ScienceUniversity of Ontario Institute of TechnologyOshawaCanada
  2. 2.School of Mechanical and Automotive EngineeringHefei University of TechnologyHefeiChina

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