Journal cover Journal topic
Mechanical Sciences An open-access journal for theoretical and applied mechanics

Journal metrics

  • IF value: 1.211 IF 1.211
  • IF 5-year<br/> value: 1.705 IF 5-year
    1.705
  • SNIP value: indexed SNIP
    indexed
  • SJR value: indexed SJR
    indexed
  • IPP value: indexed IPP
    indexed
  • h5-index value: 15 h5-index 15
Supported by
Logo Library of Delft University of Technology
Logo NWO
Affiliated to
Logo iftomm
Mech. Sci., 4, 357-369, 2013
http://www.mech-sci.net/4/357/2013/
doi:10.5194/ms-4-357-2013
© Author(s) 2013. This work is distributed
under the Creative Commons Attribution 3.0 License.
Review article
01 Nov 2013
On understanding of design problem formulation for compliant mechanisms through topology optimization
L. Cao1,2, A. Dolovich2, and W. J. Zhang2,* 1Complex and Intelligent Systems Center, East China University of Science and Technology, Shanghai, China
2Mechanical Engineering, University of Saskatchewan, Saskatoon, Canada
*now at: Saskatoon, Canada
Abstract. General problems associated with the design of compliant mechanisms through the topology optimization technique are defined in this paper due to the lack of comprehensive definitions for these problems in the literature. Standard design problems associated with rigid body mechanisms, i.e. function generation, path generation and motion generation, are extended to compliant mechanisms. Functional requirements and the associated 25 formulations in the literature are comprehensively reviewed along with their limitations. Based on whether the output is controlled quantitatively or not, these formulations are categorized into two types: (1) formulations for quantitative design; and (2) formulations for qualitative design. In addition, formulations that aim to solve the point flexure problem are also discussed. Future work is identified based on the discussion of each topic.

Citation: Cao, L., Dolovich, A., and Zhang, W. J.: On understanding of design problem formulation for compliant mechanisms through topology optimization, Mech. Sci., 4, 357-369, doi:10.5194/ms-4-357-2013, 2013.
Publications Copernicus
Download
Share