Topology optimization of multi-axis force transducer structures based on singular value decomposition

Akihiro Takezawa*, Shinji Nishiwaki, Mitsuru Kitamura, Emilio Carlos Nelli Silva


研究成果: Article査読


Multi-axis force sensors are extensively utilized in engineering fields, for example in automotive development, where 6-axis force transducers are used to measure force components applied to wheels, and as sensors in robotic manipulators. This paper describes a new structural optimization method for multi-axis force sensor structures considering the accuracy of force detection. First, we formulate homogenization design methods (HDM) in which continuous material distributions are assumed using a continuous interpolation function at each node. Next, we clarify the mechanical requirements and design specifications of the sensor structure, using a methodology based on singular value decomposition, and construct objective functions that aim to satisfy given design specifications. The sensitivities of the objective function with respect to the design variables are formulated using eigen values. Based on these formulations, an optimization algorithm is constructed using sequential linear programming (SLP). Finally, we examine the characteristics of the optimization formulations and the generated optimal configurations and confirm the usefulness of our proposed methodology for the optimization of multi-axis force sensor structures.

ジャーナルNihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C
出版ステータスPublished - 2008 10月

ASJC Scopus subject areas

  • 材料力学
  • 機械工学
  • 産業および生産工学


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