Mechanical Engineering Science

Topology optimization design of the main structure of 6-DOF manipulator based on the variable density method

RUIYujian (School of Mechanical Engineering, Anhui Polytechnic University), LIUYongming (School of Mechanical Engineering, Anhui Polytechnic University), ZHANGZhen (School of Mechanical Engineering, Anhui Polytechnic University), TUZhijian (Wuhu Ceprei Robotics Industry Technology Institute Co., Ltd.), WUJian (Wuhu Institute of Technology), WEINeng (Wuhu Ceprei Robotics Industry Technology Institute Co., Ltd.), ZHAOZhuanzhe (School of Mechanical Engineering, Anhui Polytechnic University)

Abstract


In order to solve the problems of too large mass, too complex structure and poor flexibility of the 6-DOF manipulator, the topological optimization theory based on variable density method is applied to the 6-DOF manipulator, the topology optimization of the main structural components of the manipulator is carried out with the help of the finite element software ANSYS, and the optimized structure is simplified according to the density distribution of the units and the requirements of manufacturability, the results are compared and analysed by static mechanics. It shows that the whole mass of the 6-DOF manipulator is reduced by 47.23% without changing the original mechanical properties after topological optimization, and the optimized model can meet the requirements of manufacturability, the optimization effect is significant, which can be used as a reference for the structure optimization of the 6-DOF manipulator.

Keywords


Variable density method; topology optimization; 6-DOF manipulator; finite element analysis

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References


Daniel Y G,Juan C T, 2020. Topology optimization of thermal problems in a nonsmooth variational setting: closed-form optimality criteria. Computational Mechanics: Solids, Materials, Complex Fluids, Fluid-Structure-Interaction, Biological Systems, Micromechanics, Multiscale Mechanics, Additive Manufacturing, 66(2),259-286.

Vrionis P Y,Samouchos K D, 2021. Topology optimization in fluid mechanics using continuous adjoint and the cut-cell method. Computers and Mathematics with Applications(97):286-297.

Noguchi Yuki, Yamada Takayuki, 2021. Level set-based topology optimization for graded acoustic metasurfaces using two-scale homogenization. Finite Elements in Analysis & Design, (1):196.

Seebacher Philipp, Kaltenbacher Manfred, 2021. A pseudo density topology optimization approach in nonlinear electromagnetism applied to a 3D actuator. International Journal of Applied Electromagnetics and Mechanics, 65(3):545-559.

Yuki Sato, Kazuhiro Izui, 2020. Robust topology optimization of optical cloaks under uncertainties in wave number and angle of incident wave. International Journal for Numerical Methods in Engineering, 121(17):3926-3954.

Behrou R, Lotfi Reza, 2021. Revisiting element removal for density-based structural topology optimization with reintroduction by Heaviside projection. Computer Methods in Applied Mechanics and Engineering, 380:113799.

Y S Han, B Xu, 2021. An efficient 137-line MATLAB code for geometrically nonlinear topology optimization using bi-directional evolutionary structural optimization method. Structural and Multidisciplinary Optimization, 63(5):2571-2588.

Kambampati Sandilya,Gray Justin S, 2021. Level set topology optimization of load carrying battery packs. International Journal of Heat and Mass Transfer, (1):177.

Seebacher Philipp, Kaltenbacher Manfred, 2021. A pseudo density topology optimization approach in nonlinear electromagnetism applied to a 3D actuator. International Journal of Applied Electromagnetics and Mechanics, 65(3):545-559.

Yunfei Fu, Rolfe Bernard, 2020. SEMDOT: Smooth-edged material distribution for optimizing topology algorithm. Advances in Engineering Software, 150:1029.




DOI: https://doi.org/10.33142/mes.v4i1.7513

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Copyright (c) 2022 Yujian RUI, Yongming LIU, Zhen ZHANG, Zhijian TU, Jian WU, Neng WEI, Zhuanzhe ZHAO

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