Articles | Volume 13, issue 2
https://doi.org/10.5194/ms-13-725-2022
https://doi.org/10.5194/ms-13-725-2022
Research article
 | 
09 Aug 2022
Research article |  | 09 Aug 2022

Structural optimization of a pipe-climbing robot based on ANSYS

Yi Zheng, Minghua Liu, Baoshun Li, Guoqing Ma, and Maohua Xiao

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Cited articles

Bach, D., Makoto, O., and Makoto, Y.: Sequential mixture of Gaussian processes and saddlepoint approximation for reliability-based design optimization of structures, Struct. Multidiscip. O., 64, 02855, https://doi.org/10.1007/s00158-021-02855-w, 2021. 
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Short summary
In order to improve the structural performance of the out-of-pipe pipe-climbing robot, the out-of-pipe pipe-climbing robot is optimized. The structure and size of the robot was optimized. Static and modal analyses were then performed on key robot components and ANSYS was used for topology optimization. It was found the weight of the optimized frame and clamping arm were respectively reduced by 24 % and 20 %, and the maximum stress was respectively reduced by 46 % and 20 %.