TOPOLOGY OPTIMIZATION DESIGN OF AN ELECTRIC EXCAVATOR FALLING OBJECT PROTECTIVE STRUCTURES
|更新时间:2024-07-05
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TOPOLOGY OPTIMIZATION DESIGN OF AN ELECTRIC EXCAVATOR FALLING OBJECT PROTECTIVE STRUCTURES
Journal of Mechanical Strength Vol. 46, Issue 2, Pages: 388-394(2024)
作者机构:
1. 江苏建筑职业技术学院智能制造学院
2. 同济大学汽车学院
作者简介:
基金信息:
The project supported by the Basic General Scientific Research Program of Higher Education of Jiangsu Province (No.21KJB510038), the New Energy Engineering Equipment Engineering Technology Research and Development Center of Jiangsu Province, and the Science and Technology Program of Xuzhou (No. KC21040).
MA Chao, LU PengCheng, ZHAO YueHe, et al. TOPOLOGY OPTIMIZATION DESIGN OF AN ELECTRIC EXCAVATOR FALLING OBJECT PROTECTIVE STRUCTURES. [J]. Journal of Mechanical Strength , 2024,46(2):388-394.
DOI:
MA Chao, LU PengCheng, ZHAO YueHe, et al. TOPOLOGY OPTIMIZATION DESIGN OF AN ELECTRIC EXCAVATOR FALLING OBJECT PROTECTIVE STRUCTURES. [J]. Journal of Mechanical Strength , 2024,46(2):388-394. DOI: 10.16579/j.issn.1001.9669.2024.02.017.
TOPOLOGY OPTIMIZATION DESIGN OF AN ELECTRIC EXCAVATOR FALLING OBJECT PROTECTIVE STRUCTURES
A new falling object protective structures (FOPS) was designed by a topology optimization method based on the equivalent static load method to improve the safety of the operator of an electric excavator. Firstly
the dynamic and nonlinear crush process is simplified into multiple static and nonlinear deformation processes based on equivalent displacement. Secondly
the dynamic and nonlinear topology optimization was transformed into static and nonlinear topology optimization involving multiple load cases by the weighting coefficient method. The computational cost was saved and the convergence was improved. Finally
a new FOPS based on the topology optimization result was numerically validated based on the GB/T 17771—2010. The results show that the new FOPS can meet the safety regulation without additional protective grill and the total mass of the FOPS is reduced by 49.8 kg which are positive to save the costs of procurement and operating and reduce the fuel consumption.