Wheel Loader Working Device Optimization Design Based on the Sensitivity Analysis

Xing Li; Ya Zhou Chen

doi:10.4028/www.scientific.net/AMR.479-481.1745

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 479-481Wheel Loader Working Device Optimization Design...

Wheel Loader Working Device Optimization Design Based on the Sensitivity Analysis

Abstract:

As designing the loader working device related to multi-variables, multi-objective and it is a non-linear constrained complex optimization problem essentially so using traditional optimization method to design the loader working device is low efficiency. A new method is proposed which combines the sensitivity analysis with the genetic algorithms to reduce the design variables and to improve the optimization efficiency. The optimization mathematical model is established. The key design variables which have greater impact on the loader digging force can be obtained by the sensitivity analysis and then input into genetic algorithms to conduct an optimization. By using this method the result showed that the loader digging force can be increased by 5.9 percent on the premise of meeting the overall performance requirements of the loader.

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Periodical:

Advanced Materials Research (Volumes 479-481)

Pages:

1745-1749

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.479-481.1745

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Online since:

February 2012

Authors:

Xing Li, Ya Zhou Chen

Keywords:

Loader, Optimization, Sensitivity Analysis, Working Device

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References

[1] Zhanmin Yang, Zhiming Wang, Chunqiu Zhang: Wheel Loaders(Chemical Industry Press,China2006). (in Chinese)

Google Scholar

[2] Hongzhong, Huang, Xinsheng Yao, Zhongrong Zhou: Chinese Journal of Mechanical Engineering Vol.39(2003), p.97. (in Chinese)

Google Scholar

[3] Shuangxia Pan, Huibin Liu, Peien Feng: Journal of Tongji University Vol.29(2001), p.1499.(in Chinese)

Google Scholar

[4] Xiaoyun Wang, Dan luo: Mining & Processing Equipment Vol.38(2010), p.43.(in Chinese)

Google Scholar

[5] Min Yang, Junjie Huang, Hao Wang, Kunyang Kuang: Jornal of Heifei University of Technology Vol.7(2001),p.993. (in Chinese)

Google Scholar

[6] Lei Guo,Hui Zhang, Peiqing Ye:J Tsinghua University(Sci&Tech) Vol.51(2011),p.846. (in Chinese)

Google Scholar

[7] Mingzhi Mao, Yonggang Xiong, Jianping Tan: Joural of Mechanical Transmission Vol.24(2000),p.24. (in Chinese)

Google Scholar

[8] Lunjun Chen:Genetic Algorithm in Mechanical Optimization(China Mechine Press,China2005). (in Chinese)

Google Scholar