Genetic-Fuzzy Optimal Design of Straw Crusher Based on Full-Feeding Combine Harvesters

Li Qing Chen; Jia Qi Zhang; Ji Xian Wang

doi:10.4028/www.scientific.net/AMR.152-153.778

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 152-153Genetic-Fuzzy Optimal Design of Straw Crusher...

Genetic-Fuzzy Optimal Design of Straw Crusher Based on Full-Feeding Combine Harvesters

Abstract:

In recent years, with the full-feeding type of the straw chopping device combines the development has been widespread concern and research. The paper designed a straw crusher device and fuzzy genetic optimization design. Firstly, straw crusher device math model was build; secondly, The cutter shaft in the working device axis diameter, internal diameter was set variables; thirdly, combined with the GA and fuzzy optimum design method, straw crusher optimization design model was set up with straw crusher working device quality of the lightest for the objective function. Lastly, Optimization obtained satisfactory operating parameters, and provides a reference in the design of agricultural machinery.

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Periodical:

Advanced Materials Research (Volumes 152-153)

Pages:

778-781

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.152-153.778

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Online since:

October 2010

Authors:

Li Qing Chen, Jia Qi Zhang, Ji Xian Wang

Keywords:

Cutter Shift, Fuzzy Optimization, Genetic Algorithm (GA), Straw Crusher

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References

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