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Optimization Design of Tea Carding Machine Parameters Based on Genetic Algorithms

  • WANG Xiaoyong ,
  • LI Bing ,
  • ZENG Chen ,
  • LI Shangqing
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  • 1. Engineering College, Anhui Agricultural University, Hefei 230031, China;
    2. Tea and food science and Technology College, Anhui Agricultural University, Hefei 230031, China;
    3. State Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, Hefei 230031, China

Received date: 2016-01-27

  Online published: 2019-08-26

Abstract

To reduce noise and vibration in working process, improve transmission performance of the machine and tea processing quality, genetic algorithms and Matlab toolbox were used to establish an optimal mathematical model of the planetary gear mechanism of the tea carding machine. The objective function and constraints were firstly set, the optimal parameters were calculated by matlab genetic algorithm toolbox and then verified by validation tests. The optimization results showed that the minimum transmission angle , working stroke , Polar angle were 71.1°, 122 mm and 3.6°, respectively. When tea carding machine was performed under optimal parameters, the noise decreased by 2 dB and the stripping tea rate increased by 2%. The study has significant importance for improving performance of tea carding machine and extending machine life.

Cite this article

WANG Xiaoyong , LI Bing , ZENG Chen , LI Shangqing . Optimization Design of Tea Carding Machine Parameters Based on Genetic Algorithms[J]. Journal of Tea Science, 2016 , 36(4) : 440 -444 . DOI: 10.13305/j.cnki.jts.2016.04.013

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