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Journal of Tea Science ›› 2016, Vol. 36 ›› Issue (4): 440-444.doi: 10.13305/j.cnki.jts.2016.04.013

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Optimization Design of Tea Carding Machine Parameters Based on Genetic Algorithms

WANG Xiaoyong1,3, LI Bing1,3,*, ZENG Chen1,3, LI Shangqing2,3   

  1. 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:2016-01-27 Online:2016-08-15 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.

Key words: tea carding machine, genetic algorithms, optimum design

CLC Number: