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Author:

Li, Bowen (Li, Bowen.) | Gao, Guohua (Gao, Guohua.)

Indexed by:

CPCI-S EI

Abstract:

In order to improve the operation effect of sweet potato harvester in China, this paper uses EDEM to analyze the single-factor simulation of the potato soil transport separation mechanism, and analyzes the simulation results by using the collision normal force and transport efficiency of sweet potato as the index parameters. The field experiment was designed to verify, and the test results were consistent with the simulation results, which proved the feasibility of using the discrete element method to simulate the operation process of the potato soil transport separation mechanism. However, the actual operation effect of the common potato soil transport separation mechanism is the result of the joint influence of multiple parameters. Therefore, based on the EDEM-based basic simulation, the collision normal force and the transport efficiency are the optimization objectives, and the orthogonal simulation experiment with interaction is used to optimize the parameters, and two sets of parameter optimization combinations are obtained. Based on the secondary development of EDEM software, the number of bond breaks and the change trend of large soil particles were used as evaluation indexes to simulate the two sets of working parameters, and finally the optimal parameters were obtained. The combination is a bar lift with a line speed of 2.3 m/s, an amplitude of 8 mm, and an inclination of 18 degrees.

Keyword:

rod elevator Sweet potato harvest discrete element method parameter optimization

Author Community:

  • [ 1 ] [Li, Bowen]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing, Peoples R China
  • [ 2 ] [Gao, Guohua]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing, Peoples R China

Reprint Author's Address:

  • [Li, Bowen]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing, Peoples R China

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Source :

2019 2ND WORLD CONFERENCE ON MECHANICAL ENGINEERING AND INTELLIGENT MANUFACTURING (WCMEIM 2019)

Year: 2019

Page: 147-150

Language: English

Cited Count:

WoS CC Cited Count: 1

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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