Small Sugarcane Harvester Conveying Failure Analysis

DOI

10.2991/eame-18.2018.43How to use a DOI?

Keywords

small sugarcane harvester; conveying failure; queuing theory; virtual simulation

Abstract

The small sugarcane harvester is the main model that it is fitted for hilly areas, but it is vulnerable to conveying failure. To breakthrough the limitation of individual harvester`s structural improvement traditionally, Traditionally structural improvement to the individual harvester is not generally effective to solve it. This paper finds that the relationship between the randomness of the sugarcane growth and the harvester conveying capabilities should be taken into consideration so as to avoid the conveying failure risk of sugarcanes stacking up. Queuing theory is introduced to establish the mathematical model of cane feeding to and conveying through the harvester and the analysis shows that the higher the speed of sugarcane conveying the less possibility there is congestion. Using virtual simulation technology, this paper simulates the process of canes flow feeding into the harvester based on FLEXSIM and finds that increasing conveying speed from 0.8 m/s to 1.6 m/s would lead to the possibility of congestion being reduced from 20.3%to 6.28%.This paper proposes a way to increase the conveying speed of the harvester by minor retrofit without increasing the driving power. Field experiment shows that the congestion rate is getting lower as the conveying speed increases and it is better to keep the conveying speed at least higher than 1.1m/s. Therefore, improving the conveying speed provides a new idea to reduce conveying congestion for the small scale sugarcane harvester.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiao Lai
AU  - Zhiwen Qin
AU  - Peng Yang
AU  - Zhonghua Shen
PY  - 2018/06
DA  - 2018/06
TI  - Small Sugarcane Harvester Conveying Failure Analysis
BT  - Proceedings of the 2018 3rd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2018)
PB  - Atlantis Press
SP  - 206
EP  - 210
SN  - 2352-5401
UR  - https://doi.org/10.2991/eame-18.2018.43
DO  - 10.2991/eame-18.2018.43
ID  - Lai2018/06
ER  -