journal article·2024-10-25Open access

Design and Simulation Study of Structural Parameters of Bionic Cutters for Tea Harvest Imitating Aeolesthes induta Newman

Yuanqiang Luo, Junlin Li, Song He, Weibin Wu

Applied Sciences· Volume 14· Issue 21

Abstract

The cutter of the hand-held tea picker is the key cutting component in the efficient tea harvesting process. In order to solve the problems of large cutting resistance and uneven incision during tea picking, this study fully applied the bionics principle to combine the excellent cutting performance of Aeolesthes induta Newman’s mandibles with the tea cutter, which extracted and fitted the tooth profile structure curve of the upper edge of the Aeolesthes induta Newman’s mandibles. The trapezoidal teeth on the reciprocating cutter of ordinary hand-held tea-picking harvesters were optimized by the fitted curve, and a new tea cutter with the shape of Aeolesthes induta Newman teeth was obtained, which included four kinds of bionic tea-harvesting cutters. The multi-body system software ADAMS 2020 and finite element analysis software ANSYS 2024R1 were used to compare the kinematics, statics and explicit dynamics of cutting properties of the four bionic cutters and common cutters with ordinary trapezoidal teeth and saw teeth. The simulation results showed that the maximum equivalent elastic strain and the maximum cutting force during the cutting operation were reduced by 36.7% and 42.89%, respectively, for the cutting teeth of the bionic tea-harvesting cutter #4 compared with that of the cutter with ordinary trapezoidal teeth. The bionic tea-harvesting cutter designed in this study has better cutting performance than the cutter with traditional cutting teeth, which can effectively reduce the cutting force and improve the flatness and cutting quality of the cutting surface.
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Research context

OpenAlex topics: Soil Mechanics and Vehicle Dynamics · Tree Root and Stability Studies · Forest Biomass Utilization and Management

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

College of Engineering, South China Agricultural University, Guangzhou 510642, China

Funding

2024 Rural Revitalization Strategy Special Funds Provincial Project · Guangdong Province (Shenzhen) Digital and Intelligent Agricultural Service Industrial Park

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