Study on the Bionic Design and Cutting Performance of Alfalfa Cutters Based on the Maxillary Mouthparts of Longicorn Beetles

Author:

Ma Jingyi1,Wu Kun12,Gao Ang1,Du Yonghui1,Song Yuepeng13ORCID,Ren Longlong13

Affiliation:

1. College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai’an 271018, China

2. Department of Traffic Engineering, Shandong Transport Vocational College, Weifang 261206, China

3. Key Laboratory of Horticultural Machinery and Equipment of Shandong Province, Tai’an 271018, China

Abstract

Inspired by the maxillary mouthparts of longicorn beetles, four types of bionic cutters were designed in this research to address the prevalent issues of high cutting resistance and severe stubble damage encountered during alfalfa harvesting. Finite element simulation was utilized to assess the structural integrity and cutting performance of these bionic cutters. Additionally, bench tests were conducted on a homemade stem-cutting force measurement and control rig to evaluate their effectiveness. The results indicated: (1) the bionic cutters achieved a reduction in maximum equivalent force ranging from 20.9% to 49.2% and a decrease in maximum deformation from 31.4% to 64.1% compared to conventional cutters; (2) the maximum cutting resistance of alfalfa stems was reduced by 28.6%, 43.9%, 52.4%, and 38.6%, significantly enhancing the flatness of the cut surfaces; (3) orthogonal bench tests demonstrated that the type of cutter and the slip-cutting angle significantly influenced the maximum cutting resistance of the stems (p < 0.01), with the optimal configuration being bionic cutter c, a slip-cutting angle of 10°, and a rotational speed of 2600 rpm. In conclusion, bionic cutters demonstrate substantial advantages in reducing maximum cutting resistance and improving the flatness of alfalfa stubble, suggesting their potential for widespread application and adoption.

Funder

Natural Science Foundation project of Shandong Province

Innovation Team Fund for Fruit Industry of Modern Agricultural Technology System in Shandong Province

Shandong Natural Science Foundation

Publisher

MDPI AG

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