Multidirectional Dynamic Response and Swing Shedding of Grapes: An Experimental and Simulation Investigation under Vibration Excitation

Author:

Zhang Po12,Yan De3,Cai Xiaona2,Chen Youbin2,Luo Lufeng3ORCID,Pan Yaoqiang1,Zou Xiangjun14ORCID

Affiliation:

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

2. Computer and Information Engineering College, Guangdong Polytechnic of Industry and Commerce, Guangzhou 510642, China

3. College of Mechatronics Engineering and Automation, Foshan University, Foshan 528231, China

4. Foshan-Zhongke Innovation Research Institute of Intelligent Agriculture and Robotics, Foshan 528231, China

Abstract

During mechanized table grape harvesting, berries are subjected to vibration and collision, which can cause shedding and damage to the fruit. Research on table grape berry shedding has primarily focused on macroscopic swing modes, which are reflected in the integrated grape cluster structure and idealized particle interactions, as well as static response treatments. However, these approaches are unable to accurately explain the characteristics of berry wobbling during picking, predict shedding-prone areas, or identify factors affecting shedding. In this paper, we study the dynamic response characteristics of grape berries in the X, Y, and Z directions by establishing a dynamic model and combining harmonic response and random vibration characteristics with finite element analysis. Our studies revealed that grape berries exhibit various forms (swinging and rebounding) under the same stimulus during harvesting. The grape berry amplitude in the X, Y, and Z directions were 14.71, 12.46, and 27.10 mm, respectively, with the most obvious response being in the Z direction and the flattest response in the Y direction. Berries in the lower cob system part were relatively stable, while those in the upper right side were more prone to swinging and falling, with areas most likely to fall off concentrated in the upper right side. This system accurately predicted the dynamic response characteristics of fruit during vibration harvesting and provided an ideal basis for mechanized grape harvesting. Optimization and research on fruit collection equipment may benefit from this theoretical basis.

Funder

Research and Application of Key Technologies of Autonomous Work Robots for Complex Environments

National Science Foundation of China under Grant

Research on the Harvesting Mechanism of Wine Grapes based on Visual Navigation

Research on Key Technologies of Picking Robots and Construction of Digital Twin Platform

Dongguan City’s 2021 Provincial Rural Revitalization Strategy Special Project

Guangdong Basic and Applied Basic Research Foundation

Publisher

MDPI AG

Subject

Agronomy and Crop Science

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