Review on status and prospects of bionic optimisation design methods for mango-picking machines

ABSTRACT

This study aimed at the current problems of low efficiency and high labour intensity of mango manual picking faced by tropical agricultural regions in China. The research results in the field of mango-picking machines at home and abroad are analysed, and it is proposed to explore the coupling mechanism of mango biological tissue-mechanical trait and establish mango biomechanical model. Based on the biomechanical properties of mangoes, the law of picking motion based on bio-agricultural-mechanical coupling should be revealed to create a coupling model of mango mechanised picking process. An anthropomorphic simulation of the mango-picking process is proposed to obtain a flexible bionic design technology for picking machines adapted to the biomechanical properties of mangoes. To improve the flexibility, stability, and dynamics of mango-picking machines, it is proposed to apply the bionic design technology to optimise the structure of mango-picking machines, thus forming a new method of bionic optimisation design of mango-picking machines. The proposed research provides new ideas for the optimal design of mango-picking equipment.

KEYWORDS:

• Mango-picking machine
• biomechanical performance
• bionic design
• optimisation design
• coupled modelling

Acknowledgments

The work is supported by the Hainan Provincial Natural Science Foundation of China (Grant No. 521RC496).

Disclosure statement

No potential conflict of interest was reported by the author(s).

Author Contributions

Conceptualisation, Shihao Liu; methodology, Shihao Liu; investigation, Xiaoqing Huang. Writing—original draft preparation, Shihao Liu; writing—review and editing, Fei Wang; project administration, Youjun Bai. All authors have read and agreed to the published version of the manuscript.

Data availability

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Additional information

Funding

This work was supported by the Hainan Provincial Natural Science Foundation of China [521RC496].

Notes on contributors

Shihao Liu

Shihao Liu is currently an associate professor at School of Mechanical and Electrical Engineering, Hainan University, Haikou, China. He received his PhD degree from Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2013. His research interests focus bionic design approach.

Fei Wang

Fei Wang is currently a master student at School of Mechanical and Electrical Engineering, Hainan University, Haikou, China. She received her bachelor's degree from Nanhang Jincheng college, Nanjing, China, in 2021. Her research interests focus on bionic design approach.

Xiaoqing Huang

Xiaoqing Huang is currently a master student at School of Mechanical and Electrical Engineering, Hainan University, Haikou, China. She received her bachelor's degree from Jimei University, Xiamen, China, in 2018. Her research interests focus on bionic design approach.

Youjun Bai

Youjun Bai is currently an associate professor at School of Electromechanical and Automotive Engineering, Hainan College of Economics and Business, Haikou, China. He received his Master degree from Hainan University, Haikou, China, in 2015. His research interests focus mechanical design theory.