Optimization of Material for Key Components and Parameters of Peanut Sheller Based on Hertz Theory and Box–Behnken Design

Jiannan Wang, Huanxiong Xie, Zhichao Hu, Minji Liu, Jinyi Peng, Qishuo Ding, Baoliang Peng and Chenbin Ma
Additional contact information
Jiannan Wang: College of Engineering, Nanjing Agricultural University, Nanjing 210000, China
Huanxiong Xie: Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China
Zhichao Hu: Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China
Minji Liu: Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China
Jinyi Peng: College of Engineering, Nanjing Agricultural University, Nanjing 210000, China
Qishuo Ding: College of Engineering, Nanjing Agricultural University, Nanjing 210000, China
Baoliang Peng: Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China
Chenbin Ma: College of Engineering, Nanjing Agricultural University, Nanjing 210000, China

Agriculture, 2022, vol. 12, issue 2, 1-17

Abstract: Poor shelling quality degrades the performance and profit of the peanut industry. The Hertz theory and the wear resistance experimental method were applied to identify a highly wear-resistant material guaranteeing a low mechanical damage rate (MDR) of peanut kernels. The Box–Behnken design method was applied in the experiment to illustrate the influence of the material’s elastic modulus ( X 1 ), radius of curvature of the key parts ( X 2 ), rotating speed of the shelling drum ( X 3 ), and clearance between the shelling drum and concave screen ( X 4 ) on MDR and shelling efficiency (SE). Depending on the analysis of variance, the weights of the influential factors were observed as X 1 > X 3 > X 4 > X 2 . The mathematical models of MDR and SE were derived from the least squares’ method, and four-dimensional slice diagrams of the three most significant factors were used to illustrate the trends of MDR and SE. A multi-objective analysis provided the optimal combination of parameters as: X 1 = 10 MPa, X 2 = 12.77 mm, X 3 = 277.48 r/min, and X 4 = 24.24 mm, yielding MDR = 4.89% and SE = 97.91%. The results were further verified by a production trial test, proving that the proposed solution with the selected material, machine design, and working parameters were effective in improving peanut shelling quality.

Keywords: peanut shelling; shelling quality; mechanical damage rate; shelling efficiency; multi-objective optimization (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
https://www.mdpi.com/2077-0472/12/2/146/pdf (application/pdf)
https://www.mdpi.com/2077-0472/12/2/146/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jagris:v:12:y:2022:i:2:p:146-:d:730424

Access Statistics for this article

Agriculture is currently edited by Ms. Leda Xuan

More articles in Agriculture from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().