EconPapers    
Economics at your fingertips  
 

Power Consumption Influence Test of Castor Disc-Cutting Device

Teng Wu, Fanting Kong (), Lei Shi, Qing Xie, Yongfei Sun and Changlin Chen
Additional contact information
Teng Wu: Nanjing Research Institute for Agricultural Mechanization, Ministry of Agriculture, Nanjing 210014, China
Fanting Kong: Nanjing Research Institute for Agricultural Mechanization, Ministry of Agriculture, Nanjing 210014, China
Lei Shi: Nanjing Research Institute for Agricultural Mechanization, Ministry of Agriculture, Nanjing 210014, China
Qing Xie: Nanjing Research Institute for Agricultural Mechanization, Ministry of Agriculture, Nanjing 210014, China
Yongfei Sun: Nanjing Research Institute for Agricultural Mechanization, Ministry of Agriculture, Nanjing 210014, China
Changlin Chen: Nanjing Research Institute for Agricultural Mechanization, Ministry of Agriculture, Nanjing 210014, China

Agriculture, 2022, vol. 12, issue 10, 1-14

Abstract: This study theoretically analyzed the cutting process of castor and determined the structural parameters of the key component of the castor disc-cutting device, aiming to obtain the optimal operation parameter combination and reduce the cutting resistance and power consumption during the harvesting process. The effects of the cutting-disc thickness, cutting-disc rotational speed, feeding speed, and edge angle on the cutting power consumption were studied using an orthogonal rotation combination experiment. The response surface method was used to optimize the parameters, and the mathematical relationship model between the cutting power consumption and each factor was established to determine the optimal parameter combination for disc cutting. The simulation results showed that the optimal combination of cutting parameters was cutting-disc thickness of 3 mm, cutting-disc rotational speed of 550 r/min, feeding speed of 0.6 m/s, and edge angle of 20°. Under these conditions, the cutting power consumption was 1.20375 J. The test results were basically consistent with the model prediction results. Therefore, this study provided a theoretical basis and reference for the design and improvement of castor harvesters.

Keywords: agricultural machinery; castor; theoretical analysis; power consumption; parameter 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 (1)

Downloads: (external link)
https://www.mdpi.com/2077-0472/12/10/1535/pdf (application/pdf)
https://www.mdpi.com/2077-0472/12/10/1535/ (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:10:p:1535-:d:923289

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 ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jagris:v:12:y:2022:i:10:p:1535-:d:923289