Analysis and Testing of Pre-Cut Sugarcane Seed Stalk Sawing Performance Parameters

Bin Yan, Haitao Liu, Fengguang He (), Ganran Deng, Shuang Zheng, Zhende Cui, Sili Zhou, Ye Dai, Xilin Wang, Shuangmei Qin, Guojie Li, Ling Li and Bin Li
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Bin Yan: Agricultural Machinery Research Institute, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang 524013, China
Haitao Liu: College of Engineering, Huazhong Agricultural University, Wuhan 430070, China
Fengguang He: Agricultural Machinery Research Institute, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang 524013, China
Ganran Deng: Agricultural Machinery Research Institute, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang 524013, China
Shuang Zheng: Agricultural Machinery Research Institute, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang 524013, China
Zhende Cui: Agricultural Machinery Research Institute, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang 524013, China
Sili Zhou: Agricultural Machinery Research Institute, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang 524013, China
Ye Dai: Agricultural Machinery Research Institute, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang 524013, China
Xilin Wang: Agricultural Machinery Research Institute, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang 524013, China
Shuangmei Qin: Agricultural Machinery Research Institute, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang 524013, China
Guojie Li: Agricultural Machinery Research Institute, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang 524013, China
Ling Li: Agricultural Machinery Research Institute, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang 524013, China
Bin Li: Institute of Facility Agriculture, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China

Agriculture, 2024, vol. 14, issue 6, 1-18

Abstract: Sugarcane is an important economic crop in tropical and subtropical regions. Presawing planting is an important method for achieving automated and precise planting with sugarcane planting machines. The sawing process is a key stage in planting management, affecting not only the germination and survival rates of sugarcane, but also reflecting the mechanical performance of sawing. To reduce the peak sawing force and enhance the sawing surface quality of sugarcane seedlings, this study utilized a central composite experimental design method. Single-factor and multi-factor experiments were conducted with a specially designed sugarcane stalk sawing experimental rig to investigate the impact of factors such as the stalk diameter feeding speed, and sawing speed on the peak sawing force and sawing surface quality. Upon being developed and validated, multivariate mathematical regression models elucidated the relationships among these factors. The experimental results showed that the order of influence of each factor on the peak sawing force was the stalk diameter, feed speed, and sawing speed, while for the sawing surface quality, the sequence was the sawing speed, stalk diameter, and feed speed. Correspondingly, the determination coefficients for the peak sawing force and sawing surface quality prediction models were 0.9708 and 0.9675. With a maximum error of 7.6% for the peak sawing force and an average relative error of 7.1%, and a maximum error of 3.5% for the sawing surface quality and an average relative error of 2.83%, the calculated results from the regression models were in good agreement with the experimental findings. This indicates that the models are capable of quickly and accurately predicting the peak sawing force and sawing surface quality of sugarcane stalks under different conditions. The research findings provide valuable insights for the development and optimization of sugarcane stalk presawing equipment and related experimental studies.

Keywords: sugarcane seed stalks; sawing parameters; peak sawing force; sawing surface quality; response surface method (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: 2024
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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