Redirigiendo al acceso original de articulo en 19 segundos...
Inicio  /  Agriculture  /  Vol: 13 Par: 9 (2023)  /  Artículo
ARTÍCULO
TITULO

Study on the Influence Mechanism of Energy Consumption of Sugarcane Harvester Extractor by Fluid Simulation and Experiment

Baocheng Zhou    
Shaochun Ma    
Weiqing Li    
Wenzhi Li and Cong Peng    

Resumen

Previous studies on sugarcane harvester extractors have mainly focused on improving harvest quality and reducing the impurity rate and loss rate, which often ignored the issue of high energy consumption. To reduce the energy consumption of the extractor while maintaining the original impurity rate and loss rate stable, firstly, a blade element analysis method with aerodynamic theory was put forward to analyze the stress of the extractor blade, and the energy consumption equation and influencing factors of extraction were obtained. Subsequently, the computational fluid dynamics model of the exhaust extractor was established. Computational fluid dynamics (CFD) and the SST k-? model were used to analyze the mechanism of various influencing factors on the energy consumption and internal flow characteristics of the extractor. The changes in various parameters were analyzed and discussed with respect to the resulting variations in internal pressure, velocity, vortex structure, and lift?drag coefficient of the extractor. A test bench of the extractor was built, and orthogonal tests were carried out with energy consumption, impurity rate, and loss rate as test indicators. Considering the results of the simulation and bench test comprehensively, the combination of a rotational speed of 1450 RPM, a blade number of 3, an installation angle of 25°, and a blade chord length of 200 mm was optimal for the extractor. Finally, a comparative test was carried out between the optimized extractor and the original extractor. The results demonstrated that the energy consumption of the optimized extractor was reduced by 15.49%. The impurity rate decreased by 3.51%, and the loss rate decreased by 12.39% compared to the original extractor. The study can provide a theoretical and experimental basis for designing and optimizing extractor performance.

 Artículos similares

       
 
Shuyan Liu, Xuegeng Chen, Dongyan Huang, Jingli Wang, Xinming Jiang, Xianzhang Meng and Xiaomei Gao    
Soil classification stands as a pivotal aspect in the domain of agricultural practices and environmental research, wielding substantial influence over decisions related to real-time soil management and precision agriculture. Nevertheless, traditional met... ver más
Revista: Agriculture

 
Monika Skowronska, Sebastian Kusmierz and Jacek Walczak    
Carbon and nitrogen compounds in agroecosystems have attracted much attention in recent years due to their key roles in crop production and their impacts on environment quality and/or climate change. Since fertilization profoundly disrupted the C and N c... ver más
Revista: Agriculture

 
Anna Kozielec, Jakub Piecuch, Kamila Daniek and Lidia Luty    
In this article, the impact of the Russia?Ukraine conflict on food security in the Middle East and North Africa (MENA) region is analyzed. With Ukraine being recognized as one of the major global grain producers and exporters, the conflict is seen as pos... ver más
Revista: Agriculture

 
Yihan Chen, Wen Xiang and Minjuan Zhao    
On the basis of data collected from 1208 apple farmers in the provinces of Shaanxi and Gansu, this study utilizes the weighted-frequency method to investigate the priority sequence of farmers? preferences in choosing fertilizer-reduction and efficiency-i... ver más
Revista: Agriculture

 
Jianghua Ye, Qi Zhang, Miao Jia, Yuhua Wang, Ying Zhang, Xiaoli Jia, Xinyu Zheng and Haibin Wang    
Rock zones have an important influence on the yield and quality of Wuyi rock tea. In this study, OPLS-DA combined with machine learning was used to analyze the effects of different rock zones and tea tree varieties on the physicochemical properties of rh... ver más
Revista: Agriculture