Title of article :
Design and Test Research on Cutting Blade of Corn Harvester Based on Bionic Principle
Author/Authors :
Tian, Kunpeng Nanjing Research Institute for Agricultural Mechanization - Ministry of Agriculture, Nanjing, China , Li, Xianwang Nanjing Research Institute for Agricultural Mechanization - Ministry of Agriculture, Nanjing, China , Zhang, Bin Nanjing Research Institute for Agricultural Mechanization - Ministry of Agriculture, Nanjing, China , Chen, Qiaomin Nanjing Research Institute for Agricultural Mechanization - Ministry of Agriculture, Nanjing, China , Shen, Cheng Nanjing Research Institute for Agricultural Mechanization - Ministry of Agriculture, Nanjing, China , Huang, Jicheng Nanjing Research Institute for Agricultural Mechanization - Ministry of Agriculture, Nanjing, China
Pages :
8
From page :
1
To page :
8
Abstract :
Existing corn harvester cutting blades have problems associated with large cutting resistance, high energy consumption, and poor cut quality. Using bionics principles, a bionic blade was designed by extracting the cutting tooth profile curve of the B. horsfieldi palate. Using a double-blade cutting device testing system, a single stalk cutting performance contrast test for corn stalks obtained at harvest time was carried out. Results show that bionic blades have superior performance, demonstrated by strong cutting ability and good cut quality. Using statistical analysis of two groups of cutting test data, the average cutting force and cutting energy of bionic blades and ordinary blades were obtained as 480.24 N and 551.31 N and 3.91 J and 4.38 J, respectively. Average maximum cutting force and cutting energy consumption for the bionic blade were reduced by 12.89% and 10.73%, respectively. Variance analysis showed that both blade types had a significant effect on maximum cutting energy and cutting energy required to cut a corn stalk. This demonstrates that bionic blades have better cutting force and energy consumption reduction performance than ordinary blades.
Farsi abstract :
فاقد چكيده فارسي
Keywords :
keywords
Journal title :
Applied Bionics and Biomechanics
Serial Year :
2017
Full Text URL :
Record number :
2605136
Link To Document :
بازگشت