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基于仿生原理的玉米收获机切割刀片设计与试验研究

Design and Test Research on Cutting Blade of Corn Harvester Based on Bionic Principle.

作者信息

Tian Kunpeng, Li Xianwang, Zhang Bin, Chen Qiaomin, Shen Cheng, Huang Jicheng

机构信息

Nanjing Research Institute for Agricultural Mechanization, Ministry of Agriculture, Nanjing 210014, China.

出版信息

Appl Bionics Biomech. 2017;2017:6953786. doi: 10.1155/2017/6953786. Epub 2017 Oct 22.

DOI:10.1155/2017/6953786
PMID:29200815
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5672115/
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 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.

摘要

现有的玉米收割机切割刀片存在切割阻力大、能耗高、切割质量差等问题。利用仿生原理,通过提取上颚的切割齿廓曲线设计了一种仿生刀片。利用双刀片切割装置测试系统,对收获时获得的玉米秸秆进行了单茎切割性能对比试验。结果表明,仿生刀片具有优越的性能,表现为切割能力强、切割质量好。通过对两组切割试验数据进行统计分析,得出仿生刀片和普通刀片的平均切割力和切割能量分别为480.24 N和551.31 N、3.91 J和4.38 J。仿生刀片的平均最大切割力和切割能量消耗分别降低了12.89%和10.73%。方差分析表明,两种刀片类型对切割玉米秸秆所需的最大切割能量和切割能量均有显著影响。这表明仿生刀片比普通刀片具有更好的切割力和降低能耗性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee91/5672115/f07e3d548585/ABB2017-6953786.009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee91/5672115/e9e619c8b5c4/ABB2017-6953786.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee91/5672115/846095abd334/ABB2017-6953786.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee91/5672115/c6252b4b47dd/ABB2017-6953786.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee91/5672115/53eeb49522d3/ABB2017-6953786.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee91/5672115/783bf6c3e46d/ABB2017-6953786.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee91/5672115/129b7c1ac6cb/ABB2017-6953786.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee91/5672115/d35467e6e718/ABB2017-6953786.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee91/5672115/7ea54b9cab6e/ABB2017-6953786.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee91/5672115/f07e3d548585/ABB2017-6953786.009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee91/5672115/e9e619c8b5c4/ABB2017-6953786.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee91/5672115/846095abd334/ABB2017-6953786.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee91/5672115/c6252b4b47dd/ABB2017-6953786.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee91/5672115/53eeb49522d3/ABB2017-6953786.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee91/5672115/783bf6c3e46d/ABB2017-6953786.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee91/5672115/129b7c1ac6cb/ABB2017-6953786.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee91/5672115/d35467e6e718/ABB2017-6953786.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee91/5672115/7ea54b9cab6e/ABB2017-6953786.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee91/5672115/f07e3d548585/ABB2017-6953786.009.jpg

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