吉林大学学报(工学版) ›› 2020, Vol. 50 ›› Issue (2): 739-748.doi: 10.13229/j.cnki.jdxbgxb20191083

• 农业工程·仿生工程 • 上一篇    

青饲玉米收获机械切碎装置参数优化试验

薛钊1,2(),付君1,2(),陈志2,3,王锋德3,韩少平4,任露泉1,2   

  1. 1.吉林大学 工程仿生教育部重点实验室,长春 130022
    2.吉林大学 生物与农业工程学院,长春 130022
    3.中国农业机械化科学研究院,北京 100083
    4.甘肃省机械科学研究院有限责任公司,兰州 730030
  • 收稿日期:2018-11-27 出版日期:2020-03-01 发布日期:2020-03-08
  • 通讯作者: 付君 E-mail:xuezhao18@mails.jlu.edu.cn;fu_jun@jlu.edu.cn
  • 作者简介:薛钊(1995-),男,博士研究生.研究方向:仿生收获技术与装备.E-mail:xuezhao18@mails.jlu.edu.cn
  • 基金资助:
    国家重点研发计划项目(2017YFD0700302);工程仿生教育部重点实验室开放基金项目(K201904)

Optimization experiment on parameters of chopping device of forage maize harvester

Zhao XUE1,2(),Jun FU1,2(),Zhi CHEN2,3,Feng-de WANG3,Shao-ping HAN4,Lu-quan REN1,2   

  1. 1.Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130022, China
    2.College of Biological and Agricultural Engineering, Jilin University, Changchun 130022, China
    3.China Academy of Agricultural Mechanizaiton Sciences, Beijing 100083, China
    4.Gansu Institute of Mechanical Science Co. Ltd. , Lanzhou 730030, China
  • Received:2018-11-27 Online:2020-03-01 Published:2020-03-08
  • Contact: Jun FU E-mail:xuezhao18@mails.jlu.edu.cn;fu_jun@jlu.edu.cn

摘要:

针对青饲玉米收获机械作业能耗大、切碎质量差的问题,利用自制青饲玉米收获机切碎试验台开展作业参数优化试验,分析作业参数对作业能耗和切碎质量的影响规律。以切碎比能耗、标准草长率为主要性能指标,切碎装置转速、喂入速度和喂入倾角为试验因素,设计单因素试验,确定各试验因素的较优水平区间;通过正交试验,建立各因素与指标之间的数学回归模型,探究各因素对指标的影响规律。试验结果表明:切碎比能耗最小时的最优作业参数组合如下:切碎器转速为1 005 r/min,喂入速度为4 m/s,喂入倾角为8.4°;标准草长率达到最高时的最优组合如下:切碎器转速为1 200 r/min,喂入速度为3.5 m/s,喂入倾角为8.5°。综合优化得到影响切碎作业性能的综合最优组合如下:切碎器转速为1 200 r/min,喂入速度为4 m/s,喂入倾角为 8°。田间验证试验表明:切碎比能耗相对误差为5.23%,标准草长率相对误差为3.15%,最优作业参数综合表现良好,且回归模型可靠。

关键词: 农业机械化工程, 青饲玉米, 收获机械, 切碎, 作业参数, 优化试验

Abstract:

Chopping is one of the most important working processes of forage maize harvester. However, high energy consumption and poor mincing quality seriously restrict the effect of chopping process. The specific energy consumption and the standard grass length were directly affected by working parameters of chopping devices. Therefore, working parameters optimization test was carried out on chopping devices of forage maize harvester. The cutter head speed, feeding speed and feeding inclination angle were selected as the test factors. The better levels of the three test factors were obtained by single factor experiment. The better levels of cutter head speed ranged from 1 000 to 1 200 r/min. The better levels of feeding speed ranged from 3 to 4 m/s. The better levels of feeding inclination angle ranged from 8° to 10°. Based on single factor test results, the optimal combination of three test factors and regression model were obtained by orthogonal test. The optimal factor combination for minimum specific energy consumption was cutter head speed 1 005 r/min, feeding speed 4 m/s, feeding angle 8.4°. The optimal factor combination of maximum standard grass rate was the cutter head speed 1 200 r/min, the feeding speed 3.5 m/s, and the feeding angle 8.5°. The optimal factor combination of chopping comprehensive weighted index was the cutter head speed 1 200 r/min, the feeding speed 4 m/s, and the feeding angle 8°. The regression models were verified by field test. The relative error of regression model of specific energy consumption was 5.23%. The relative error of regression model of standard grass rate was 3.15%.The results show that the regression models were reliable.

Key words: agricultural mechanization engineering, forage maize, harvester, chopping, working parameters, optimization experiment

中图分类号: 

  • S225.5

图1

青饲玉米切碎试验台结构图"

表1

单因素试验因素及水平"

水平因素
切碎装置转速x1/(r·min-1)喂入速度x2/(m·s-1)喂入倾角x3/(°)
18002.05
29002.56
31 0003.07
41 1003.58
51 2004.09
64.510
711
812
913

图2

单因素试验结果"

表2

试验因素水平编码表"

水平因素

切碎装置转速

x1/(r·min-1)

喂入速度

x2/(m·s-1)

喂入倾角

x3/(°)

-11 0003.08
01 1003.59
11 2004.010

表3

响应面分析方案及结果"

试验序号试验因素

切碎比能耗

y1/(kW·h·t-1)

标准草长率y2/%
x1x2x3
1-1-107.6191.76
21-108.6295.98
3-1107.3593.90
41107.9195.14
5-10-17.1991.20
610-17.9596.70
7-1017.5993.44
81018.5296.28
90-1-17.6792.36
1001-17.2194.52
110-117.8793.90
120117.4394.08
130008.0494.44
140007.9694.64
150007.9794.62
160007.9794.50
170007.9994.38

表4

二次响应面回归模型方差分析"

方差来源切碎比能耗y1标准草长率y2
FPFP
模型44.13<0.000 1**19.990.000 3**
x1209.70<0.000 1**129.42<0.000 1**
x269.00<0.000 1**9.000.019 9*
x338.120.000 5**5.790.047 0*
x1x27.990.025 5*12.070.010 3*
x1x31.140.321 09.620.017 3*
x2x30.0160.903 55.330.054 3
x123.940.087 50.780.406 7
x2224.120.001 7**5.850.046 2*
x3241.710.000 3**2.000.200 3
失拟项13.020.015 7*32.510.002 9**

图3

交互作用对切碎比能耗的影响"

图4

交互作用对标准草长率的影响"

图5

田间验证试验"

图6

作业参数优化前、后切碎效果对比"

表5

田间验证试验结果"

指标切碎比能耗最优组合标准草长率最优组合切碎作业综合指标最优组合
y1/(kW·h·t-1)

y2/

%

y1/(kW·h·t-1)

y2/

%

y1/(kW·h·t-1)

y2/

%

相对误差/%5.013.323.482.495.233.15
试验值7.5590.28.6394.107.8593.10
预测值7.1993.38.3496.507.4696.13
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