塑相水田土壤参数对履带式拖拉机行驶性能的影响

doi:10.3785/j.issn.1008-9209.2021.03.151

浙江大学学报（农业与生命科学版）

2022, Vol. 48

Issue (1): 125-134 DOI: 10.3785/j.issn.1008-9209.2021.03.151

农业工程

塑相水田土壤参数对履带式拖拉机行驶性能的影响

曹明(

),龙祖熙(

),王永维(

),潘宇轩,王俊

浙江大学生物系统工程与食品科学学院，杭州 310058

Impact of soil physical properties on the driving performance of a tracked tractor on paddy soils in the plastic state

Ming CAO(

),Zuxi LONG(

),Yongwei WANG(

),Yuxuan PAN,Jun WANG

College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China

全文: PDF(1986 KB) HTML

摘要：

为了探明塑相水田土壤参数、行驶速度对履带式水田拖拉机行驶性能的影响，获得较佳的作业条件，利用多体动力学软件RecurDyn建立了水田土壤力学模型和履带式水田拖拉机物理模型，并以行驶阻力、下陷深度为试验指标，以土壤黏粒含量、含水量、密度以及行驶速度为试验因素，采用四因素五水平二次正交组合方法进行仿真试验。结果表明：行驶阻力与土壤黏粒含量、含水量呈正效应，与土壤密度、行驶速度呈负效应，影响的主次关系为土壤含水量、行驶速度、土壤密度、土壤密度与黏粒含量的交互作用；下陷深度随着土壤含水量增加而增加，随着土壤黏粒含量、密度和行驶速度的增加而降低，影响的主次关系为土壤含水量、密度、黏粒含量以及黏粒含量与含水量交互作用、黏粒含量与行驶速度交互作用、含水量与行驶速度交互作用。总之，本研究建立了履带式水田拖拉机行驶阻力、下陷深度与土壤黏粒含量、含水量、密度以及行驶速度间的关系模型；依据水田土壤黏粒含量、密度等参数，利用该模型能够优化获得行驶阻力最小值时的水田土壤含水量和拖拉机行驶速度。

关键词： 土壤参数; 履带式拖拉机; 行驶速度; 行驶阻力; 下陷深度

Abstract:

To investigate the impact of soil physical properties and driving velocity on the driving performance of a tracked tractor and obtain better operating conditions on paddy soils in the plastic state, a paddy soil mechanical model and a tracked tractor physical model were established using the RecurDyn, a multi-body dynamics software. The method of the quadratic orthogonal rotating combination design of four factors and five levels was applied to determine the impacts of clay content, moisture content, density of soils and driving velocity on the driving resistance and subsidence depth. The modeling results indicated that the driving resistance was positively associated with clay content and moisture content of soils, but negatively associated with soil density and driving velocity. The contribution rates of the factors to the driving resistance from high to low followed the order as soil moisture content, driving velocity, soil density, and soil density combined with soil clay content. The subsidence depth increased with greater soil moisture content but decreased with higher soil clay content, soil density, and driving velocity. The contribution rates of the variables to subsidence depth were ordered as soil moisture content, soil density, soil clay content, clay content combined with moisture content, clay content combined with driving velocity, and moisture content combined with driving velocity. Overall, this study quantifies the relationships among soil clay content, soil moisture content, soil density, driving velocity and driving resistance, subsidence depth of a tracked tractor using the modeling approach; and according to the soil clay content and density, the model can be used to optimize the soil moisture content and driving velocity when the driving resistance is minimum.

Key words: soil physical properties tracked tractors driving velocity driving resistance subsidence depth

收稿日期: 2021-03-15 出版日期: 2022-03-04

CLC:

S 22

基金资助: 国家重点研发计划课题(2016YFD0700601);国家水稻产业技术体系项目(CARS-01-49);浙江大学大北农学科发展和人才培养基金

通讯作者: 王永维 E-mail: wycjlu@163.com;wywzju@zju.edu.cn

作者简介: 曹明（https://orcid.org/0000-0002-1200-6691），E-mail：wycjlu@163.com|曹明（https://orcid.org/0000-0002-1200-6691），E-mail：wycjlu@163.com

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引用本文:

曹明,龙祖熙,王永维,潘宇轩,王俊. 塑相水田土壤参数对履带式拖拉机行驶性能的影响[J]. 浙江大学学报（农业与生命科学版）, 2022, 48(1): 125-134.

Ming CAO,Zuxi LONG,Yongwei WANG,Yuxuan PAN,Jun WANG. Impact of soil physical properties on the driving performance of a tracked tractor on paddy soils in the plastic state. Journal of Zhejiang University (Agriculture and Life Sciences), 2022, 48(1): 125-134.

链接本文:

https://www.zjujournals.com/agr/CN/10.3785/j.issn.1008-9209.2021.03.151 或 https://www.zjujournals.com/agr/CN/Y2022/V48/I1/125

表1 NF802型履带式水田拖拉机主要参数

图1 履带式水田拖拉机-水田土壤耦合仿真试验

表2 试验因素水平编码

表3 试验方案及结果

系数 Coefficient	Y₁行驶阻力 Driving resistance			Y₂下陷深度 Subsidence depth
系数 Coefficient	系数值 Coefficient value	F值 F value	P值 P value	系数值 Coefficient value	F值 F value	P值 P value
$β 0$	1 449.57			71.18
$β 1$	48.79	4.00	0.059 9	－9.70	12.190	0.002 4
$β 2$	184.04	56.94	0.000 1	12.63	20.680	0.000 2
$β 3$	－54.88	5.06	0.036 5	－10.40	14.040	0.001 4
$β 4$	－78.46	10.35	0.004 5	－2.74	0.970	0.336 4
$β 12$	－32.44	1.18	0.291 1	－9.72	8.160	0.010 1
$β 13$	81.19	7.39	0.013 7	1.04	0.094	0.762 2
$β 14$	53.31	3.19	0.090 3	9.64	8.040	0.010 5
$β 23$	－31.69	1.13	0.302 1	－0.42	0.015	0.903 3
$β 24$	－3.56	0.01	0.906 3	9.56	7.890	0.011 2
$β 34$	28.81	0.93	0.346 9	4.24	1.569	0.227 1
模型P值 P value for goodness of fit	＜0.001			＜0.001
R²	0.92			0.89

表4 试验统计分析结果

图2 单因素对响应值的影响

图3 交互因子对行驶阻力的影响

图4 交互因子对下陷深度的影响

表5 不同水田土壤类型优化参数组合

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