PREDICTION AND EXPERIMENTAL VALIDATION OF THE FIELD TRACTIVE PERFORMANCE OF A RUBBER TRACK UNIT

被引:12
|
作者
OKELLO, JA
机构
[1] Silsoe Research Institute, Silsoe, Bedford MK45 4HS, Wrest Park
来源
关键词
D O I
10.1006/jaer.1994.1073
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
Satisfactory analysis of the tractive performance parameters (rolling resistance, drawbar pull and tractive efficiency) of agricultural vehicles depends on accurate prediction of the forces between the soil and the wheels or tracks of the vehicle. These parameters are, in turn, determined by the normal and shear stresses at the wheel or track-to-soil interface. In order to predict these parameters accurately, the basic shape of wheel or track-to-soil interaction must be well understood. In this paper, a model using structural analysis technique and an iterative procedure which avoids the need of predetermining the shape of track-to-soil interaction has been successfully applied to predict the normal and shear forces at the interface. The path of each point, determined by the nodal coordinates of small flexible track segments between the road wheels, and the soil deformation at each point are fed into the model. The forces generated at each point on the interface are calculated by the conventional soil-vehicle mechanics techniques. These are then integrated to provide the overall force at the interface. Thus, the method applied to this problem takes account of the fact that the path of a point at the track-to-soil interface depends not only on slip and sinkage but also on the resilience of the track. Predicted tractive performance results obtained by this method were validated by comparing them with the experimental field data obtained using a single wheel tester. The general trend of the coefficient of traction was correctly predicted with absolute errors of about 6·5% (at 20% slip) as compared with the curve fitted to the experimental results. © 1994 Silsoe Research Institute.
引用
收藏
页码:163 / 171
页数:9
相关论文
共 50 条
  • [41] Cooling Performance Prediction for Hydraulic Thermoelectric Radiant Cooling Panels with Experimental Validation
    Kim, Minseong
    Kang, Yong-Kwon
    Joung, Jaewon
    Jeong, Jae-Weon
    SUSTAINABILITY, 2022, 14 (23)
  • [42] Simulation of Tractive Performance of Off-road Tire on Gravel Road by Combined Finite Element-discrete Element Method and Experimental Validation
    Xu W.
    Zeng H.
    Jiang C.
    Kou X.
    Zang M.
    Binggong Xuebao/Acta Armamentarii, 2019, 40 (09): : 1961 - 1968
  • [43] Performance Prediction of Feature-Aided Track-to-Track Association
    Mori, Shozo
    Chang, Kuo-Chu
    Chong, Chee-Yee
    IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2014, 50 (04) : 2593 - 2603
  • [44] Analytical modeling and experimental validation of a recycled rubber material
    Onorii, C.
    Serino, G.
    CONSTITUTIVE MODELS FOR RUBBER V, 2008, : 443 - 449
  • [45] TRACKING PERFORMANCE EVALUATION - PREDICTION OF TRACK PURITY
    MORI, S
    CHANG, KC
    CHONG, CY
    DUNN, KP
    SIGNAL AND DATA PROCESSING OF SMALL TARGETS 1989, 1989, 1096 : 215 - 223
  • [46] Measurement and prediction of vehicle/track interaction performance
    Fröhling, RD
    Ebersöhn, W
    Scheffel, H
    HEAVY VEHICLE SYSTEMS-INTERNATIONAL JOURNAL OF VEHICLE DESIGN, 1999, 6 (1-4): : 190 - 208
  • [47] Measurement and prediction of vehicle/track interaction performance
    Fröhling, R.D.
    Ebersöhn, W.
    Scheffel, H.
    Heavy Vehicle Systems, 1999, 6 (01): : 190 - 208
  • [48] The experimental validation of a numerical model for the prediction of the vibrations in the free field produced by road traffic
    Lombaert, G
    Degrande, G
    JOURNAL OF SOUND AND VIBRATION, 2003, 262 (02) : 309 - 331
  • [49] A general hyperelastic-time model for numerical prediction on rubber relaxation and experimental validation under different environments
    Luo, Robert K.
    POLYMER ENGINEERING AND SCIENCE, 2019, 59 (10): : 2159 - 2168
  • [50] Experimental and Numerical Investigations of Tractive Performance of Off-Road Tires on Gravel Terrain
    Zeng, Haiyang
    Xu, Wei
    Zang, Mengyan
    Yang, Peng
    INTERNATIONAL JOURNAL OF COMPUTATIONAL METHODS, 2020, 17 (08)