Experimental investigation of vehicle mobility using a novel wheel mobility number

Hegazy, S.; Sandu, Corina

doi:10.1016/j.jterra.2013.09.005

Cited by 18 publications

(8 citation statements)

References 3 publications

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“…Three intervals of wheel mobility number are produced in figures 4 -7 the first for the C n [3], The second interval for the N C [1], N CI [2] N R [11] and N m [8] and the third interval in the middle for the B n [6] and C nw [3] wheel mobility numbers. But N HS [12] near the second interval but its behaviour differs than the others in figures 6,7 which can be explained that the effect of subtract the tire deflection from the tire section height affect the wheel mobility numbers. A conclusion from analysing the three interval that, the second interval of wheel numeric; N C [1], N CI [2], N R [11], N m [8] and N HS [12] are most accurate for all numeric numbers.…”

Section: Discussionmentioning

confidence: 79%

“…But N HS [12] near the second interval but its behaviour differs than the others in figures 6,7 which can be explained that the effect of subtract the tire deflection from the tire section height affect the wheel mobility numbers. A conclusion from analysing the three interval that, the second interval of wheel numeric; N C [1], N CI [2], N R [11], N m [8] and N HS [12] are most accurate for all numeric numbers.…”

Section: Discussionmentioning

confidence: 79%

“…WES modelling based on a new wheel mobility number was produced and applied it to tracked vehicles, before highlighting the role of Mean1Maximum Pressure (MMP), At no-go situations, this is the highest computed soil contact pressure [10,11]. A novel wheel mobility number was investigated based on the divided tire diameter by the square root of the difference between tire section height and deflection [12]. This paper investigates the impact of tires geometry parameters on vehicle mobility.…”

Section: Introductionmentioning

confidence: 99%

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Tire mobility numbers and vehicles performance evaluation based on empirical approaches

Hendy

2022

J. Phys.: Conf. Ser.

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The wheel mobility number is a dimension less parameter that has a great and effective influence on prediction the off-road wheeled vehicle’s performance. The wheel mobility number is affected by soil strength, vehicle’s weight, and tires geometry. Different types of published wheel mobility numbers were collected and theoretically investigated to compare their vehicle performance. The major goal of this paper is to investigate the impact of tires parameters on vehicle mobility. For this, the tire geometry was measured using experimental testing at various tires inflation pressures. A theoretical comparison is carried out to the investigate the effect of soil cone index, tire geometry and vehicle weight on mobility numbers. The theoretical results are arranged in three worked zones and the vehicle performance in terms of net traction and tractive efficiency using empirical approaches were predicted. A comparison between predicted results and published results gives a good correlation.

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Section: Discussionmentioning

confidence: 79%

Section: Discussionmentioning

confidence: 79%

Section: Introductionmentioning

confidence: 99%

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Tire mobility numbers and vehicles performance evaluation based on empirical approaches

Hendy

2022

J. Phys.: Conf. Ser.

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“…The research methods of tire/soil interaction mainly include pure-empirical method, semi-empirical method, and numerical simulation. Due to the constraints of the numerical simulation methods, the pure-empirical method, 12–16 using experimental data as the evaluation standard of tire and soil, is widely used in the performance test of tire/soil interaction in the early stage. This method is quite mature, and no detailed mathematical formula is needed.…”

Section: Introductionmentioning

confidence: 99%

Finite element modeling of interaction between non-pneumatic mechanical elastic wheel and soil

Deng

Zhao

Han

et al. 2019

Proceedings of the Institution of Mechanical Engineers, Part D:

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The tire/soil interaction is an important and complex research topic in vehicle-terrain mechanics, which has a great influence on vehicle mobility and soil compaction. The purpose of this work was to develop a detailed nonlinear finite element model for parametric analysis of the interaction between mechanical elastic wheel and the soil. The three-dimensional finite element model of the mechanical elastic wheel, which considers material nonlinearity, geometric nonlinearity, as well as large contact deformation between the mechanical elastic wheel and soil, was developed based on the physical model. The reliability and accuracy of the finite element model were validated by comparing the predicted wheel static loading characteristics in rigid plane with those of experiments. The finite element model of the soil is modeled as a two-layer system and the Extended Drucker–Prager model was used to describe the nature soil properties. The deformation and stress of the soil and mechanical elastic wheel under the static loading condition were studied in detail. Moreover, the effects of the axial load on mechanical elastic wheel/soil interaction were also analyzed. The research results could offer reference for an optimum structural design of a mechanical elastic wheel and a prediction of soil compaction caused by non-pneumatic tires.

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“…3 Many proposed empirical algorithms rely on a dimensionless wheel mobility number. 8 The mobility number is typically made up of tire and soil characteristics, which drive the tire traction models. 2,9,10 Vehicle characteristics not included in the mobility number are historically considered secondary.…”

Section: Introductionmentioning

confidence: 99%

New algorithms for predicting longitudinal motion resistance of wheels on dry sand

Williams

Vahedifard

Mason

et al. 2017

Journal of Defense Modeling & Simulation

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Predicting the resisting forces against a vehicle's wheel during movement in loose sand is critical for optimizing tractive capabilities in desert regions, sand dunes, and beaches. We review existing braked, powered, and towed motion resistance equations and present improved algorithms based on field and laboratory measurements when the cone index is used to define soil strength. The algorithm predictions are compared against measured values available through Database Records for Off-road Vehicle Environments (DROVE), a database of tests conducted with wheeled vehicles. The examination of braked, towed, and powered motion resistance algorithms is considered for loads varying from 0.187 to 4.49 kN, tire diameters from 0.377 to 1.05 m, and soil strengths from 50 to 800 kPa. A simplified motion resistance algorithm was developed for each operation type utilizing a bootstrap technique. Simple relationships using wheel slip and the ratio of the contact pressure to the cone index are shown to provide predictions of motion resistance with accuracy comparable to more complex empirical models.

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Experimental investigation of vehicle mobility using a novel wheel mobility number

Cited by 18 publications

References 3 publications

Tire mobility numbers and vehicles performance evaluation based on empirical approaches

Tire mobility numbers and vehicles performance evaluation based on empirical approaches

Finite element modeling of interaction between non-pneumatic mechanical elastic wheel and soil

New algorithms for predicting longitudinal motion resistance of wheels on dry sand

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