2018
DOI: 10.1007/s40435-018-0403-5
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Cornering characteristics of a truck tire on wet surface using finite element analysis and smoothed-particle hydrodynamics

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Cited by 15 publications
(7 citation statements)
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“…The cornering stiffness depends on many variables of the tire conditions, such as the size, type, and treads [14]. Among all factors, tire inflation pressure and the vertical load become the main factors affecting the cornering stiffness [15]. Tire inflation pressure affects the length of the contact patch with the road and vertical tire stiffness.…”
Section: Simulation Using Matlabmentioning
confidence: 99%
“…The cornering stiffness depends on many variables of the tire conditions, such as the size, type, and treads [14]. Among all factors, tire inflation pressure and the vertical load become the main factors affecting the cornering stiffness [15]. Tire inflation pressure affects the length of the contact patch with the road and vertical tire stiffness.…”
Section: Simulation Using Matlabmentioning
confidence: 99%
“…The artificial viscosity of the SPH particles is combined with the momentum equation in the form of a passive term to enhance the numerical simulation stability. 12 The term π ij which represents the artificial viscosity is introduced into equation (1) as indicated in equation (6). In addition, Monaghan indicated that the artificial viscosity can conserve the total linear and angular momenta 3…”
Section: Fea-sph Tyre–snow Modelmentioning
confidence: 99%
“…The objective of these studies has been considerably focused on precise predictions of the tire lateral force and the self-aligning moment from the tire section at the tire-cornering maneuvers, according to the study of different parameters. In 2018, El-Sayegh et al [5] presented a novel method for predicting the cornering characteristics of truck tires traveling on wet surfaces using Smoothed-Particle Hydrodynamics (SPH). The tire and wet road characteristics were determined using the Finite Element Method (FEM) and validated with experimental data that revealed a good agreement between the simulation and experimental tests using the Pam-Crash software.…”
Section: Introductionmentioning
confidence: 99%