Tire thermal characterization: Test procedure and model parameters evaluation

Allouis, Christophe Gerard
Farroni, F.
Sakhnevych, A.
Timpone, F.
The TRT model, developed to accurately reproduce the tire thermal dynamics in all the vehicle working conditions, has to be physically characterized [1][2]. An appropriate non-destructive procedure, that allows to obtain the thermal diffusivity of completely different tire layers, is described. The heat is directly supplied on the tire tread surface trough a specifically powered laser, while two thermal cameras acquire temperatures reached on both the outer and the inner layers. Using the above instrumentation layout to acquire the tire radial and circumferential temperature gradients and a specifically developed mathematical TRTLab model based on the use of Fourier's equation of diffusion applied to a three dimensional domain, allows to estimate the tire thermal diffusivity.


Shape optimization of wheeled excavator lower chassis
Özbayramoğlu, Erkal; Söylemez, Eres; Department of Mechanical Engineering (2008)
The aim of this study is to perform the shape optimization of the lower chassis of the wheeled excavator. A computer program is designed to generate parametric Finite Element Analysis (FEA) of the structure by using the commercial program, MSC. Marc-Mentat. The model parameters are generated in the Microsoft Excel platform and the analysis data is collected by the Python based computer codes. The previously developed software Smart Designer [5], which performs the shape optimization of an excavator boom by ...
Tire Radii Estimation Using a Marginalized Particle Filter
Lundquist, Christian; Karlsson, Rickard; Özkan, Emre; Gustafsson, Fredrik (2014-04-01)
In this paper, the measurements of individual wheel speeds and the absolute position from a global positioning system are used for high-precision estimation of vehicle tire radii. The radii deviation from its nominal value is modeled as a Gaussian random variable and included as noise components in a simple vehicle motion model. The novelty lies in a Bayesian approach to estimate online both the state vector and the parameters representing the process noise statistics using a marginalized particle filter (M...
Prediction of automobile tire cornering force characteristics by finite element modeling and analysis
Tönük, Ergin; Ünlüsoy, Yavuz Samim (2001-05-01)
In this study, a detailed finite element model of a radial automobile tire is constructed for the prediction of cornering force characteristics during the design stage. The nonlinear stress-strain relationship of rubber as well as a linear elastic approximation, reinforcement, large displacements, and frictional ground contact are modeled. Validity of various simplifications is checked. The cornering force characteristics obtained by the finite element tire model are verified on the experimental setup const...
Özgüven, Hasan Nevzat (1988-03-22)
With increased demand for high speed machinery, the mathematical modelling of the dynamic analysis of gears has gained importance. Numerous mathematical models have been developed for different purposes in the past three decades. In this paper the mathematical models used in gear dynamics are discussed and a general classification of these models is made. First, the basic characteristics of each class of dynamic models along with the objectives and different parameters considered in modeling are discussed. ...
Helicopter lobed nozzle optimization with differential evolution method
Bayat, Akay; Perçin, Mustafa; Department of Aerospace Engineering (2021-2-11)
The main purpose of this study is to develop a methodology for the optimization of an ejector system geometry that is used for the helicopter engine bay cooling. The performance of an ejector system is directly related to the entrainment ratio, which is the ratio of the secondary flow rate to the primary flow rate, and the turbine exit backpressure. In the literature, it is observed that the nozzle geometry used in the ejector system has a significant effect on the performance and that the most efficient ge...
Citation Formats
C. G. Allouis, F. Farroni, A. Sakhnevych, and F. Timpone, “Tire thermal characterization: Test procedure and model parameters evaluation,” London, İngiltere, 2016, vol. 2224, Accessed: 00, 2021. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84994218020&origin=inward.