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A proper dynamic model for temperature, humidity and granule size was achieved.
The aim of the work is to calibrate the model for temperature dependency that has been implemented in CW2D.
Based on data acquired, a numerical interpretative and predictive model for temperature behaviour in surface and shallow layers was developed.
A presumed probability density function (PDF) model for temperature fluctuation is proposed and formulated in this paper.
In this study, a data-based mechanistic model for temperature responses at different positions in both airspace and obstacles was developed.
In this study, a thermodynamic model for temperature- (T) and thickness (h -dependent elastic moduli of polymer th -dependentf(T,h) is delasticd with verification by the reported experimoduli data of polymerrene (PS) thin films.
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Temperature-based model: For temperature-based model, Bristow and Campbell type model can be used: HH_0 = 0.2525 cdot exp left 0.07019Delta Tright) (21).
We develop a macroscopic constitutive model for temperature-dependent visco elastic effects accompanied by curing, which are important phenomena in production processes.
Our work presents a three-scale model for temperature-dependent visco-elastic effects accompanied by curing, which are important phenomena in a resin transfer molding (RTM) process.
Naseri et al. (2005) presented a model for temperatures ranging from 40 to 146 °C.
Some of these models are discussed in this paper, such as the Beggs and Robinson (1975) model for temperatures ranging from 21 to 146 °C and the Elsharkawy and Alikhan (1999) model based on crude oil samples from the Middle East for temperatures ranging from 38 to 150 °C.
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