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Figure 3d, e show the emission intensity from the graphene emitters and the transient temperature of the center of graphene and the uppermost SiO2 layer beneath the graphene as a function of the thermal conductance g between graphene and the substrate, respectively.
Subsequently, modified ELM, named as partial linear extreme learning machine (PLELM), is developed to estimate the unknown coefficients and undefined function of the thermal model.
A previously published model by one of the authors was used to predict the dendritic spacing as a function of the thermal conditions.
The obtained results provide an accurate baseline for the quantitative study of the martensitic phase transformations as a function of the thermal history in these alloys.
Therefore the model for transverse diffusion for non-crimped fabrics was found to be a function of the thermal properties of the constituent materials, the fibre volume fraction, the degree of filling and the Peclet number.
For the first time, this work investigated, whether these specifications could be reproducibly obtained as a sole function of the thermal history of the biomass feedstock during slow pyrolysis, irrespective of the type and scale of the production unit.
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Here we study, numerically, the effect of the temperature dependence of the dielectric function on the thermal emission of SiC gratings (1D grating, in a first approach), heated at different temperatures.
By linearizing the cost functions of the thermal generating units, the mixed integer linear programming algorithm could be used to solve this optimal problem.
Here A and F are matrices with dimensions (3N−3)×(3N−3) and 6×6, respectively, whose elements are functions of the thermal fluctuations σij and the first and second derivatives of the constraint functions (left side of Equation 4) with respect to angular parameters at the mechanical-equilibrium conformation.
So the functioning of the "thermal sensitivity system" does not seem to be affected but processing speed is lowered.
The optimisation method of the composition was carried out with Simulated Annealing technique with the objective function of maximising the thermal efficiency of the cycle, based on 1 MW of heat source.
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