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Numerical models for solid oxide fuel cells (SOFCs) are needed in system modeling studies of fuel cell-based power generation systems.
However, models for solid waste have seldom been studied and need to be studied further.
Following the development by Newton of his basic laws of physics, many mathematicians and physicists applied these laws to obtain mathematical models for solid and fluid mechanics.
This paper presents new steady-state and dynamic models for solid oxide fuel cells (SOFCs) using core vector regression (CVR).
By studying intermediate devolatilization processes during solid fuel pyrolysis, detailed models for solid fuel conversion can be formulated.
Simple models for solid deposition damage were applied to generate morphology-evolving processes for a given network.
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We propose an efficient and accurate parametric finite element method (PFEM) for solving sharp-interface continuum models for solid-state dewetting of thin films with anisotropic surface energies.
Consequently, a series of analytical models for solid-state transformation, where a particle undergoes 1-scale blocking, k-scale blocking and infinite-scale blocking, were developed.
We fashion a nonlinear integral model, which belongs to the class of quasi-linear viscoelastic models, for solid-like materials, which upon linearization reduces to a linear viscoelastic model.
Raw and pre-treated sludge depicted non-Newtonian and pseudoplastic behavior with 85%97%% confidence of fit into Bingham, Casson, Power and IPC paste models for solids concentration ranging from 15 g L−1 to 35 g L−1.
Nevertheless, our petrological model is limited by the available thermodynamic data and activity models for solid-solutions, and deviations from experiments might also arise from unconstrained oxygen fugacity and different starting composition.
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