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A combination of process models and reaction kinetics provides advanced computational tools for the design and optimization of various biomass conversion processes.
In all simulations the saddle point avoidance phenomenon was observed and its extent for different models and reaction conditions is discussed.
The effect of reaction dipping time as well as kinetics study, initial metal ion concentration as well as adsorption isotherm models and reaction temperature as well as thermodynamics parameters were also explored in this study.
While much information has been obtained from experimental techniques, including infra-red spectroscopy and magic angle spinning NMR [2], there is presently a need for models and reaction pathways to aid in their interpretation.
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Since the mechanism function ( fleft( alpha right) ) in Eq. (1) is dependent on the reaction model and reaction mechanism during pyrolysis process, for a simple reaction, ( fleft( alpha right) ) is suggested as fleft( alpha right) = left( {1 - alpha } right)^{n}.
The apparent kinetic model found for the samples was the same, R 2 model, kinetic based in a bidimensional geometric model and reaction in limitrofe phase and cylindrical symmetry.
Both surface reaction controlled shrinking core reaction model and homogeneous reaction model can describe the steam gasification reaction of rice husk char when the temperature is less than 850 °C.
Combining a volume reaction model and front reaction approximation is proposed to simulate the combustion of a large biomass particle.
Since each reaction belongs to a model, the system allows users to restrict reaction queries to currently selected models and examine reactions of only one model or several models at once.
The system was developed based on a hybrid architecture with three layers (modeling, planning and reaction).
Modeling diffusion and reaction in soils, IX, the Backingham Burdine Campbell equation for gas diffusivity in undisturbed soil.
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