Results 1 to 10 of about 21,038,751 (199)
Modeling and predicting of the flash point of chemical compounds [PDF]
مجله مدل سازی در مهندسی, 2021 Flash point is one of the most important flammability characteristics of chemical compounds. In the present study, we developed a neural network model for accurate prediction of the flash point of chemical compounds, using the number of hydrogen and ...
hamidreza mirshahvalad +3 more
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South African Journal of Chemical Engineering, 2023 As a novel corrosion inhibitor, ionic liquid has garnered a growing amount of interest. Different electrodes, such as carbon steel, stainless steel, aluminium, copper, magnesium, and others; different electrolytes, such as hydrochloric acid, sulfuric ...
Megawati Zunita +2 more
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A Neural Networks Model for Accurate Prediction of the Flash Point of Chemical Compounds [PDF]
Iranian Journal of Chemistry & Chemical Engineering, 2020 Flashpoint is one of the most important flammability characteristics of chemical compounds. In the present study, we developed a neural network model for accurate prediction of the flashpoint of chemical compounds, using the number of hydrogen and carbon
Hamid Reza Mirshahvalad +3 more
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Engineering Proceedings, 2023 We established a group contribution (GC) parametrization for the heat of formation of organic molecules, but, and this is new, revealed chemical accuracy (1 kcal/mol). Compared to previous approaches which did not achieve this result, we succeeded by (i)
Robert J. Meier
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AppliedChem, 2022 Group contribution (GC) methods to predict thermochemical properties are eminently important to process design. We report on a GC parametrization for the heat of formation of organic molecules exhibiting chemical accuracy, i.e., a maximum 1 kcal/mol (4.2
Robert J. Meier
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Chemical Thermodynamics and Thermal Analysis, 2023 Glass transition temperature (Tg) being a crucial thermal property, linear models for predicting Tg of deep eutectic solvents (DES) are proposed. The group contribution method and genetic algorithm using an experimental dataset of 51 DESs are applied to ...
Sakshi S. Tak, Debashis Kundu
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Prediction of Freezing Point of Jet Fuel Compounds using Group Contribution Method
Chemical Engineering Transactions, 2023 Freezing point (TF) is the temperature at which a liquid substance turns into a solid when cooled and this can be determined experimentally or by modelling. For aviation fuels, the freezing point test is relevant as impeding fuel flow may have disastrous
Makam Mba Michele Raissa +2 more
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Atmosphere, 2021 Benzaldehydes are components of atmospheric aerosol that are poorly represented in current vapour pressure predictive techniques. In this study the solid state (PSsat) and sub-cooled liquid saturation vapour pressures (PLsat) were measured over a range ...
Petroc Shelley +6 more
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ChemEngineering, 2021 Group contribution (GC) methods to predict thermochemical properties are of eminent importance to process design. Compared to previous works, we present an improved group contribution parametrization for the heat of formation of organic molecules ...
Robert J. Meier
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Cetane Number Estimation of Pure Compound using Group Contribution Method
Chemical Engineering Transactions, 2020 Water-in-diesel emulsion, also known as WIDE fuel, is one of the promising alternative fuels for diesel engines due to its positive impact on the performance and combustion characteristics of the engine, while at the same time reducing the emissions of ...
Shah Aznie Ariffin Kashinath +3 more
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