DENSITY AND VISCOSITY CALCULATIONS FOR POLAR SOLUTIONS VIA NEURAL NETWORKS

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概要

• 論文の詳細を見る

• Density and viscosity were measured for solutions of butylamine + ethanol, butylamine + ethanol + water, and butylamine + benzylamine + water over a temperature range of 303.15–323.15 K at atmospheric pressure. Three artificial neural networks were also developed for predicting the density and viscosity of multicomponent polar liquid mixtures with emphasis on aqueous solutions. The connection weights of the networks were determined from binary data. Those trained networks were capable of calculating density to within ±1% for both binary and ternary systems and calculating viscosity generally as good as that from the corresponding-states model of Lee and Wei for aqueous systems.

• 社団法人 化学工学会の論文
• 1994-12-01

著者

• Chen Jui-tang

  Department Of Chemical Engineering National Taiwan Institute Of Technology

• Lee Ming-jer

  Department Of Chemical Engineering National Taiwan Institute Of Technology

• HWANG Shou-Ming

  Department of Chemical Engineering, National Taiwan Institute of Technology

• Hwang Shou-ming

  Department Of Chemical Engineering National Taiwan Institute Of Technology

関連論文

• An Improved Model of Second Virial Coefficients for Polar Fluids and Fluid Mixtures
• CORRESPONDING-STATES MODEL FOR VISCOSITY OF LIQUIDS AND LIQUID MIXTURES
• Kinetics of Catalytic Esterification of Acetic Acid with Amyl Alcohol over Amberlyst 15
• PVT of Fractionation Cuts of Poly (ethylene glycol) and Poly (propylene glycol) from 298 K to 338 K and Pressures up to 30 MPa
• CORRESPONDING-STATES MODEL FOR THERMAL CONDUCTIVITY OF LIQUIDS AND LIQUID MIXTURES
• DENSITY AND VISCOSITY CALCULATIONS FOR POLAR SOLUTIONS VIA NEURAL NETWORKS
• NEW INVARIANT ASYMMETRIC MIXING RULES
• CORRELATION OF k-_ FOR SVE SYSTEMS CONTAINING A SUPERCRITICAL FLUID

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