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challengeSubmitted by site admin on Wed, 2010-06-16 16:21.
Objective The objective of this challenge is to test the ability of computer modeling to predict the mutual solubility in liquid-liquid equilibria of water and a glycol ether as a function of temperature. Timeline
June 16, 2010: problem announced
Background Unlike most organic solvents, glycol ethers and glycol diethers exhibit an “inverse solubility” relationship with water. That is, in the range of normal process conditions they become more compatible as they are cooled and are completely miscible below the lower critical solution temperature (LCST). This behavior is typically rationalized in terms of a temperature-dependent balance between hydrophobic and hydrophilic interactions. This balance of interactions in aqueous solutions is of great scientific and practical importance as a key driving force in phenomena like self-assembly and protein folding. Glycol ethers are used in a wide range of product formulations and industrial processes. For example, they are used as solvents and co-solvents in both organic- and water-based formulations for applications such as cleaning solutions, paints, coatings, and inks. A variety of other novel applications have been proposed that take advantage of the inverse solubility behavior. Submitted by site admin on Wed, 2010-02-17 22:43.
Fifth Challenge
The fifth industrial fluid properties simulation challenge
Benchmarks for the fifth industrial fluid properties simulation challenge Submitted by site admin on Wed, 2010-02-17 22:12.
Guidelines
1) Each contestant can consider any or all of the three posed problem
sets (Problems). Each problem consists of several
parts. All parts of a problem must be be completed to qualify as an acceptible
entry. Contestants must register as a participant to enter the contest (Register).
By registering contestants accept these guidelines. Submitted by site admin on Wed, 2010-02-17 22:10.
Problem Set 1. Vapor Liquid EquilibriaPart a) Determine the Px curve for a mixture of dimethyl ether and propylene at -20 °C (253.15 K)with explicit pressures for x=0, 0.2, 0.4, 0.6, 0.8, 1.0 and the pressure at 20 °C (293.15 K) for x=0.5 Part b) Determine the pressure and composition of the azeotropic point for a mixture of nitroethane and propylene glycol monomethyl ether at 80 °C (353.15 K)and at 40 °C (313.15 K), and the bubble point pressure for x=0.2 (nitroethane) and x=0.5 Problem Set 2. Prediction of densityThe task is to determine the density of the following fluids at the specified conditions. Benchmarks are provided for part a, water. Submitted by site admin on Wed, 2010-02-17 22:08.
Submitted by site admin on Wed, 2010-02-17 22:06.
Accurate physical property data is critical in process design, but it can be challenging to obtain reliable information, especially for unusual materials, mixtures, or state points far from ambient conditions. Some data are available in the literature, or can be estimated using empirical correlations base on literature data. Resources exist to aid the experimental evaluation of data at NIST, in the AIChE DIPPR consortium, and at a diminishing number of contract measurement laboratories. But computer simulation holds out great promise in this area. In the future we would hope to build models of sufficient accuracy to confidently predict physical properties, even for materials that had never been studied experimentally. The AIChE meeting in Indianapolis marked the culmination of the “First Industrial Fluids Properties Simulation Challenge” established by a number of industrial companies, and sponsored by the AIChE CoMSEF division, to judge the progress of the computer simulation community towards this lofty goal. The open challenge made at last years meeting, was to predict densities, viscosities, and vapor liquid equilibria for a specified set of industrially relevant organic fluids and mixtures. For comparison, these properties were also evaluated experimentally by teams at Dow Chemical and NIST. At a well attended session on Sunday the “Great Lake Regressors”, a team of researchers from the University of Minnesota, University of Notre Dame, Wayne State University, and SUNY Buffalo, were recognized as the only group able to attempt to prediction of both equilibrium and transport properties using the same approach, and their success in predicting vapor liquid equilibria for mixed systems without fitting to experimental data for the pure components. The champion in the density prediction section was Huai Sun from Aeon Technology in San Diego. The champions in the viscosity prediction for n-nonane/iospropanol mixtures were Marcus Martin and Aidan Thompson from Sandia, and the most accurate prediction of vapor liquid equilibria for mixtures of dimethyl ether/propylene and of nitroethane/propylene glycol was obtained by Andreas Klamt from COSMOLogic GmbH. The organizing committee felt that the competition was successful in providing an assessment of current capabilities, and promoting the development of industrially relevant simulation techniques they plan to repeat the challenge, with different properties and materials, in 2003-2004. Submitted by site admin on Wed, 2010-02-17 21:59.
Problem 3 Summary
Determine the heat of mixing for 2 binary systems at 4 equally spaced compositions
and 2 temperatures (a total of 16 state points).
The first mixture is of a liquid amine and a hydrocarbon
(n-butylamine [CAS # 109-73-9] and n-heptane [CAS #142-82-5])
and the second is of the same liquid amine and water
(n-butylamine [CAS # 109-73-9] and water [CAS # 7732-18-5]). n-butylamineHill formula: C4H11N CAS # 109-73-9
Other names:
Submitted by site admin on Wed, 2010-02-17 21:47.
Problem 2 SummaryDetermine the Henry’s law constants (HLC) of 4 common gases (N2, CO2, CH4, and O2) in one organic solvent (ethanol [CAS # 64-17-5]) at two temperatures (323 and 373 K). EthanolHill formula: C2H6O
Other names:
Submitted by site admin on Wed, 2010-02-17 21:40.
Problem 1 SummaryPart 1-1: Determine the value (and uncertainty) of the vapor pressure
and heat of vaporization of acetone [CAS # 67-64-1] at these temperatures:
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1st place:F. Suhan Baskaya, Neil H. Gray, Z. Nevin Gerek, and J. Richard ElliottChemical Engineering Dept. The University of Akron Akron, OH 44325-3906 |
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2nd place:Marcus G. Martina, Mary J. BiddybaComputational Materials and Molecular Biology Sandia National Laboratories, PO Box 5800, Mail Stop 0310, Albuquerque, NM 87185-0310 bDepartment of Chemical and Biological Engineering University of Wisconsin, 1415 Engineering Drive, Madison, WI 53706 |
Satoru Kuwajima
NanoSimulation Associates, 825-1 Amado-cho, Villa D.E. 201, Hanamigawa-ku, Chiba-shi, Chiba 262-0043, Japan
Xiofeng Li, Chuanjie Wu, Xiaoguang Bao, Huai Sun
School of Chemistry and Chemical Technology, Shanghai Jiao Tong University, Shanghai 200240, China
Y. Boutarda, Ph. Ungerera,b, J.M. Teulerb,
M.G. Ahunbayb, S.F. Sabaterc, J. Perezc, A. Mackiec, E. Bourasseaud
aInstitut Français du Pétrole, 1-4 Avenue de
Bois Préau, 92852 Rueil Malmaison, France
bUniversité de Paris
Sud, Laboratoire de Chimie Physique, UMR CNRS 8000, 91405 Orsay, France
cDepartament d'Engenyeria Quimica, ETSEQ, Universitat Rovira i
Virgili, Avinguda dels Paisos Catalans, 26, 43007 Tarragona, Spain
d Département de Physique Théorique et Appliquée,
Direction des Applications Militaires, Commissariat à l'Energie
Atomique, France