Total Vapor Pressure Measurements for 2-Ethoxyethanol with Carbon Tetrachloride, Chloroform, and Dichloromethane at 303.15 K

Pathare, Salil; Bhethanabotla, Venkat R.; Campbell, Scott W.

doi:10.1021/je034153o

Cited by 11 publications

(7 citation statements)

References 12 publications

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“…The resulting critical density which is obtained from equation (6) is q c = 476 kg Á m À3 in excellent agreement with the value q c = 475 kg Á m À3 recently selected by Xiang [45]. In figure 5, the experimental data on the saturated liquid density compiled from Legend: the symbols are: 4, Ganeff and Jungers [24]; N, 5, Mueller and Ignatowski [25]; d, Benoit and Charbonneau [14]; s, Boublik and Aim [26]; , Philippe et al [27]; , Handa et al [28]; h, Khurma et al [29]; È, Srivastava and Smith [30];, García-Sánchez et al [31]; +, Nath [32]; Â, Phatare et al [33]; e, critical point, this work. (b) Deviation plot of vapour pressure of CH 2 Cl 2 as a function of temperature.…”

Section: Liquid Densitymentioning

confidence: 99%

Dichloromethane: Revision and extension of pρT relationships for the liquid

Gonçalves

Costa

Bernardo

et al. 2011

The Journal of Chemical Thermodynamics

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Section: Liquid Densitymentioning

confidence: 99%

Dichloromethane: Revision and extension of pρT relationships for the liquid

Gonçalves

Costa

Bernardo

et al. 2011

The Journal of Chemical Thermodynamics

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“…The apparatus is based on the design of similar equipment described in the literature. 54 The apparatus has three main sections: an equilibration section, a feed section, and a sampling section. The cell was connected to the feed and gas sampling systems using 1/16" OD 316 stainless steel tubing sealed to the chamber using ACE glass Teflon adapters (CAT.…”

Section: Apparatusmentioning

confidence: 99%

Reactive Distillation for Esterification of Bio-based Organic Acids

Fields¹,

Miller²,

Asthana³

et al. 2008

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SECTION TEN-SPEAD MODELING FOR ORGANIC ACID AND ESTERS VAPOR PRESSURE 10.1 Background 10.2 Approaches in SPEAD Modeling 10.2.1. Pair Interaction Sites of Ethyl Lactate Oligomers and Acetals of Glycerols 10.2.2. Approach of Optimizing Secondary-OH and-COO-groups 10.2.3. Mathematical Methodology 10.2.4. The DBCONF routine algorithm 151 10.3. Results of Optimization of the 2 nd-OH and-COO-groups 10.4. Prediction of Psat for Ethyl lactate Oligomers 154 10.4.1. Effect of intramolecular H-bonds in Lactates 10.4.2. A common point for Ethyl Lactate Oligomers 156 10.5. Prediction of P sat for Acetals SECTION ELEVEN-REFERENCES 162 157 Original SOW covered by final report 161 SECTION ONE INTRODUCTION AND LITERATURE BACKGROUND ON ESTERIFICATION AND REACTIVE DISTILLATION 1.1. Introduction Organic esters are gaining increased importance in a number of industrial applications, primarily as solvents to replace petroleum-derived materials, and thus hold promise as a major class of bio-based commodity products. The application of reactive distillation to esterification holds great promise for efficient production, yet is relatively unexplored as a commercial process. The aim of the proposed project was to implement a full complement of scientific and technical tools ranging from fundamental thermodynamic data collection to detailed process economic and market analyses in order to demonstrate the viability of reactive distillation for esters production. The project was conducted by a multi-faceted team with combined expertise in scientific area necessary for the successful outcome of this project. Reactive distillation has gained substantial attention recently in the research and industrial communities, 1-2 because it offers clear advantages over traditional approaches for carrying out equilibrium-limited chemical reactions. Candidate reactions for reactive distillation are characterized by a substantial difference in volatility between reaction products, such that removal of one product by distillation drives the reaction to completion. Reactions are often catalyzed, either by solid catalysts packed within the distillation column or by addition of homogeneous catalysts (acids, bases, metal complexes, etc.) added to the column feed. Esterification of organic acids satisfies the above criterion for consideration as a reaction amenable to reactive distillation. In particular, the formation of alkyl esters, typically formed by reaction of simple alcohols such as methanol, ethanol, etc. with the acid, is attractive, as the ester and water produced as reaction products can usually be separated by distillation. Although this principle is well understood, reactive distillation has not been broadly exploited for esterification because of the typical complexity of the thermodynamics of these systems. An application of reactive distillation which has been demonstrated commercially is Tennessee Eastman's methyl acetate process 3. Upon its implementation; the single reactive distillation column replaced thirteen individual unit operations and ...

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“…; purple triangles, Chylinski et al; magenta right-pointing triangles, Pathare et al. ; forest green cross marks, Lladosa et al; brown plus signs, Cortinovis et al; orange open squares, Rana et al. ; olive asterisks, Reddy et al; red solid squares, this work (STAT6); red solid line, data obtained by the SimCor method (see Section ).…”

Section: Resultsmentioning

confidence: 70%

“…; purple triangles, Chylinski et al; magenta right-pointing triangles, Pathare et al. ; forest green cross marks, Lladosa et al; brown plus signs, Cortinovis et al (partially displayed); orange open squares, Rana et al; olive asterisks, Reddy et al (partially displayed); red solid squares, this work (static); dotted lines, absolute deviations. Data sets represented by filled symbols were used in the SimCor method.…”

Section: Resultsmentioning

confidence: 79%

Vapor Pressures and Thermophysical Properties of Dimethoxymethane, 1,2-Dimethoxyethane, 2-Methoxyethanol, and 2-Ethoxyethanol: Data Reconciliation and Perturbed-Chain Statistical Associating Fluid Theory Modeling

et al. 2021

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As a continuation of our effort to establish reliable thermodynamic data for important industrial solvents, dimethoxymethane (CAS RN: 109-87-5), 1,2-dimethoxyethane (CAS RN: 110-71-4), 2-methoxyethanol (CAS RN: 109-86-4), and 2ethoxyethanol (CAS RN: 110-80-5) were studied. Vapor pressure was measured by ebulliometry for dimethoxymethane and by static method for 1,2-dimethoxyethane, 2-methoxyethanol, and 2ethoxyethanol. Heat capacities in the liquid phase of all four compounds were measured by Tian−Calvet calorimetry in the temperature interval (262−358) K. In the case of dimethoxymethane and 1,2-dimethoxyethane, this interval was shortened because of their volatility. The thermodynamic properties in the ideal gaseous state were calculated using the methods of statistical thermodynamics based on calculated fundamental vibrational frequencies and molecular structure data. Calculated ideal-gas heat capacities and experimental data on vapor pressures, liquid phase heat capacities, and vaporization enthalpies were treated simultaneously to obtain a consistent thermodynamic description.Comparisons with literature values are shown for all measured and derived properties. Furthermore, the developed recommended data were used to identify new molecular parameters for the studied solvents within the PC-SAFT (perturbed-chain statistical associating fluid theory) equation of state and to compare their performance with those published in earlier papers; improved performance of the new parameters was achieved.

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Total Vapor Pressure Measurements for 2-Ethoxyethanol with Carbon Tetrachloride, Chloroform, and Dichloromethane at 303.15 K

Cited by 11 publications

References 12 publications

Dichloromethane: Revision and extension of pρT relationships for the liquid

Dichloromethane: Revision and extension of pρT relationships for the liquid

Reactive Distillation for Esterification of Bio-based Organic Acids

Vapor Pressures and Thermophysical Properties of Dimethoxymethane, 1,2-Dimethoxyethane, 2-Methoxyethanol, and 2-Ethoxyethanol: Data Reconciliation and Perturbed-Chain Statistical Associating Fluid Theory Modeling

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