AZEOPERT: An expert system for the prediction of azeotrope formation - I. Binary azeotropes

Computers and Chemical Engineering

Volumn 21, Issue 1, 1997, Pages 93-111

  Kim, Y J ^a   Simmrock, K H ^b  

^a SunMoon University   (South Korea)

^b TU DORTMUND UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

AZEOTROPES; COMPUTER SIMULATION; HIERARCHICAL SYSTEMS; KNOWLEDGE REPRESENTATION; SYNTHESIS (CHEMICAL); USER INTERFACES; BINARY MIXTURES; CHEMICAL ENGINEERING; DISTILLATION; INFERENCE ENGINES; SEPARATION; SOLVENTS;

BINARY AZEOTROPE FORMATION;

EXPERT SYSTEMS;

EXPLANATION FACILITIES; KNOWLEDGE REPRESENTATION STRATEGY; LEVELS OF KNOWLEDGE ABSTRACTION;

EID: 0030644923     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/0098-1354(95)00249-9     Document Type: Article

References (57)

1. Banares-Alcantara R., A. W. Westerberg, E. I. Ko and M. D. Rychener, DECADE-A HYBRID expert system for catalyst selection - II. Computers Chem. Engng. 12, 923-938 (1988).
2. Belousova O. A., G. B. Lekhova and G. O. Kharlampovich, Azeotropy in binary systems formed by components of the absorption fraction of coal tar. Zh. Prikl. Khim. 54, 1505-1508 (1981).
3. Berg L., Selecting the Agent for Distillation. Chem. Engng. Progr. Vol. 65, No. 9, pp. 52-57, 9 (1969).
4. Berg L., R. H. Ewell and M. Harrison. Azeotropic distillation. Ind. Engng. Chem. 36, 871, 10 (1944).
5. Bieker T. and K. H. Simmrock, Knowledge integrating system for the selection of solvents for extractive and azeotrope distillation. Computers chem. Engng. 18, 25 (1994).
6. Böhringer B., C. Chiopris and I. Futo, Wissensbasierte Systeme mit PROLOG. Addison-Wesley, Bonn (1988).
7. Buchanan B. G., G. L. Sutherland and E. A. Feigenbaum, Heuristic DENDRAL: a program for generating explanatory hypotheses in organic chemistry. Machine Intell. 4, (1969).
8. Denyer R. L., F. A. Fidler and R. A. Lowry, Azeotrope formation between thiols. Hydrocarbons. Ind. Engng. Chem. 41, 2727 (1949).
9. Desty D. H. and F. A. Fidler. Azeotrope formation between sulfur compounds. Hydrocarbons. Ind. Engng. Chem. 43, 905 (1951).
10. Edan T., T. Abraham and B. K. Michael, Explaining characteristic azeotropic behaviour. Chem. Engng. Sci. 36, 759-764 (1980).
11. Eduljee G. H. and K. K. Tiwari, Correlation of azeotropic data. Chem. Engng. Sci. 31, 535 (1976).
12. Erdmann H. H., M. Lauer, M. Passmann, E. Schrank and K. H. Simmrock, Vortrag auf dem GVC-Jahrestreffen 1985, Hamburg (1985).
13. Erdmann H. H., H. D. Engelman, W. Burgard and K. H. Simmrock, The use of expert systems in chemical engineering. Chem. Engng. Proc. 23, 125 (1988).
14. Fredenslund A., R. L. Rasmussen and J. M. Prausnitz, AIChE J. 21, 1086 (1975).
15. Fredenslund A., J. Gmehling and P. Rasmussen, Vapor-liquid equilibria using UNIFAC, Elsevier, Amsterdam (1977).
16. Früchtenicht H. W. et al., Technische Expertensystemen: Wissenrepräsentation und Schlufolgerungsverfahren. Oldenburg (1988).
17. Gmehling, J. and U. Onken, Vapor-Liquid Equilibrium Data Collection. Chemistry Data Series, DECHEMA, Germany (1977).
18. Godfrey O. M., Guide to predicting azeotropes. Hydrocarbon Proc. II, 241, (1975).
19. Guggenheim E. A. et al., Thermodynamics. North-Holland, Amsterdam (1967).
20. Harmon P. and D. King, Expertensysteme in der Praxis. R. Oldenbourg (1989).
21. Hildebrand J. H., J. M. Prausnitz and R. L. Scott, Regular, Related Solutions: Litton Educational Publishing (1970).
22. Horsley L. H., Azeotropic Data - III. Advances in Chemistry Series, No. 116. American Chemical Society, Washington DC (1973).
23. IF/Prolog User's Manual. Interface Computer (1988).
24. Kal'nitskaya A. M., L. F. Komarova and Y. N. Garber, Azeotropic series of aliphatic alcohols with acetate esters. Zh. Prikl. Khim. 50, 1101 (1977).
25. Kelly E. B. THERMODYNAMICIST: an expert system approach to fluid-fluid equilibria. Ph.D. Dissertation, Texas A&M University (1987).
26. Kim Y. J., AZEOPERT: an expert system for the prediction of azeotrope formation. Ph.D. Thesis, Universität Dortmand (1991).
27. Komarov V. M. and Krichevstov, B. K., Liquid-vapor equilibriums in systems formed by aliphatic amines, alcohols, and water. Zh. Prikl. Kihm. (Leningrad) 43 1160-1163 (1970).
28. Konovalov D., Wien, Ann. 14 (34), 219 (1881).
29. Kurtyka Z. M., Azeotropic ranges of some components of petroleum and synthetic gasoline. J. chem. Engng. of Jpn 8, 494 (1975).
30. Kurtyka Z. M., Azeotropies. CRC Handbook of Chemistry and Physics. CRC Press, Boca Raton, Florida (1988).
31. Lecat M., L'Azeotropisme. Brussels (1918).
32. Lieberam A., Expertensysteme für die Verfahrenstechnik. Chem.-Ing.-Tech 58, 9-14 (1986).
33. Malesinski W., Bull. Acad. Polonaise Sci. Cl. III 4, 295, 303, 365, 371 (1956).
34. Malesinski W., Azeotropy, Other Theoretical Problems of Vapor-Liquid Equilibrium. PWN-Polish Scientific Publishers, Warszawa (1965).
35. Markowska-Majewska H., Almost tangent azeotropes formed by mixing naphthalene with m & p-cresol. Bull. Acad. Polon. Sci. Cl. III-II (6) xvii (1954).
36. Marschner R. F. and W. P. Cropper, Hydrocarbon azeotropes of benzene. Ind. Engng. Chem. 38, 262 (1946).
37. Modern Computer Techniques, Their Impact on Chemical Engineering. Monographs Vol. 115, DECHEMA (1989).
38. Moracevski A. G. and I. B. Pukinskij, Azeotropic Systems. Model1. Phasengleichwichten Grundlage Stofftennprozessen, p. 329. Akademie, Berlin (1981).
39. Prausnitz J. M., Molecular Thermodynamics of Fluid-phase Equilibria. Prentice-Hall, Engelwood Cliffs, NJ (1969).
40. Ramesh T. S., S. K. Shum and J. F. Davis, A structured framework for efficient problem solving in diagnostic expert systems. Computers chem. Engng. 12, 891 (1988).
41. Rebon R., Knowledge engineering techniques and tools in the PROSPECTOR environment. Technical Note 243 SRI, Projects 5821, 6415 and 8172, Artifical Intelligence Center, SRI International (June 1981).
42. Roekens E. L., Azeotropic data for the systems formed by representatives of the homologous series of alkanes and alcohols. J. appl. Chem. Biochem. 26, 595 (1976).
43. Sangiovanni J. P. and H. C. Romans, Expert systems in industry: a survey. Chem. Engng. Progr. 83 (1987).
44. Savory P. E., Grandlagen von Expertensystemen. Oldenburg (1988).
45. Seymour K. M., R. H. R. Naylor and T. Northern, An empirical collection among azeotropic data. Ind. Engng. Chem. 16 (1977).
46. Shortliffe E. H., Computer-Based Medical Consultation: MYCIN. American Elsevier, New York (1976).
47. Simmrock K. H., B. Fried and A. Fried, EDV-gestützte wissenbasierte Prozess synthese. Chem.-Ing.-Tech. 62, 1018 (1990).
48. Stephanopoulos G. and M. Mavrovouniotis, Artificial intelligence in chemical engineering. Research, Development Computers chem. Engng. 12, 9/10, pp. v-vi (1988).
49. Swietoslawski W., Bull. Acad., Polon. Sci. 19, 29 (1950).
50. Swietoslawski W., Physikalische Chemie des Steinkohlenteers. N. J. Hoffman, Cologne (1959).
51. Swietoslawski W., Azeotrophy, Polyazeotropy. Pergamon Press - PWN, Warszawa (1963).
52. Tiegs D. et al., Activity Coefficients at Infinite Dilution. DECHEMA, Chemistry Data Series, Vol. IX, Part 1 (1986).
53. Vinnik M. K., A. P. Karavaeva, B. N. Bobylev and M. B. Baryshnikov, Study of azeotropy in binary systems formed by monoethanol amine, paraffin hydrocarbons. Zh. Prikl. Khim., (Leningrad), 53, 2388-2390 (1980).
54. Welker R., Entwicklung eines Expertensystems zur Auswahl destillativer Sonderfahren, Konfigurierung zugehöriger Trennsequenzen für azeotrope, engsiedende Gemische. Ph.D. Dissertation, Universität Dortmund (1990).
55. Yoshimoto T. and Y. I. Mashiko, Studies on Azeotropic Mixtures I. Bull. Chem. Soc. Jpn 29, 990 (1956).
56. Yoshimoto T. and Y. I. Mashiko, Studies on azeotropic mixtures II. Bull Chem. Soc. Jpn 30, 56 (1957).
57. Yoshimoto T., Studies on azeotropic mixtures III. Bull. Chem. Soc. Jpn 30, 505 (1957).