Computer-oriented process engineering : proceedings of COPE-91, Barcelona, Spain, October 14-16, 1991 : 22nd European Symposium of the Working Party on the Use of Computers in Chemical Engineering of the European Federation of Chemical Engineering (EFChE) (449th Event))
著者
書誌事項
Computer-oriented process engineering : proceedings of COPE-91, Barcelona, Spain, October 14-16, 1991 : 22nd European Symposium of the Working Party on the Use of Computers in Chemical Engineering of the European Federation of Chemical Engineering (EFChE) (449th Event))
（Process technology proceedings, 10）
Elsevier, 1991
注記
Includes bibliographical references and index
内容説明・目次
内容説明
The proceedings of COPE-91 represent the continuing effort of both the scientific and industrial community to make known what is new in research and development in the increasingly important interdisciplinary field of computers in chemical engineering. The symposium focussed on the following topics: # Artificial Intelligence in Chemical Engineering # Computer Integrated Process Engineering # Reliability and Risk Assessment # Process Design under Uncertainty # Education and Training in Computer Applications The theoretical and practical aspects of the use of computers in chemical engineering covered in this book should find wide use in libraries and research facilities, and should have a direct impact in the chemical industry, particularly in production automation, utility networks and computer integrated process engineering.
目次
Session 1: Artificial intelligence in chemical engineering . Artificial intelligence in process engineering, 1969 to 1991 and the future: some pertinent questions (J.W. Ponton). Fuzzy match - a parallel inference strategy for process engineering expert systems (Yu Qian and K.M. Lien). Fuzzy quality index for the selection of solvents in liquid-liquid extraction (A. Kraslawski et al.). A chemical reactor selection expert system implementation in an artificial neural network (A.B. Bulsari and H. Saxen). TMS: a knowledge based expert system for thermodynamic model selection and application (J. Moller Nielsen et al.). On-line expert system, an industrial experience (P. Cuille et al.). Intelligent dynamic simulation by automatically generated prolog programs (B. Csukas et al.). Session 2: Flexibility and uncertainty in engineering design . Recent developments in the evaluation and optimization of flexible chemical processes (I.E. Grossmann and D.A. Straub). An analytical approach to uncertainty and risk analysis (A.K. Sunol). Improved strategy in the optimal desing of multiproduct batch plants (M. Graells et al.). Rigorous simulation of multicomponent multisequence batch reactive distillation (J. Albet et al.). A technique to represent the design process of chemical plants (R. Banares-Alcantara). A qualitative model for simulation of the start-up of a distillation column with energy feedback (K.M. Hangos et al.). Semiqualitative and order of magnitude reasoning and optimisation of chemical engineering processes (M. Hurme and M. Jarvelainen). Coupling problems with time-dependent mass balances (H.-J. Bart et al.). Problems in sequential and simultaneous strategies for heat exchanger network synthesis (T. Gundersen et al). Dynamics and controllability of heat exchanger networks (E.A. Wolff et al.). Design modifications for improved controllability of distillation columns (E.W. Jacobsen and S. Skogestad). Detailed dynamic simulation of distillation columns using parallel computers (V. Vasek et al.). Session 3: Computer integrated process engineering . Prospects for computer aided process operations in the process industries (J. Pekny et al.). Efficient integration of simulation and optimization for study of complex chemical processes (J. Perregaard et al.). Optimal scheduling of order-driven batch chemical plants (C. Rapacoulias et al.). An interval-based approach for resource constrained batch process scheduling. Part I: Interval processing framework (M.G. Zentner and G.V. Reklaitis). Crude unit by ORO package: On-line Reconciliation & Optimization (S. Pierucci et al.). Dynamic simulation: a tool for process analysis (S. Zeghal et al.). Following of industrial processes using empirical behaviour models (C. Blanco et al.). Computer simulation and optimization of textile fiber manufacturing process operations (A. Abad et al.). Heat and mechanical power integration. A MILP approach for optimal integration of utility systems (F.M. Marechal and B.
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