A Neural Network Model is developed for a Kraft digester which is a fundamental stage in the pulp production. A deterministic model is used to describe the main features of the process and will provide the data to ver...
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A Neural Network Model is developed for a Kraft digester which is a fundamental stage in the pulp production. A detenninistic model is used to describe the main features of the process and will provide the data to ver...
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A Neural Network Model is developed for a Kraft digester which is a fundamental stage in the pulp production. A detenninistic model is used to describe the main features of the process and will provide the data to verify the performance of the artificial neural network modeling. The paper shows that the artificial neural network is a good way to represent the process since it gives equivalent results when compared to deterministic model, and it is easier and cheaper to be developed.
This work presents a procedure for the development of soft sensors for the concentration control of a fixed bed catalytic reactor, through the definition of the best setpoints for the temperature profile in the reacto...
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This work presents a procedure for the development of soft sensors for the concentration control of a fixed bed catalytic reactor, through the definition of the best setpoints for the temperature profile in the reactor, obtained through a optimization procedure where the process is represented by a neural network. This procedure is coupled to a multivariable control strategy based on neural networks and it acts on the temperature of the system. The objective is to control the output concentration of the reactor.
Developing fully mechanistic models for bioprocess is expensive and time-consuming. On the other hand, using pure ‘black-box’ approaches can lead to a misuse of available information, because there are aspects of th...
Developing fully mechanistic models for bioprocess is expensive and time-consuming. On the other hand, using pure ‘black-box’ approaches can lead to a misuse of available information, because there are aspects of the process that can be accurately described by simple equations as, for example, mass balances. This work analyses the use of different types of ‘black-box’ and hybrid models to outline the dynamics of a batch beer production. The hybrid models, combine mechanistic equations with ‘black-box’ techniques (reserved only for the unclear parts of the system), in order to achieve an efficient use of the available information. The hybrid models can also be called ‘grey-box’ approaches. To generate the hybrid models, different level of information is introduced into the ‘black-box’ models, allowing for an interesting model performance comparison in the end. Results demonstrate that the ‘black-box’ models present a good performance in the range of process conditions used to develop them. However, the inclusion of mechanistic knowledge into the hybrid models increase the model extrapolative capability. In this work, artificial neural networks (ANN) are used as the main technique for both the ‘black-box’ models and the ‘black-box’ parts in the hybrid models.
作者：
Wang, Shoou-IPatel, Nitin M.Air Products and Chemicals
Inc. Allentown Pa. 18105 Shoou-I Wang:is Manager of Hydrogen and Syngas Section
Process Engineering Air Products & Chemicals Inc. Allentown Pa. He is responsible for high temperature process design activities on hydrogen carbon monoxide ammonia and methanol plants. He is also program manager for research and development in the hydrogen and carbon monoxide areas. He received a BS from Chung-Yuan University and an MS and PhD from Montana State University all in chemical engineering. Nitin M. Patel:is principal process engineer with Air Products & Chemicals
Inc. Allentown Pa. He is responsible for high temperature process design/optimization activities regarding hydrogen carbon monoxide and ammonia plants. He received his BS from University of Baroda and his MS from Georgia Institute of Technology (Georgia Tech) both in chemical engineering.
High energy costs have created a need to revamp existing ammonia plants to reduce the overall energy consumption per unit ton of production. This paper discusses the Air Products and chemicals, Inc. (APCI) NH//3 plant...
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High energy costs have created a need to revamp existing ammonia plants to reduce the overall energy consumption per unit ton of production. This paper discusses the Air Products and chemicals, Inc. (APCI) NH//3 plant bottlenecks and shares some successful experience in revamping to overcome bottlenecks associated with capacity expansion, and overall performance efficiency/reliability improvements.
作者：
BULL, DNDaniel N. Bull
Ph.D. is a consultant in fermentation technology and president of Satori Corporation P.O. Box 1730 Montclair N.J. 07042. (201) 783-9787.REFERENCES Graff G.M. Short H. and Keene J.1983. Gene-splicing methods move from lab to plant. Chem. Eng.90: 22-27.|ISI|Broda P.1979. p. 1-3. Plasmids. W. H. Freeman Oxford and San Francisco.Donoghue D.J. and Sharp P.A.1978. Construction of a hybrid bacteriophage-plasmid recombinant DNA vector. J. Bact.136: 1192-1196.|PubMed|ISI|ChemPort|Bok S.H. Hoppe D. Mueller D.C. and Lee S.E.1983. Improving the production of recombinant DNA proteins through fermentation development. Abstract from 186th ACS Natl. Mtg. Washington D.C. Sept. 1.Maniatis T. Fritsch E.F. and Sam-brook J.1982. p. 88. Molecular Cloning. Cold Spring Harbor Laboratory. Guidelines for research involving recombinant DNA molecules June 1983
Fed. Reg.48: 24556-24581. Modifications of physical containment recommendations for large-scale uses of organisms containing recombinant DNA molecules. 1983. Recomb. DNA Tech. Bull.6: 69-70.Bull D.N. Thoma R.W. and Stinnett T.E.1983. Bioreactors for submerged culture. In:Adv. in Biotechnological Proc. A. Mizrahi and A. L. van Wezel (eds.) 1: 1-30.Schmidli B.L. and Swartz R.W.1982. Design considerations for aseptic fermentation. Presentation at 184th ACS Natl. Mtg. Kanas City MO.Sittig W.1982. The present state of fermentation reactors. J. Chem. Tech. Biotechnol.32: 47-58.|ISI|Strek F.1963. Intl. Chem. Eng.3: 533.Uhl V.W. and Gray J.B.1996. Mixing Theory and Practice Vol. I. Academic Press New York.Peters M.S. and Timmerhaus K.D.1968. p. 542. Plant Design and Economics for Chemical Engineers. McGraw-Hill New York.Dickey D.S. and Hicks R.W. Fundamentals of agitation. Chem. Eng.83: 93-100.Oldshue J.Y.1983. Fluid mixing technology and practice. Chem. Eng.90: 82-108.Kipke K.D.1981. Heat transfer in aerated non-Newtonian fluids. Abstract from 2nd Eur. Cong. Biotech. Eastbourne UK April 5-10.Blakebrough N. McM
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