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Development and integration of an equation-solving program for engineering thermodynamics courses

Computer Applications in engineering Education 1993年第3期1卷 265-265页

作者： Klein, S.A. Mechanical Engineering Department University of Wisconsin-Madison 53706 Dr. S. A. Klein:is a professor of Mechanical Engineering at University of Wisconsin-Madison. His engineering degrees (BS University of Illinois-Chicago MS PhD University of Wisconsin-Madison) were obtained in Chemical Engineering. Professor Klein is a member of the Solar Energy Laboratory at Wisconsin. He is the developer of the F-Chart method for sizing solar heating systems and the TRNSYS simulation program which is widely used in simulations of solar processes. Currently Professor Klein is involved in research on solar energy system performance absorption power cycles finite-time thermodynamics applications adsorption processes for air conditioning and air quality control and alternative refrigerants and systems for refrigeration and air conditioning applications. Professor Klein is also involved in the development of engineering computer tools for both instruction and research. In addition to the EES program described in this paper he is the primary author of the thermodynamics instructional program CP/Thermo and the finite element program FEHT.

Thermodynamics problems can be separated into conceptual and mathematical parts. The conceptual part consists of the problem formulation and analysis. The mathematical part seeks to obtain an answer to a problem by solving the equations identified in the analysis. The mathematical part can be complex and time-consuming and often directs the students' focus away from the concepts. An equation solving program called engineering Equation Solver (EES) was developed to reduce the time and effort required by students to solve the mathematical part of thermodynamics problems. EES differs from existing equation solving programs in that it is designed for use by students and it includes an extensive library of built-in functions for thermodynamic and transport properties of fluids. Thermodynamic and transport property data needed for solving engineering problems (eg, steam tables, refrigerant properties, psychrometric and combustion gas data) are built into the program. By eliminating table lookups and algebra, EES allows students to concentrate on engineering fundamentals, as well as to do more complex design problems.

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MPSA abstracts

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Journal of Protein Chemistry 1994年第5期13卷 515-543页

作者： Aminlari, Mahmoud Asquith, Thomas Sarlo, Katherine Bailey, Jerome M. Tu, Oanh Issai, Gilbert Ha, Alice Shively, John E. Bell, Alexander W. Baur, Nicole C. Bergeron, John J. M. Ou, Wei -Jia Thomas, David Y. Cianflone, Katherine Baldo, Allain Hincke, Maxwell T. Momparler, Richard L. Laliberté, Josée Thomson, David M. P. Sutherland, M. Besada, Vladimir Gonzalez, Javier Padron, Gabriel Garay, Hilda Reyes, Osvaldo Takao, Toshifumi Shimonishi, Yasutsugu Bischoff, Rainer Roecklin, Dominique Bouchon, Bernadette Klarskov, Klaus Van Dorsselaer, Alain Brake, Patricia G. Pacitti, Anne Higgins, Terry Stevis, Panos Malinowski, John McElhiney, Sue Huang, Janes Vestal, Christine Buckel, Scott D. Stevenson, Tracy Loo, Joseph A. Caffrey, Martin Wang, Jin Wallace, Carmichael J. A. Clark-Lewis, Ian Carraway, C. A. Carothers Huang, J. Li, Y. Juang, S. -H. Gallo, A. Mayer, B. J. Carraway, K. L. Coleman, Patrick L. Sarpong, Daniel Deerfield, David W. Holland-Minkley, Amanda Hempel, John D. Nicholas, Hugh B. Denslow, Nancy D. Folmar, Leroy C. Sullivan, Craig V. Dixon, James D. Mark, Jonathan P. Elicone, Christopher P. Maleknia, Simin D. McGuinness, Brian F. Regnier, Fred E. Afeyan, Noubar B. Dolence, Julia M. Poulter, C. Dale Egorov, Tsezi Musolyamov, Alexander Popineau, Yves Andersen, Jens Roepstorff, Peter Falkenstein, Roberto J. Biscoglio de Jiménez Bonino, Mirtha J. Peña, Clara Gauggel, D. L. Asquith, T. N. Isfort, R. J. Miller, N. S. Cody, D. B. Giblin, Michael F. Wong, Tuck C. Quinn, Thomas P. Grant, Gregory A. Crankshaw, Mark W. Griffith, Scott Schroeder, Steve Quinn, Thomas Guinet, F. Petillot, Y. Chapsal, J. M. Dubayle, J. Greco, F. Barge, O. Forest, E. Valentin, C. Hahn, Frederick M Baker, Jonathan A. Haniu, Mitsuru Kenney, William C. Rohde, Michael F. Harman, James G. Lee, Eun Ju Glasgow, Joel Lew, Sew Fen Belduz, Ali O. Harris, Reed J. Molony, Michael S. Keyt, Lene H. Wu, Shiaw -Lin Hawke, David H. Tso, Jaqueline Early, Sherrell Miller, Chad G. Hayman, G. Thomas Miernyk, Jan A. Hellman, Ulf Wernstedt, Christer Góñez, Jorge H Department of Biochemistry School of Veterinary Medicine Shiraz University Shiraz Iran Corporate Professional & Regulatory Services/Human Safety Dept. The Procter & Gamble Co. Cincinnati Division of Immunology Beckman Research Institute of the City of Hope Duarte Protein Analytic Facility Sheldon Biotechnology Centre USA McGill University Montreal Department of Anatomy USA Biotechnology Research Institute NRC Canada Division of Cardiology Royal Victoria Hospital USA Department of Anatomy University of Ottawa Faculty of Health Science Ottawa Centre de Recherche Pediatrique Hôpital Ste-Justine Université de Montréal Montreal Department of Immunology Montreal General Hospital USA Center for Genetic Engineering & Biotechnology Cuba Institute for Protein Research Osaka University Osaka Japan Protein Analytical Group TRANSGENE S.A. Strasbourg Cedex France Vakgroep Biochemie Fysiologie en Microbiologie Gent Belgium Laborat. de Spectrométrie de Masse Bioorganique URA 31 CNRS Université Louis Pasteur Strasbourg Cedex France Sterling winthrop Inc. Collegeville Lexin Pharmaceutical Corporation Horsham PerSeptive Biosystems Houston Parke-Davis Pharmaceutical Research Division of Warner Lambert Company Ann Arbor Dept. of Chemistry The Ohio State University Columbus USA Dept. of Biochemistry Dalhousie University Halifax Canada Biomedical Research Center University of British Columbia Vancouver Canada Dept. of Biochem. & Molec. Biol. Univ. of Miami Sch. of Medicine Miami The Rockefeller Institute New York Dept. of Cell Biol. & Anat. Univ. of Miami Sch. of Medicine Miami Biosciences Laboratory 3M Co. St. Paul Pittsburgh Supercomputing Center Pittsburgh Department of Molecular Genetics/Biochemistry University of Pittsburgh Pittsburgh Dept. Biochem. and Mol. Biol. University of Florida Gainesville U.S. Environmental Protection Agency Gulf Breeze Dept. Zoology North Carolina State University Raleigh PerSeptive Biosystems Inc. Cambridge Department of Chemistry Univ

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NEURAL-NETWORK APPROACH TO SENSOR DESIGN

NEURAL-NETWORK APPROACH TO SENSOR DESIGN

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IEEE 1992 ULTRASONIC SYMP

作者： LEC, RM MUSAVI, MT PENDSE, HP AHMED, W Department of Electrical Engineering Industrial Process Control Sensor Systems(IPCoSS) Program University of Maine Orono 04469 United States Department of Chemical Engineering Industrial Process Control Sensor Systems(IPCoSS) Program University of Maine Orono 04469 United States

ISBN: (纸本)0780305620

One of the important tasks in sensor design is the development of a model for a sensing phenomena. Artificial neural networks are ideal for such a task because of their capability for representation of the mapping functions describing the processes and phenomena which are mathematically difficult or even intractable. We examined a radial basis function (RBF) neural network for modeling of acoustical properties of colloidal TiO₂ slurry. The colloidal slurry is a very complex multiphase medium. The RBF network with a set of local Gaussian functions was trained using the data from the earlier developed physical model of TiO₂ slurry. Next the TiO₂ neural model was used for a prediction of the TiO₂ particle size distribution. The resulting prediction accuracies of the RBF network was 99.8% for the data used in the training process and 88% for the data not used in the training. Compared to other available techniques neural networks can offer an effective and time efficient approach for the modeling of complex materials. © 1992 IEEE.

关键词： Titanium dioxide

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Digital PID controller tuning using prefiltered ARX estimation

Digital PID controller tuning using prefiltered ARX estimati...

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IEEE Conference on Decision and control

作者： D.E. Rivera S.V. Gaikwad Department of Chemical Bio and Materials Engineering and Control Systems Engineering Laboratory Computer-Integrated Manufacturing Systems Research Center Arizona State University Tempe AZ USA

The use of prefiltered ARX (autoregressive with exogenous input) estimation to obtain reduced-order models that satisfy the Prett-Garcia (1988) digital PID (proportional plus integral plus derivative) tuning rules is described. The design of the prefilter is performed systematically using the engineer's desired control requirements and the setpoint/disturbance characteristics of the problem. The benefits of this method are shown for a fourth-order system.< >

关键词： Three-term control Digital control Reduced order systems Design engineering systems engineering and theory control systems

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Modeling for control Design in Combined Feedback/Feedforward control

Modeling for Control Design in Combined Feedback/Feedforward...

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American control Conference (ACC)

作者： Daniel E. Rivera Sujit V. Gaikwad Department of Chemical Bio and Materials Engineering and Control Systems Engineering Laboratory Computer-Integrated Manufacturing Systems Research Center Arizona State University Tempe AZ USA

This paper presents control-relevant parameter estimation as a means to address the problem of modeling requirements for a combined feedback-feedforward control system. The key element in the estimation procedure is prefiltering of the input and output time series obtained from the plant. This insures that the estimated model retains those plant characteristics that are most significant with regards to the user's control requirements. An example model reduction problem is presented which uses the IMC design procedure to design a reduced-order feedback-feedforward control system. Its performance is compared to both full-order IMC and model-predictive control via DMC.

关键词： control design control system synthesis Parameter estimation Linear feedback control systems control systems Design engineering systems engineering and theory Process control Transfer functions Predictive models

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A Frequency Domain Based Dynamic Simulation Package for Continuous Distillation Units

A Frequency Domain Based Dynamic Simulation Package for Cont...

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American control Conference (ACC)

作者： P. S. V. Nataraj Ch. Durgaprasada Rao Systems & Control Group Department of Electrical Engineering Indian Institute of Technology Bombay India Department of Chemical Engineering Indian Institute of Technology Chennai India

A digital simulation package for dynamic simulation of continuous distillation units. in the frequency domain, is presented. The package is based on a rigorous dynamic model that can account for all dynamic phenomena known to be important for control studies. Two industrial scale problems are taken up to demonstrate the developed software: a fictitious but representative 64 tray deisobutanizer and an actual 91 tray ethane-ethylene splitter. Simulation results reveal the power of the package in computing a wide variety of frequency responses with sufficient accuracy.

关键词： Frequency domain analysis Packaging Computational modeling Software packages Equations Digital simulation Feeds Fluid flow chemical technology Computer industry

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Robustness and Identification Issues in Horizon Predictive control With Application to a Binary Distillation Column

Robustness and Identification Issues in Horizon Predictive C...

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American control Conference (ACC)

作者： D.E. Rivera K.S. Jun E. Elisante V.E. Sater B. C. Horn Department of Chemical Bio and Materials Engineering and Control Systems Engineering Laboratory Computer-Integrated Manufacturing Systems Research Center Arizona State University Tempe AZ USA Honeywell Industrial Automation and Control Phoenix AZ USA

This paper analyzes the robustness properties and modeling requirements for model-predictive control via Horizon Predictive control (HPC). The theory of Structured Singular Values is used to determine optimal values for the correction horizon in HPC given user-provided uncertainty intervals and performance weights. Regarding system identification, control-relevant identification principles are used to provide guidelines for input signal design, prefiltered estimation, and uncertainty modeling. These results are tested experimentally using data from a methanol-isopropanol distillation column.

关键词： Robust control Predictive control Distillation equipment Predictive models Uncertainty System identification control system synthesis Guidelines Signal design Testing

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ALL SITES CANNOT BE CLEAN

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GROUND WATER MONITORING AND REMEDIATION 1992年第3期12卷 91-93页

作者： NYER, EK HATLER, D Evan K. Nyer is an expert in the research and application of technology to ground water cleanups. As vice president with Geraghty & Miller Inc. (14497 N. Dale Mabry Hwy. Ste. 115 Tampa FL 33618) he is responsible for engineering services including hazardous and solid waste management environmental and natural resource management remediation activities and designing treatment systems for contaminated sites throughout the United States and in foreign countries. He has designed more than 100 ground water treatment systems. He is a member of the Water Pollution Control Federation the National Ground Water Association the American Institute of Chemical Engineers and the American Society of Civil Engineers. Douglas Hatler's expertise is in soil and ground water remediation and storm water permitting. He has a B.S. in environmental science from Cook College Rutgers University and is working on an M.S. in environmental engineering at the New Jersey Institute of Technology. Hatler is also a Certified Hazardous Materials Manager.

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An Analysis of the Impact on controlled Variables Selection on the Operation of Anaerobic Digestion Processes

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IFAC Proceedings Volumes 1992年第2期25卷 65-70页

作者： M. Perrier D. Dochain Systems and Control Division Pulp and Paper Research Institute of Canada 570 St. John’s Blvd. Pointe-Claire Québec Canada H9R 3J9 Department of Chemical Engineering École Polytechnique de Montréal P.o. Box 6079 Station ‘A’ Montréal Québec Canada H3C 3A7

Different adaptive nonlinear controller designs are evaluated for the operation of the anaerobic digestion process. The selected controlled variables are the chemical Oxygen Demand (COD), propionate concentration, and dissolved hydrogen concentration. The manipulated variable is the dilution rate. Because the nonlinear control algorithms are designed based on the mass balance equations, distinct assumptions have to be made depending on the choice of the controlled variable. Although the obtained responses are model-specific, the methodology presented can be readily applied to an actual lab scale or industrial scale bioreactor. The study of the time response of the volatile fatty acids and dissolved hydrogen concentration, and of the methane flowrate obtained by controlling one variable at a time reveals the intrinsic behaviour of the balances between the assumed bacterial species and can be useful to investigate for instance the inhibition induced by a given product present in the reactor. The developed methodology demonstrates the usefulness of advanced control techniques to get a better understanding of the process under study even if the controller designs are based on incomplete knowledge.

关键词： Anaerobic Digestion Adaptive control Nonlinear systems

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DAMAGE control - THE LAST LINE OF SHIPBOARD DEFENSE

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NAVAL ENGINEERS JOURNAL 1992年第1期104卷 63-79页

作者： HERMAN, S LOESER, CT Stanley Hermanis the acting director of the Ship Survivability Subgroup (Sea 55X) at the Naval Sea Systems Command. He received a BSME from Northeastern University in 1966 and a MSME from Northeastern in 1970. In 1978 he completed requirements for a Certificate in Acoustics at Catholic University and in 1989 he completed the Program Management Course at the Department of Defense Systems Management College. He is a registered professional engineer in Washington D.C. a certified NavSea Material Professional and a member of ASME ASE and SNAME. Mr. Herman began his career with the Navy Department immediately after high school working as a student trainee (marine engineer) at the Boston Naval Shipyard until 1966. Upon obtaining his BSME he served as a project engineer in the Noise Shock and Vibration Group at the Boston Naval Shipyard and was responsible for conducting and directing shipyard and at-sea testing and evaluation of components systems and structure for surface combatant and auxiliary naval craft. In 1974 he transferred to the Naval Sea Systems Command where he was the coordinator of survivability and detection for the SSBN Trident submarine acquisition project manager PMS 396. He was responsible for directing efforts to enhance the acoustical silencing underwater explosion shock protection and shipboard vibration control for this latest class of strategic missile submarines. From 1982 to 1986 Mr. Herman was assigned as head of the Submarine Protection branch Sea 55X11 where he was responsible for directing submarine shock hardening programs. From 1986 to 1991 he served as division director for damage control Systems Safety Personnel Protection and CBR Defense Sea 55X2. In 1991 he assumed his present position of acting director Ship Survivability Subgroup Sea 55X. Christopher T. Loeseris currently acting director of the Damage Control and Ship Design Systems Safety Division at the Naval Sea Systems Command. The division is responsible for lifecycle management of damage control chemical

This paper addresses the ship, system and equipment design features, operational doctrine and training that has been developed to provide effective shipboard damage control. Both the ship and the sailor are addressed, since both are integral and interdependent components of the damage control "system." Also, the enhancements afforded to protection of personnel from the effects of conventional and nonconventional weapons are discussed. Finally, a brief look into the future is presented. With the shrinking defense budget and corresponding reduction in fleet size and ship manning, novel system designs and automated decision aids will be required to do the job.

关键词： Naval Vessels

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