Relevant bibliographies by topics / Expert systems (Computer science) – Industrial applications

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Expert systems (Computer science) – Industrial applications'

Author: Grafiati
Published: 4 June 2021
Last updated: 29 January 2023

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Journal articles on the topic "Expert systems (Computer science) – Industrial applications"

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Rosenman, Michael A., John S. Gero, Peter J. Hutchinson, and Rivka Oxman. "Expert systems applications in computer-aided design." Computer-Aided Design 18, no. 10 (December 1986): 546–51. http://dx.doi.org/10.1016/0010-4485(86)90043-6.

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Rosenman, Michael A., John S. Gero, Peter J. Hutchinson, and Rivka Oxman. "Expert systems applications in computer-aided design." Computer-Aided Design 18, no. 7 (September 1986): 392–93. http://dx.doi.org/10.1016/0010-4485(86)90248-4.

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Stevenson, T. H., D. A. Plath, and C. M. Bush. "Using expert systems in industrial marketing." ISA Transactions 30, no. 3 (January 1991): 81–86. http://dx.doi.org/10.1016/0019-0578(91)90029-5.

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Furuta, Hitoshi, King-Sun Tu, and James T. P. Yao. "Structural engineering applications of expert systems." Computer-Aided Design 17, no. 9 (November 1985): 410–19. http://dx.doi.org/10.1016/0010-4485(85)90288-x.

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BASU, ANUPAM, ARUN K. MAJUMDAR, and SATYABROTO SINHA. "Design of industrial regulators using expert systems approach." International Journal of Systems Science 22, no. 3 (March 1991): 551–77. http://dx.doi.org/10.1080/00207729108910633.

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Fedderwitz, Walter, and Thies Wittig. "Real-Time Expert Systems for Industrial Control." Integrated Computer-Aided Engineering 2, no. 3 (July 1, 1995): 187–202. http://dx.doi.org/10.3233/ica-1995-2303.

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Cardeñosa, J., F. Alonso, J. Castellanos, and J. Garcia. "The application of deep models in industrial expert systems." Expert Systems with Applications 2, no. 2-3 (January 1991): 187–94. http://dx.doi.org/10.1016/0957-4174(91)90115-u.

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Kathawala, Yunus. "Expert Systems: Implications for Operations Management." Industrial Management & Data Systems 90, no. 6 (June 1, 1990): 12–16. http://dx.doi.org/10.1108/02635579010004161.

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Several examples of successful expert systems applications are presented. Examples of expert systems as applied in process planning, operations planning, inventory control, process design, quality control and scheduling are covered, and the performance of these expert systems is described. Expert systems will become an essential part of computer‐integrated manufacturing (CIM) and flexible manufacturing systems (FMS) because they can perform several of the tasks mentioned above.
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Ruttkay, Z. "Expert systems in computer-aided design." Computer-Aided Design 21, no. 9 (November 1989): 596. http://dx.doi.org/10.1016/0010-4485(89)90022-5.

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Rao, Mohan P., and David M. Miller. "Expert systems applications for productivity analysis." Industrial Management & Data Systems 104, no. 9 (December 2004): 776–85. http://dx.doi.org/10.1108/02635570410567766.

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Dissertations / Theses on the topic "Expert systems (Computer science) – Industrial applications"

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Van, Niekerk Theo. "Monitoring a diagnosis for control of an intelligent machining process." Thesis, Port Elizabeth Technikon, 2001. http://hdl.handle.net/10948/70.

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A multi-level modular control scheme to realize integrated process monitoring, diagnosis and control for intelligent machining is proposed and implemented. PC-based hardware architecture to manipulate machining process cutting parameters, using a PMAC interface card as well as sensing processes performance parameters through sampling, and processing by means of DSP interface cards is presented. Controller hardware, to interface the PC-based PMAC interface card to a machining process for the direct control of speed, feed and depth of cut, is described. Sensors to directly measure on-line process performance parameters, including cutting forces, cutting sound, tool-workpiece vibration, cutting temperature and spindle current are described. The indirect measurement of performance parameter surface roughness and tool wear monitoring, through the use of NF sensor fusion modeling, is described and verified. An object based software architecture, with corresponding user interfaces (using Microsoft Visual C++ Foundation Classes and implemented C++ classes for sending motion control commands to the PMAC and receiving processed on-line sensor data from the DSP) is explained. The software structure indicates all the components necessary for integrating the monitoring, diagnosis and control scheme. C-based software code executed on the DSP for real-time sampling, filtering and FFT processing of sensor signals, is explained. Making use of experimental data and regression analysis, analytical relationships between cutting parameters (independent) and each of the performance parameters (dependent) are obtained and used to simulate the machining process. A fuzzy relation that contains values determined from statistical data (indicating the strength of connection between the independent and dependent variables) is proposed. The fuzzy relation forms the basis of a diagnostic scheme that is able to intelligently determine which independent variable to change when a machining performance parameter exceeds control limits. The intelligent diagnosis scheme is extensively tested using the machining process simulation.
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Landry, Jacques-André. "Computer software for the control of potato storage environment." Thesis, McGill University, 1994. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=41668.

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Much research has proven that computer controlled vegetable storage can achieve better storage conditions than traditional control systems. During the last 10 years, the use of microcomputer-based environmental control systems has become commonplace. However, to take full advantage of this computerization of the control process, it is not enough only to program the control functions that are performed by normal analog equipment. New and better control strategies must be developed. Recent advances in computer technology have made possible the development of expert systems; a branch of artificial intelligence. One of the advantages of developing such a system is that it provides a reasoning tool which approaches the level of proficiency human experts exhibit in that field. The application of new control methods using expert systems has been extensively demonstrated for greenhouse environments. However, the application of expert systems for the control of vegetable storage is still to be investigated. In the first phase of this project, the development and implementation of a sophisticated control software, using a conventional algorithm-based programming language, were achieved. Throughout the three years of experimentation in an industrial potato storage, the software proved to be appropriate for the control of storage environmental parameters (temperature and relative humidity). During the second phase, the application of an expert system for the on-line control of potato storage was explored. The development of a rule-based expert system, that could replace the conventional algorithm-based control routines was achieved. The integration of the expert system into the control software will result in a highly efficient control software, which can easily be maintained and improved as new knowledge emerges. The use of an expert system will also render possible the representation of heuristic knowledge in the form of rules, which was not possible with the use of conven
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Vom, Braucke Troy S., and tvombraucke@swin edu au. "Establishment of a database for tool life performance." Swinburne University of Technology, 2004. http://adt.lib.swin.edu.au./public/adt-VSWT20050914.085324.

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The cutting tool industry has evolved over the last half century to the point where an increasing range and complexity of cutting tools are available for metal machining. This highlighted a need to provide an intelligent, user-friendly system of tool selection and recommendation that can also provide predictive economic performance data for engineers and end-users alike. Such an 'expert system' was developed for a local manufacturer of cutting tools in the form of a relational database to be accessed over the Internet. A number of performance predictive models were reviewed for various machining processes, however they did not encompass the wide range of variables encountered in metal machining, thus adaptation of these existing models for an expert system was reasoned to be economically prohibitive at this time. Interrogation of published expert systems from cutting tool manufacturers, showed the knowledge-engineered principle to be a common approach to transferring economic and technological information to an end-user. The key advantage being the flexibility to allow further improvements as new knowledge is gained. As such, a relational database was built upon the knowledge-engineered principle, based on skilled craft oriented knowledge to establish an expert system for selection and performance assessment of cutting tools. An investigation into tapping of austenitic stainless steels was undertaken to develop part of a larger expert system. The expert system was then interrogated in this specific area in order to challenge by experiment, the skilled craft oriented knowledge in this area. The experimental results were incorporated into the database where appropriate, providing a user-friendly working expert system for intelligent cutting tool selection, recommendation and performance data.
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Diaz, Zarate Gerardo Daniel. "A knowledge-based system for estimating the duration of cast in place concrete activities." FIU Digital Commons, 1992. http://digitalcommons.fiu.edu/etd/2806.

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Markarian, Naro R. "Environmental control of vegetable storage environments." Thesis, McGill University, 2001. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=31268.

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A large-scale experimental, state of the art storage facility was constructed on the Macdonald Campus of McGill University. This storage facility will serve as a tool to further investigate many of the laboratory experiments performed in agricultural and food science topics, by providing a representation of actual storage facilities in use in the industry today. The storage facility was fully instrumented to provide valuable data of the stored commodity and it's environment. A custom control software was developed with a user friendly graphical interface. This fully automated software allows data acquisition and control of temperature and relative humidity of the experimental storage facility.
Experiments were performed and the control software provided an adequate temperature and relative humidity control. The controller was based on a conventional PID or proportional, integral and derivative controller. To further improve the control of the storage facility, a novel multivariable PID controller was developed using enthalpy as the process variable, which encompasses both temperature and relative humidity. The novel controller was tested using a mathematical model developed. Simulations were performed comparing the performance of the novel multivariable controller to two other conventional controllers. The results demonstrate that the novel multivariable PID controller is capable of controlling temperature and relative humidity better than the other two conventional control techniques.
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Karandikar, Swanandesh S. "Expert system applications in architecture." Thesis, Virginia Tech, 1989. http://hdl.handle.net/10919/44116.

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This study proposes an Architectural Expert System (AES) to act as a design partner for architectural designers. Architectural designers are faced with a very complex task of searching a solution space, which is a labyrinth of several domains ranging from social to cultural, and from aesthetic to scientific. With the number of domains come a number of experts of that domain. After progressing through tedious analytical procedures involving the physical principles in architecture, and applying the knowledge of experience, the experts are able to convert the raw data into useful design guidelines.

Research in the field of artificial intelligence has developed techniques which can capture such expertise in a computer program, which then emulates the expert. This technology is know as Expert System (ES). This study has used this technology to develop a system to aid architectural design. An AES model is derived from literature review. As the nature of a system based on this model is complex and would require custom built software, an alternative is developed based on the derived model. Based on this alternative, a prototype is developed for energy audit and energy conservation by capturing the expertise of an energy conscious design expert. This prototype module is one component of the sub-system of AES and provides an example for further modules. Various areas such as design, architecture, artificial intelligence and expert systems technology, and energy conscious design and energy conservation converge, and become parts of this study.
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Akladios, Magdy. "Safety by design-- an expert systems approach /." Morgantown, W. Va. : [West Virginia University Libraries], 1999. http://etd.wvu.edu/templates/showETD.cfm?recnum=1033.

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Thesis (Ph. D.)--West Virginia University, 1999.
Title from document title page. Document formatted into pages; contains xi, 238 p. : ill. (some col.) Includes abstract. Includes bibliographical references (p. 231-238).
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Venneti, Vikram V. "Texpert-expert system for evaluating product design for worker's safety and health." Morgantown, W. Va. : [West Virginia University Libraries], 1999. http://etd.wvu.edu/templates/showETD.cfm?recnum=679.

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Thesis (M.S.)--West Virginia University, 1999.
Title from document title page. Document formatted into pages; contains x, 161 p. : ill. (some col.) Includes abstract. Includes bibliographical references (p. 156-161).
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Shen, Yan 1954. "ADVICE: AN EXPERT SYSTEM TO HELP EVALUATE GRADUATE STUDY PLANS OF SYSTEMS & INDUSTRIAL ENGINEERING STUDENTS." Thesis, The University of Arizona, 1986. http://hdl.handle.net/10150/291320.

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Fan, Yu. "Continuous time Bayesian Network approximate inference and social network applications." Diss., [Riverside, Calif.] : University of California, Riverside, 2009. http://proquest.umi.com/pqdweb?index=0&did=1957308751&SrchMode=2&sid=1&Fmt=2&VInst=PROD&VType=PQD&RQT=309&VName=PQD&TS=1268330625&clientId=48051.

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Thesis (Ph. D.)--University of California, Riverside, 2009.
Includes abstract. Title from first page of PDF file (viewed March 8, 2010). Available via ProQuest Digital Dissertations. Includes bibliographical references (p. 130-133). Also issued in print.
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Books on the topic "Expert systems (Computer science) – Industrial applications"

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Expert systems applications in engineering and manufacturing. Englewood Cliffs, N.J: Prentice Hall, 1992.

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Jović, Fran. Expert systems in process control. London: Chapman & Hall, 1992.

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Bernard, John A. Expert systems applications within the nuclear industry. La Grange Park, Ill., USA: American Nuclear Society, 1989.

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Rodgers, Bill R. Expert systems in process safety. New York: Center for Chemical Process Safety, 1995.

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Moonis, Ali, Ohsuga Setsuo, and Tanaka Takushi, eds. Industrial and engineering applications of artificial intelligence and expert systems: Proceedings of the ninth International Conference, Fukuoka, Japan 4-7, 1996. Amsterdam: Gordon and Breach Publishers, 1996.

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1964-, Walker Terri C., ed. Artificial intelligence applications in the computer/electronics industry. Madison, Ga: SEAI Technical Publications, 1988.

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International Conference on Industrial & Engineering Applications of Artificial Intelligence & Expert Systems (10th 1997 Atlanta, Ga.). Industrial and engineering applications of artificial intelligence and expert systems: Proceedings of the tenth international conference, Atlanta, Georgia, USA, June 10-13, 1997. Amsterdam: Gordon and Breach Science Publishers, 1997.

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Fevzi, Belli, Radermacher Franz-Josef, and International Conference on Industrial & Engineering Applications of Artificial Intelligence & Expert Systems (5th : 1992 : Paderborn, Germany), eds. Industrial and engineering applications of artificial intelligence and expert systems: 5th International Conference, IEA/AIE-92, Paderborn, Germany, June 9-12, 1992 : proceedings. Berlin: Springer-Verlag, 1992.

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H, Chung P. W., Lovegrove Gillian 1942-, and Ali Moonis, eds. Industrial and engineering applications of artificial intelligence and expert systems: Proceedings of the sixth international conference held in Edinburgh, Scotland, June 1-4, 1993. Yverdon, Switz: Gordon and Breach Science Publishers, 1993.

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F, Forsyth Graham, Ali Moonis, and International Conference on Industrial & Engineering Applications of Artificial Intelligence & Expert Systems (8th : 1995 : Melbourne, Vic.), eds. Industrial and engineering applications of artificial intelligence and expert systems: IEA/AIE 95 : proceedings of the eighth international conference, Melbourne, Australia, June 6-8, 1995. Amsterdam: Gordon and Breach Publishers, 1994.

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Book chapters on the topic "Expert systems (Computer science) – Industrial applications"

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Hartmann, Sven, Josef Küng, Gabriele Kotsis, A. Min Tjoa, and Ismail Khalil. "Correction to: Database and Expert Systems Applications." In Lecture Notes in Computer Science, C1. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-59051-2_29.

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Kern-Isberner, Gabriele, Christoph Beierle, Marc Finthammer, and Matthias Thimm. "Probabilistic Logics in Expert Systems: Approaches, Implementations, and Applications." In Lecture Notes in Computer Science, 27–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23088-2_3.

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Tjoa, A. Min, and Roland R. Wagner. "Developments in the database and expert systems applications domain." In Lecture Notes in Computer Science, 915–17. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/bfb0034742.

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Mylopoulos, J. "Expert systems for industrial process control: A study in technology transfer." In Lecture Notes in Computer Science, 359. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/3-540-58435-8_200.

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Nguyen, Hung T., and Vladik Kreinovich. "Expert Systems and the Basics of Fuzzy Logic." In Applications of Continuous Mathematics to Computer Science, 275–96. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-017-0743-5_13.

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Reyneri, Leonardo M. "Do Neurofuzzy Systems Have Chances in Industrial Applications?" In Lecture Notes in Computer Science, 629–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45226-3_87.

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Mase, Hisao, Hiroshi Tsuji, and Hiroshi Kinukawa. "Computer-Aided News Article Summarization." In Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 627–32. London: CRC Press, 2022. http://dx.doi.org/10.1201/9780429332111-106.

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Esmaili, Mansour, Reihaneh Safavi-Naini, and Josef Pieprzyk. "Computer Intrusion Detection and Incomplete Information." In Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 778. London: CRC Press, 2022. http://dx.doi.org/10.1201/9780429332111-136.

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Fujie, Ryuto, Hiroyuki Fujie, Kunie Takeuchi, Oskar Bartenstein, and Kosaku Shirota. "Spectacle Design and Advice Computer Graphics System Using Artificial Intelligence." In Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 802. London: CRC Press, 2022. http://dx.doi.org/10.1201/9780429332111-160.

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Valova, Iren, and Yukio Kosugi. "Parallel Computer Implementation for Feature Extraction via Answer-in-Weights Neural Network." In Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 799. London: CRC Press, 2022. http://dx.doi.org/10.1201/9780429332111-157.

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Conference papers on the topic "Expert systems (Computer science) – Industrial applications"

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Bellalouna, Fahmi, Robin Langebach, Volker Stamer, Mike Prakash, Mika Luimula, Anis Jedidi, and Faiez Gargouri. "VR-based Serious Games Approach for a Virtual Installation of an Ammonia Compressor Pack in the Industrial Refrigeration." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002061.

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Extended Reality technology (xR) contains Augmented, Virtual and Mixed Reality Technology (AR / VR / MR) is one of the key technologies of digital transformation. Thanks to the existing powerful immersive hardware systems, complex technical and natural systems can be digitally represented in a realistic virtual environment. This enables users to completely immerse in the virtual environment and to observe and interact with the systems and objects contained therein without major restrictions, or to augment real products and systems with digital data in runtime. This creates new opportunities to present the behaviour and functionalities of complex systems in a tangible and understandable way. Therefore, the xR technology has the ability to revolutionize learning and training methods, especially in the qualification of specialists and experts. Within the international project “International Cooperation on VR/AR Projects” (IC xR-P) – cooperation between University of Applied Sciences Karlsruhe from Germany, Turku University of Applied Sciences from Finland, and Higher Institute of Computer Science and Multimedia Sfax from Tunisia – the application of the VR technology in the training area in terms of supporting of cognitive skills will be investigated. IC xR-P focuses on the implementation of VR training apps for medical training, rescue and knowledge transfer. This paper presents and discusses the implementation of a VR-Training App for the installation of an industrial refrigeration Ammonia Compressor Pack (ACP). The VR app has been developed in cooperation with the German refrigeration technology manufacturer BITZER Kühlmaschinenbau GmbH. The implemented VR training App has been developed in terms of a feasibility study to demonstrate the aibilty of the VR technology to train Bitzer's customers to install the ACP worldwide. The VR app should support the customers engineers to perform an error-free installation of the ACP based on simplified and tangible virtual process description and virtual instruction. The VR training app comprises four main modules: VR logging and reception room, VR delivery and unloading process for the ACP, VR installation of the ACP, and VR visualization room for the refrigerant flow and technical details of the ACP. The VR app can be used as a single and multiplayer mode. A summary of the app evaluation by the engineers of BITZER will be presented at the end of the paper.
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Ammar, Maan, Khuzama Ammar, Kinan Mansour, and Waad Ammar. "Expert Systems Generating Machine for Image Processing Applications." In 12th International Conference on Computer Science and Information Technology (CCSIT 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.121303.

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We introduce in this paper what can be considered a new trend in expert systems field. It is generating different expert systems using the same software platform developed for this purpose, and called “Expert Systems Generating Machine for Image Processing Applications ESGMIPA”. The machine is used to generate different expert systems in completely different application fields which indicates the feasibility of the proposal. Using what we called Domain Expert Guided Heuristic Search (DEGHS) and the machine, we generated an expert system that succeeded in cases where no algorithmic approach can be applied. Generating different expert systems using the same machine depends on the well-known fact that the function of an expert system is determined mainly by its knowledge base. The machine developed expedite very much the development of the expert system to reach best performance. The role of domain expert and the positive effect of the interaction between different domain experts in different fields is highlighted.
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"INDUSTRIAL APPLICATIONS IN POWER SYSTEMS, COMPUTER SCIENCE AND TELECOMMUNICATIONS." In Proceedings of 8th Mediterranean Electrotechnical Conference on Industrial Applications in Power Systems, Computer Science and Telecommunications (MELECON 96). IEEE, 1996. http://dx.doi.org/10.1109/melcon.1996.551155.

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Tadeusiewicz, R. "Computers in psychology and psychology in computer science." In 2010 International Conference on Computer Information Systems and Industrial Management Applications (CISIM). IEEE, 2010. http://dx.doi.org/10.1109/cisim.2010.5643696.

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Santirojanakul, Sirikorn. "The development of sports science knowledge management systems through CommonKADS and digital Kanban board." In 2018 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE). IEEE, 2018. http://dx.doi.org/10.1109/iscaie.2018.8405455.

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Lei, X. F., Z. Wang, and Y. T. Li. "The Risk Assessment Model of Small and Medium-Sized Enterprises of Science and Technology Based On Boosting." In International Conference on Computer Information Systems and Industrial Applications. Paris, France: Atlantis Press, 2015. http://dx.doi.org/10.2991/cisia-15.2015.128.

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Sangiovanni-Vincentelli, A. "Trends in electronic systems." In Proceedings of 8th Mediterranean Electrotechnical Conference on Industrial Applications in Power Systems, Computer Science and Telecommunications (MELECON 96). IEEE, 1996. http://dx.doi.org/10.1109/melcon.1996.550956.

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"Proceedings of 8th Mediterranean Electrotechnical Conference on Industrial Applications in Power Systems, Computer Science and Telecommunications (MELECON 96)." In Proceedings of 8th Mediterranean Electrotechnical Conference on Industrial Applications in Power Systems, Computer Science and Telecommunications (MELECON 96). IEEE, 1996. http://dx.doi.org/10.1109/melcon.1996.550952.

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Fadhil Jasim, Khalid, Mohammad Hussein Shukur, Abdullah Abdulabbas Nahi Alrabeeah, and Laith R. Fleih. "ANALYSIS THE SECURITY OF SOME CIPHERS IN INDUSTRIAL APPLICATIONS OF WIRELESS SENSORS NETWORKS." In 4th International Conference on Communication Engineering and Computer Science (CIC-COCOS’2022). Cihan University, 2022. http://dx.doi.org/10.24086/cocos2022/paper.513.

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The wireless sensor networks played substantial role in many fields such as pollution monitoring system, health care system, military operations system, agriculture industries, bridges monitoring, and wastewater treatment systems. Various types of data are exchanged via these networks which can be exploited by intruders or unauthorized users. Hence, there is a demand to protect the data confidentiality in these networks. The cipher algorithms can be used to protect the data confidentiality in these networks. This research presents some applications of wireless networks. Moreover, the research focused on study some cipher algorithms and different features of these ciphers. In this context, the encryption keys, input block, encryption process, and components of these algorithms have been covered. Thus, these cipher algorithms can provide suitable level of protection for the WSN networks.
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Sundén, Bengt. "On Computational Heat Transfer in Industrial Applications." In ASME 2013 Heat Transfer Summer Conference collocated with the ASME 2013 7th International Conference on Energy Sustainability and the ASME 2013 11th International Conference on Fuel Cell Science, Engineering and Technology. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/ht2013-17289.

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Industrial energy systems involve many components where fluid flow, heat and mass transfer are the important transport processes. For design and development as well as investigation of innovative ideas, computational methods are of vital importance. Since the early pioneering works (by, e.g., the Spalding group) in the 1960s and 1970s, the development has been tremendous and nowadays CFD (computational fluid dynamics) is an established methodology. During the same time period computer capacities in addition have been brought extensively forward. Although still many topics need further development, applications to industrial problems are constantly increasing. In this paper examples of computational heat transfer, fluid flow and related transport phenmena applied to plate heat exchangers (PHEs), gas turbine heat transfer, and fuel cells are highlighted.
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