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Mhaskar, Pramathesh R., Peter, Sunil A. and Moharir, Arun S.. "Generic Mathematical Model for PSA Process" Chemical Product and Process Modeling, vol. 7, no. 1, 2012. https://doi.org/10.1515/1934-2659.1574
Mhaskar, P., Peter, S. & Moharir, A. (2012). Generic Mathematical Model for PSA Process. Chemical Product and Process Modeling, 7(1). https://doi.org/10.1515/1934-2659.1574
Mhaskar, P., Peter, S. and Moharir, A. (2012) Generic Mathematical Model for PSA Process. Chemical Product and Process Modeling, Vol. 7 (Issue 1). https://doi.org/10.1515/1934-2659.1574
Mhaskar, Pramathesh R., Peter, Sunil A. and Moharir, Arun S.. "Generic Mathematical Model for PSA Process" Chemical Product and Process Modeling 7, no. 1 (2012). https://doi.org/10.1515/1934-2659.1574
Mhaskar P, Peter S, Moharir A. Generic Mathematical Model for PSA Process. Chemical Product and Process Modeling. 2012;7(1). https://doi.org/10.1515/1934-2659.1574
CPPM will publish two special issues relating to the topics listed below during 2022. Authors interested submitting a paper in these issues should send their abstracts to Editors-in Chief at cppm@dgruyter.com before31th July2020.
Big Data Analytics in Process Engineering
Multiphase flow Modeling (CFD-DEM)
Objective Chemical Product and Process Modeling (CPPM) is a quarterly journal that publishes theoretical and applied research on product and process design modeling, simulation and optimization. Thanks to its international editorial board, the journal assembles the best papers from around the world on to cover the gap between product and process. The journal brings together chemical and process engineering researchers, practitioners, and software developers in a new forum for the international modeling and simulation community. Editors represent top engineering institutions across the globe, such as the University of Tehran, the Ecole Polytechnique de Montreal, Rutgers, Indian Institute of Technology, the Technical University Hamburg, Jordan University of Science and Technology, Dalhouse University, University Politehnica of Bucharest, University College London, Auburn University, Universidade do Minho, National University of Singapore, University of Paderborn, University of Lapeenranta, University of Pannonia, The City College of New York, Indian Institute of Technology Roorkee, Texas A&M University at Qatar, Texas A&M University at Qatar, Politecnico of Milano, University of Wollongong, Norwegian University of Science and Technology, CANMET Energy Technology Centre, University of Saskatchewan, Universitat Politecnica de Catalunya, Ecole Nationale Supérieure en Génie des Technologies Industrielles, ENSGTI, University of Western Ontario, Aristotle University of Thessaloniki and Centre for Research and Technology, IFP Energies nouvelles, University of Calgary, Abo Akademi University, Technical University Hamburg, University of Auckland, UCLA School of Public Health and the University of Buenos Aires.
Topics
equation oriented and modular simulation
optimization technology for process and materials design, new modeling techniques
shortcut modeling and design approaches
performance of commercial and in-house simulation and optimization tools
challenges faced in industrial product and process simulation and optimization
computational fluid dynamics
environmental process, food and pharmaceutical modeling
topics drawn from the substantial areas of overlap between modeling and mathematics applied to chemical products and processes
Article formats Editorial Notes, Research Articles, Reviews