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Licensed Unlicensed Requires Authentication Published by De Gruyter August 2, 2013

Artificial neural networks: applications in chemical engineering

  • Mohsen Pirdashti

    Mohsen Pirdashti has been a PhD student at the Department of Chemical Engineering at Noshirvani University of Technology since 2012. He received his undergraduate and graduate degrees in Chemical Engineering from Mohaghegh Ardebili University and Razi University in Iran. He has been working at the Chemical Engineering Department in Shomal University since November 2008. He worked at Kimia Garb Gostar Corporation on a joint venture with Vogel Busch (Austria) where he was responsible for the design and construction of a pilot research and development plant from 2006 to 2008. He has been a lecturer at the National Iranian Oil Company. His primary research interests include multicriteria decision-making and group decision support systems with applications in CE, environment engineering, and food engineering.

    , Silvia Curteanu

    Silvia Curteanu has been Professor and PhD supervisor in Chemical Engineering since 2005 at the Faculty of Chemical Engineering and Environmental Protection, “Gheorghe Asachi” Technical University of Iasi, Romania. She is the coordinator of the Applied Informatics Laboratory and Research Center “Chemical and biochemical process engineering and advanced materials”. Her professional experience and research interests are artificial intelligence tools applied in CE, neural network methodologies used for modeling purposes, and evolutionary algorithms (genetic, DE, and artificial immune algorithms) applied for process optimization. She is the author of more than 150 publications (scientific papers and books). Web: http://www.ch.tuiasi.ro/cv/ic/curteanusilvia/index.html.

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    , Mehrdad Hashemi Kamangar

    Mehrdad Hashemi Kamangar has been a PhD student at the Department of Electrical Engineering at Noshirvani University of Technology since 2010. He received his undergraduate and graduate degrees in Electrical Engineering from Shahid Beheshti University and Noshirvani University of Technology in Iran. He started working at the Electrical Engineering Department in Shomal University in June 2007. His research interests include signal processing, image processing, and ANNs. He has published several scientific papers.

    , Mimi H. Hassim

    Mimi H. Hassim is a Senior Lecturer of Chemical Engineering at the Universiti Teknologi Malaysia, Skudai. She is a chartered engineer with the Institution of Chemical Engineers UK (IChemE). She received her B.Eng. degree from Universiti Teknologi Malaysia, her MSc degree from Loughborough University, UK, and her doctoral degree from the Aalto University School of Science and Technology, Finland. She is an established and world pioneer researcher working on inherent occupational health studies of chemical processes. She published many journal papers and made many presentations at various conferences. She has also received the best paper award at one congress. She is the subject editor for the Process Safety and Environmental Protection.

    and Mohammad Amin Khatami

    Mohammad Amin Khatami received his undergraduate degree in Chemical Engineering from the Noshirvani Babol University of Technology. He is a MSc degree student in Industrial Management at Imam Khomeini International University. His MSc degree thesis was about prediction of energy carrier demand in Iran by ANN.

Abstract

Artificial neural networks (ANN) provide a range of powerful new techniques for solving problems in sensor data analysis, fault detection, process identification, and control and have been used in a diverse range of chemical engineering applications. This paper aims to provide a comprehensive review of various ANN applications within the field of chemical engineering (CE). It deals with the significant aspects of ANN (architecture, methods of developing and training, and modeling strategies) in correlation with various types of applications. A systematic classification scheme is also presented, which uncovers, classifies, and interprets the existing works related to the ANN methodologies and applications within the CE domain. Based on this scheme, 717 scholarly papers from 169 journals are categorized into specific application areas and general (other) applications, including the following topics: petrochemicals, oil and gas industry, biotechnology, cellular industry, environment, health and safety, fuel and energy, mineral industry, nanotechnology, pharmaceutical industry, and polymer industry. It is hoped that this paper will serve as a comprehensive state-of-the-art reference for chemical engineers besides highlighting the potential applications of ANN in CE-related problems and consequently enhancing the future ANN research in CE field.


Corresponding author: Silvia Curteanu, Faculty of Chemical Engineering and Environmental Protection, Department of Chemical Engineering, “Gheorghe Asachi” Technical University of Iasi, Str. Prof. dr. Doc. Dimitrie Mangeron, nr. 73, 700050 Iaşi, Romania. Tel.: +40 232 278 683, Fax: +40 232 271 311

About the authors

Mohsen Pirdashti

Mohsen Pirdashti has been a PhD student at the Department of Chemical Engineering at Noshirvani University of Technology since 2012. He received his undergraduate and graduate degrees in Chemical Engineering from Mohaghegh Ardebili University and Razi University in Iran. He has been working at the Chemical Engineering Department in Shomal University since November 2008. He worked at Kimia Garb Gostar Corporation on a joint venture with Vogel Busch (Austria) where he was responsible for the design and construction of a pilot research and development plant from 2006 to 2008. He has been a lecturer at the National Iranian Oil Company. His primary research interests include multicriteria decision-making and group decision support systems with applications in CE, environment engineering, and food engineering.

Silvia Curteanu

Silvia Curteanu has been Professor and PhD supervisor in Chemical Engineering since 2005 at the Faculty of Chemical Engineering and Environmental Protection, “Gheorghe Asachi” Technical University of Iasi, Romania. She is the coordinator of the Applied Informatics Laboratory and Research Center “Chemical and biochemical process engineering and advanced materials”. Her professional experience and research interests are artificial intelligence tools applied in CE, neural network methodologies used for modeling purposes, and evolutionary algorithms (genetic, DE, and artificial immune algorithms) applied for process optimization. She is the author of more than 150 publications (scientific papers and books). Web: http://www.ch.tuiasi.ro/cv/ic/curteanusilvia/index.html.

Mehrdad Hashemi Kamangar

Mehrdad Hashemi Kamangar has been a PhD student at the Department of Electrical Engineering at Noshirvani University of Technology since 2010. He received his undergraduate and graduate degrees in Electrical Engineering from Shahid Beheshti University and Noshirvani University of Technology in Iran. He started working at the Electrical Engineering Department in Shomal University in June 2007. His research interests include signal processing, image processing, and ANNs. He has published several scientific papers.

Mimi H. Hassim

Mimi H. Hassim is a Senior Lecturer of Chemical Engineering at the Universiti Teknologi Malaysia, Skudai. She is a chartered engineer with the Institution of Chemical Engineers UK (IChemE). She received her B.Eng. degree from Universiti Teknologi Malaysia, her MSc degree from Loughborough University, UK, and her doctoral degree from the Aalto University School of Science and Technology, Finland. She is an established and world pioneer researcher working on inherent occupational health studies of chemical processes. She published many journal papers and made many presentations at various conferences. She has also received the best paper award at one congress. She is the subject editor for the Process Safety and Environmental Protection.

Mohammad Amin Khatami

Mohammad Amin Khatami received his undergraduate degree in Chemical Engineering from the Noshirvani Babol University of Technology. He is a MSc degree student in Industrial Management at Imam Khomeini International University. His MSc degree thesis was about prediction of energy carrier demand in Iran by ANN.

This work was supported by the “Partnership in Priority Areas-PN-II” program, financed by ANCS, CNDI-UEFISCDI, Project PN-II-PT-PCCA-2011-3.2-0732, No. 23/2012.

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Received: 2013-4-17
Accepted: 2013-6-4
Published Online: 2013-08-02
Published in Print: 2013-08-01

©2013 by Walter de Gruyter Berlin Boston

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