Machine Learning And Hybrid Modelling For Reaction Engineering


Machine Learning And Hybrid Modelling For Reaction Engineering
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Machine Learning And Hybrid Modelling For Reaction Engineering


Machine Learning And Hybrid Modelling For Reaction Engineering
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Author : Dongda Zhang
language : en
Publisher: Royal Society of Chemistry
Release Date : 2023-12-20

Machine Learning And Hybrid Modelling For Reaction Engineering written by Dongda Zhang and has been published by Royal Society of Chemistry this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-20 with Science categories.




32nd European Symposium On Computer Aided Process Engineering


32nd European Symposium On Computer Aided Process Engineering
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Author : Ludovic Montastruc
language : en
Publisher: Elsevier
Release Date : 2022-06-30

32nd European Symposium On Computer Aided Process Engineering written by Ludovic Montastruc and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-30 with Technology & Engineering categories.


32nd European Symposium on Computer Aided Process Engineering: ESCAPE-32 contains the papers presented at the 32nd European Symposium of Computer Aided Process Engineering (ESCAPE) event held in Toulouse, France. It is a valuable resource for chemical engineers, chemical process engineers, researchers in industry and academia, students and consultants for chemical industries who work in process development and design. Presents findings and discussions from the 32nd European Symposium of Computer Aided Process Engineering (ESCAPE) event



Chemical Reaction Engineering


Chemical Reaction Engineering
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Author : Tapio Salmi
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2020-03-23

Chemical Reaction Engineering written by Tapio Salmi and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-23 with Science categories.


This book illustrates how models of chemical reactors are built up in a systematic manner, step by step. The authors also outline how the numerical solution algorithms for reactor models are selected, as well as how computer codes are written for numerical performance, with a focus on MATLAB and Fortran. Examples solved in MATLAB and simulations performed in Fortran are included for demonstration purposes.



Applications Of Artificial Intelligence In Process Systems Engineering


Applications Of Artificial Intelligence In Process Systems Engineering
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Author : Jingzheng Ren
language : en
Publisher: Elsevier
Release Date : 2021-06-05

Applications Of Artificial Intelligence In Process Systems Engineering written by Jingzheng Ren and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-05 with Technology & Engineering categories.


Applications of Artificial Intelligence in Process Systems Engineering offers a broad perspective on the issues related to artificial intelligence technologies and their applications in chemical and process engineering. The book comprehensively introduces the methodology and applications of AI technologies in process systems engineering, making it an indispensable reference for researchers and students. As chemical processes and systems are usually non-linear and complex, thus making it challenging to apply AI methods and technologies, this book is an ideal resource on emerging areas such as cloud computing, big data, the industrial Internet of Things and deep learning. With process systems engineering's potential to become one of the driving forces for the development of AI technologies, this book covers all the right bases. Explains the concept of machine learning, deep learning and state-of-the-art intelligent algorithms Discusses AI-based applications in process modeling and simulation, process integration and optimization, process control, and fault detection and diagnosis Gives direction to future development trends of AI technologies in chemical and process engineering



Current Developments In Biotechnology And Bioengineering


Current Developments In Biotechnology And Bioengineering
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Author : Ashok Pandey
language : en
Publisher: Elsevier
Release Date : 2022-08-18

Current Developments In Biotechnology And Bioengineering written by Ashok Pandey and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-18 with Technology & Engineering categories.


Advances in Bioprocess Engineering, the latest release in the Current Developments in Biotechnology and Bioengineering series, provides a comprehensive overview of bioprocess systems, kinetics, bioreactor design, batch and continuous reactors and introduces key principles that enable bioprocess engineers to engage in analysis, optimization and design with consistent control over biological and chemical transformations. The bioprocessing sector is also updating its technologies with state-of-the art techniques to keep up with the rising demand of the industry and R&D. This book covers these aspects, taking readers through a step-by-step journey of bioprocessing while also guiding them towards a new era and future. Covers state-of-the-art, technological advancements in the field of bioprocessing Includes design and scale-up of bioreactors, monitoring and control systems, advances in upstream and downstream processing Includes design and development of fermentation processes such as the suitability of experimental design, full factorial, central composite design, Box-Behnken, Plackett-Burman, and more



Emerging Engineering Technologies And Industrial Applications


Emerging Engineering Technologies And Industrial Applications
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Author : El Kacimi, Younes
language : en
Publisher: IGI Global
Release Date : 2024-05-06

Emerging Engineering Technologies And Industrial Applications written by El Kacimi, Younes and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-06 with Science categories.


Engineers have long been architects of progress, erecting massive buildings that touch the skies and designing technologies that redefine realms of known possibility. In this era of rapid change, keeping pace with innovation is the main challenge. Emerging Engineering Technologies and Industrial Applications is a comprehensive research book that delves deep into the heart of a relentless technological revolution within modern industry. From the limitless potential of the Internet of Things (IoT) to the cognitive wonders of Artificial Intelligence (AI), from the microscopic marvels of Nanotechnology to the precision and agility of Robotics, and from the revolutionary advancements in 3D Printing to the transformative capabilities of blockchain, this book explores emerging technologies. This book is an indispensable resource for professionals and researchers working in the field of emerging engineering technologies and their industrial applications. It caters to a diverse range of disciplines, including computer science and information technology, environmental, agricultural, and physical sciences, medical, healthcare, and life sciences, as well as science and engineering, and anyone seeking to navigate the current technological progress in the 21st century.



Integrated Process Modeling Advanced Control And Data Analytics For Optimizing Polyolefin Manufacturing


Integrated Process Modeling Advanced Control And Data Analytics For Optimizing Polyolefin Manufacturing
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Author : Y. A. Liu
language : en
Publisher: John Wiley & Sons
Release Date : 2023-07-25

Integrated Process Modeling Advanced Control And Data Analytics For Optimizing Polyolefin Manufacturing written by Y. A. Liu and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-25 with Technology & Engineering categories.


Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing Detailed resource on the “Why,” “What,” and “How” of integrated process modeling, advanced control and data analytics explained via hands-on examples and workshops for optimizing polyolefin manufacturing. Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing discusses, as well as demonstrates, the optimization of polyolefin production by covering topics from polymer process modeling and advanced process control to data analytics and machine learning, and sustainable design and industrial practice. The text also covers practical problems, handling of real data streams, developing the right level of detail, and tuning models to the available data, among other topics, to allow for easy translation of concepts into practice. Written by two highly qualified authors, Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing includes information on: Segment-based modeling of polymer processes; selection of thermodynamic methods; estimation of physical properties for polymer process modeling Reactor modeling, convergence tips and data-fit tool; free radical polymerization (LDPE, EVA and PS), Ziegler-Natta polymerization (HDPE, PP, LLPDE, and EPDM) and ionic polymerization (SBS rubber) Improved polymer process operability and control through steady-state and dynamic simulation models Model-predictive control of polyolefin processes and applications of multivariate statistics and machine learning to optimizing polyolefin manufacturing Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing enables readers to make full use of advanced computer models and latest data analytics and machine learning tools for optimizing polyolefin manufacturing, making it an essential resource for undergraduate and graduate students, researchers, and new and experienced engineers involved in the polyolefin industry.



Artificial Intelligence In Manufacturing


Artificial Intelligence In Manufacturing
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Author : Masoud Soroush
language : en
Publisher: Elsevier
Release Date : 2024-01-22

Artificial Intelligence In Manufacturing written by Masoud Soroush and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-22 with Technology & Engineering categories.


Artificial Intelligence in Manufacturing: Concepts and Methods explains the most successful emerging techniques for applying AI to engineering problems. Artificial intelligence is increasingly being applied to all engineering disciplines, producing more insights into how we understand the world and allowing us to create products in new ways. This book unlocks the advantages of this technology for manufacturing by drawing on work by leading researchers who have successfully developed methods that can apply to a range of engineering applications. The book addresses educational challenges needed for widespread implementation of AI and also provides detailed technical instructions for the implementation of AI methods. Drawing on research in computer science, physics and a range of engineering disciplines, this book tackles the interdisciplinary challenges of the subject to introduce new thinking to important manufacturing problems. Presents AI concepts from the computer science field using language and examples designed to inspire engineering graduates Provides worked examples throughout to help readers fully engage with the methods described Includes concepts that are supported by definitions for key terms and chapter summaries



Hybrid Modeling In Process Industries


Hybrid Modeling In Process Industries
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Author : Jarka Glassey
language : en
Publisher: CRC Press
Release Date : 2018-02-01

Hybrid Modeling In Process Industries written by Jarka Glassey and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-01 with Science categories.


This title introduces the underlying theory and demonstrates practical applications in different process industries using hybrid modeling. It reviews hybrid modeling approach applicability in wide range of process industries, recommends how to increase hybrid model performance and throw Insights into cost efficient practices in modeling techniques Discusses advance process operation maximizing the benefits of available process knowledge and Includes real-life and practical case studies



Computational Intelligence Techniques For Bioprocess Modelling Supervision And Control


Computational Intelligence Techniques For Bioprocess Modelling Supervision And Control
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Author : Maria Carmo Nicoletti
language : en
Publisher: Springer
Release Date : 2009-07-09

Computational Intelligence Techniques For Bioprocess Modelling Supervision And Control written by Maria Carmo Nicoletti and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-07-09 with Technology & Engineering categories.


Computational Intelligence (CI) and Bioprocess are well-established research areas which have much to offer each other. Under the perspective of the CI area, Biop- cess can be considered a vast application area with a growing number of complex and challenging tasks to be dealt with, whose solutions can contribute to boosting the development of new intelligent techniques as well as to help the refinement and s- cialization of many of the already existing techniques. Under the perspective of the Bioprocess area, CI can be considered a useful repertoire of theories, methods and techniques that can contribute and offer interesting alternative approaches for solving many of its problems, particularly those hard to solve using conventional techniques. Although throughout the past years CI and Bioprocess areas have accumulated substantial specific knowledge and progress has been quick and with a high degree of success, we believe there is still a long way to go in order to use the potentialities of the available CI techniques and knowledge at their full extent, as tools for supporting problem solving in bioprocesses. One of the reasons is the fact that both areas have progressed steadily and have been continuously accumulating and refining specific knowledge; another reason is the high level of technical expertise demanded by each of them. The acquisition of technical skills, experience and good insights in either of the two areas is very demanding and a hard task to be accomplished by any professional.