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Advanced Data Analysis and Modelling in Chemical Engineering

Advanced Data Analysis and Modelling in Chemical Engineering
A Book

by Denis Constales,Gregory S. Yablonsky,Dagmar R. D'hooge,Joris W. Thybaut,Guy B. Marin

  • Publisher : Elsevier
  • Release : 2016-08-23
  • Pages : 414
  • ISBN : 0444594841
  • Language : En, Es, Fr & De
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Advanced Data Analysis and Modeling in Chemical Engineering provides the mathematical foundations of different areas of chemical engineering and describes typical applications. The book presents the key areas of chemical engineering, their mathematical foundations, and corresponding modeling techniques. Modern industrial production is based on solid scientific methods, many of which are part of chemical engineering. To produce new substances or materials, engineers must devise special reactors and procedures, while also observing stringent safety requirements and striving to optimize the efficiency jointly in economic and ecological terms. In chemical engineering, mathematical methods are considered to be driving forces of many innovations in material design and process development. Presents the main mathematical problems and models of chemical engineering and provides the reader with contemporary methods and tools to solve them Summarizes in a clear and straightforward way, the contemporary trends in the interaction between mathematics and chemical engineering vital to chemical engineers in their daily work Includes classical analytical methods, computational methods, and methods of symbolic computation Covers the latest cutting edge computational methods, like symbolic computational methods

Advances in Polymer Reaction Engineering

Advances in Polymer Reaction Engineering
A Book

by Anonim

  • Publisher : Academic Press
  • Release : 2020-10-31
  • Pages : 348
  • ISBN : 0128215224
  • Language : En, Es, Fr & De
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Advances in Polymer Reaction Engineering, Volume 56 in the Advances in Chemical Engineering series is aimed at reporting the latest advances in the field of polymer synthesis. Chapters in this new release include Polymer reaction engineering and composition control in free radical copolymers, Reactor control and on-line process monitoring in free radical emulsion polymerization, Exploiting pulsed laser polymerization to retrieve intrinsic kinetic parameters in radical polymerization, 3D printing in chemical engineering, Renewable source monomers in waterborne polymer dispersions, Importance of models and digitalization in Polymer Reaction Engineering, Recent Advances in Modelling of Radical Polymerization, and more. Covers recent advances in the control and monitoring of polymerization processes and in reactor configurations Provides modelling of polymerization reactions and up-to-date approaches to estimate reaction rate constants Includes authoritative opinions from experts in academia and industry

Advanced Process Data Analytics

Advanced Process Data Analytics
A Book

by Weike Sun (Ph. D.)

  • Publisher : Unknown Publisher
  • Release : 2020
  • Pages : 498
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Process data analytics is the application of statistics and related mathematical tools to data in order to understand, develop, and improve manufacturing processes. There have been growing opportunities in process data analytics because of advances in machine learning and technologies for data collection and storage. However, challenges are encountered because of the complexities of manufacturing processes, which often require advanced analytical methods. In this thesis, two areas of application are considered. One is the construction of predictive models that are useful for process design, optimization, and control. The other area of application is process monitoring to improve process efficiency and safety. In the first area of study, a robust and automated approach for method selection and model construction is developed for predictive modeling. Two common challenges when building data-driven process models are addressed: the high diversity in data quality and how to select from a wide variety of methods. The proposed approach combines best practices with data interrogation to facilitate consistent application and continuous improvement of tools and decision making. The second area of study focuses on process monitoring for complex manufacturing systems, which includes fault detection, identification, and classification. Four sets of algorithms are developed to address limitations of traditional monitoring methods. The first set provides the optimal strategy for Gaussian linear processes, including deep understanding of the process monitoring structure and optimal fault detection based on a probabilistic formulation. The second set aims at building a self-learning fault detection system for changing normal operating conditions. The third set is developed based on information-theoretic learning to address limitations of second-order statistical learning for both fault detection and classification. The fourth set tackles the problem of nonlinear and dynamic process monitoring. The proposed methodologies and algorithms are tested on several case studies where the value of advanced process data analytics is demonstrated.

Introduction to Chemical Engineering Kinetics and Reactor Design

Introduction to Chemical Engineering Kinetics and Reactor Design
A Book

by Charles G. Hill,Thatcher W. Root

  • Publisher : John Wiley & Sons
  • Release : 2014-04-24
  • Pages : 576
  • ISBN : 1118797833
  • Language : En, Es, Fr & De
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The Second Edition features new problems that engage readers in contemporary reactor design Highly praised by instructors, students, and chemical engineers, Introduction to Chemical Engineering Kinetics & Reactor Design has been extensively revised and updated in this Second Edition. The text continues to offer a solid background in chemical reaction kinetics as well as in material and energy balances, preparing readers with the foundation necessary for success in the design of chemical reactors. Moreover, it reflects not only the basic engineering science, but also the mathematical tools used by today’s engineers to solve problems associated with the design of chemical reactors. Introduction to Chemical Engineering Kinetics & Reactor Design enables readers to progressively build their knowledge and skills by applying the laws of conservation of mass and energy to increasingly more difficult challenges in reactor design. The first one-third of the text emphasizes general principles of chemical reaction kinetics, setting the stage for the subsequent treatment of reactors intended to carry out homogeneous reactions, heterogeneous catalytic reactions, and biochemical transformations. Topics include: Thermodynamics of chemical reactions Determination of reaction rate expressions Elements of heterogeneous catalysis Basic concepts in reactor design and ideal reactor models Temperature and energy effects in chemical reactors Basic and applied aspects of biochemical transformations and bioreactors About 70% of the problems in this Second Edition are new. These problems, frequently based on articles culled from the research literature, help readers develop a solid understanding of the material. Many of these new problems also offer readers opportunities to use current software applications such as Mathcad and MATLAB®. By enabling readers to progressively build and apply their knowledge, the Second Edition of Introduction to Chemical Engineering Kinetics & Reactor Design remains a premier text for students in chemical engineering and a valuable resource for practicing engineers.

The Chemical Engineer

The Chemical Engineer
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 2008
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches

Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches
Theory and Practical Applications

by Fouzi Harrou,Ying Sun,Amanda S. Hering,Muddu Madakyaru,abdelkader Dairi

  • Publisher : Elsevier
  • Release : 2020-07-03
  • Pages : 328
  • ISBN : 0128193662
  • Language : En, Es, Fr & De
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Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches tackles multivariate challenges in process monitoring by merging the advantages of univariate and traditional multivariate techniques to enhance their performance and widen their practical applicability. The book proceeds with merging the desirable properties of shallow learning approaches – such as a one-class support vector machine and k-nearest neighbours and unsupervised deep learning approaches – to develop more sophisticated and efficient monitoring techniques. Finally, the developed approaches are applied to monitor many processes, such as waste-water treatment plants, detection of obstacles in driving environments for autonomous robots and vehicles, robot swarm, chemical processes (continuous stirred tank reactor, plug flow rector, and distillation columns), ozone pollution, road traffic congestion, and solar photovoltaic systems. Uses a data-driven based approach to fault detection and attribution Provides an in-depth understanding of fault detection and attribution in complex and multivariate systems Familiarises you with the most suitable data-driven based techniques including multivariate statistical techniques and deep learning-based methods Includes case studies and comparison of different methods

29th European Symposium on Computer Aided Chemical Engineering

29th European Symposium on Computer Aided Chemical Engineering
A Book

by Anton A. Kiss,Edwin Zondervan,Richard Lakerveld,Leyla Özkan

  • Publisher : Elsevier
  • Release : 2019-07-03
  • Pages : 1892
  • ISBN : 0128186356
  • Language : En, Es, Fr & De
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The 29th European Symposium on Computer Aided Process Engineering, contains the papers presented at the 29th European Symposium of Computer Aided Process Engineering (ESCAPE) event held in Eindhoven, The Netherlands, from June 16-19, 2019. It is a valuable resource for chemical engineers, chemical process engineers, researchers in industry and academia, students, and consultants for chemical industries. Presents findings and discussions from the 29th European Symposium of Computer Aided Process Engineering (ESCAPE) event

Chemical Engineering Progress

Chemical Engineering Progress
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 2009
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Chemical Engineering

Chemical Engineering
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 2001
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Data Analysis and Modeling for Process Control

Data Analysis and Modeling for Process Control
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 2005
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Chemical Engineering Education

Chemical Engineering Education
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 1993
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Process Modelling and Model Analysis

Process Modelling and Model Analysis
A Book

by Ian T. Cameron,Katalin Hangos

  • Publisher : Elsevier
  • Release : 2001-05-23
  • Pages : 543
  • ISBN : 9780080514925
  • Language : En, Es, Fr & De
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Process Modelling and Model Analysis describes the use of models in process engineering. Process engineering is all about manufacturing--of just about anything! To manage processing and manufacturing systematically, the engineer has to bring together many different techniques and analyses of the interaction between various aspects of the process. For example, process engineers would apply models to perform feasibility analyses of novel process designs, assess environmental impact, and detect potential hazards or accidents. To manage complex systems and enable process design, the behavior of systems is reduced to simple mathematical forms. This book provides a systematic approach to the mathematical development of process models and explains how to analyze those models. Additionally, there is a comprehensive bibliography for further reading, a question and answer section, and an accompanying Web site developed by the authors with additional data and exercises. Introduces a structured modeling methodology emphasizing the importance of the modeling goal and including key steps such as model verification, calibration, and validation Focuses on novel and advanced modeling techniques such as discrete, hybrid, hierarchical, and empirical modeling Illustrates the notions, tools, and techniques of process modeling with examples and advances applications

Urban Runoff Quality

Urban Runoff Quality
Impact and Quality Enhancement Technology : Proceedings of an Engineering Foundation Conference, New England College, Henniker, New Hampshire, June 23-27, 1986

by Ben Urbonas,Larry A. Roesner

  • Publisher : Amer Society of Civil Engineers
  • Release : 1986
  • Pages : 477
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Advanced Reliability Modeling II

Advanced Reliability Modeling II
Reliability Testing and Improvement : Proceedings of the 2nd Asian International Workshop (AIWARM 2006), Busan, Korea, 24-26 August 2006

by Tadashi Dohi,Won Young Yun

  • Publisher : World Scientific
  • Release : 2006
  • Pages : 795
  • ISBN : 9812773762
  • Language : En, Es, Fr & De
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The 2006 Asian International Workshop on Advanced Reliability Modeling (AIWARM) is the second symposium in a series of biennial workshops for the dissemination of state-of-art research and the presentation of practice in reliability and maintenance engineering in Asia. It brings together researchers and engineers from not only Asian countries but also all over world to discuss the state of research and practice in dealing with both reliability issues at the system design phase and maintenance issues at the system operation phase. The theme of AIWARM 2006 is OC reliability testing and improvementOCO. The contributions in this volume cover all the main topics in reliability and maintenance engineering, providing an in-depth presentation of theory and practice. Sample Chapter(s). Chapter 1: Optimal Burn-In for Minimizing Total Warranty Cost (311 KB). Contents: System and Network Reliability; Optimization in Reliability Engineering; Maintenance; Advanced Warranty Modeling; Software Reliability; Acceleration Testing and Failure Analysis; Statistical Analysis and Reliability Modeling; Stochastic Models; Statistical Quality Control. Readership: Graduate students and researchers and as well as reliability, maintenance and industrial engineers."

Directory of Postgraduate Studies 2002

Directory of Postgraduate Studies 2002
A Book

by Hobsons Publishing, PLC

  • Publisher : Unknown Publisher
  • Release : 2001
  • Pages : 1720
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Statistics for Chemical and Process Engineers

Statistics for Chemical and Process Engineers
A Modern Approach

by Yuri A.W. Shardt

  • Publisher : Springer
  • Release : 2015-10-16
  • Pages : 414
  • ISBN : 3319215094
  • Language : En, Es, Fr & De
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A coherent, concise and comprehensive course in the statistics needed for a modern career in chemical engineering; covers all of the concepts required for the American Fundamentals of Engineering examination. This book shows the reader how to develop and test models, design experiments and analyse data in ways easily applicable through readily available software tools like MS Excel® and MATLAB®. Generalized methods that can be applied irrespective of the tool at hand are a key feature of the text. The reader is given a detailed framework for statistical procedures covering: · data visualization; · probability; · linear and nonlinear regression; · experimental design (including factorial and fractional factorial designs); and · dynamic process identification. Main concepts are illustrated with chemical- and process-engineering-relevant examples that can also serve as the bases for checking any subsequent real implementations. Questions are provided (with solutions available for instructors) to confirm the correct use of numerical techniques, and templates for use in MS Excel and MATLAB can also be downloaded from extras.springer.com. With its integrative approach to system identification, regression and statistical theory, Statistics for Chemical and Process Engineers provides an excellent means of revision and self-study for chemical and process engineers working in experimental analysis and design in petrochemicals, ceramics, oil and gas, automotive and similar industries and invaluable instruction to advanced undergraduate and graduate students looking to begin a career in the process industries.

Chemical Engineering Abstracts

Chemical Engineering Abstracts
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 1988
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Amstat News

Amstat News
A Book

by American Statistical Association

  • Publisher : Unknown Publisher
  • Release : 2001
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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AIChE Symposium Series

AIChE Symposium Series
A Book

by American Institute of Chemical Engineers

  • Publisher : Unknown Publisher
  • Release : 1998
  • Pages : 531
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Chemical and Engineering News

Chemical and Engineering News
"news Edition" of the American Chemical Society

by Anonim

  • Publisher : Unknown Publisher
  • Release : 1995
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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