Search Results: advanced-data-analysis-and-modelling-in-chemical-engineering

Advanced Data Analysis and Modelling in Chemical Engineering

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

Publisher: Elsevier

ISBN: 0444594841

Category: Technology & Engineering

Page: 414

View: 8571

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

Chemical Complexity via Simple Models

MODELICS

Author: N.A

Publisher: Walter de Gruyter GmbH & Co KG

ISBN: 3110464942

Category: Science

Page: 374

View: 593

This book is focused on mathematical modelling of chemical kinetics. The authors present the classification of basic models of chemical kinetics, thermokinetics and macrokinetics, as well as their application for the most important chemical transformations, such as combustion and catalysis. Readers will find a detailed description and analysis of different mathematical instruments which can be applied for simulation of reaction dynamics.

Empirical Modeling and Data Analysis for Engineers and Applied Scientists

Author: Scott A. Pardo

Publisher: Springer

ISBN: 3319327682

Category: Mathematics

Page: 247

View: 3323

This textbook teaches advanced undergraduate and first-year graduate students in Engineering and Applied Sciences to gather and analyze empirical observations (data) in order to aid in making design decisions. While science is about discovery, the primary paradigm of engineering and "applied science" is design. Scientists are in the discovery business and want, in general, to understand the natural world rather than to alter it. In contrast, engineers and applied scientists design products, processes, and solutions to problems. That said, statistics, as a discipline, is mostly oriented toward the discovery paradigm. Young engineers come out of their degree programs having taken courses such as "Statistics for Engineers and Scientists" without any clear idea as to how they can use statistical methods to help them design products or processes. Many seem to think that statistics is only useful for demonstrating that a device or process actually does what it was designed to do. Statistics courses emphasize creating predictive or classification models - predicting nature or classifying individuals, and statistics is often used to prove or disprove phenomena as opposed to aiding in the design of a product or process. In industry however, Chemical Engineers use designed experiments to optimize petroleum extraction; Manufacturing Engineers use experimental data to optimize machine operation; Industrial Engineers might use data to determine the optimal number of operators required in a manual assembly process. This text teaches engineering and applied science students to incorporate empirical investigation into such design processes. Much of the discussion in this book is about models, not whether the models truly represent reality but whether they adequately represent reality with respect to the problems at hand; many ideas focus on how to gather data in the most efficient way possible to construct adequate models. Includes chapters on subjects not often seen together in a single text (e.g., measurement systems, mixture experiments, logistic regression, Taguchi methods, simulation) Techniques and concepts introduced present a wide variety of design situations familiar to engineers and applied scientists and inspire incorporation of experimentation and empirical investigation into the design process. Software is integrally linked to statistical analyses with fully worked examples in each chapter; fully worked using several packages: SAS, R, JMP, Minitab, and MS Excel - also including discussion questions at the end of each chapter. The fundamental learning objective of this textbook is for the reader to understand how experimental data can be used to make design decisions and to be familiar with the most common types of experimental designs and analysis methods.

Process Modelling and Model Analysis

Author: Ian T. Cameron,Katalin Hangos

Publisher: Elsevier

ISBN: 9780080514925

Category: Technology & Engineering

Page: 543

View: 6539

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

Towards Advanced Data Analysis by Combining Soft Computing and Statistics

Author: Christian Borgelt,María Ángeles Gil,João M.C. Sousa,Michel Verleysen

Publisher: Springer

ISBN: 3642302785

Category: Computers

Page: 378

View: 5374

Soft computing, as an engineering science, and statistics, as a classical branch of mathematics, emphasize different aspects of data analysis. Soft computing focuses on obtaining working solutions quickly, accepting approximations and unconventional approaches. Its strength lies in its flexibility to create models that suit the needs arising in applications. In addition, it emphasizes the need for intuitive and interpretable models, which are tolerant to imprecision and uncertainty. Statistics is more rigorous and focuses on establishing objective conclusions based on experimental data by analyzing the possible situations and their (relative) likelihood. It emphasizes the need for mathematical methods and tools to assess solutions and guarantee performance. Combining the two fields enhances the robustness and generalizability of data analysis methods, while preserving the flexibility to solve real-world problems efficiently and intuitively.

Statistics for Chemical and Process Engineers

A Modern Approach

Author: Yuri A.W. Shardt

Publisher: Springer

ISBN: 3319215094

Category: Science

Page: 414

View: 8135

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.

Issues in Chemical Engineering and other Chemistry Specialties: 2013 Edition

Author: N.A

Publisher: ScholarlyEditions

ISBN: 1490108912

Category: Technology & Engineering

Page: 1199

View: 7300

Issues in Chemical Engineering and other Chemistry Specialties: 2013 Edition is a ScholarlyEditions™ book that delivers timely, authoritative, and comprehensive information about Chemical Modeling. The editors have built Issues in Chemical Engineering and other Chemistry Specialties: 2013 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Chemical Modeling in this book to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Chemical Engineering and other Chemistry Specialties: 2013 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.

Hydrogeological Conceptual Site Models

Data Analysis and Visualization

Author: Neven Kresic,Alex Mikszewski

Publisher: CRC Press

ISBN: 1439852286

Category: Science

Page: 600

View: 3072

A reference for students, researchers, and environmental professionals, Hydrogeological Conceptual Site Models: Data Analysis and Visualization explains how to develop effective conceptual site models, perform advanced spatial data analysis, and generate informative graphics for applications in hydrogeology and groundwater remediation. Written by expert practitioners, this full-color book illustrates how fundamental hydrogeological concepts are translated into quantitative, high-resolution computer visualizations. In addition, the authors discuss topics not typically covered in conventional textbooks, including GIS technology and the relationship between conceptual site models and environmental policy. Advanced Methods for Data Analysis and Visualization Featuring more than 500 color illustrations, this unique and visually powerful book outlines the required elements of a conceptual site model and provides numerous examples of supporting charts, cross-sections, maps, and 3D graphics. The authors describe advanced analytical methods such as geospatial processing, kriging, and groundwater modeling through practical real-life examples. They also present numerous case studies in groundwater supply and remediation to help explain key engineering design concepts. Data-Driven Assessments of Groundwater Management Policy The authors tackle controversial topics, ranging from technical impracticability of groundwater remediation to sustainable management of groundwater resources. They encourage discussion and independent thought about how current environmental policies and practices can evolve to achieve better outcomes at less cost to society. Practical Strategies for Communicating Your Findings to the General Public While the book is technical in nature, equations and advanced theory are kept to a minimum. The text focuses on practical strategies to help you create easy-to-understand data tables, graphs, maps, and illustrations for technical and nontechnical audiences alike. A companion DVD includes animations, reference material, modeling software, and more.

Advanced Process Control and Simulation for Chemical Engineers

Author: Hossein Ghanadzadeh Gilani,Katia Ghanadzadeh Samper,Reza Khodaparast Haghi

Publisher: CRC Press

ISBN: 1926895320

Category: Science

Page: 224

View: 3360

This book offers a modern view of process control in the context of today’s technology. It provides innovative chapters on the growth of educational, scientific, and industrial research among chemical engineers. It presents experimental data on thermodynamics and provides a broad understanding of the main computational techniques used for chemical processing. Readers will gain an understanding of the areas of process control that all chemical engineers need to know. The information is presented in a concise and readable format. The information covers the basics and also provides unique topics, such as using a unified approach to model representations, statistical quality control, and model-based control. The methods presented have been successfully applied in industry to solve real problems. Designed as an advanced research guide in process dynamics and control, the book will be useful in chemical engineering courses as well as for the teaching of mechanical, nuclear, industrial, and metallurgical engineering.

Water Quality Data

Analysis and Interpretation

Author: Arthur Hounslow

Publisher: CRC Press

ISBN: 9780873716765

Category: Technology & Engineering

Page: 416

View: 2420

Water Quality Data emphasizes the interpretation of a water analysis or a group of analyses, with major applications on ground-water pollution or contaminant transport. A companion computer program aids in obtaining accurate, reproducible results, and alleviates some of the drudgery involved in water chemistry calculations. The text is divided into nine chapters and includes computer programs applicable to all the main concepts presented. After introducing the fundamental aspects of water chemistry, the book focuses on the interpretation of water chemical data. The interrelationships between the various aspects of geochemistry and between chemistry and geology are discussed. The book describes the origin and interpretation of the major elements, and some minor ones, that affect water quality. Readers are introduced to the elementary thermodynamics necessary to understand the use and results from water equilibrium computer programs. The book includes a detailed overview of organic chemistry and identifies the simpler and environmentally important organic chemicals. Methods are given to estimate the distribution of organic chemicals in the environment. The author fully explains all accompanying computer programs and presents this complex topic in a style that is interesting and easy to grasp for anyone.

System Design and Control Integration for Advanced Manufacturing

Author: Han-Xiong Li,XinJiang Lu

Publisher: John Wiley & Sons

ISBN: 1118822331

Category: Technology & Engineering

Page: 264

View: 3159

Most existing robust design books address design for static systems, or achieve robust design from experimental data via the Taguchi method. Little work considers model information for robust design particularly for the dynamic system. This book covers robust design for both static and dynamic systems using the nominal model information or the hybrid model/data information, and also integrates design with control under a large operating region. This design can handle strong nonlinearity and more uncertainties from model and parameters.

Handbook of Statistical Analysis and Data Mining Applications

Author: Robert Nisbet,Gary Miner,Ken Yale

Publisher: Elsevier

ISBN: 0124166458

Category: Mathematics

Page: 822

View: 2717

Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application. This book is an ideal reference for users who want to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques and discusses their application to real problems in ways accessible and beneficial to practitioners across several areas—from science and engineering, to medicine, academia and commerce. Includes input by practitioners for practitioners Includes tutorials in numerous fields of study that provide step-by-step instruction on how to use supplied tools to build models Contains practical advice from successful real-world implementations Brings together, in a single resource, all the information a beginner needs to understand the tools and issues in data mining to build successful data mining solutions Features clear, intuitive explanations of novel analytical tools and techniques, and their practical applications

Advances in Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry

Third International Conference, MDA 2008, Leipzig, Germany, July 14, 2008, Proceedings

Author: Petra Perner,Ovidio Salvetti

Publisher: Springer Science & Business Media

ISBN: 354070714X

Category: Science

Page: 173

View: 7379

The automatic analysis of signals and images together with the characterization and elaboration of their representation features is still a challenging activity in many relevant scientific and hi-tech fields such as medicine, biotechnology, and chemistry. Multidimensional and multisource signal processing can generate a number of information patterns which can be useful to increase the knowledge of several domains for solving complex problems. Furthermore, advanced signal and image manipulation allows relating specific application problems into pattern recognition problems, often implying also the development of KDD and other computational intelligence procedures. Nevertheless, the amount of data produced by sensors and equipments used in biomedicine, biotechnology and chemistry is usually quite huge and structured, thus strongly pushing the need of investigating advanced models and efficient computational algorithms for automating mass analysis procedures. Accordingly, signal and image understanding approaches able to generate automatically expected outputs become more and more essential, including novel conceptual approaches and system architectures. The purpose of this third edition of the International Conference on Mass Data Analysis of Signals and Images in Medicine, Biotechnology, Chemistry and Food Industry (MDA 2008; www.mda-signals.de) was to present the broad and growing scientific evidence linking mass data analysis with challenging problems in medicine, biotechnology and chemistry. Scientific and engineering experts convened at the workshop to present the current understanding of image and signal processing and interpretation methods useful for facing various medical and biological problems and exploring the applicability and effectiveness of advanced techniques as solutions.

Design and Analysis in Chemical Research

Author: Roy L. Tranter

Publisher: CRC Press

ISBN: 9780849397462

Category: Science

Page: 558

View: 6425

Chemists in research and development laboratories have relatively few published resources on the design and analysis of experiments. In recent years massive changes have occurred in the tools and instrumentation at their disposal, in the scale of databases linking the properties of pure materials, solutions or other mixtures to molecular structure, and in the sheer ability to collect data through automated data acquisition systems. Despite these advances, many chemists still apply only rudimentary data analysis techniques and remain unaware of the advances made in information extraction over the last decade. Design and Analysis in Chemical Research provides the means to overcome that problem. An international panel of contributors address the principles of design and analysis in chemical research and development, with a thoughtful, user-friendly approach. Organized in chapters dealing with major activities, this volume generates understanding through numerous examples and practical applications drawn from research and development chemistry. The authors concentrate on principles and interpretation rather than formal derivation and proof, and adopt the unifying theme that statistics and chemometrics are essentially extensions of the logical processes used every day by chemists. Thus, they allow a greater understanding of problems more quickly and easily than purely intuitive methods.

Dynamic Model Development: Methods, Theory and Applications

Author: S. Macchietto

Publisher: Elsevier

ISBN: 9780080530574

Category: Technology & Engineering

Page: 266

View: 9764

Detailed mathematical models are increasingly being used by companies to gain competitive advantage through such applications as model-based process design, control and optimization. Thus, building various types of high quality models for processing systems has become a key activity in Process Engineering. This activity involves the use of several methods and techniques including model solution techniques, nonlinear systems identification, model verification and validation, and optimal design of experiments just to name a few. In turn, several issues and open-ended problems arise within these methods, including, for instance, use of higher-order information in establishing parameter estimates, establishing metrics for model credibility, and extending experiment design to the dynamic situation. The material covered in this book is aimed at allowing easier development and full use of detailed and high fidelity models. Potential applications of these techniques in all engineering disciplines are abundant, including applications in chemical kinetics and reaction mechanism elucidation, polymer reaction engineering, and physical properties estimation. On the academic side, the book will serve to generate research ideas. Contains wide coverage of statistical methods applied to process modelling Serves as a recent compilation of dynamic model building tools Presents several examples of applying advanced statistical and modelling methods to real process systems problems

Mathematical Modelling and Simulation in Chemical Engineering

Author: M. Chidambaram

Publisher: Cambridge University Press

ISBN: 1108470408

Category: Computers

Page: N.A

View: 3829

An easy to understand guide covering key principles of mathematical modelling and simulation in chemical engineering.

Chemical Engineering Design and Analysis

An Introduction

Author: T. Michael Duncan,Jeffrey A. Reimer

Publisher: Cambridge University Press

ISBN: 9780521639569

Category: Technology & Engineering

Page: 380

View: 1243

Students taking their first chemical engineering course plunge into the 'nuts and bolts' of mass and energy balances and often miss the broad view of what chemical engineers do. This 1998 text offers a well-paced introduction to chemical engineering. Students are first introduced to the fundamental steps in design and three methods of analysis: mathematical modeling, graphical methods, and dimensional analysis. The book then describes how to apply engineering skills, such as how to simplify calculations through assumptions and approximations; how to verify calculations, significant figures, spreadsheets, graphing (standard, semi-log and log-log); and how to use data maps. In addition, the book teaches engineering skills through the design and analysis of chemical processes and process units in order to assess product quality, economics, safety, and environmental impact. This text will help undergraduate students in chemical engineering develop engineering skills early in their studies. Lecturer's solution manual available from the publisher on request.

Systems Analysis and Design for Advanced Modeling Methods: Best Practices

Best Practices

Author: Bajaj, Akhilesh

Publisher: IGI Global

ISBN: 160566345X

Category: Education

Page: 304

View: 985

Covers research in the area of systems analysis and design practices and methodologies.

Advanced Mathematical and Computational Tools in Metrology and Testing VIII

Author: Franco Pavese

Publisher: World Scientific

ISBN: 9812839526

Category: Technology & Engineering

Page: 406

View: 2898

The main theme of the AMCTM 2008 conference, reinforced by the establishment of IMEKO TC21, was to provide a central opportunity for the metrology and testing community worldwide to engage with applied mathematicians, statisticians and software engineers working in the relevant fields. This review volume consists of reviewed papers prepared on the basis of the oral and poster presentations of the Conference participants. It covers all the general matters of advanced statistical modeling (e.g. uncertainty evaluation, experimental design, optimization, data analysis and applications, multiple measurands, correlation, etc.), metrology software (e.g. engineering aspects, requirements or specification, risk assessment, software development, software examination, software tools for data analysis, visualization, experiment control, best practice, standards, etc.), numerical methods (e.g. numerical data analysis, numerical simulations, inverse problems, uncertainty evaluation of numerical algorithms, applications, etc.), and data fusion techniques and design and analysis of inter-laboratory comparisons.

Chemometrics

Mathematics and Statistics in Chemistry

Author: B.R. Kowalski

Publisher: Springer Science & Business Media

ISBN: 9401710260

Category: Science

Page: 485

View: 9741

At a time when computerized laboratory automation is producing a da ta explosion, chemists are turning to applied mathematics and statistics for the tools to extract useful chemical information from data. This rush to find applicable methods has lead to a somewhat confusing body of literature that represents a barrier to chemists wishing to learn more about chemometrics. The confusion results partly from the mixing of chemical notation and nomenclature with those of statistics, applied mathematics and engineering. Additionally, in the absence of collaboration with mathematicians, chemists have, at times, misused data analysis methodology and even reinvented methods that have seen years of service in other fields. The Chemometrics Society has worked hard to solve this problem since it was founded in 1974 with the goal of improving communications between the chemical sciences and applied mathe matics and statistics. The NATO Advanced Study Institute on Chemometrics is evidence of this fact as it was initiated in response to a call from its membership for advanced training in several areas of chemometrics. This Institute focused on current theory and application in the new field of Chemometrics: Use of mathematical and statistical methods, Ca) to design or select optimal measurement procedures and experiments; and Cb) to provide maximum chemical information by analyzing chemical data. The Institute had two formal themes and two informal themes.

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