Author: Madhukar Y. ReddyPublisher:
ISBN:
Category :
Languages : en
Pages : 186
Book Description
Modeling of the Batch Dyeing Process
Author: Madhukar Y. ReddyThe Development of a Mathematical Model of the Batch Dyeing Process and Its Application to the Simulation and Computer Control of a Dyeing Machine
Author: J. RenModelling, Simulation and Control of the Dyeing Process
Author: R. ShameyPublisher: Elsevier
ISBN: 085709758X
Category : Computers
Languages : en
Pages : 267
Book Description
With increased environmental awareness and rising costs, manufacturers are investing in real time monitoring and control of dyeing to increase its efficiency and quality. This book reviews ways of automating the dyeing process as well as ways of understanding key processes in dyeing, including dye transport in fluid systems. This understanding is then used to create models to simulate the dyeing process which can then be used to develop appropriate measurement and control systems. Control of variables such as temperature, pH, conductivity and dye concentration can then be used to ensure a more consistent and cost-effective dyeing process. - Reviews the dyeing process and dye house automation, and the factors that affect dyeing quality and common difficulties in the process. - Explains the principles underlying the dyeing process and provides a thorough understanding of the mathematical models that can be used to approximate it. - Discusses techniques for monitoring dyebaths and controlling the dyeing process.
A Thesis on the Development of a Mathematical Model of the Batch Dyeing Process and Its Application to the Simulation and Computer Control of a Dyeing Machine
Author: Jianrong RenModelling and Predicting Textile Behaviour
Author: Xiaogang ChenPublisher: Elsevier
ISBN: 1845697219
Category : Technology & Engineering
Languages : en
Pages : 559
Book Description
The textile industry can experience a vast array of problems. Modelling represents a group of techniques that have been widely used to explore the nature of these problems, it can highlight the mechanisms involved and lead to predictions of the textile behaviour. This book provides an overview of how textile modelling techniques can be used successfully within the textile industry for solving various problems.The first group of chapters reviews the different types of models and methods available for predicting textile structures and behaviour. Chapters include modelling of yarn, woven and nonwoven materials. The second group of chapters presents a selection of case studies, expressing the strengths and limitations and how various models are applied in specific applications. Case studies such as modelling colour properties for textiles and modelling, simulation and control of textile dyeing are discussed.With its distinguished editor and international range of contributors, Modelling and predicting textile behaviour is essential reading material for textile technologists, fibre scientists and textile engineers. It will also be beneficial for academics researching this important area. - Provides an overview of the different types of models and methods that can be used successfully within the textile industry - Reviews the structural hierarchy in textile materials fundamental to the modelling of textile fibrous structures - Assesses the strengths and weaknesses of different textile models and how specific models are applied in different situations
Optimization of Energy Usage in Textile Finishing Operations. Part I. The Simulation of Batch Dyehouse Activities with a General Purpose Computer Model
Author: Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
A project to develop a mathematical model capable of simulating the activities in a typical batch dyeing process in the textile industry is described. The model could be used to study the effects of changes in dye-house operations, and to determine effective guidelines for optimal dyehouse performance. The computer model is of a hypothetical dyehouse. The appendices contain a listing of the computer program, sample computer inputs and outputs, and instructions for using the model. (MCW).
Simulation Modeling and Arena
Author: Manuel D. RossettiPublisher: John Wiley & Sons
ISBN: 111885814X
Category : Mathematics
Languages : en
Pages : 746
Book Description
Emphasizes a hands-on approach to learning statistical analysis and model building through the use of comprehensive examples, problems sets, and software applications With a unique blend of theory and applications, Simulation Modeling and Arena®, Second Edition integrates coverage of statistical analysis and model building to emphasize the importance of both topics in simulation. Featuring introductory coverage on how simulation works and why it matters, the Second Edition expands coverage on static simulation and the applications of spreadsheets to perform simulation. The new edition also introduces the use of the open source statistical package, R, for both performing statistical testing and fitting distributions. In addition, the models are presented in a clear and precise pseudo-code form, which aids in understanding and model communication. Simulation Modeling and Arena, Second Edition also features: Updated coverage of necessary statistical modeling concepts such as confidence interval construction, hypothesis testing, and parameter estimation Additional examples of the simulation clock within discrete event simulation modeling involving the mechanics of time advancement by hand simulation A guide to the Arena Run Controller, which features a debugging scenario New homework problems that cover a wider range of engineering applications in transportation, logistics, healthcare, and computer science A related website with an Instructor’s Solutions Manual, PowerPoint® slides, test bank questions, and data sets for each chapter Simulation Modeling and Arena, Second Edition is an ideal textbook for upper-undergraduate and graduate courses in modeling and simulation within statistics, mathematics, industrial and civil engineering, construction management, business, computer science, and other departments where simulation is practiced. The book is also an excellent reference for professionals interested in mathematical modeling, simulation, and Arena.
Hybrid Modelling and Multi-Parametric Control of Bioprocesses
Author: Christoph HerwigPublisher: MDPI
ISBN: 3038427454
Category : Science
Languages : en
Pages : 149
Book Description
This book is a printed edition of the Special Issue "Hybrid Modelling and Multi-Parametric Control of Bioprocesses" that was published in Bioengineering
Bioremediation
Author: Sanjay K. SharmaPublisher: CRC Press
ISBN: 0429952546
Category : Science
Languages : en
Pages : 279
Book Description
Bioremediation: A Sustainable Approach to Preserving Earth’s Water discusses the latest research in green chemistry practices and principles that are involved in water remediation and the quality improvement of water. The presence of heavy metals, dyes, fluoride, dissolved solids and many other pollutants are responsible for water pollution and poor water quality. The removal of these pollutants in water resources is necessary, yet challenging. Water preservation is of great importance globally and researchers are making significant progress in ensuring this precious commodity is safe and potable. This volume illustrates how bioremediation in particular is a promising green technique globally. Features: Addresses bioremediation of all the major water pollutants Approaches the chemistry of water and the concept of water as a renewable resource from a green chemistry aspect Discusses environmental chemistry and the practice of industrial ecology Explains the global concern of adequate high quality water supplies, and how bioremediation can resolve this Explores sustainable development through green engineering
Artificial Intelligence, Engineering Systems and Sustainable Development
Author: Tulsi Pawan FowdurPublisher: Emerald Group Publishing
ISBN: 1837535426
Category : Business & Economics
Languages : en
Pages : 268
Book Description
An analysis of different concepts and case studies in engineering disciplines such as chemical, civil, electrical, telecommunications and mechanical engineering, demonstrating how engineering systems and processes can leverage the power of AI to drive and achieve the UN SDGs.