4 edition of **Mathematical modeling and numerical techniques in drying technology** found in the catalog.

- 250 Want to read
- 15 Currently reading

Published
**1997**
by Marcel Dekker in New York
.

Written in English

- Drying -- Mathematical models.

**Edition Notes**

Includes bibliographical references and index.

Statement | edited by Ian Turner, Arun S. Mujumdar. |

Contributions | Turner, Ian, 1961-, Mujumdar, A. S. |

Classifications | |
---|---|

LC Classifications | TP363 .M357 1997 |

The Physical Object | |

Pagination | xii, 679 p. : |

Number of Pages | 679 |

ID Numbers | |

Open Library | OL981101M |

ISBN 10 | 082479818X |

LC Control Number | 96018672 |

Finally, the PDEs are solved through numerical or analytical methods and model validation with experimental data. Due to the complexity of the measurement of some variables during drying experiments, mathematical models can be used to simulate the distribution of temperature, moisture, and velocity, among other variables with high spatial and. This is a book about the nature of mathematical modeling, and about the kinds of techniques that are useful for modeling. The text is in four sections. The first covers exact and approximate analytical techniques; the second, numerical methods; the third, model inference based on observations; and the last, the special role of time in s:

The modeling and numerical simulation of drying in porous media is discussed in this work by revisiting the different models of moisture migration during the drying process of porous media as well as their restrictions and applications. Among the models and theories, we consider those are ranging from simple ones like the diffusion theory to more complex ones like the receding front theory. A comprehensive review of mathematical modeling of paddy parboiling and drying: Effects of modern techniques on process kinetics and rice quality. Trends in Food Science & Technology , .

read bits ofother text books as well. Mathematics is a lot easier ifyou can see why things are done the way they are, rather than just learningthe stuﬀ oﬀ by rote. Itis also a lot more fun this way. Most text books assume you already see why, but experience suggests that this is in fact where the problem lies. Which is why I am discursive and. MATHEMATICAL METHODS IN CHEMICAL ENGINEERING - Ebook written by S. PUSHPAVANAM. Read this book using Google Play Books app on your PC, android, iOS devices. Download for offline reading, highlight, bookmark or take notes while you read MATHEMATICAL METHODS .

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Mathematical Modeling and Numerical Techniques in Drying Technology 1st Edition by Ian Turner (Editor), Arun S. Mujumdar (Editor) ISBN ISBN X. Why is ISBN important. ISBN. This bar-code number lets you verify that you're getting exactly the right version or edition of a book.

Drying of granular and particulate solids: modelling heat and mass transfer in coupled systems during absorption and desorption; finite element modelling of grain drying; a mathematical model for constant and intermittent batch drying of grains in a novel rotating jet spouted bed; theoretical study of heat and mass transfer during frying of Cited by: Offers information necessary for the development of mathematical models and numerical techniques to solve specific drying problems.

The book addresses difficult issues involved with the drying equations of numerical analysis, including mesh generation, discretization strategies, the nonlinear equation set and the linearized algebraic system, convergence criteria, time step control.

Mathematical Modeling and Numerical Techniques in Drying Technology. Drying Technology: Vol. 15, No.pp. Author: T. Kudra. Mathematical modeling and numerical techniques in drying technology.

New York: Marcel Dekker, © (DLC) Material Type: Document, Internet resource: Document Type: Internet Resource, Computer File: All Authors / Contributors: Ian Turner; A S Mujumdar. The focus of this investigation is the development of a mathematical model to simulate the microwave drying of wool.

In the first part of this study, the yarn sample is considered to be a porous. Publishes international research on the science and technology, and the engineering aspects of drying and dewatering, including mathematical modelling of drying. Mathematical Models And Methods For Real World Systems by K.M.

Furati, Mathematical Models And Methods For Real World Systems Book available in PDF, EPUB, Mobi Format. Download Mathematical Models And Methods For Real World Systems books, Mathematics does not exist in isolation but is linked inextricably to the physical world.

At the Demystifying Numerical Models: Step-by Step Modeling of Engineering Systems is the perfect guide on the analytic concepts of engineering components and systems. In simplified terms, the book focuses on engineering characteristics and behaviors using numerical methods.

Mathematical and Numerical Modeling in Porous Media Applications in Geosciences No Comments fefet Mathematical Modelling and Numerical Analysis - BGSMath.

Further, interest in mathematical modeling has increased with the speread of high powered computers used in most industrial and academic settings. In two sections, the book first describes modeling of phase change processes and then describes applications for LHTES.

Mathematical Methods in Engineering and Science Matrices and Linear Transformati Matrices Geometry and Algebra Linear Transformations Matrix Terminology Geometry and Algebra Operating on point x in R3, matrix A transforms it to y in R2. Point y is the image of point x.

Books; Mathematical Modelling and Simulation in Chemical Engineering; and this guide offers detailed discussion on analytical and numerical techniques to solve mathematical model equations. Important concepts including nonlinear algebraic equations, initial value ordinary differential equations (ODEs) and boundary value ODEs are discussed.

qualitative properties of a model and of the related mathematical problems. Diﬁerent methods may correspond to diﬁerent models. † Modelling is a science which needs creative ability linked to a deep know-ledge of the whole variety of methods oﬁered by applied mathematics.

In-deed, the design of a model has to be precisely related to the. Mathematical analysis of rankings is essential for a wide range of scientific, public, and industrial applications (e.g., group decision-making, organizational methods, R&D sponsorship, recommender systems, voter systems, sports competitions, grant proposals rankings, web searchers, Internet streaming-on-demand media providers, etc.).

Mathematical modeling appears to be valuable utensils for the forecasting of drying kinetics of agro-commodities. Numerous mathematical models like heat and mass balance models, thin-layer models, and equilibrium moisture content models have been used to illustrate the thin-layer and deep bed drying of agro-products.

These five-volume series provide a comprehensive overview of all important aspects of drying technology like computational tools at different scales (Volume 1), modern experimental and analytical techniques (Volume 2), product quality and formulation (Volume 3), energy savings (Volume 4) and process intensification (Volume 5) Based on high-level cutting-edge results contributed by.

Allaire and A. Craig: Numerical Analysis and Optimization: An Introduction to Mathematical Modelling and Numerical Simulation. Bathe: Numerical methods in finite element analysis, Prentice-Hall ().

Thomas J.R. Hughes: The Finite Element Method: Linear Static and Dynamic Finite Element Analysis, Prentice-Hall (). Heat Transfer - Mathematical Modelling, Numerical Methods and Information Technology.

Edited by: Aziz Belmiloudi. ISBNPDF ISBNPublished Mathematical modeling and simulation of the drying curve direct better control of drying and to obtain high quality product (Meisami-asl et al. It can be further used to study the drying variables, evaluate the drying kinetics and to optimize the drying parameters and the conditions (Karathanos and Belessiotis ; Yun et al.

The authors assume the knowledge of basic chemical engineering, in particular transport phenomena, as well as basic mathematics, statistics and programming. The accompanying problems, tutorials, and projects include model formulation at different levels, analysis, parameter estimation and numerical .The book is a valuable guide to the methods, ideas, and tools of applied and computational mathematics as they apply to other disciplines such as the natural and social sciences, engineering, and technology.

Mathematical and Computational Modeling: With Applications in the Natural and Social Sciences, Engineering, and the Arts also features.The mathematical modeling activities presented include model generation, interpretation of numerical results, and development and control of numerical algorithms.

Note that these activities are not independent, and this organization is used primarily to assist in the exposition of ideas.