| Description |
1 online resource (xvi, 340 pages) : illustrations |
| Series |
2010 Springer E-Books
|
| Contents |
Cover -- Preface -- Table of Content -- Contributors -- List of Contributors -- 1 Introduction -- 1.1 Classification of the Furnaces and Kilns for Nonferrous Metallurgical Engineering (FKNME) -- 1.2 The Thermophysical Processes and Thermal Systems of the FKNME -- 1.3 A Review of the Methodologies for Designs and Investigations of FKNME -- 1.3.1 Methodologies for design and investigation of FKNME -- 1.3.2 The characteristics of the MHSO method -- 1.4 Models and Modeling for the FKNME -- 1.4.1 Models for the modern FKNME -- 1.4.2 The modeling process -- References -- 2 Modeling of the Thermophysical Processes in FKNME -- 2.1 Modeling of the Fluid Flow in the FKNME -- 2.1.1 Introduction -- 2.1.2 The Reynolds-averaging and the Favre-averaging methods -- 2.1.3 Turbulence models -- 2.1.4 Low Reynolds number k-949; models -- 2.1.5 Re-Normalization Group (RNG) k-949; models -- 2.1.6 Reynolds stresses model(RSM) -- 2.2 The Modeling of the Heat Transfer in FKNME -- 2.2.1 Characteristics of heat transfer inside furnaces -- 2.2.2 Zone method -- 2.2.3 Monte Carlo method -- 2.2.4 Discrete transfer radiation model -- 2.3 The Simulation of Combustion and Concentration Field -- 2.3.1 Basic equations of fluid dynamics including chemical reactions -- 2.3.2 Gaseous combustion models -- 2.3.3 Droplet and particle combustion models -- 2.3.4 NOx models -- 2.4 Simulation of Magnetic Field -- 2.4.1 Physical models -- 2.4.2 Mathematical model of current field -- 2.4.3 Mathematical models of magnetic field in conductive elements -- 2.4.4 Magnetic field models of ferromagnetic elements -- 2.4.5 Three-dimensional mathematical model of magnetic field -- 2.5 Simulation on Melt Flow and Velocity Distribution in Smelting Furnaces -- 2.5.1 Mathematical model for the melt flow in smelting furnace -- 2.5.2 Electromagnetic flow -- 2.5.3 The melt motion resulting from jet-flow -- References -- 3 Hologram Simulation of the FKNME -- 3.1 Concept and Characteristics of Hologram Simulation -- 3.2 Mathematical Models of Hologram Simulation -- 3.3 Applying Hologram Simulation to Multi-field Coupling -- 3.3.1 Classification of multi-field coupling -- 3.3.2 An example of intra-phase three-field coupling -- 3.3.3 An example of four-field coupling -- 3.4 Solutions of Hologram Simulation Models -- References -- 4 Thermal Engineering Processes Simulation Based on Artificial Intelligence -- 4.1 Characteristics of Thermal Engineering Processes in Nonferrous Metallurgical Furnaces -- 4.2 Introduction to Artificial Intelligence Methods -- 4.2.1 Expert system -- 4.2.2 Fuzzy simulation -- 4.2.3 Artificial neural network -- 4.3 Modeling Based on Intelligent Fuzzy Analysis -- 4.3.1 Intelligent fuzzy self-adaptive modeling of multi-variable system -- 4.3.2 Example: fuzzy adaptive decision-making model for nickel matte smelting process in submerged arc furnace -- 4.4 Modeling Based on Fuzzy Neural Network Analysis -- 4.4.1 Fuzzy neural network adaptive modeling methods of multi-variable system -- 4.4.2 Example: fuzzy neural network adaptive decision-making model for production process in slag cleaning furnace -- References -- 5 Hologram Simulation of Aluminum Reduction Cells -- 5.1 Introduction -- 5.2 Computation and Analysis of the Electric Field and Magnetic Field -- 5.2.1 Computation model of electric current in the bus bar -- 5.2.2 Computational model of electric current in the anode -- 5.2.3 Computation and a |
| Summary |
"Simulation and Optimization of Furnaces and Kilns for Nonferrous Metallurgical Engineering" is based on advanced theories and research methods for fluid flow, mass and heat transfer, and fuel combustion. It introduces a hologram simulation and optimization methods for fluid field, temperature field, concentration field, and electro-magnetic field in various kinds of furnaces and kilns. Practical examples and a detailed introduction to methods for simulation and optimization of complex systems are included as well. These new methods have brought significant economic benefits to the industries involved. The book is intended for researchers and technical experts in metallurgical engineering, materials engineering, power and thermal energy engineering, chemical engineering, and mechanical engineering. Chi Mei, Jiemin Zhou, Xiaoqi Peng, Naijun Zhou and Ping Zhou are all professors at School of Energy Science and Engineering, Central South University, Changsha, Hunan Province, China |
| Bibliography |
Includes bibliographical references and index |
| Subject |
Nonferrous metals -- Metallurgy.
|
|
TECHNOLOGY & ENGINEERING -- Metallurgy.
|
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Chimie.
|
|
Science des matériaux.
|
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Nonferrous metals -- Metallurgy
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| Form |
Electronic book
|
| Author |
Mei, Chi, 1934-
|
| ISBN |
9783642002489 |
|
364200248X |
|
