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Methods of Research and Optimization of the Mineral Raw Material Grinding Process, Marinka K. Baghdasaryan


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Автор: Marinka K. Baghdasaryan
Название:  Methods of Research and Optimization of the Mineral Raw Material Grinding Process
ISBN: 9781536159486
Издательство: Nova Science
Классификация:
ISBN-10: 1536159484
Обложка/Формат: Hardback
Страницы: 338
Вес: 0.58 кг.
Дата издания: 26.11.2019
Серия: Engineering
Язык: English
Размер: 183 x 262 x 23
Ключевые слова: Materials science,Electrical engineering
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Поставляется из: Англии
Описание: In the monograph, a number of problems of scientific and technical importance are introduced and discussed, which are of great interest, and can find widespread application in the circles of engineers and researchers, as well as graduate and post-graduate students engaged in investigation, optimisation and management of electromechanical systems. The theoretical and practical results presented in the work have applied significance for investigating, optimising, revealing the regularities of changing the operation modes, establishing the technological factors and power dependencies, controlling the operating state of the elastic transmission links of the electromechanical system, and, based on them, developing a control system for the diagnosis tool of the systems operating state and increasing the power consumption efficiency. The methods introduced in the monograph differ from those developed by other well-known authors in that the author has succeeded in revealing the relationship of technological and energetic parameters. Taking into consideration the variety of the technological load, mechanisms and schemes, the author has proposed and implemented new complex approaches to making optimal decisions on the problem, considering them in the solution of diverse problems aimed at increasing the efficiency of the ore-grinding technological process. In Chapter 1 of the monograph, the principles of increasing the control efficiency of the ore-grinding technological process by assessing the power-saving possibilities for the consumed energy have been considered. In Chapter 2, the operation modes of the ore mill have been investigated, for which models for investigating the change in the moment of the active load and the mill -- motor electromechanical system have been developed. A system of criteria for studying the changes in the grinding degree, time, and the number of mills used has been obtained, and the condition for the stability of the gravity centre of the mill active load, as well as the frequency areas of interest for assessing the state of the system have been revealed. Chapter 3 is devoted to the development of the imitation model for investigating the dynamic processes of the electrical drive systems ensuring the ore mill operation, which reveals the regularities of changes in the electromagnetic torque and dynamic load at different characteristics of changes in the resistive torque created by the mill, and at different values of hardness of the drive unit. In Chapter 4, the possibilities of identifying and preventing abnormal operating modes of synchronous electrical drive of the ore-grinding mill are considered. In Chapter 5, the optimisation problem is formulated through the analysis of the grinding control strategy and energy-saving requirements. The necessity of forming a loss matrix to determine the optimisation criteria and controlled parameters is substantiated. In Chapter 6, the automated diagnosis and control systems are proposed that provide wide control possibilities, and, in the last chapter, method of rationing the specific consumption of electricity by the technological process of grinding is presented.

Modeling, Analysis and Optimization of Process and Energy Systems

Автор: F.Carl Knopf
Название: Modeling, Analysis and Optimization of Process and Energy Systems
ISBN: 0470624213 ISBN-13(EAN): 9780470624210
Издательство: Wiley
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Цена: 118220.00 T
Наличие на складе: Поставка под заказ.
Описание: Energy costs impact the profitability of virtually all industrial processes.

Distributed control and optimization technologies in smart grid systems

Автор: Guo, Fanghong (agency For Science, Technology And Research, Singapore) Wen, Changyun Song, Yong-duan (chongqing University, China)
Название: Distributed control and optimization technologies in smart grid systems
ISBN: 1138088595 ISBN-13(EAN): 9781138088597
Издательство: Taylor&Francis
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Цена: 163330.00 T
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Описание: The book aims to equalize the theoretical involvement with industrial practicality by reducing the mathematical difficulties. It provides an overview of distributed control and distributed optimization theory, followed by specific details on industrial applications to smart grid systems, with a special focus on micro grid systems.

Multiscale Optimization And Material Design

Автор: Yan Jun, Cheng Gengdong
Название: Multiscale Optimization And Material Design
ISBN: 9811216533 ISBN-13(EAN): 9789811216534
Издательство: World Scientific Publishing
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Цена: 95040.00 T
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Описание:

The book presents a set of novel, efficient and systematic concurrent multiscale optimization methods by considering the distribution of the material in macro-scale and the unit-cell configuration design in micro-scale simultaneously. Different from the traditional optimization method that is performed in a single scale, the proposed methods could generate a great deal of improvements in structural performance through the multiscale structure-material concurrent optimum design.


The proposed theory and methods are related to statics, dynamics, thermoelastics and the coupling of different physical fields. Therefore, it provides a comprehensive designing scheme when multiple factors are taken into account. For example, the designing scheme can have a great significance on enhancing the structural performances under coupled multi-physical fields, such as load bearing capacity, vibration resistance ability, and safety under thermal stress and so on.


Several numerical examples are highlighted in this unique volume based on practical engineering applications. The examples collectively demonstrate drastically improved designs featuring excellent unit-cell configuration and highly regular macroscale material distribution in a variety of industrial applications.


Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences

Автор: David Greiner; Blas Galv?n; Jacques P?riaux; Nicol
Название: Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences
ISBN: 3319115405 ISBN-13(EAN): 9783319115405
Издательство: Springer
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Цена: 174150.00 T
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Preface.- Part 1: Theoretical and Numerical Methods and Tools for Optimization.- 1.1 Theoretical Methods and Tools.- 1.1.1 Multi-Objective Evolutionary Algorithms in Real-World Applications: Some Recent Results and Current Challenges, by Carlos A. Coello Coello.- 1.1.2 Hybrid Optimization Algorithms and Hybrid Response Surfaces, by George S. Dulikravich and Marcelo J. Colaco.- 1.1.3 A genetic algorithm for a sensor device location problem, by Egidio D'Amato, Elia Daniele and Lina Mallozzi.- 1.1.4 The Role of Artificial Neural Networks in Evolutionary Optimization: A Review, by Mustapha Maarouf, Adriel Sosa, Blas Galvбn, David Greiner, Gabriel Winter, Mбximo Mendez and Ricardo Aguasca.- 1.1.5 Reliability-based Design Optimization with the Generalized Inverse Distribution Function, by Domenico Quagliarella, Giovanni Petrone and Gianluca Iaccarino.- 1.2 Numerical Methods and Tools.- 1.2.1 On the choice of surrogates for multilevel aircraft performance models, by Manon Bondouy, Sophie Jan, Serge Laporte and Christian Bes.- 1.2.2 Multi-objective design optimization using high-order statistics for CFD applications, by Pietro M. Congedo, Gianluca Geraci, Remi Abgrall and Gianluca Iaccarino.- 1.2.3 Extension of the One-Shot Method for Optimal Control with Unsteady PDEs, by Stefanie Gunther, Nicolas R. Gauger and Qiqi Wang.- 1.2.4 Adaptive Aerodynamic Design Optimization for Navier-Stokes using Shape Derivatives with Discontinuous Galerkin Methods, by Lena Kaland, Matthias Sonntag and Nicolas R. Gauger.- 1.2.5 Optimal Flow Control and Topology Optimization Using the Continuous Adjoint Method in Unsteady Flows, by Ioannis S. Kavvadias, George K. Karpouzas, Evangelos M. Paoutsis-Kiachagias, Dimitris I. Papadimitrou and Kyriakos C. Giannakoglou.- Part 2: Engineering Design and Societal Applications.- 2.1 Turbomachinery.- 2.1.1 Design optimization of the Primary Pump of a Nuclear Reactor, by Tom Verstraete and Lasse Mueller.- 2.1.2 Direct 3D Aerodynamic Optimization of Turbine Blades with GPU-accelerated CFD, by Philipp Amtsfeld, Dieter Bestle and Marcus Meyer.- 2.1.3 Evaluation of Surrogate Modelling Methods for Turbo-Machinery Component Design Optimization, by Gianluca Badjan, Carlo Poloni, Andrew Pike and Nadir Ince.- 2.1.4 Robust Aerodynamic Design Optimization of Horizontal Axis Wind Turbine Rotors, by Marco Caboni, Edmondo Minisci and Michele Sergio Campobaso.- 2.1.5 Horizontal axis hydroturbine shroud airfoil optimization, by Elia Daniele, Elios Ferrauto and Domenico P. Coiro.- 2.1.6 Parametric Blending and FE-Optimization of a Compressor Blisk Test Case, by Kai Karger and Dieter Bestle.- 2.1.7 Modular Automated Aerodynamic Compressor Design Process, by Fiete Poehlmann, Dieter Bestle, Peter Flassig and Michиl Hinz.- 2.1.8 Design-Optimization of a Compressor Blading on a GPU Cluster, by Konstantinos T. Tsiakas, Xenofon S. Trompoukis, Varvara G. Asouti and Kyriakos C. Giannakoglou.- 2.2 Structures, Materials and Civil Engineering.- 2.2.1 Immune and Swarm Optimization of Structures, by Tadeusz Burczyński, Arkadiusz Poteralski and Miroslaw Szczepanik.- 2.2.2 Investigation of three genotypes for mixed variable evolutionary optimization, by Rajan Filomeno Coelho, Manyu Xiao, Aurore Guglielmetti, Manuel Herrera and Weihong Zhang.- 2.2.3 A Study of Nash-Evolutionary Algorithms for Reconstruction Inverse Problems in Structural Engineering, by David Greiner, Jacques Pйriaux, Josй Marнa Emperador, Blas Galvбn and Gabriel Winter.- 2.2.4 A comparative study on design optimization of polygonal and Bйzier curve-shaped thin noise barriers using dual BEMformulation, by Rayco Toledo, Juan J. Aznбrez, Orlando Maeso and David Greiner.- 2.2.5 A Discrete Adjoint Approach For Trailing-Edge Noise Minimization using Porous Material, by Beckett Y. Zhou, Nicolas R. Gauger, Seong R. Koh and Wolfgang Schrцder.- 2.3 Aeronautics and Astronautics.- 2.3.1 Conceptual Design of Single-Stage Launch Vehicle with Hybrid Rocket Engine Using Desi

Handbook of Machining with Grinding Wheels

Автор: Marinescu, Ioan D. , Hitchiner, Mike P. , Uhlman
Название: Handbook of Machining with Grinding Wheels
ISBN: 0367868709 ISBN-13(EAN): 9780367868703
Издательство: Taylor&Francis
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Цена: 100030.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Grinding offers capabilities that range from high-rate material removal to high-precision superfinishing and has become one of the most widely used industrial machining and surface finishing operations. Reflecting modern developments in the science and practice of grinding, this handbook presents a broad range of abrasive machining technologies

Название: Integration of Nuclear Spectrometry Methods as a New Approach to Material Research
ISBN: 9201213107 ISBN-13(EAN): 9789201213105
Издательство: Mare Nostrum (Eurospan)
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Цена: 16630.00 T
Наличие на складе: Невозможна поставка.
Описание: Presents the results of an IAEA coordinated research project and provides a description of the development, construction and evaluation of integrated multifunctional instruments based on nuclear spectrometries, as well as new software for handling and operation of the instruments, including data acquisition, processing and presentation of data.

Advanced Optimization and Decision-Making Techniques in Textile Manufacturing

Автор: Ghosh
Название: Advanced Optimization and Decision-Making Techniques in Textile Manufacturing
ISBN: 1138586765 ISBN-13(EAN): 9781138586765
Издательство: Taylor&Francis
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Цена: 188850.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book includes theory and applications of various types of multi-criteria decision making and optimization techniques with reference to textile manufacturing and management. It discuses multi-criteria decision-making methods and optimization techniques in the textile domain supported by examples, case studies and MATLAB codes.

Advances in Visualization and Optimization Techniques for Multidisciplinary Research

Автор: Dean Vucinic; Fabiana Rodrigues Leta; Sheeja Janar
Название: Advances in Visualization and Optimization Techniques for Multidisciplinary Research
ISBN: 9811398054 ISBN-13(EAN): 9789811398056
Издательство: Springer
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Цена: 93160.00 T
Наличие на складе: Поставка под заказ.
Описание: This volume presents several multidisciplinary approaches to the visual representation of data acquired from experiments. As an expansion of these approaches, it is also possible to include data examination generated by mathematical-physical modeling. Imaging Systems encompass any subject related to digital images, from fundamental requirements for a correct image acquisition to computational algorithms that make it possible to obtain relevant information for image analysis. In this context, the book presents selected contributions of a special session at the Conference on Advanced Computational Engineering and Experimenting (ACE-X) 2016.

Multi-Objective Optimization of Industrial Power Generation Systems: Emerging Research and Opportunities

Автор: Timothy Ganesan
Название: Multi-Objective Optimization of Industrial Power Generation Systems: Emerging Research and Opportunities
ISBN: 1799817113 ISBN-13(EAN): 9781799817116
Издательство: Mare Nostrum (Eurospan)
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Цена: 146910.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The increased complexity of the economy in recent years has led to the advancement of energy generation systems. Engineers in this industrial sector have been compelled to seek contemporary methods to keep pace with the rapid development of these systems. Computational intelligence has risen as a capable method that can effectively resolve complex scenarios within the power generation sector. In-depth research on the various applications of this technology is lacking, as engineering professionals need up-to-date information on how to successfully utilize computational intelligence in industrial systems. Multi-Objective Optimization of Industrial Power Generation Systems: Emerging Research and Opportunities provides emerging research exploring the theoretical and practical aspects of the application of intelligent optimization techniques within industrial energy systems. Featuring coverage on a broad range of topics such as swarm intelligence, renewable energy, and predictive modeling, this book is ideally designed for industrialists, engineers, industry professionals, researchers, students, and academics seeking current research on computational intelligence frameworks within the power generation sector.

Multi-Objective Optimization of Industrial Power Generation Systems: Emerging Research and Opportunities

Автор: Timothy Ganesan
Название: Multi-Objective Optimization of Industrial Power Generation Systems: Emerging Research and Opportunities
ISBN: 1799817105 ISBN-13(EAN): 9781799817109
Издательство: Mare Nostrum (Eurospan)
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Цена: 174630.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The increased complexity of the economy in recent years has led to the advancement of energy generation systems. Engineers in this industrial sector have been compelled to seek contemporary methods to keep pace with the rapid development of these systems. Computational intelligence has risen as a capable method that can effectively resolve complex scenarios within the power generation sector. In-depth research on the various applications of this technology is lacking, as engineering professionals need up-to-date information on how to successfully utilize computational intelligence in industrial systems.

Multi-Objective Optimization of Industrial Power Generation Systems: Emerging Research and Opportunities provides emerging research exploring the theoretical and practical aspects of the application of intelligent optimization techniques within industrial energy systems. Featuring coverage on a broad range of topics such as swarm intelligence, renewable energy, and predictive modeling, this book is ideally designed for industrialists, engineers, industry professionals, researchers, students, and academics seeking current research on computational intelligence frameworks within the power generation sector.

Handbook of Research on Power and Energy System Optimization

Автор: Pawan Kumar, Surjit Singh, Ikbal Ali, Taha Selim Ustun
Название: Handbook of Research on Power and Energy System Optimization
ISBN: 1522539352 ISBN-13(EAN): 9781522539353
Издательство: Mare Nostrum (Eurospan)
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Цена: 316010.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In recent years, the development of advanced structures for providing sustainable energy has been a topic at the forefront of public and political conversation. Many are looking for advancements on pre-existing sources and new and viable energy options to maintain a modern lifestyle.The Handbook of Research on Power and Energy System Optimization is a critical scholarly resource that examines the usage of energy in relation to the perceived standard of living within a country and explores the importance of energy structure augmentation. Featuring coverage on a wide range of topics including energy management, micro-grid, and distribution generation, this publication is targeted towards researchers, academicians, and students seeking relevant research on the augmentation of current energy structures to support existing standards of living.

Research on Ship Design and Optimization Based on Simulation-Based Design (SBD) Technique

Автор: Bao-Ji Zhang; Sheng-Long Zhang
Название: Research on Ship Design and Optimization Based on Simulation-Based Design (SBD) Technique
ISBN: 981134146X ISBN-13(EAN): 9789811341465
Издательство: Springer
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Цена: 130430.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Ship optimization design is critical to the preliminary design of a ship. With the rapid development of computer technology, the simulation-based design (SBD) technique has been introduced into the field of ship design. Typical SBD consists of three parts: geometric reconstruction; CFD numerical simulation; and optimization. In the context of ship design, these are used to alter the shape of the ship, evaluate the objective function and to assess the hull form space respectively. As such, the SBD technique opens up new opportunities and paves the way for a new method for optimal ship design. This book discusses the problem of optimizing ship’s hulls, highlighting the key technologies of ship optimization design and presenting a series of hull-form optimization platforms. It includes several improved approaches and novel ideas with significant potential in this field


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