Synopsis
· New strategies and hardware for guided processing & manufacturing of new materials · Numerical analyses, modeling, software, sensors, robotics, forming technologies · Manufacturing, energy, environment, instrumentation, metrology · Materials science, nanoscale structures and materials · 88 original refereed papers from researchers around the world -------------------------------------------------------------------------------- This new book offers important research for software and hardware developed to produce and process materials using higher-level automatic and intelligent systems. Application areas cover manufacturing, nanomaterials, environmental technologies, energy systems, and instrumentation. The book presents new ideas for materials manufacturing applications of: fuzzy logic, neural networks, genetic algorithms, finite element and finite difference modeling, thermodynamic modeling, first-principles modeling, and data-correlation techniques such as Linear Regression and Principal Component Analysis. It also provides information on hardware, including industrial automation, robotics, optical and hyperspectral sensors, as well as conventional and new processes to solidify, form or machine metals and materials. Selected chapter headings: Neural Networks; Process Control and Optimization; Environmental Systems; Intelligent Applications for Energy Systems; Materials Science; Intelligent Processing; Nanoscale Materials. -------------------------------------------------------------------------------- TABLE OF CONTENTS Preface Chapter 1: Philosophy · Welcome to IPPM'03—Nanotechnology: Do Good Things Really Come in Small Packages? · On the Mechanics of Morals · Emergence and Complex Systems: Towards New Practices for Industrial Automation PART 1: COMPUTATIONAL INTELLIGENCE AND SOFT COMPUTING Chapter 2: Fuzzy Systems · On Kernel-Based Fuzzy Cluster Loading · Fuzzy Evolutionary Approach to Determination of Dietary Composition for Diabetics · Intelligent Information Technology: From Autonomic to Autonomous Systems · Design of a Fuzzy Controller for a Microwave Monomode Cavity for Soot Trap Filter Regeneration · Optimal Operating Parameters in Fuzzy-Assisted Microwave Removal of Carbon Particulate from Ceramic Filters · Fuzzy Probability for Modelling Particle Preparation Processes · Prediction of Charpy Impact Properties Using Fuzzy Modelling on Ship Structural Steels Chapter 3: Artificial Neural Networks · Artificial Intelligence in Large-Scale Simulations of Materials · Application of an Artificial Neural Network to the Control of an Oxygen Converter Process · Improving the Prediction of the Roll Separating Force in a Hot Steel Finishing Mill · A Solution to the N-Body Problem for Particles of Non-Spherical Geometry Using Artificial Intelligence · Distributed Backpropagation Neural Network System for Pattern Recognition Using JavaSpaces · Eccentricity and Hardness Control in Cold Rolling Mills with a Dynamically Constructed Neural Controller Chapter 4: Process Control and Simulation for Optimization · Level Control Model by Numerical Fluid Dynamics Method · H-infinity Control of Micromolecular State Transition of a Sodium Ion Channel Gating System · Defeasible Deontic Traffic Light Control Based on a Paraconsistent Logic Program EVALPSN · Development of an Electrorheological Bypass Damper for Railway Vehicles—Estimation of Damper Capacity from the Prototype · A Concept for Simulation-Based Optimization of Sheet Metal Forming Processes · Multiple Layer Control Method Chapter 5: Intelligence in Environmental Applications · Morphological and Morphometrical Characteristics of Ornamental Stone Airborne Dusts: Capture and Filtration · Advanced Sampling and
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