Sensors, sampling, and simulation for process control
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Bibliographic Information
Sensors, sampling, and simulation for process control
John Wiley & Sons, c2011
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"Proceedings of a symposium sponsored by the Process Technology and Modeling Committee and the Solidification Committee of the Extraction and Processing Division of TMS (The Minerals, Metals & Materials Society) and Association for Iron and Steel Technology (AIST) ; held during the TMS 2011 Annual Meeting & Exhibition, San Diego, California, USA, February 27-March 3, 2011."--t.p
Includes bibliographical references and index
Description and Table of Contents
Description
This symposium aims to explore the current state of the art in control of industrial processes in the field of extraction and processing of metals and materials. New sensor technologies, more advanced real-time models, and faster computers are enabling better control systems for these processes. Specific topics include but are not limited to: (1) novel sensors for hostile-environment materials processes, such as online inclusion detection, temperature, and velocity in molten materials, surface condition of hot moving products, etc.; (2) innovative online sampling and analysis techniques, (3) models for real-time process control and quality monitoring systems; (4) process automation, scheduling, and plant-wide logistics optimization, (5) control of composition, temperature, microstructure, and morphology in sintering, smelting, refining, solidification, reheating, deformation, and transport of ores, slags, mattes, metals, materials, and aqueous solutions; (6) prediction, monitoring, control, and optimization of process parameters in these systems; (7) control in manufacturing processes, including casting, annealing, forging, rolling, extrusion, powder metallurgy, electronic materials, welding, etc.; (8) control of impurities and environmentally undesirable components in product and waste streams.
Table of Contents
Foreword.
Organizing Committee.
Editors.
Sensors, Sampling, and Simulation for Process Control.
Liquid Metal Sensing and Online Measurement.
In-Situ Sensors for Liquid Metal Quality (R. Guthrie, and M. Isac).
Sensors for On-Line Monitoring of Molten Metal Quality (J. Fergus).
Development of an Aqueous Particle Sensor (APSIII) System as a Research Tool for Studying the Behavior of Inclusions in Water Models of Tundish Operations (M. Isac, A. Chakraborty, L. Calzado, and R. Guthrie).
The Development of a Sensor to Determine the Direction of Velocity in Liquid Aluminum (M. Sukhram, and S. Argyropoulos).
New Sensors for the Velocity Measurement in Liquid Metal Processes (K. Timmel, S. Eckert, T. Wondrak, F. Stefani, and G. Gerbeth).
Measurement of Molten Steel Surface Velocity with SVC and Nail Dipping during Continuous Casting Process (J. Sengupta, R. Liu, D. Crosbie, S. Chung, M. Trinh, and B. Thomas).
Measurement of Transient Meniscus Flow in Steel Continuous Casters and Effect of Electromagnetic Braking (S. Cho, H. Lee, S. Kim, R. Chaudhary, B. Thomas, D. Lee, Y. Kim, W. Choi, S. Kim, and H. Kim).
Temperature-Related Process Monitoring Systems.
Dynamic Run-Out Table Cooling Simulator and Temperature Controllers (N. Pethe, K. Zheng, D. Huin, C. Moretto, and E. Poliak).
Implementation of a Real-time Model-based Spray-cooling Control System for Steel Continuous Casting (B. Petrus, K. Zheng, X. Zhou, B. Thomas, J. Bentsman, and R. O'Malley).
Measurement of the Solidification Front inside a Metallurgical Reactor (C. Bertrand, M. Marois, M. Desuets, and G. Soucy).
Inverse Prediction and Control of the Bank Thickness in High Temperature Metallurgical Reactors (M. LeBreux, M. Desuets, and M. Lacroix).
Online Imaging Pyrometer for Laser Deposition Processing (J. Craig, T. Wakeman, R. Grylls, and J. Bullen).
Optimization of Continuous Hot Dipped Galvanization Lines through the Addition of a Hot Coating Weight Sensor (C. Burnett, and A. Quick).
Monitoring of Meniscus Thermal Phenomena with Thermocouples in Continuous Casting of Steel (B. Thomas, M. Wells, andD. Li).
Implementation of Temperature and Strain Micro-Sensors into a Casting Mold Surface (B. Thomas, and M. Okelman).
Skelp Temperature Profile Control during Laminar Cooling using Genetic Algorithms (B. Binesh, J. Wiskel, A. Ben-Zvi, and H. Henein).
Steel Processing: Online Sensors.
Comprehensive Integrated Level 2 Melt Shop Management Systems (J. Middleton).
Analysis of the Transient Phenomena during Steel Continuous Casting through the On-line Detection Data (L. Zhang, A. Dong, and S. Li).
Author Index.
Subject Index.
by "Nielsen BookData"