Sensors, Sampling, and Simulation for Process Control

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.

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.

Foreword.Organizing Committee.
Editors.
Sensors, Sampling, and Simulation for ProcessControl.
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 aResearch Tool for Studying the Behavior of Inclusions in WaterModels of Tundish Operations (M. Isac, A. Chakraborty, L.Calzado, and R. Guthrie).
The Development of a Sensor to Determine the Direction ofVelocity in Liquid Aluminum (M. Sukhram, and S.Argyropoulos).
New Sensors for the Velocity Measurement in Liquid MetalProcesses (K. Timmel, S. Eckert, T. Wondrak, F. Stefani, and G.Gerbeth).
Measurement of Molten Steel Surface Velocity with SVC and NailDipping during Continuous Casting Process (J. Sengupta, R. Liu,D. Crosbie, S. Chung, M. Trinh, and B. Thomas).
Measurement of Transient Meniscus Flow in Steel ContinuousCasters 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 TemperatureControllers (N. Pethe, K. Zheng, D. Huin, C. Moretto, and E.Poliak).
Implementation of a Real-time Model-based Spray-cooling ControlSystem 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 MetallurgicalReactor (C. Bertrand, M. Marois, M. Désuets, and G.Soucy).
Inverse Prediction and Control of the Bank Thickness in HighTemperature Metallurgical Reactors (M. LeBreux, M. Désuets,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 Linesthrough the Addition of a Hot Coating Weight Sensor (C. Burnett,and A. Quick).
Monitoring of Meniscus Thermal Phenomena with Thermocouples inContinuous Casting of Steel (B. Thomas, M. Wells, andD.Li).
Implementation of Temperature and Strain Micro-Sensors into aCasting Mold Surface (B. Thomas, and M. Okelman).
Skelp Temperature Profile Control during Laminar Cooling usingGenetic 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 ContinuousCasting through the On-line Detection Data (L. Zhang, A. Dong,and S. Li).
Author Index.
Subject Index.