Cover image for Sensors, sampling, and simulation for process control : 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
Title:
Sensors, sampling, and simulation for process control : 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
Publication Information:
Hoboken, NJ. : Wiley [Warrendale, Pa.] : TMS, 2011.
Physical Description:
xiv, 166 p. ; ill. ; 23 cm.
ISBN:
9781118036181

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30000010281304 TS156.8 S465 2011 Open Access Book Book
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Summary

Summary

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

R. Guthrie and M. IsacJ. FergusM. Isac and A. Chakraborty and L. Calzado and R. GuthrieM. Sukhram and S. ArgyropoulosK. Timmel and S. Eckert and T. Wondrak and F. Stefani and G. GerbethJ. Sengupta and R. Liu and D. Crosbie and S. Chung and M. Trinh and B. ThomasS. Cho and H. Lee and S. Kim and R. Chaudhary and B. Thomas and D. Lee and Y. Kim and W. Choi and S. Kim and H. KimN. Pethe and K. Zheng and D. Huin and C. Moretto and E. PoliakB. Petrus and K. Zheng and X. Zhou and B. Thomas and J. Bentsman and R. O'MalleyC. Bertrand and M. Marois and M. Désilets and G. SoucyM. LeBreux and M. Désilets and M. LacroixJ. Craig and T. Wakeman and R. Grylls and J. BullenC. Burnett and A. QuickB. Thomas and M. Wells and D. LiB. Thomas and M. OkelmanB. Binesh and J. Wiskel and A. Ben-Zvi and H. HeneinJ. MiddletonL. Zhang and A. Dong and S. Li
Forewordp. ix
Organizing Committeep. xi
Editorsp. xiii
Sensors, Sampling, and Simulation for Process Control
Liquid Metal Sensing and Online Measurement
In-Situ Sensors for Liquid Metal Qualityp. 3
Sensors for On-Line Monitoring of Molten Metal Qualityp. 15
Development of an Aqueous Particle Sensor (APSIII) System as a Research Tool for Studying the Behavior of Inclusions in Water Models of Tundish Operationsp. 27
The Development of a Sensor to Determine the Direction of Velocity in Liquid Aluminump. 35
New Sensors for the Velocity Measurement in Liquid Metal Processesp. 43
Measurement of Molten Steel Surface Velocity with SVC and Nail Dipping during Continuous Casting Processp. 51
Measurement of Transient Meniscus Flow in Steel Continuous Casters and Effect of Electromagnetic Brakingp. 59
Temperature-Related Process Monitoring Systems
Dynamic Run-Out Table Cooling Simulator and Temperature Controllersp. 69
Implementation of a Real-time Model-based Spray-cooling Control System for Steel Continuous Castingp. 77
Measurement of the Solidification Front inside a Metallurgical Reactorp. 85
Inverse Prediction and Control of the Bank Thickness in High Temperature Metallurgical Reactorsp. 95
Online Imaging Pyrometer for Laser Deposition Processingp. 103
Optimization of Continuous Hot Dipped Galvanization Lines through the Addition of a Hot Coating Weight Sensorp. 111
Monitoring of Meniscus Thermal Phenomena with Thermocouples in Continuous Casting of Steelp. 119
Implementation of Temperature and Strain Micro-Sensors into a Casting Mold Surfacep. 127
Skelp Temperature Profile Control during Laminar Cooling using Genetic Algorithmsp. 135
Steel Processing; Online Sensors
Comprehensive Integrated Level 2 Melt Shop Management Systemsp. 147
Analysis of the Transient Phenomena during Steel Continuous Casting through the On-line Detection Datap. 155
Author Indexp. 163
Subject Indexp. 165