scholarly journals AISI/DOE Advanced Process Control Program Vol. 3 of 6: MICROSTRUCTURAL ENGINEERING IN HOT-STRIP MILLS Part 2 of 2: Constitutive Behavior Modeling of Steels Under Hot-Rolling Conditions

1999 ◽  
Author(s):  
Yi-Wen Cheng ◽  
Patrick Purtscher
Keyword(s):  
Process Control ◽  
Hot Rolling ◽  
Control Program ◽  
Behavior Modeling ◽  
Constitutive Behavior ◽  
Advanced Process Control ◽  
Hot Strip ◽  
Hot Strip Mills ◽  
Hot Rolling Conditions

scholarly journals AISI/DOE Advanced Process Control Program Vol. 3 of 6 Microstructure Engineering in Hot Strip Mills, Part 1 of 2: Integrated Mathematical Model

1999 ◽  
Author(s):  
J.K. Brimacombe ◽  
I.V. Samarasekera ◽  
E.B. Hawbolt ◽  
T.R. Meadowcroft ◽  
M. Militzer ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Process Control ◽  
Control Program ◽  
Advanced Process Control ◽  
Hot Strip ◽  
Hot Strip Mills

Statistical Evaluation of Some Hot Rolling Theories

1982 ◽  
Vol 104 (1) ◽  
pp. 47-52 ◽  
Author(s):  
A. Murthy ◽  
J. G. Lenard
Keyword(s):  
Experimental Data ◽  
Hot Rolling ◽  
Laboratory Experiments ◽  
Statistical Evaluation ◽  
Low Carbon ◽  
Flow Strength ◽  
Hsla Steels ◽  
Accuracy And Precision ◽  
Hot Strip ◽  
Hot Strip Mills

The accuracy and precision of four mathematial models of varying complexity are evaluated by comparing their predictions to experimental data generated in carefully controlled laboratory experiments and to production logs obtained from the finishing trains of several Canadian, American, and European hot strip mills. The materials rolled are low carbon and HSLA steels; the models used are Orowan’s formulation with Shida’s flow strength and Ford and Alexander’s formulation with Shida’s flow strength; then both these formulations are combined with Ekelund’s flow strength equation. It is concluded that Orowan’s formulation with Shida’s flow strength relation is the most consistently accurate technique of analysis. Further, the behavior of HSLA steels is not well described by either Shida’s or Ekelund’s equations.

scholarly journals Improvement of the Method for Calculating the Metal Temperature Loss on a Coilbox Unit at The Rolling on Hot Strip Mills

2018 ◽  
Vol 7 (4.3) ◽  
pp. 35 ◽  
Author(s):  
Volodymyr Kukhar ◽  
Oleksandr Kurpe ◽  
Eduard Klimov ◽  
Elena Balalayeva ◽  
Vladimir Dragobetskii
Keyword(s):  
Hot Rolling ◽  
Control Process ◽  
Rolling Process ◽  
Metal Temperature ◽  
Microalloyed Steels ◽  
Simulation Accuracy ◽  
Hot Strip ◽  
Temperature Loss ◽  
Hot Strip Mills ◽  
Improved Model

The paper improves the calculation methodology of metal temperature loss during hot rolling process at continuous mills. The proposed methodology can be implemented at hot strip mills with various in-line equipment arrangements within the temperature ranges appropriate for processes simulation of hot rolling, normalized rolling and Thermo-Mechanical Control Process of carbon and microalloyed steels. It provides engineering analysis of unaccounted temperature losses of feed by means of radiation and convection, which, in the first time, through the time factor, additionally accounts for strip motion speed factors, roller table length and feed length, and also length of rolls contact arc with metal. The accountability of the above mentioned factors in the various compositions depending on the rolling method increases the engineering simulation accuracy, ensures the versatility of the elaborated method with respect to different types of mills and makes the scientific novelty of the study. The equations were developed to calculate the metal temperature loss while coiling at the CoilBox unit. The equations accounts for the influence on the temperature of strip length, coiling and uncoiling speed, strip thickness, inside radius of the reeling coil, the time the feed rests being coiled. The improved model was verified based on actual data. 

scholarly journals AISI/DOE Advanced Process Control Program Vol. 5 of 6: Phase Measurement of Galvanneal

1999 ◽  
Author(s):  
Cristopher Burnett ◽  
Ronald Guel ◽  
James R. Philips ◽  
L. Lowry ◽  
Beverly Tai
Keyword(s):  
Process Control ◽  
Phase Measurement ◽  
Control Program ◽  
Advanced Process Control
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