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Metal Data Model Development Projects


Product properties improvement




Client / Employer


Increasing reductions in the later roughing and finishing passes to improve mechanical properties with adjustments in roll bending schedules.

An offline model was used to propose the optimum roughing and finishing passes. Mechanical properties were most improved by increasing the reductions in the passes at about 1/2 the slab thickness and in the final passes. A C++ subroutine to adjust the drafting was used as necessary for higher reductions.

Nanjing, LPN


Increasing the accuracy of crown predictions with better models of deflection and statistical tuning.

A model of the crown of the work roll that predicted the crown changes during each pass was used to improve the prediction of the plate crown and shape. Existing crown models in the level 1 and level 2 were adjusted to reproduce the predictions in the offline model.

Ipsco, OSM


Increasing the control of mechanical properties and bow with feed forward laminar quenching model that included balanced patterns of water flow.

A model of the temperature distribution in the plate during cooling by upper and lower laminar headers was used to predict the plastic and elastic strain that was caused by particular patterns of water. The adjustments in the distribution of water from the headers to balance the plastic strain were recommended. The approaches to decrease the plastic strain and avoid turning the elastic strain into plastic deformation in the leveler were recommended. Practices for responding to temperature differences across the plate and between the top and bottom surfaces were recommended.

Bethlehem, Ipsco, Nanjing


Decreasing the segregation and cracking on continuous caster by tuning of soft reduction, oscillation and water distribution

Cooling and solidification models for carbon and stainless steel were used for the continuous caster. The detailed models of the soft reduction to control segregation in different types of steel were used to evaluate the conditions. Casting speeds, water flow and setting for the level1 and level 2 parameters were recommended from the models.

Allegheny Ludlum, SMS

    Project Categories (Notes)

     1.  Development on Level 2 Systems & Libraries/Packs
     2.  Support on Level 2 Systems/Models/Logics
     3.  Product properties improvement
     4.  Application development
     5.  Productivity Improvement
     6.  Design & Development
     7.  Process Modeling - Numerical
     8.  Process Modeling - Empirical
     9.  Shape and yield improvement
    10. Web and Web Resource


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