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Media type:
E-Article
Title:
Recalculation of Flow Stresses from Industrial Process Data for Heavy Plate Rolling Using a 2D Finite Element Model
Contributor:
Parteder, Erik;
Zeman, Klaus;
Du, Huiying;
Grill, Rainer
imprint:
Wiley, 2012
Published in:steel research international
Language:
English
DOI:
10.1002/srin.201100179
ISSN:
1869-344X;
1611-3683
Origination:
Footnote:
Description:
<jats:title>Abstract</jats:title><jats:p>In hot rolling, the quantities rolling load, torque, and power consumption are important measurable process parameters. For the determination of rolling loads in hot flat rolling processes, like heavy plate rolling, Sims's model<jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#bib1">1</jats:ext-link> is a well‐known approach represented by an analytical formula. The solution of Sims's equation leads to the multiplier <jats:italic>Q</jats:italic>, which is a function of the roll gap geometry. The rolling load is then computed by applying the width of the plate, the contact length, the multiplier, and an average material flow stress called <jats:italic>k</jats:italic><jats:sub>fm</jats:sub>. This flow stress is commonly recalculated from process data as a function of temperature, pass strain, and a mean strain rate, applying the Sims model itself. One question arises from this method: Are the recalculated flow stresses physically based values or in other words, what is the (physical) meaning or interpretation of these values? The present paper tries to give an answer to this question by determining the influence of the roll gap geometry alternatively by means of a simple 2D FEM model which gives a corresponding multiplier referred to as <jats:italic>Q</jats:italic><jats:sub>FE</jats:sub>. Flow stresses are recalculated from a set of process data using both factors. The results are compared to experimental flow stress data from hot compression tests. It is shown, that the recalculated flow stresses using <jats:italic>Q</jats:italic><jats:sub>FE</jats:sub> are in better agreement with the laboratory data than the recalculated values using Sims's <jats:italic>Q</jats:italic>.</jats:p>