MATHEMATICAL MODEL FOR EVALUATING LANKFORD COEFFICIENT IN AUTOMOTIVE SHEET STEELS

1 VASILYEV Alexander
Co-authors:
1 SOKOLOV Dmitry 1 SOKOLOV Semen 1 GLUКHOV Pavel 1 RUDSKOY Andrey
Institution:
1 Peter the Great St.Petersburg Polytechnic University, St.Petersburg, Russian Federation, vasilyev_aa@mail.ru
Conference:
27th International Conference on Metallurgy and Materials, Hotel Voronez I, Brno, Czech Republic, EU, May 23rd - 25th 2018
Proceedings:
Proceedings 27th International Conference on Metallurgy and Materials
Pages:
903-909
ISBN:
978-80-87294-84-0
ISSN:
2694-9296
Published:
24th October 2018
Proceedings of the conference were published in Web of Science and Scopus.
Metrics:
31 views / 8 downloads
Abstract

In this paper we present a mathematical model for evaluating the Lankford coefficient (LС) in automotive sheet steels as a function of the ferrite grain size after hot rolling, the degree of cold rolling reduction, the chemical composition, and the volume fractions of perlite and bainite in the final structure. Empirical parameters values of the model were determined using the experimental data base on average LC in 138 strips of 13 steel grades, produced at PJSC Severstal, with a significant range of chemical composition variation. Complementary, databases on calculated steel microstructure parameters after hot rolling, and after heat treatment of cold-rolled strips on a continuous annealing line were used when creating the model. There is a satisfactory agreement between the results of LC calculations made by the developed model and the experimental data. The mean absolute value of relative error in the calculations for considered steels is 7.1 %.

Keywords: Mathematical modelling, Lankford coefficient, automotive steels, cold rolling, annealing
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