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Title:Modelling and optimization of sulfur addition during 70MnVS4 steelmaking: An industrial case study : an industrial case study
Authors:ID Kovačič, Miha (Author)
ID Lešer, B. (Author)
ID Brezočnik, Miran (Author)
Files:.pdf APEM16-2_253-261.pdf (503,87 KB)
MD5: 1D881B4B6E21D488F7FAB05F6FFFD160
 
URL https://apem-journal.org/Archives/2021/Abstract-APEM16-2_253-261.html
 
Language:English
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FS - Faculty of Mechanical Engineering
Abstract:Štore Steel Ltd. is one of the major flat spring steel producers in Europe. Among several hundred steel grades, 70MnVS4 steel is also produced. In the paper optimization of steelmaking of 70MnVS4 steel is presented. 70MnVS4 is a high-strength microalloyed steel which is used for forging of connecting rods in the automotive industry. During 70MnVS4 ladle treatment, the sulfur addition in the melt should be conducted only once. For several reasons the sulfur is repeatedly added and therefore threatening clogging during continuous casting and as such influencing surface defects occurrence and steel cleanliness. Accordingly, the additional sulfur addition was predicted using linear regression and genetic programming. Following parameters were collected within the period from January 2018 to December 2018 (78 consequently cast batches): sulfur and carbon cored wire addition after chemical analysis after tapping, carbon, manganese and sulfur content after tapping, time between chemical analysis after tapping and starting of the casting, ferromanganese and ferrosilicon addition and additional sulfur cored wire addition. Based on modelling results it was found out that the ferromanganese is the most influential parameter. Accordingly, 12 consequently cast batches (from February 2019 to October 2019) were produced with as lower as possible addition of ferromanganese. The additional sulfur addition in all 12 cases was not needed. Also, the melt processing time, surface quality of rolled material and sulfur cored wire consumption did not change statistically significantly after reduction of ferromanganese addition. The steel cleanliness was statistically significantly better.
Keywords:metallurgy, steelmaking, high-strength steel 70MnVS4, microalloyed steel, modelling, optimization, evolutionary algorithms, genetic programming, multiple linear regression
Publication status:Published
Publication version:Version of Record
Submitted for review:03.04.2021
Article acceptance date:12.06.2025
Publication date:25.06.2021
Publisher:Univerza v Mariboru
Year of publishing:2021
Number of pages:str. 253-261
Numbering:Vol. 16, no. 2
PID:20.500.12556/DKUM-97325 New window
UDC:669.1:620.1
ISSN on article:1854-6250
COBISS.SI-ID:80162307 New window
DOI:10.14743/apem2021.2.398 New window
Publication date in DKUM:27.02.2026
Views:145
Downloads:9
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Record is a part of a journal

Title:Advances in production engineering & management
Shortened title:Adv produc engineer manag
Publisher:Fakulteta za strojništvo, Inštitut za proizvodno strojništvo
ISSN:1854-6250
COBISS.SI-ID:229859072 New window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:metalurgija, jeklarstvo, jeklo visoke trdnosti 70MnVS4, mikrolegirano jeklo, modeliranje, optimizacija, evolucijski algoritmi, genetsko programiranje, večfaktorska linearna regresija


Collection

This document is a part of these collections:
  1. Advances in production engineering & management

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