Version 1
: Received: 31 July 2024 / Approved: 2 August 2024 / Online: 2 August 2024 (05:41:08 CEST)
How to cite:
Tomašić, N.; Sitek, W.; Gemechu, W. F.; Iljkić, D. Designing the Chemical Composition of Steel with Required Hardenability Using Computational Methods. Preprints2024, 2024080140. https://doi.org/10.20944/preprints202408.0140.v1
Tomašić, N.; Sitek, W.; Gemechu, W. F.; Iljkić, D. Designing the Chemical Composition of Steel with Required Hardenability Using Computational Methods. Preprints 2024, 2024080140. https://doi.org/10.20944/preprints202408.0140.v1
Tomašić, N.; Sitek, W.; Gemechu, W. F.; Iljkić, D. Designing the Chemical Composition of Steel with Required Hardenability Using Computational Methods. Preprints2024, 2024080140. https://doi.org/10.20944/preprints202408.0140.v1
APA Style
Tomašić, N., Sitek, W., Gemechu, W. F., & Iljkić, D. (2024). Designing the Chemical Composition of Steel with Required Hardenability Using Computational Methods. Preprints. https://doi.org/10.20944/preprints202408.0140.v1
Chicago/Turabian Style
Tomašić, N., Wendimu Fanta Gemechu and Dario Iljkić. 2024 "Designing the Chemical Composition of Steel with Required Hardenability Using Computational Methods" Preprints. https://doi.org/10.20944/preprints202408.0140.v1
Abstract
This paper introduces an innovative approach that enables automated and precise prediction of the steel's chemical composition based on the desired Jominy curve. The microstructure, and in fact the presence of martensite, is decisive for the hardness of the steel, so the study considered the occurrence of this phase at particular distances from the quenched-end of the Jominy sample. Steels for quenching and tempering and case hardening were investigated. With representative collected dataset of hardness values from quenched-end of Jominy specimen, microstructure and chemical composition of steels, the complex regression model was made using supervised artificial neural networks. The balance between cost and required hardenability can be achieved through optimizing the chemical composition of steel. This model of designing steel with required hardenability can be of great benefit in the mechanical engineering and manufacturing industry. The model is verified experimentally.
Keywords
hardenability; chemical composition; microstructure; artificial neural networks
Subject
Engineering, Mechanical Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
