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Modeling and Analysis of Mechanical Properties in Structural Steel-DOE Approach

A. Bhatt M.B. Parappagoudar
Archives of Foundry Engineering | 2015 | No 4 | DOI: 10.1515/afe-2015-0069
Keywords structural steel Alloying elements Linear model
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Abstract

The present work focuses on the modeling and analysis of mechanical properties of structural steel. The effect of major alloying elements

namely carbon, manganese and silicon has been investigated on mechanical properties of structural steel. Design of experiments is used to

develop linear models for the responses namely Yield strength, Ultimate tensile strength and Elongation. The experiments have been

conducted as per the full factorial design where all process variables are set at two levels. The main effect plots showed that the alloying

elements Manganese and Silicon have positive contribution on Ultimate tensile strength and Yield strength. However, Carbon and

Manganese showed more contribution as compared to Silicon. All three alloying elements are found to have negative contribution

towards the response- Elongation. The present work is found to be useful to control the mechanical properties of structural steel by varying

the major alloying elements. Minitab software has been used for statistical analysis. The linear regression models have been tested for the

statistical adequacy by utilizing ANOVA and statistical significance test. Further, the prediction capability of the developed models is

tested with the help of test cases. It is found that all linear regression models are found to be statistically adequate with good prediction

capability. The work is useful to foundrymen to choose alloying elements composition to get desirable mechanical properties.

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Authors and Affiliations

A. Bhatt
M.B. Parappagoudar

Case-Based Reasoning System for the Selection of Silumin Alloying Elements

G. Rojek K. Regulski S. Kluska-Nawarecka D. Wilk-Kołodziejczyk
Archives of Foundry Engineering | 2018 | vol.18 | No 3 | 126-131
Keywords Application of Information Technology to the Foundry Industry mechanical properties Silumin Alloying Elements Casebased Reasoning
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Abstract

This work presents the project of the application of Case-based reasoning (CBR) methodology to an advisory system. This system should give an assistance by selection of proper alloying additives in order to obtain a material with predetermined mechanical properties. The considered material is silumin EN AC-46000 (hypoeutectic Al-Si alloy) that is modified by the addition of Cr, Mo, V and W elements in the range from 0% to 0.5% in the modified alloy. The projected system should indicate to the user the content of particular additives so that the obtained material is in the chosen range of parameters: tensile strength Rm, yield strength Rp0.2, elongation A and hardness HB. The CBR methodology solves new problems basing on the solutions of similar problems resolved in the past. The advantage of the CBR application is that the advisory system increases knowledge base as the subsequent use of the system. The presented design of the advisory system also considers issues related to the ergonomics of its operation.
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Authors and Affiliations

G. Rojek
K. Regulski
S. Kluska-Nawarecka
D. Wilk-Kołodziejczyk

Influence of High-Temperature Oxidizing Conditions on AlCoCrCuNi High Entropy Alloys with and without Silicon Addition

R. Gawel Ł. Rogal K. Przybylski Kenji Matsuda
Archives of Metallurgy and Materials | 2022 | vol. 67 | No 2 | 471-478 | DOI: 10.24425/amm.2022.137779
Keywords high entropy alloys high temperature oxidation phase analysis alloying element
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Abstract

Initial investigations on oxidation behaviour and phase transformations of equimolar AlCoCrCuNi high entropy alloy with and without 1 at.% silicon addition during 24-hr exposure to air atmosphere at 1273 K was carried out in this work. After determining the oxidation kinetics of the samples by means of thermogravimetric analysis, the morphology, chemical and phase compositions of the oxidized alloys were determined by means of scanning electron microscopy, energy dispersive X-ray spectroscopy and X-ray diffraction analysis. Additional cross-section studies were performed using transmission electron microscopy combined with energy dispersive X-ray spectroscopy and selected area electron diffraction. From all these investigations, it can be concluded that minor silicon addition improves the oxidation kinetics and hinders the formation of an additional FCC structure near the surface of the material.
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Authors and Affiliations

R. Gawel
1
Ł. Rogal
2
ORCID: ORCID
K. Przybylski
1
Kenji Matsuda
3
  1. AGH University of Science and Technology, Faculty of Materials Science and Ceramics, Department of Physical Chemistry and Modelling, Al. Mickiewicza 30, 30 -059 Kraków, Poland
  2. Polish Academy of Sciences, Institute of Metallurgy and Materials, 25 Reymonta Str., 30-059 Kraków, Poland
  3. University of Toyama, Faculty of Sustainable Design, Department of Materials Design and Engineering, 3190 Gofuku, Toyama 930-8555, Japan

Application of Artificial Neural Network to Predict the Tensile Properties of Dual-Phase Steels

Seung-Hyeok Shin Sang-Gyu Kim Byoungchul Hwang
Archives of Metallurgy and Materials | 2021 | vol. 66 | No 3 | 719-723 | DOI: 10.24425/amm.2021.136368
Keywords Artificial Neural Network (ANN) dual-phase steels alloying element microstructural factor tensile properties
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Abstract

An artificial neural network (ANN) model was developed to predict the tensile properties of dual-phase steels in terms of alloying elements and microstructural factors. The developed ANN model was confirmed to be more reasonable than the multiple linear regression model to predict the tensile properties. In addition, the 3D contour maps and an average index of the relative importance calculated by the developed ANN model, demonstrated the importance of controlling microstructural factors to achieve the required tensile properties of the dual-phase steels. The ANN model is expected to be useful in understanding the complex relationship between alloying elements, microstructural factors, and tensile properties in dual-phase steels.
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Authors and Affiliations

Seung-Hyeok Shin
1
ORCID: ORCID
Sang-Gyu Kim
1
ORCID: ORCID
Byoungchul Hwang
1
ORCID: ORCID
  1. Seoul National University of Science and Technology, Department of Materials Science and Engineering, Seoul, 01811, Republic of Korea

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