Design of High Temperature Ti–Al–Cr–V Alloys for Maximum Thermodynamic Stability Using Self-Organizing Maps

Data generated for the Ti−Al−Cr−V system of metallic alloys from our previous publication, where the composition of 102 alloys were computationally Pareto optimized with the objective of simultaneously maximizing the Young’s modulus and minimizing density for...

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Main Authors: Rajesh Jha, George S. Dulikravich
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Metals
Subjects:
Online Access:https://www.mdpi.com/2075-4701/9/5/537
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spelling doaj-30bb023908a74faf82d5353facfbc5202020-11-25T02:07:04ZengMDPI AGMetals2075-47012019-05-019553710.3390/met9050537met9050537Design of High Temperature Ti–Al–Cr–V Alloys for Maximum Thermodynamic Stability Using Self-Organizing MapsRajesh Jha0George S. Dulikravich1Department of Mechanical and Materials Engineering, Multidisciplinary Analysis, Inverse Design and Robust Optimization Center (MAIDROC) Laboratory, Florida International University, Miami, FL 33174, USADepartment of Mechanical and Materials Engineering, Multidisciplinary Analysis, Inverse Design and Robust Optimization Center (MAIDROC) Laboratory, Florida International University, Miami, FL 33174, USAData generated for the Ti−Al−Cr−V system of metallic alloys from our previous publication, where the composition of 102 alloys were computationally Pareto optimized with the objective of simultaneously maximizing the Young’s modulus and minimizing density for a range of temperatures, was the starting point of the current research, where compositions at different temperatures of these alloys were analyzed for phase stability in order to generate new data for compositions and volume fractions of stable phases at various temperatures. This resulted in a large dataset where a lot of data were still missing as all the phases are not stable at a given temperature for all the compositions. The concept of Self-Organizing Maps (SOM) was then applied to determine correlations between alloy compositions, stabilities of desired phases at various temperatures, associated Young’s moduli and densities, and the effect of the composition of phases on these properties. This work should help alloy designers to determine the required chemical composition of a new alloy with reference to the temperature of application of that alloy and see the effect of temperature and composition on stable phases and associated properties of alloys.https://www.mdpi.com/2075-4701/9/5/537Self-Organizing MapsCALPHADThermo-Calc Software 2018BJMatProalloys design
collection DOAJ
language English
format Article
sources DOAJ
author Rajesh Jha
George S. Dulikravich
spellingShingle Rajesh Jha
George S. Dulikravich
Design of High Temperature Ti–Al–Cr–V Alloys for Maximum Thermodynamic Stability Using Self-Organizing Maps
Metals
Self-Organizing Maps
CALPHAD
Thermo-Calc Software 2018B
JMatPro
alloys design
author_facet Rajesh Jha
George S. Dulikravich
author_sort Rajesh Jha
title Design of High Temperature Ti–Al–Cr–V Alloys for Maximum Thermodynamic Stability Using Self-Organizing Maps
title_short Design of High Temperature Ti–Al–Cr–V Alloys for Maximum Thermodynamic Stability Using Self-Organizing Maps
title_full Design of High Temperature Ti–Al–Cr–V Alloys for Maximum Thermodynamic Stability Using Self-Organizing Maps
title_fullStr Design of High Temperature Ti–Al–Cr–V Alloys for Maximum Thermodynamic Stability Using Self-Organizing Maps
title_full_unstemmed Design of High Temperature Ti–Al–Cr–V Alloys for Maximum Thermodynamic Stability Using Self-Organizing Maps
title_sort design of high temperature ti–al–cr–v alloys for maximum thermodynamic stability using self-organizing maps
publisher MDPI AG
series Metals
issn 2075-4701
publishDate 2019-05-01
description Data generated for the Ti−Al−Cr−V system of metallic alloys from our previous publication, where the composition of 102 alloys were computationally Pareto optimized with the objective of simultaneously maximizing the Young’s modulus and minimizing density for a range of temperatures, was the starting point of the current research, where compositions at different temperatures of these alloys were analyzed for phase stability in order to generate new data for compositions and volume fractions of stable phases at various temperatures. This resulted in a large dataset where a lot of data were still missing as all the phases are not stable at a given temperature for all the compositions. The concept of Self-Organizing Maps (SOM) was then applied to determine correlations between alloy compositions, stabilities of desired phases at various temperatures, associated Young’s moduli and densities, and the effect of the composition of phases on these properties. This work should help alloy designers to determine the required chemical composition of a new alloy with reference to the temperature of application of that alloy and see the effect of temperature and composition on stable phases and associated properties of alloys.
topic Self-Organizing Maps
CALPHAD
Thermo-Calc Software 2018B
JMatPro
alloys design
url https://www.mdpi.com/2075-4701/9/5/537
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