Assessment of Nonhomogeneous Structures in Steel Contents in Terms of Fatigue Resistance Using Analytical Hierarchy Process

Fatigue resistance of steel containing non-metallic inclusions (NMIs) varies widely, depending on many criteria; therefore, finding the most compromised types of NMIs is a sober objective that may significantly reduce severe damage and premature failure in many applications, such as bearings, gears,...

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Main Authors: Ali Al-Maliki, Jasim H. Al-Bedhany, Tahseen Ali Mankhi, Stanislaw Legutko
Format: Article
Language:English
Published: Lublin University of Technology 2024-02-01
Series:Advances in Sciences and Technology
Subjects:
Online Access:http://www.astrj.com/Assessment-of-Nonhomogeneous-Structures-in-Steel-Contents-in-Terms-of-Fatigue-Resistance,182286,0,2.html
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author Ali Al-Maliki
Jasim H. Al-Bedhany
Tahseen Ali Mankhi
Stanislaw Legutko
author_facet Ali Al-Maliki
Jasim H. Al-Bedhany
Tahseen Ali Mankhi
Stanislaw Legutko
author_sort Ali Al-Maliki
collection DOAJ
description Fatigue resistance of steel containing non-metallic inclusions (NMIs) varies widely, depending on many criteria; therefore, finding the most compromised types of NMIs is a sober objective that may significantly reduce severe damage and premature failure in many applications, such as bearings, gears, transmission shafts, etc. The Multiple Criteria Decision-Making (MCDM) methodologies have been used in this study to assess the more effective NMI types using the Analytical Hierarchy Process (AHP) by Expert Choice (EC) software. The five most common types of non-metallic inclusions selected are oxides, sulfides, carbides, silicates, and nitrides, based on different criteria: size, shape, distribution, mechanical properties, and quantity. The results showed that the oxide NMIs are the optimum type relative to the other four options regarding the fatigue resistance of about 35%, probably due to their spherical shape and small size. The most dominant criterion is mechanical properties, which have an effective percentage of 34.6% among the other criteria. It means that the reduction of other types rather than oxide NMIs probably enhances the fatigue resistance of the steel.
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spelling doaj.art-06b268b84315499d948ee9e52fd06ea92024-01-27T08:30:32ZengLublin University of TechnologyAdvances in Sciences and Technology2080-40752299-86242024-02-0118133434810.12913/22998624/182286182286Assessment of Nonhomogeneous Structures in Steel Contents in Terms of Fatigue Resistance Using Analytical Hierarchy ProcessAli Al-Maliki0Jasim H. Al-Bedhany1https://orcid.org/0000-0001-8139-2605Tahseen Ali Mankhi2https://orcid.org/0000-0002-6579-1507Stanislaw Legutko3https://orcid.org/0000-0001-8973-5035Engineering College – Petroleum Engineering Department, University of Misan, IraqEngineering College, Mechanical Engineering Department, University of Misan, IraqFaculty of Civil and Transport Engineering, Poznan University of Technology, ul. Piotrowo 3, 60-965 Poznań, PolandFaculty of Mechanical Engineering, Poznan University of Technology, ul. Piotrowo 3, 60-965 Poznań, PolandFatigue resistance of steel containing non-metallic inclusions (NMIs) varies widely, depending on many criteria; therefore, finding the most compromised types of NMIs is a sober objective that may significantly reduce severe damage and premature failure in many applications, such as bearings, gears, transmission shafts, etc. The Multiple Criteria Decision-Making (MCDM) methodologies have been used in this study to assess the more effective NMI types using the Analytical Hierarchy Process (AHP) by Expert Choice (EC) software. The five most common types of non-metallic inclusions selected are oxides, sulfides, carbides, silicates, and nitrides, based on different criteria: size, shape, distribution, mechanical properties, and quantity. The results showed that the oxide NMIs are the optimum type relative to the other four options regarding the fatigue resistance of about 35%, probably due to their spherical shape and small size. The most dominant criterion is mechanical properties, which have an effective percentage of 34.6% among the other criteria. It means that the reduction of other types rather than oxide NMIs probably enhances the fatigue resistance of the steel.http://www.astrj.com/Assessment-of-Nonhomogeneous-Structures-in-Steel-Contents-in-Terms-of-Fatigue-Resistance,182286,0,2.htmlmultiple criteria decision makinganalytical hierarchy processnonmetallic inclusionsexpert choicefatigue resistance
spellingShingle Ali Al-Maliki
Jasim H. Al-Bedhany
Tahseen Ali Mankhi
Stanislaw Legutko
Assessment of Nonhomogeneous Structures in Steel Contents in Terms of Fatigue Resistance Using Analytical Hierarchy Process
Advances in Sciences and Technology
multiple criteria decision making
analytical hierarchy process
nonmetallic inclusions
expert choice
fatigue resistance
title Assessment of Nonhomogeneous Structures in Steel Contents in Terms of Fatigue Resistance Using Analytical Hierarchy Process
title_full Assessment of Nonhomogeneous Structures in Steel Contents in Terms of Fatigue Resistance Using Analytical Hierarchy Process
title_fullStr Assessment of Nonhomogeneous Structures in Steel Contents in Terms of Fatigue Resistance Using Analytical Hierarchy Process
title_full_unstemmed Assessment of Nonhomogeneous Structures in Steel Contents in Terms of Fatigue Resistance Using Analytical Hierarchy Process
title_short Assessment of Nonhomogeneous Structures in Steel Contents in Terms of Fatigue Resistance Using Analytical Hierarchy Process
title_sort assessment of nonhomogeneous structures in steel contents in terms of fatigue resistance using analytical hierarchy process
topic multiple criteria decision making
analytical hierarchy process
nonmetallic inclusions
expert choice
fatigue resistance
url http://www.astrj.com/Assessment-of-Nonhomogeneous-Structures-in-Steel-Contents-in-Terms-of-Fatigue-Resistance,182286,0,2.html
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