Optimal material selection for high temperature tribological application: an integrated multi criteria decision study

High temperature tribological automotive components are crucial parts of automotive to perform the required function. Aluminum alloys are known for their high strength-to-weight ratio, wear resistance, and corrosion resistance. This alloys have proved their worth in automotive application. Owing to the incorporation of different reinforcements in aluminum alloys, it allows to develop novel composites with desirable properties. However, the selection of suitable aluminum alloy for high temperature tribological application is crucial. This research article focused on selecting the most optimal material for usage in high temperature tribological applications. This study employed advanced multi-criteria decision making methodologies, specifically weights of criteria are calculated using entropy method and ranking of aluminum alloys have been done using technique for order preference by similarity to ideal solution (TOPSIS) and combined compromise solution (CoCoSo) method to investigate the complex process of material selection. By taking into account key criteria such as thermal degradation (TD), hardness (H), ultimate tensile strength (UTS), density (D), thermal conductivity (TC), melting point (MP), wear rate (WR), and corrosion resistance (CR), and three alternatives. The research aims to address the fundamental problems associated with material selection in the production of high temperature tribological automotive component. The study’s findings highlight that among the three variants of 6xxx aluminum alloys (AA6061, AA6082, and AA6005) under examination, AA6082 emerges as the most optimal choice. The alternatives rank determined by the TOPSIS and CoCoSo methods, are identical when weighted using the entropy method. These findings provide valuable insights to manufacturers, equipping them with the knowledge needed to make informed decisions geared towards enhancing the performance and reliability of their high temperature tribological application of components.

Authors

Institutions

Publication Details

Journal
Discover Materials
Published
2025-02-13
DOI
https://doi.org/10.1007/s43939-025-00209-7
Citations
6
Primary Topic
Tribology and Wear Analysis
Type
article
Field-Weighted Citation Impact
5.18
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimal material selection for high temperature tribological application: an integrated multi criteria decision study

Yesufikad Fentie Takele, Abraham Debebe Woldeyohannes
6 citations
Discover Materials
Tribology and Wear Analysis
5.18
article

Optimal material selection for high temperature tribological application: an integrated multi criteria decision study

Yesufikad Fentie Takele, Abraham Debebe Woldeyohannes
article en
6 citations

Abstract

High temperature tribological automotive components are crucial parts of automotive to perform the required function. Aluminum alloys are known for their high strength-to-weight ratio, wear resistance, and corrosion resistance. This alloys have proved their worth in automotive application. Owing to the incorporation of different reinforcements in aluminum alloys, it allows to develop novel composites with desirable properties. However, the selection of suitable aluminum alloy for high temperature tribological application is crucial. This research article focused on selecting the most optimal material for usage in high temperature tribological applications. This study employed advanced multi-criteria decision making methodologies, specifically weights of criteria are calculated using entropy method and ranking of aluminum alloys have been done using technique for order preference by similarity to ideal solution (TOPSIS) and combined compromise solution (CoCoSo) method to investigate the complex process of material selection. By taking into account key criteria such as thermal degradation (TD), hardness (H), ultimate tensile strength (UTS), density (D), thermal conductivity (TC), melting point (MP), wear rate (WR), and corrosion resistance (CR), and three alternatives. The research aims to address the fundamental problems associated with material selection in the production of high temperature tribological automotive component. The study’s findings highlight that among the three variants of 6xxx aluminum alloys (AA6061, AA6082, and AA6005) under examination, AA6082 emerges as the most optimal choice. The alternatives rank determined by the TOPSIS and CoCoSo methods, are identical when weighted using the entropy method. These findings provide valuable insights to manufacturers, equipping them with the knowledge needed to make informed decisions geared towards enhancing the performance and reliability of their high temperature tribological application of components.

Discover MaterialsVol. 5(1)
Addis Ababa Science and Technology University (ET)
Climate action
Openalex Percentile: Top 5%
Tribology and Wear Analysis
5.18
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.