OPTIMIZING DRILLING OPERATION OF HYBRID ALUMINIUM COMPOSITES USING MEREC AND ENTROPY-BASED WEIGHTING STRATEGIES- AN MCDM BASED COMPARATIVE STUDY
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F25%3A10260246" target="_blank" >RIV/61989100:27230/25:10260246 - isvavai.cz</a>
Result on the web
<a href="https://www.mmscience.eu/journal/issues/june-2025/articles" target="_blank" >https://www.mmscience.eu/journal/issues/june-2025/articles</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.17973/MMSJ.2025_06_2025064" target="_blank" >10.17973/MMSJ.2025_06_2025064</a>
Alternative languages
Result language
angličtina
Original language name
OPTIMIZING DRILLING OPERATION OF HYBRID ALUMINIUM COMPOSITES USING MEREC AND ENTROPY-BASED WEIGHTING STRATEGIES- AN MCDM BASED COMPARATIVE STUDY
Original language description
Hybrid Aluminium Metal Matrix Composites have gained a lot of attention in the industrial sphere due to their excellent mechanical properties and lightweight nature. However, machining these composites presents substantial challenges because of the variable mechanical properties across the bulk. Traditional machining, like drilling, calls for optimization of drilling parameters for ensuring high material removal rates (MRR), minimal surface roughness (Ra), and enhanced hole quality. This study employs Multi-Criteria Decision-Making (MCDM) techniques-MARCOS, MABAC, MOORA, WASPAS, and ARAS-combined with two distinct weighting strategies: Entropy and the Method of Removal Effects of Criteria (MEREC). Drilling of stir-cast hybrid aluminium composites (Al 7075 + SiC + fly ash + bagasse ash) was performed using Taguchi's design of experiments. The MCDM techniques were then employed to obtain ranks of all the 27 experimental runs to choose the optimum. The results reveal that drill diameter and feed rate significantly influence optimal machining conditions. The study highlights that the 15th experimental run (10 mm drill diameter, 170 RPM spindle speed, 41 mm/min feed rate) yielded the best compromise across performance criteria. Furthermore, a strong correlation among rankings from different MCDM techniques demonstrates their robustness and reliability for machining optimization.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20300 - Mechanical engineering
Result continuities
Project
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Continuities
O - Projekt operacniho programu
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
MM Science Journal
ISSN
1803-1269
e-ISSN
1805-0476
Volume of the periodical
2025
Issue of the periodical within the volume
JUN 2025
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
8
Pages from-to
8489-8496
UT code for WoS article
001499597600001
EID of the result in the Scopus database
2-s2.0-105007891741