OPTIMIZING DRILLING OPERATION OF HYBRID ALUMINIUM COMPOSITES USING MEREC AND ENTROPY-BASED WEIGHTING STRATEGIES- AN MCDM BASED COMPARATIVE STUDY

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

OPTIMIZING DRILLING OPERATION OF HYBRID ALUMINIUM COMPOSITES USING MEREC AND ENTROPY-BASED WEIGHTING STRATEGIES- AN MCDM BASED COMPARATIVE STUDY

Popis výsledku v původním jazyce

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&apos;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.

Název v anglickém jazyce

OPTIMIZING DRILLING OPERATION OF HYBRID ALUMINIUM COMPOSITES USING MEREC AND ENTROPY-BASED WEIGHTING STRATEGIES- AN MCDM BASED COMPARATIVE STUDY

Popis výsledku anglicky

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&apos;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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20300 - Mechanical engineering

Projekt

—

Návaznosti

O - Projekt operacniho programu

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

MM Science Journal

ISSN

1803-1269

e-ISSN

1805-0476

Svazek periodika

2025

Číslo periodika v rámci svazku

JUN 2025

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

8

Strana od-do

8489-8496

Kód UT WoS článku

001499597600001

EID výsledku v databázi Scopus

2-s2.0-105007891741