Multi-objective optimisation of drilling process variables of LM5 alloy using grey relational analysis

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F25%3A10258905" target="_blank" >RIV/61989100:27230/25:10258905 - isvavai.cz</a>

Result on the web

<a href="https://www.webofscience.com/wos/woscc/full-record/WOS:001618138800003" target="_blank" >https://www.webofscience.com/wos/woscc/full-record/WOS:001618138800003</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s44245-025-00148-w" target="_blank" >10.1007/s44245-025-00148-w</a>

Result language

angličtina

Original language name

Multi-objective optimisation of drilling process variables of LM5 alloy using grey relational analysis

Original language description

LM5 alloy, with its excellent durability against corrosion, is ideal for marine and aesthetic applications. This investigation aims to improve the drilling process variables of the LM5 aluminium alloy to fulfil the specific needs of the naval industries, including naval construction, offshore buildings, and undersea vehicles. In order to gain a greater insight into how drilling process parameters like feed rate (FR), spindle speed (SS), and type of drill material (DM) affect responses such as burr height (BH), surface roughness (SR), and thrust force (TF) while drilling. The LM5 aluminium alloy plate was made using a stir-casting method. Drilling studies were executed utilising a design-of-experiment (DOE) technique L9 orthogonal array (OA). Thrust force was measured with a piezo-electric dynamometer. The surface roughness was assessed with an SR tester, and the BH was determined with a vision measurement instrument. GRA simultaneously determines the ideal process variables for machining LM5 alloy with the lowest TF, SR, and BH. It is observed from the ANOVA table that spindle Speed is the most effective control factor for maximum GRG (58.31%), feed rate (29.9%) and Drill material (9.84%). As a result of GRA, the Spindle Speed was identified as the most critical control element. The statistical models are created using the multiple linear regression method and employed to determine response parameters due to multiple control factors. The model&apos;s accuracy was successfully validated using confirmation tests.

Czech name

—

Czech description

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Type

J_SC - Article in a specialist periodical, which is included in the SCOPUS database

CEP classification

—

OECD FORD branch

20301 - Mechanical engineering

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2025

Confidentiality

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

Name of the periodical

Discover Mechanical Engineering

ISSN

2731-6564

e-ISSN

2731-6564

Volume of the periodical

4

Issue of the periodical within the volume

1

Country of publishing house

CH - SWITZERLAND

Number of pages

16

Pages from-to

nestránkováno

UT code for WoS article

001618138800003

EID of the result in the Scopus database

2-s2.0-105021515380