Multi-objective optimization of machining variables for wire-EDM of LM6/fly ash composite materials using grey relational analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F24%3A10254917" target="_blank" >RIV/61989100:27230/24:10254917 - isvavai.cz</a>
Result on the web
<a href="https://www.webofscience.com/wos/woscc/full-record/WOS:001223986700001" target="_blank" >https://www.webofscience.com/wos/woscc/full-record/WOS:001223986700001</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1515/secm-2024-0008" target="_blank" >10.1515/secm-2024-0008</a>
Alternative languages
Result language
angličtina
Original language name
Multi-objective optimization of machining variables for wire-EDM of LM6/fly ash composite materials using grey relational analysis
Original language description
With the enhancement in science and technology, necessity of complex shapes in manufacturing industries have become essential for more versatile applications. This leads to the demand for lightweight and durable materials for applications in aerospace, defense, automotive, as well as sports and thermal management. Wire electric discharge machining (WEDM) is an extensively utilized process that is used for the exact and indented shaped components of all materials that are electrically conductive. This technique is suitable in practically all industrial sectors owing to its widespread application. The present investigation explores WEDM for LM6/fly ash composites to optimize different process variables for attaining performance measures in terms of maximum material removal rate (MRR) and minimum surface roughness (SR). Taguchi's L27 OA design of experiments, grey relational analysis, and analysis of variance (ANOVA) were employed to optimize SR and MRR. It has been noted from ANOVA that reinforcement (R) percentage and pulse on time are the most influential aspects for Grey Relational Grade (GRG) with their contributions of 28.22 and 18.18%, respectively. It is found that the best process variables for achieving the highest MRR and lowest SR simultaneously during the machining of the composite are gap voltage of 30 V, pulse on time of 10 mu s, pulse off time of 2 mu s, wire feed of 8 m/min, and R of 9%. The predicted GRG is 0.84, and the experimental GRG value is 0.86. The validation experiments at the optimized setting show close agreement between predicted and experimental values. The morphological study by optical microscopy revealed a homogenous distribution of reinforcement in the matrix which enhances the composite's hardness and decreases the density.
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
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
SCIENCE AND ENGINEERING OF COMPOSITE MATERIALS
ISSN
0792-1233
e-ISSN
2191-0359
Volume of the periodical
31
Issue of the periodical within the volume
1
Country of publishing house
PL - POLAND
Number of pages
14
Pages from-to
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UT code for WoS article
001223986700001
EID of the result in the Scopus database
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