All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

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&apos;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&apos;s hardness and decreases the density.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20300 - Mechanical engineering

Result continuities

  • Project

  • 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

  • UT code for WoS article

    001223986700001

  • EID of the result in the Scopus database