PARAMETRIC OPTIMIZATION OF ABRASIVE WATER JET MACHINING PROCESS USING COPRAS AND VIKOR METHODS
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F24%3A10256514" target="_blank" >RIV/61989100:27230/24:10256514 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.mmscience.eu/journal/issues/december-2024/articles/parametric-optimization-of-abrasive-water-jet-machining-process-using-copras-and-vikor-methods" target="_blank" >https://www.mmscience.eu/journal/issues/december-2024/articles/parametric-optimization-of-abrasive-water-jet-machining-process-using-copras-and-vikor-methods</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.17973/MMSJ.2024_12_2024128" target="_blank" >10.17973/MMSJ.2024_12_2024128</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
PARAMETRIC OPTIMIZATION OF ABRASIVE WATER JET MACHINING PROCESS USING COPRAS AND VIKOR METHODS
Popis výsledku v původním jazyce
Abrasive Waterjet Machining (AWJM) is one of the widely used non-traditional machining process to cut the hard materials like aluminium metal matrix composites (AMMCs) and the materials which are very difficult to machine using conventional machining due to their high hardness and tendency to cause tool wear. Present work two popular multi criteria decision making (MCDM) techniques Complex Proportional Assessment (COPRAS) AND VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) Methods have been used to optimize the AWJM machining process parameters for the machining of AMMCs. Both equal weight and standard deviation methods are used to find the weight of three response parameters like material removal rate, surface roughness and kerf width. From the results it is observed that there is a strong correlation between the weight calculation and the MCDM techniques which shows the robustness of the techniques. It is also noticed that machining with highest traverse speed and with out silicon carbide (SiC) is giving good response param & egrave;tres. However machining with low traverse speed is giving worst response parameters.
Název v anglickém jazyce
PARAMETRIC OPTIMIZATION OF ABRASIVE WATER JET MACHINING PROCESS USING COPRAS AND VIKOR METHODS
Popis výsledku anglicky
Abrasive Waterjet Machining (AWJM) is one of the widely used non-traditional machining process to cut the hard materials like aluminium metal matrix composites (AMMCs) and the materials which are very difficult to machine using conventional machining due to their high hardness and tendency to cause tool wear. Present work two popular multi criteria decision making (MCDM) techniques Complex Proportional Assessment (COPRAS) AND VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) Methods have been used to optimize the AWJM machining process parameters for the machining of AMMCs. Both equal weight and standard deviation methods are used to find the weight of three response parameters like material removal rate, surface roughness and kerf width. From the results it is observed that there is a strong correlation between the weight calculation and the MCDM techniques which shows the robustness of the techniques. It is also noticed that machining with highest traverse speed and with out silicon carbide (SiC) is giving good response param & egrave;tres. However machining with low traverse speed is giving worst response parameters.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
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OECD FORD obor
20301 - Mechanical engineering
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2024
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
MM Science Journal
ISSN
1803-1269
e-ISSN
1805-0476
Svazek periodika
2024
Číslo periodika v rámci svazku
December 2024
Stát vydavatele periodika
CZ - Česká republika
Počet stran výsledku
9
Strana od-do
7930-7938
Kód UT WoS článku
001372366300001
EID výsledku v databázi Scopus
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