CLUSTER ANALYSIS APPROACH FOR IDENTIFYING OPTIMAL CUTTING PARAMETERS IN END MILLING OF ALUMINUM ALLOY 7136 FOR IMPROVED SURFACE ROUGHNESS

CLUSTER ANALYSIS APPROACH FOR IDENTIFYING OPTIMAL CUTTING PARAMETERS IN END MILLING OF ALUMINUM ALLOY 7136 FOR IMPROVED SURFACE ROUGHNESS

Three cutting parameters are investigated in this study for their effect on the surface quality of aluminum alloy 7136 end milled. The major goal of the study is to use cluster analysis to discover the ideal cutting parameter combination to get the lowest surface roughness achievable. This paper exa...

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Bibliographic Details
Main Authors: Aurel Mihail ȚÎȚU, Constantin OPREAN, Alina Bianca POP
Format: Article
Language:English
Published: Editura Academiei Oamenilor de Știință din România 2023-06-01
Series:Annals: Series on engineering sciences (Academy of Romanian Scientists)
Subjects:
cluster analysis
cutting parameters
end-milling process
al7136
surface roughness
Online Access:https://aos.ro/wp-content/anale/TVol15Nr1Art.10.pdf

Internet

https://aos.ro/wp-content/anale/TVol15Nr1Art.10.pdf

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