Artificial neural networks for surface roughness prediction when face milling Al 7075-T7351

Journal of Materials Engineering and Performance

Volumn 19, Issue 2, 2010, Pages 185-193

  Muñoz Escalona, Patricia ^a   Maropoulos, Paul G ^b  

^a UNIVERSIDAD SIMÓN BOLÍVAR   (Venezuela)

^b University of Bath   (United Kingdom)

Author keywords

Face milling; Feed forward; Generalized regression; Radial base; Surface roughness

Indexed keywords

AL 7075; AL ALLOYS; ARTIFICIAL NEURAL NETWORK; AXIAL DEPTH OF CUT; BASE SURFACE; CHIP THICKNESS; CUTTING SPEED; FACE MILLING; FEED FORWARD; GENERALIZED REGRESSION; HIGH SPEED MILLING; MACHINING PROCESS; MEAN SQUARE; PEARSON CORRELATION COEFFICIENTS; STRONG CORRELATION; TAGUCHI DESIGN OF EXPERIMENT;

COST REDUCTION; DESIGN OF EXPERIMENTS; METAL ANALYSIS; MILLING (MACHINING); MILLING MACHINES; REGRESSION ANALYSIS; SURFACE PROPERTIES; SURFACE ROUGHNESS;

NEURAL NETWORKS;

EID: 77952091327     PISSN: 10599495     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11665-009-9452-4     Document Type: Article

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