An integrated study of surface roughness for modelling and optimization of cutting parameters during end milling operation

International Journal of Advanced Manufacturing Technology

Volumn 43, Issue 9-10, 2009, Pages 852-861

  Oktem H ^a  

^a KOCAELI UNIVERSITY   (Turkey)

Author keywords

Artificial neural network; End milling; Genetic algorithm; Optimization; Regression analysis; Surface roughness

Indexed keywords

AISI 1040 STEEL; ANALYTICAL FORMULAS; ARTIFICIAL NEURAL NETWORK; BACKPROPAGATION LEARNING ALGORITHM; BEFORE AND AFTER; CUTTING OPERATIONS; CUTTING PARAMETERS; END MILLING; END-MILLING OPERATIONS; EXPERIMENTAL MEASUREMENTS; MACHINING TIME; MATERIAL SURFACE; MEASUREMENT EXPERIMENTS; MULTIPLE REGRESSION ANALYSIS; OPTIMIZATION PROCESS; SURFACE ROUGHNESS MODEL; WET CONDITIONS;

BACKPROPAGATION; BACKPROPAGATION ALGORITHMS; CARBIDE TOOLS; CARBIDES; COMMINUTION; CUTTING TOOLS; DESIGN OF EXPERIMENTS; GENETIC ALGORITHMS; LEARNING ALGORITHMS; METAL ANALYSIS; METAL CUTTING; MILLING (MACHINING); NEURAL NETWORKS; OPTIMIZATION; REGRESSION ANALYSIS; STATISTICS; SURFACE PROPERTIES; SURFACE ROUGHNESS; SURFACES;

SURFACE ANALYSIS;

EID: 67651230570     PISSN: 02683768     EISSN: 14333015     Source Type: Journal    
DOI: 10.1007/s00170-008-1763-3     Document Type: Article

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