Prediction of surface roughness in wire electrical discharge machining using design of experiments and neural networks

Iranian Journal of Science and Technology, Transaction B: Engineering

Volumn 33, Issue 3, 2009, Pages 231-240

  Esme, U ^a   Sagbas, A ^a   Kahraman, F ^a  

^a MERSIN UNIVERSITY   (Turkey)

Author keywords

Factorial design; NN; Surface roughness; WEDM

Indexed keywords

AISI 4340 STEEL; ANALYSIS OF VARIANCE METHOD; CUTTING PARAMETERS; ELECTRO DISCHARGE MACHINING; EMPIRICAL MODELING; EXPERIMENTAL VALUES; FACTORIAL DESIGN; FULL FACTORIAL DESIGN; INPUT PARAMETER; MACHINE PARTS; MACHINED SURFACE; MATHEMATICAL RELATION; NEURAL-NETWORK; NN; OPEN VOLTAGE; PULSE DURATIONS; SURFACE FINISHES; WEDM; WIRE ELECTRICAL DISCHARGE MACHINING; WORK MATERIAL; WORK PIECES;

CONDUCTIVE MATERIALS; DESIGN OF EXPERIMENTS; ELECTRIC DISCHARGE MACHINING; ELECTRIC DISCHARGES; ELECTRIC POTENTIAL; MACHINERY; MATHEMATICAL MODELS; METAL ANALYSIS; NEURAL NETWORKS; PULSE GENERATORS; REGRESSION ANALYSIS; SECONDARY BATTERIES; SURFACE PROPERTIES; SURFACE ROUGHNESS; WIRE;

ANALYSIS OF VARIANCE (ANOVA);

ARTIFICIAL NEURAL NETWORK; ELECTRICITY; EXPERIMENTAL DESIGN; NUMERICAL MODEL; PREDICTION; REGRESSION ANALYSIS; ROUGHNESS;

EID: 69149097493     PISSN: 10286284     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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