Andere Kunden interessierten sich auch für
![Optimization of Wire Electrical Discharge Machining]( "Optimization of Wire Electrical Discharge Machining")
Optimization of Wire Electrical Discharge Machining39,99 €![OPTIMIZATION OF PARAMETERS IN WIRE CUT EDM OF AISI 310 STAINLESS STEEL]( "OPTIMIZATION OF PARAMETERS IN WIRE CUT EDM OF AISI 310 STAINLESS STEEL")
OPTIMIZATION OF PARAMETERS IN WIRE CUT EDM OF AISI 310 STAINLESS STEEL32,99 €![Optimization of Wire-EDM Process Parameters on TI-6AL-4V]( "Optimization of Wire-EDM Process Parameters on TI-6AL-4V")
Optimization of Wire-EDM Process Parameters on TI-6AL-4V29,99 €![Optimization of process parameters in Wire-EDM]( "Optimization of process parameters in Wire-EDM")
Optimization of process parameters in Wire-EDM29,99 €![Performance Investigation of Wire EDM Process Parameters using MOGA]( "Performance Investigation of Wire EDM Process Parameters using MOGA")
Performance Investigation of Wire EDM Process Parameters using MOGA39,99 €![Analysis and Optimization of Die Corner Accuracy in Wire Cut-EDM]( "Analysis and Optimization of Die Corner Accuracy in Wire Cut-EDM")
Analysis and Optimization of Die Corner Accuracy in Wire Cut-EDM46,99 €![OPTIMIZATION OF WIRE DRAWING PROCESS PARAMETERS]( "OPTIMIZATION OF WIRE DRAWING PROCESS PARAMETERS")
OPTIMIZATION OF WIRE DRAWING PROCESS PARAMETERS39,99 €
The present work is devoted to the development of ANN models for the analysis of the WEDM process applied to an actual industrial surface quality of components of mould and dies. Four layered structure (including two hidden layers, input and output layer) with back propagation for ANN model is selected and two fold cross-over data approach has been used to develop two different sets of models (S1 & S2) for each experimental set of material rods. Extensive computational results (predicted output values) have been obtained by using training, validation and testing programmed in "MATLAB R2010a". Prediction error statistics and correlations coefficient testing carried out between experimental and predicted outputs Ra as well as MRR to evaluate the best modeling result. The best among the proposed ANN models has been used to optimize the process parameter (Ra) with MRR by the effort of best input parametric combination.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.