Wire-EDM process parameters and optimization - Couverture souple

Vates, Umesh Kumar

 
9786202305785: Wire-EDM process parameters and optimization
Couverture souple
ISBN 10 : 6202305789 ISBN 13 : 9786202305785
Editeur : Scholars' Press, 2018

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

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.

Biographie de l'auteur

Dr. Umesh Kumar VatesPhD, IIT Dhanbad, India.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Scholars' Press
Date d'édition
2018
Langue
anglais
ISBN 10 
6202305789
ISBN 13 
9786202305785
Reliure
Broché
Nombre de pages
292
Coordonnées du fabricant
non disponible
Personne responsable
non disponible