Soft computing techniques for machining of composites / / edited by V.N. Gaitonde, S.R. Karnik and J. Paulo Davim |
Pubbl/distr/stampa | Durnten-Zurich : , : Trans Tech Publications, , [2013] |
Descrizione fisica | 1 online resource (147 p.) |
Disciplina | 671.35 |
Altri autori (Persone) |
GaitondeV. N
KarnikS. R DavimJ. Paulo |
Collana | Materials science forum |
Soggetto topico |
Composite materials
Machining - Computer programs |
Soggetto genere / forma | Electronic books. |
ISBN | 3-03826-174-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Soft Computing Techniques for Machining of Composites; Preface; Table of Contents; Application of Desirability Function Based on Neural Network for Optimizing the Process Parameters in Turning of PEEK CF30 Composites; Application of Artificial Neural Network for the Prediction of Surface Roughness in Drilling GFRP Composites; Prediction of Cutting Forces during Turning PA66 GF-30 Glass Fiber Reinforced Polyamide by Soft Computing Techniques; Optimisation of End Milling Parameters on Aluminium/SiC Composites Using Response Surface and Artificial Neural Network Methodologies
Fuzzy Modeling and Analysis on the Turning Parameters for Machining Force and Specific Cutting Pressure in CFRP CompositesSoft Computing Applications in Drilling of GFRP Composites: A Review; Surface Roughness Minimization in Turning PEEK-CF30 Composites with TiN Cutting Tools Using Particle Swarm Optimization; Multi-Response Optimization in Drilling of Glass Epoxy Polymer Composites Using Simulated Annealing Approach; Keywords Index; Authors Index |
Record Nr. | UNINA-9910464916803321 |
Durnten-Zurich : , : Trans Tech Publications, , [2013] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Soft computing techniques for machining of composites / / edited by V.N. Gaitonde, S.R. Karnik and J. Paulo Davim |
Pubbl/distr/stampa | Durnten-Zurich : , : Trans Tech Publications, , [2013] |
Descrizione fisica | 1 online resource (147 p.) |
Disciplina | 671.35 |
Altri autori (Persone) |
GaitondeV. N
KarnikS. R DavimJ. Paulo |
Collana | Materials science forum |
Soggetto topico |
Composite materials
Machining - Computer programs |
ISBN | 3-03826-174-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Soft Computing Techniques for Machining of Composites; Preface; Table of Contents; Application of Desirability Function Based on Neural Network for Optimizing the Process Parameters in Turning of PEEK CF30 Composites; Application of Artificial Neural Network for the Prediction of Surface Roughness in Drilling GFRP Composites; Prediction of Cutting Forces during Turning PA66 GF-30 Glass Fiber Reinforced Polyamide by Soft Computing Techniques; Optimisation of End Milling Parameters on Aluminium/SiC Composites Using Response Surface and Artificial Neural Network Methodologies
Fuzzy Modeling and Analysis on the Turning Parameters for Machining Force and Specific Cutting Pressure in CFRP CompositesSoft Computing Applications in Drilling of GFRP Composites: A Review; Surface Roughness Minimization in Turning PEEK-CF30 Composites with TiN Cutting Tools Using Particle Swarm Optimization; Multi-Response Optimization in Drilling of Glass Epoxy Polymer Composites Using Simulated Annealing Approach; Keywords Index; Authors Index |
Record Nr. | UNINA-9910789475303321 |
Durnten-Zurich : , : Trans Tech Publications, , [2013] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Soft computing techniques for machining of composites / / edited by V.N. Gaitonde, S.R. Karnik and J. Paulo Davim |
Pubbl/distr/stampa | Durnten-Zurich : , : Trans Tech Publications, , [2013] |
Descrizione fisica | 1 online resource (147 p.) |
Disciplina | 671.35 |
Altri autori (Persone) |
GaitondeV. N
KarnikS. R DavimJ. Paulo |
Collana | Materials science forum |
Soggetto topico |
Composite materials
Machining - Computer programs |
ISBN | 3-03826-174-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Soft Computing Techniques for Machining of Composites; Preface; Table of Contents; Application of Desirability Function Based on Neural Network for Optimizing the Process Parameters in Turning of PEEK CF30 Composites; Application of Artificial Neural Network for the Prediction of Surface Roughness in Drilling GFRP Composites; Prediction of Cutting Forces during Turning PA66 GF-30 Glass Fiber Reinforced Polyamide by Soft Computing Techniques; Optimisation of End Milling Parameters on Aluminium/SiC Composites Using Response Surface and Artificial Neural Network Methodologies
Fuzzy Modeling and Analysis on the Turning Parameters for Machining Force and Specific Cutting Pressure in CFRP CompositesSoft Computing Applications in Drilling of GFRP Composites: A Review; Surface Roughness Minimization in Turning PEEK-CF30 Composites with TiN Cutting Tools Using Particle Swarm Optimization; Multi-Response Optimization in Drilling of Glass Epoxy Polymer Composites Using Simulated Annealing Approach; Keywords Index; Authors Index |
Record Nr. | UNINA-9910806885403321 |
Durnten-Zurich : , : Trans Tech Publications, , [2013] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|