Special topic volume with invited peer reviewed papers only.
Buch, Englisch, 154 Seiten, Format (B × H): 170 mm x 240 mm, Gewicht: 420 g
ISBN: 978-3-03785-793-9
Verlag: Trans Tech Publications
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde Materialwissenschaft: Verbundwerkstoffe
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik Computergestützte Fertigung
Weitere Infos & Material
Preface
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 Composites
Soft 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