Soft Computing Techniques for Machining of Composites

Erscheinungsjahr 2013
ISBN: 978-3-03795-518-5
Verlag: Trans Tech Publications

Sonstiges, Englisch, Band Volume 766, 154 Seiten, Format (B × H): 125 mm x 142 mm, Gewicht: 200 g

Reihe: Materials Science Forum

Volume is indexed by Thomson Reuters BCI (WoS).
Even though composites are manufactured to near net shaped, machining has to be performed during the final production stage to get the finished products. Soft computing is a collection of methodologies that aim to exploit tolerance for imprecision, uncertainty and partial truth to achieve tractability, robustness and low solution cost. This special volume intends to draw a picture of the recent advances made in the soft computing assisted machinability studies for composite materials and includes the submission of high quality research articles. Suitable topics include the application to the machining (turning, drilling, milling) of the composites like metal matrix composites, fiber reinforced composites, glass epoxy polymer composites, polyamides and PEEK using various soft computing techniques such as artificial neural networks, fuzzy logic, particle swarm optimization and simulated annealing.

Autoren/Hrsg.

Gaitonde, V.N.

Karnik, S.R.

Davim, J. Paulo

Fachgebiete

• Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik Computergestützte Fertigung
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde Materialwissenschaft: Verbundwerkstoffe
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Application of Desirability Function Based on Neural Network for Optimizing the Process Parameters in Turning of PEEK CF30 CompositesApplication of Artificial Neural Network for the Prediction of Surface Roughness in Drilling GFRP CompositesPrediction of Cutting Forces during Turning PA66 GF-30 Glass Fiber Reinforced Polyamide by Soft Computing TechniquesOptimisation of End Milling Parameters on Aluminium/SiC Composites Using Response Surface and Artificial Neural Network MethodologiesFuzzy 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 ReviewSurface Roughness Minimization in Turning PEEK-CF30 Composites with TiN Cutting Tools Using Particle Swarm OptimizationMulti-Response Optimization in Drilling of Glass Epoxy Polymer Composites Using Simulated Annealing Approach