Statistical and Computational Techniques in Manufacturing

• Corporate Author: SpringerLink (Online service)
• Other Authors: Davim, J. Paulo (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
• Subjects: Engineering.; Computer mathematics.; Mechanical engineering.; Manufacturing industries.; Machines.; Tools.; Manufacturing, Machines, Tools.; Mechanical Engineering.; Computational Science and Engineering.

In recent years, interest in developing statistical and computational techniques for applied manufacturing engineering has been increased. Today, due to the great complexity of manufacturing engineering and the high number of parameters used, conventional approaches are no longer sufficient. Therefo...

Table of Contents:

• Machining
• Non traditional machining (EDM, LAM, USM, etc).-Abrasive machining
• Casting & joining
• Forming
• Powder metallurgy
• Composites & ceramics processing
• Rapid prototyping & tooling processes
• Micro and nanomanufacturing processes
• Sustainable and green manufacturing
• Manufacturing systems
• Statistical and computational techniques
• Design experiments
• Taguchi techniques
• ANOVA (Analysis of variance)
• MRA (multi analysis regression)
• RSM (Response surface methodology) Finite Element Method (FEM) modeling/simulation
• Artificial Neural Networks (ANNs)
• Evolutionary computation
• Fuzzy logic
• Neuro-fuzzy systems
• Particle swarm optimization (PSO)
• Optimization techniques of complex systems.