Statistical and Computational Techniques in Manufacturing

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Davim, J. Paulo (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.