Paper Information

Journal:   MODARES TECHNICAL AND ENGINEERING   Summer 2003 , Volume - , Number 12; Page(s) 76 To 88.
 
Paper: 

GENETIC AND SVD DESIGN OF FUZZY SYSTEMS FOR THE MODELLING AND PREDICTION OF PROCESS PARAMETERS OF EXPLOSIVE CUTTING PROCESS

 
 
Author(s):  DARVIZEH A.*, NARIMANZADEH N., OULIAEI F.
 
* Department of Mechanical Engineering, Guilan University, Rasht, Iran
 
Abstract: 

Genetic Algorithm (GA) and Singular Value Decomposition (SVD) are deployed for optimal domains selection of antecedents and consequents, respectively, of associated fuzzy sets in fuzzy systems which are used for modelling of explosive cutting process of plates by shaped charges. The aim of such modelling is to show how the depth of penetration varies with the variation of important parameters namely, apex angle, standoff, liner thickness, and mass of charge. !t is demonstrated that SVD can be effectively used to fine tuning of such fuzzy models obtained either from direct matching method or designed by GA method. Such application of SVD will highly improve the performance of genetically designed fuzzy systems to model the very complex process of explosive cutting of plates by shaped charges.

 
Keyword(s): FUZZY SYSTEMS, EXPLOSIVE CUTTING PROCESS, GENETIC ALGORITHMS, SVD
 
References: 
  • ندارد
 
  Yearly Visit 115
 
Latest on Blog
Enter SID Blog