DocumentCode
3396511
Title
Optimisation of the high efficiency deep grinding process with fuzzy fitness function and constraints
Author
Jones, P.M. ; Tiwari, A. ; Roy, R. ; Corbett, J.
Author_Institution
Dept. of Enterprise Integration, Cranfield Univ., UK
Volume
1
fYear
2004
fDate
19-23 June 2004
Firstpage
574
Abstract
This paper describes the application of two multi-objective optimisation techniques to the high efficiency deep grinding process. The process is modelled using a fuzzy expert system. This allows understanding gained through theoretical analysis to be combined with empirical data in a solitary model. The objective is to simultaneously minimise the surface temperature and specific grinding energy. A problem constraint is represented within the fuzzy model. It forms an objective representing the degree of feasibility of the solution.
Keywords
expert systems; fuzzy systems; grinding; optimisation; fuzzy expert system; fuzzy fitness constraints; fuzzy fitness function; high efficiency deep grinding; multiobjective optimisation; specific grinding energy; surface temperature; Aerospace industry; Analytical models; Constraint optimization; Feeds; Heat transfer; Hybrid intelligent systems; Machining; Predictive models; Temperature; Wheels;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2004. CEC2004. Congress on
Print_ISBN
0-7803-8515-2
Type
conf
DOI
10.1109/CEC.2004.1330909
Filename
1330909
Link To Document