Optimisation of the High Efficiency Deep Grinding Process with Fuzzy Fitness
Function and Constraints.

dc.contributor.author	Jones, Phil	-
dc.contributor.author	Tiwari, Ashutosh	-
dc.contributor.author	Roy, Rajkumar	-
dc.contributor.author	Corbett, John	-
dc.date.accessioned	2011-10-11T07:23:50Z
dc.date.available	2011-10-11T07:23:50Z
dc.date.issued	2004-06-01T00:00:00Z	-
dc.identifier.citation	P.M. Jones, A. Tiwari, R. Roy, J. Corbett, Optimisation of the High Efficiency Deep Grinding Process with Fuzzy Fitness Function and Constraints, Evolutionary Computation, 2004. CEC2004. Congress on, 19-23 June 2004, pp574-581 Vol.1.	-
dc.identifier.isbn	780385152	-
dc.identifier.uri	http://dx.doi.org/10.1109/CEC.2004.1330909	-
dc.identifier.uri	http://dspace.lib.cranfield.ac.uk/handle/1826/2678
dc.description.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.	en_UK
dc.subject	expert systems	en_UK
dc.subject	fuzzy systems	en_UK
dc.subject	grinding	en_UK
dc.subject	optimisation	en_UK
dc.title	Optimisation of the High Efficiency Deep Grinding Process with Fuzzy Fitness Function and Constraints.	en_UK
dc.type	Conference paper	-