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.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.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.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 | - |