Please use this identifier to cite or link to this item:
|Title:||Al-based classification methodologies for the modelling of machine tool thermal error|
|Source:||Ramesh, R.,Mannan, M.A.,Poo, A.N. (2002). Al-based classification methodologies for the modelling of machine tool thermal error. Technical Paper - Society of Manufacturing Engineers. MR (MR02-192) : 1-8. ScholarBank@NUS Repository.|
|Abstract:||Machine tool accuracy in a production environment is quite different from that under ideal laboratory conditions as it is subject to a variety of operating states. In addition to these variations, there is also the change in accuracy brought about by the rise in temperature of the machine components. Modelling of the machine tool thermal error is therefore a complex task necessitating the classification of the error into groups before they can be mapped with the temperature. In this paper, we attempt to apply and analyse three different classification methodologies so as to arrive at the most effective solution.|
|Source Title:||Technical Paper - Society of Manufacturing Engineers. MR|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Dec 16, 2017
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.