Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/73141
Title: Al-based classification methodologies for the modelling of machine tool thermal error
Authors: Ramesh, R.
Mannan, M.A. 
Poo, A.N. 
Keywords: Classification
Thermal error
Issue Date: 2002
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
URI: http://scholarbank.nus.edu.sg/handle/10635/73141
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

34
checked on Dec 16, 2017

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.