Kg. Ahn et Dw. Cho, In-process modelling and estimation of thermally induced errors of a machine tool during cutting, INT J ADV M, 15(4), 1999, pp. 299-304
Citations number
12
Categorie Soggetti
Engineering Management /General
Journal title
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
A compact measurement system was developed to measure the time variant mach
ine tool errors during cutting. The system is composed of a gauge, a sensor
holder 5 gap-sensors and a PC. The gauge is made of invar which has a very
low thermal expansion coefficient, and is often used to measure the therma
lly induced errors of a machine tool. A new neural network model was consid
ered to estimate the time variant machine tool errors during cutting using
a new concept of input values. The detail of the model proposed is describe
d in the paper together with experimental methodologies using a compact mea
surement system to examine the validity of this approach. These schemes wer
e implemented oil a small vertical-machining centre.