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Cited 7 time in webofscience Cited 11 time in scopus
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In-process modelling and estimation of thermally induced errors of a machine tool during cutting SCIE SCOPUS

Title
In-process modelling and estimation of thermally induced errors of a machine tool during cutting
Authors
Ahn, KGCho, DW
Date Issued
1999-01
Publisher
SPRINGER-VERLAG LONDON LTD
Abstract
A compact measurement system was developed to measure the time variant machine 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 thermally induced errors of a machine tool. A new neural network model was considered to estimate the time variant machine tool errors during cutting using a new concept of input values. The detail of the model proposed is described in the paper together with experimental methodologies using a compact measurement system to examine the validity of this approach. These schemes were implemented oil a small vertical-machining centre.
Keywords
compact measurement system (CMS); estimation; in-process; neural network; thermally induced errors; COMPENSATION
URI
https://oasis.postech.ac.kr/handle/2014.oak/20399
DOI
10.1007/s001700050070
ISSN
0268-3768
Article Type
Article
Citation
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, vol. 15, no. 4, page. 299 - 304, 1999-01
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조동우CHO, DONG WOO
Dept of Mechanical Enginrg
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