Comparison of the measurement performance of high precision multi-axis metal cutting machine tools

Verma, M.R., Chatzivagiannis, E., Jones, D. and Maropoulos, P.G. (2014). Comparison of the measurement performance of high precision multi-axis metal cutting machine tools. Procedia CIRP, 25 (C), pp. 138-145.

Abstract

High precision manufacturers continuously seek out disruptive technologies to improve the quality, cost, and delivery of their products. With the advancement of machine tool and measurement technology many companies are ready to capitalise on the opportunity of on-machine measurement (OMM). Coupled with business case, manufacturing engineers are now questioning whether OMM can soon eliminate the need for post-process inspection systems. Metrologists will however argue that the machining environment is too hostile and that there are numerous process variables which need consideration before traceable measurement on-the-machine can be achieved. In this paper we test the measurement capability of five new multi-axis machine tools enabled as OMM systems via on-machine probing. All systems are tested under various operating conditions in order to better understand the effects of potentially significant variables. This investigation has found that key process variables such as machine tool warm-up and tool-change cycles can have an effect on machine tool measurement repeatability. New data presented here is important to many manufacturers whom are considering utilising their high precision multi-axis machine tools for both the creation and verification of their products.

Publication DOI: https://doi.org/10.1016/j.procir.2014.10.022
Divisions: Aston University (General)
Additional Information: 8th International Conference on Digital Enterprise Technology - DET 2014 Disruptive Innovation in Manufacturing Engineering towards the 4th Industrial Revolution. © 2014 Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/). Funding: EPSRC funded Industrial Doctorate Centre in Systems (Grant EP/G037353/1).
Uncontrolled Keywords: data-driven manufacturing,machine tool metrology,on-machine measurement (OMM),on-machine verification (OMV),sample inspection,Control and Systems Engineering,Industrial and Manufacturing Engineering
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Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
Published Date: 2014
Authors: Verma, M.R.
Chatzivagiannis, E.
Jones, D.
Maropoulos, P.G. ( 0000-0001-6525-6216)

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