Abstract
Control charts at present are used to provide statistical representation of machine tool health. These charts are based on machine tool testing standards, for example ISO 230 and VDI 3441. This information can be used to indicate a resource’s level of utilisation, resource allocation and process planning decisions. Although these standards provide an indication of machine tool accuracy, they do not provide any mechanism to exchange and use the information within these control charts to identify whether the machine is performing to the desired level of capability and whether the machine is healthy. This paper reports research that exploits and extends a STEP-NC compliant Unified Manufacturing Resource Model (UMRM) by representing machine tool health data. This provides a new approach for representing statistical machine tool accuracy information while maintaining the compliancy within prevalent machine tool testing standards. A data model for representing machine tool health based on capability profiles has been proposed. A case study of machine tool showing the interpretation of a control chart with proposed data model has been utilised to represent machine tool health through capability profiles.
Original language | English |
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Title of host publication | Proceedings of the FAIM 2012, 22nd International Conference on Flexible Automation and Intelligent Manufacturing, June 10th-13th, 2012, Helsinki, Finland |
Editors | Hasse Nylund , Satu Kantti , Ville Toivonen , Seppo Torvinen |
Publisher | Tampere University of Technology |
Pages | 767-774 |
ISBN (Print) | 978-952-15-2783-8 , 78-952-15-2784-5 |
Publication status | Published - 2012 |
Event | 22nd International Conference on Flexible Automation and Intelligent Manufacturing - Helsinki, Finland Duration: 10 Jun 2012 → 13 Jun 2012 |
Conference
Conference | 22nd International Conference on Flexible Automation and Intelligent Manufacturing |
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Country/Territory | Finland |
City | Helsinki |
Period | 10/06/12 → 13/06/12 |