Abstract
Through-life analysis of the machine tool capability is becoming increasingly important as there now exist a plethora of machine tool types, different machine tool testing and verification standards, a variety of machine tool testing equipment and proprietary maintenance procedures. The need to represent the actual manufacturing capability of equipment is a challenge for manufacturing industry as accessing this through-life information remains a major bottleneck. Though machines can be modelled at various levels of fidelity from simple computerized datasheets containing overall machining dimensions/power and positional capability to complex computer aided models of machine tools, there exists a gap to represent their operational health throughout the machine life to consider capability degradation. This paper outlines a new information model which enables through-life machine tool capability to be represented for establishing a digital twin, improved process planning and machine selection for parts as well as preventative maintenance scheduling.
Original language | English |
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Pages (from-to) | 171-178 |
Number of pages | 8 |
Journal | Procedia Manufacturing |
Volume | 16 |
DOIs | |
Publication status | Published - 2 Nov 2018 |
Keywords
- machine tools
- maintenance
- through-life services
- machine tool testing
- machine capability
- STEP-NC
- digital twin