Abstract
| Original language | English |
|---|---|
| Publication status | Published - 2018 |
| Event | 7th International Conference on Through-Life Engineering - Duration: 6 Nov 2018 → 7 Nov 2018 |
Conference
| Conference | 7th International Conference on Through-Life Engineering |
|---|---|
| Period | 6/11/18 → 7/11/18 |
Keywords
- Machine tools
- Maintenance
- Through-life services
- Machine tool testing
- Machine capability
- STEP-NC
- Digital twin
Cite this
Through Life Machine Tool Capability Modelling. / Vichare, Parag; Nassehi, Aydin; Flynn, Joseph; Newman, Stephen.
2018. Paper presented at 7th International Conference on Through-Life Engineering, .Research output: Contribution to conference › Paper
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TY - CONF
T1 - Through Life Machine Tool Capability Modelling
AU - Vichare, Parag
AU - Nassehi, Aydin
AU - Flynn, Joseph
AU - Newman, Stephen
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
KW - Machine tools
KW - Maintenance
KW - Through-life services
KW - Machine tool testing
KW - Machine capability
KW - STEP-NC
KW - Digital twin
M3 - Paper
ER -