| About this Abstract |
| Meeting |
2023 TMS Annual Meeting & Exhibition
|
| Symposium
|
Cast Shop Technology
|
| Presentation Title |
Operations Assisting and Predictive Maintenance Tools in Casthouses – Examples from AMAG Casting |
| Author(s) |
Alexander Poscher, Martin Mönius, Eduard Faschang, Bernd Prillhofer |
| On-Site Speaker (Planned) |
Alexander Poscher |
| Abstract Scope |
The interference-free functioning of cast house-equipment such as moulds, starter blocks, metal level sensors or simply the vehicle fleet is critical to smooth and safe operation. Malfunction can cause unforeseeable cast stops leading from downtime to safety issues and equipment damage due to bleed-outs, hang-ups or metal freezing in the nozzles and certainly reduces productivity. However, the wide variety of equipment used challenges production and maintenance employees responsible to keep an overview on the usage and condition of each single device at any point of time. Therefore, digital assistant systems seem to be a suitable way to support operations by tracking such devices on the shopfloor and predict at best equipment conditions depending on the past and future production program. This paper deals with a selection of digital support tools developed and used at AMAG casting to further improve on condition-based maintenance and increased equipment availability. |
| Proceedings Inclusion? |
Planned: Light Metals |
| Keywords |
Additive Manufacturing, Titanium, |