| About this Abstract |
| Meeting |
2022 TMS Annual Meeting & Exhibition
|
| Symposium
|
Cast Shop Technology
|
| Presentation Title |
Quantitative Assessment of Operational Parameters on Die Temperature during an Industrial Low-pressure Die Casting Process |
| Author(s) |
Jun Ou, Chunying Wei, Steve Cockcroft, Daan Maijer, Lin Zhu, Lateng A |
| On-Site Speaker (Planned) |
Jun Ou |
| Abstract Scope |
Driven by the rapid technological innovation in the automotive industry, automotive parts suppliers are engaged in developing next-generation process control methods that incorporate historical process knowledge and data from online process monitoring. This work examines how the casting process control variables and process variability affect die temperature using quantitative data acquired from a series of experiments performed on a commercial low-pressure die casting (LPDC) process for automotive wheel production. The control parameters considered include the pressure fill-curve, cooling duration, water flow rates and environmental temperatures. It was found that the cooling duration exerts the most significant impact on the die temperature. In contrast, the flow rate of cooling water only slightly influences the die temperature, particularly when the flow rate is below 300 l/h. Additionally, there was no noticeable influences caused by adjusting the pressure fill-curve and environmental temperatures in the ranges tested. |
| Proceedings Inclusion? |
Planned: Light Metals |
| Keywords |
Aluminum, Characterization, Other |