Abstract
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 operational parameters and process variability affect die temperature using quantitative data. It was acquired from a series of experiments performed on a commercial low-pressure die casting (LPDC) process for automotive wheel production. The operational parameters considered include the pressure fill-curve, cooling duration, water flow rate, and environmental temperature. 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 when the flow rate is below 300 L/h. Additionally, there were no noticeable influences caused by adjusting the pressure fill-curve and environmental temperatures in the tested ranges.KeywordsLPDCA356 wheelPlant trialProcess characterization
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