A Data-driven Reduced Order Modeling Approach Applied In Context Of Numerical Analysis And Optimization Of Plastic Profile Extrusion
This work addresses a domain-specific issue for plastic extrusion manufacturing, focusing on incremental improvements in process optimization.
The researchers tackled the problem of predicting temperature distributions in plastic profile extrusion to prevent warpage and damage, by developing a data-driven reduced order model (ROM) as a step toward process control.
In course of this work, we examine the process of plastic profile extrusion, where a polymer melt is shaped inside the so-called extrusion die and fixed in its shape by solidification in the downstream calibration unit. More precise, we focus on the development of a data-driven reduced order model (ROM) for the purpose of predicting temperature distributions within the extruded profiles inside the calibration unit. Therein, the ROM functions as a first step to our overall goal of prediction based process control in order to avoid undesired warpage and damages of the final product.