Work

A Data-Driven Reduced Order Modeling Approach Applied in Context of Numerical Analysis and Optimization of Plastic Profile Extrusion

Year: 2022

Type: conference-paper

Abstract: 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.

Source: European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS)

Authors: D. Hilger, N. Hosters

Institution: RWTH Aachen University

Language: English

Topic: Model Reduction and Neural Networks

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: hybrid

Funders: Deutsche Forschungsgemeinschaft, Forschungszentrum Jülich

Awards: G69884316, EXC 2023: Internet of Production (IoP)

OpenAlex ID: W4312266877