Data-Driven Design Support for Additively Manufactured Heating Elements

DS 116: Proceedings of the DESIGN2022 17th International Design Conference

Year: 2022
Editor: Mario Štorga, Stanko Škec, Tomislav Martinec, Dorian Marjanović
Author: Karl Hilbig, Maximilian Nowka, Julian Redeker, Hagen Watschke, Vincent Friesen, Anna Duden, Thomas Vietor
Series: DESIGN
Institution: Technische Universit
Section: Design for Additive Manufacturing
Page(s): 1391-1400
DOI number: https://doi.org/10.1017/pds.2022.141
ISSN: 2732-527X (Online)

Abstract

Additive Manufacturing (AM) enables innovative product designs. One promising research field is AM of integrated electrically structures, e.g. heating panels using Joule effect. A mayor challenge in designing heating panels using AM is the dependency of its resultant resistivity from material, process and geometry parameters. The goal-oriented design of heating panels with individual surface temperatures the interactions between these parameters need to be understand. Therefore, a data-driven design approach is developed that facilitates a design of heating panels with specific properties.

Keywords: data-driven design, design support system, additive manufacturing, electrically conductive polymers, heat-generating structures