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Transforming Process Knowledge into Manufacturing Constraints in Topology Optimization for the Direct Manufacturing of Extrusion-Based Additively Manufacturing Parts

Title data

Rosnitschek, Tobias ; Baumann, Tobias ; Orgeldinger, Christian ; Alber-Laukant, Bettina ; Tremmel, Stephan:
Transforming Process Knowledge into Manufacturing Constraints in Topology Optimization for the Direct Manufacturing of Extrusion-Based Additively Manufacturing Parts.
2022
Event: 1st International Conference on Additive Manufacturing (ICAM) , 26.09.-27.09.2022 , Lagos, hybrid.
(Conference item: Conference , Speech )

Abstract in another language

Additive Manufacturing is a potentially disruptive technology with a high impact on supply chains and part design. While generally allowing much higher degrees of freedom in design than formative and subtractive manufacturing techniques, the necessity of support structures can diminish the impact of additive manufacturing. This article presents a methodology based on finite-spheres to integrate knowledge about process limitations into topology optimization for the direct extrusion-based additive manufacturing of parts with maximized stiffness and strength and minimized support structures. This methodology has been included within our self-developed Freeware Z88 Arion® V3. We investigated the impact of the manufacturing constraints on the additive manufacturing process regarding effective material usage on application test examples. The test results showed that the design proposals created while applying the finite-spheres and two-step smoothing needed significantly less or no support material for all application examples.

Further data

Item Type: Conference item (Speech)
Refereed: Yes
Institutions of the University: Faculties > Faculty of Engineering Science > Former Professors > Chair Engineering Design and CAD - Univ.-Prof. Dr.-Ing. Frank Rieg
Faculties > Faculty of Engineering Science > Chair Engineering Design and CAD > Chair Engineering Design and CAD - Univ.-Prof. Dr.-Ing Stephan Tremmel
Result of work at the UBT: Yes
DDC Subjects: 600 Technology, medicine, applied sciences > 620 Engineering
Date Deposited: 24 Oct 2022 10:01
Last Modified: 24 Oct 2022 10:01
URI: https://eref.uni-bayreuth.de/id/eprint/72486