Design and experimental validation of self-supporting topologies for additive manufacturing
Incorporating additive manufacturing (AM) constraints in topology optimisation can lead to performance optimality while ensuring manufacturability of designs. Numerical techniques have been previously proposed to obtain support-free designs in AM, however, few works have verified the manufacturabili...
Main Authors: | Yun-Fei Fu, Bernard Rolfe, Louis N. S. Chiu, Yanan Wang, Xiaodong Huang, Kazem Ghabraie |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2019-10-01
|
Series: | Virtual and Physical Prototyping |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/17452759.2019.1637023 |
Similar Items
-
Parametric studies and manufacturability experiments on smooth self-supporting topologies
by: Yun-Fei Fu, et al.
Published: (2020-01-01) -
Topology optimization for metal additive manufacturing: current trends, challenges, and future outlook
by: Osezua Ibhadode, et al.
Published: (2023-12-01) -
Design & Manufacture of a High-Performance Bicycle Crank by Additive Manufacturing
by: Iain McEwen, et al.
Published: (2018-08-01) -
Adopting feature resolution and material distribution constraints into topology optimisation of additive manufacturing components
by: Shashi Ranjan Mohan, et al.
Published: (2019-01-01) -
On Topology Optimisation Methods and Additive Manufacture for Satellite Structures: A Review
by: Arturo Benjamín Hurtado-Pérez, et al.
Published: (2023-12-01)