Abstract
Triply periodic minimal surface (TPMS) lattices have drawn great attention both in academic and industrial perspective due to their outstanding mechanical behaviours. Additive manufacturing (AM) modalities enable the production of these lattices very easily. However, dimensional inaccuracy is still one of the problems that AM still faces with. Manufacturing of these lattices with AM modalities, then measuring the critical dimensions and making design changes accordingly is a costly process. Therefore, it is necessary to predict the dimensional deviation of TPMS lattices before print is a key topic. This study focused on prediction of dimensional deviation of laser powder bed fusion (LPBF) produced gyroid, diamond, primitive, IWP and Fisher-Koch lattices by using thermomechanical simulations. TPMS type, unit cell size, volume fraction, functional grading and part orientation were selected as design variables. Results showed that all the design inputs have effects on dimensional accuracy of LPBF produced parts and TPMS type has the most critical factor. Based on analysis of variance analysis, an optimum lattice configuration was proposed to obtain the lowest dimensional deviation after LPBF build.
Original language | English |
---|---|
Article number | 045009 |
Number of pages | 14 |
Journal | Modelling and Simulation in Materials Science and Engineering |
Volume | 32 |
Issue number | 4 |
Early online date | 16 Apr 2024 |
DOIs | |
Publication status | Published - 30 Jun 2024 |
Data Availability Statement
The data cannot be made publicly available upon publication because they are not available in a format that is sufficiently accessible or reusable by other researchers. The data that support the findings of this study are available upon reasonable request from the authors.Keywords
- functional grading
- LPBF
- part orientation
- process simulation
- TPMS
- unit cell size
- volume fraction
ASJC Scopus subject areas
- Modelling and Simulation
- General Materials Science
- Condensed Matter Physics
- Mechanics of Materials
- Computer Science Applications