Research output per year
Research output per year
Project Details
Grant Program
Faculty Development Competitive Research Grant Program (AI and Data Science) 2024-2026
Project Description
The main purpose of this project is to create ML-driven mechanical metamaterials for potential applications in aerospace and biomedical industries, utilizing AM technologies. Upon successful completion, we expect to apply newly ML-assisted metamaterial designs for aerospace-grade parts and biomedical implants printed by metal Laser Powder Bed Fusion (L-PBF). Additionally, our objective includes the integration of the developed ML model with commercial software to facilitate the generation of metamaterials.
| Short title | Machine Learning-based Design Exploration for Additive Manufacturing |
|---|---|
| Acronym | ML-AM |
| Status | Active |
| Effective start/end date | 1/1/24 → 12/31/26 |
Keywords
- Machine learning
- Additive manufacturing
- Metamaterials
- Generative design
- Neural networks
- Reinforcement learning
- Genetic algorithm
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Research output
- 1 Conference contribution
-
Tensile Properties of the Mono-material and Multi-Material PLA and ABS Sandwich Structures
Dairabayeva, D., Perveen, A. & Talamona, D., 2024, 2024 15th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2024. Institute of Electrical and Electronics Engineers Inc., p. 168-172 5 p. (2024 15th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
5 Link opens in a new tab Citations (Scopus)