Cost-effective 3D printing: support structure discovery using reinforcement learning in 3D simulation
The project investigates the integration of reinforcement learning techniques, specifically Proximal Policy Optimization (PPO), into 3D printing design, with a focus on material optimisation and support structure discovery. The research explores the capabilities of RL algorithms in optimising decisi...
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格式: | Final Year Project |
語言: | English |
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Nanyang Technological University
2024
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在線閱讀: | https://hdl.handle.net/10356/175147 |
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機構: | Nanyang Technological University |
語言: | English |