| Topology Optimization Design for Additive Manufacturing Using Moving Morphable Components and Method of Moving Asymptotes |
| کد مقاله : 1381-ISME2024 |
| نویسندگان |
|
محمدسجاد رمضانی1، Hossein Soroush2، سعید خدایگان *1 1دانشگاه صنعتی شریف 2Sharif University of Technology |
| چکیده مقاله |
| This study investigates topology optimization for additive manufacturing (AM) using the Moving Morphable Components (MMC) method combined with the Method of Moving Asymptotes (MMA). The proposed algorithm comprises six steps, including problem definition, topology describing functions (TDF) setup, initial components assignment, and post-processing. A cantilever beam under end-loading was analyzed as a case study. The main objective was to minimize strain energy under a volume constraint. Results indicated that careful selection of MMA parameters significantly impacts algorithm stability and convergence. The study also explored the sensitivity of MMA hyperparameters, demonstrating their role in preventing oscillation near the global optimum answer. The final optimized model achieved reduced strain energy and enhanced structural stiffness while maintaining manufacturability. Geometric parameter adjustments and removal of sharp corners helped prevent stress concentration and further improved results. This study demonstrates that integrating the MMC method with MMA can significantly enhance topology optimization performance in various design objectives and constraints. |
| کلیدواژه ها |
| Topology optimization, Additive manufacturing, Moving morphable components, Method of moving asymptotes, Topology describing function |
| وضعیت: پذیرفته شده برای ارائه شفاهی |