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Optimizing Fused Deposition Modeling Process Parameters for Enhanced Build Time and Mechanical Strength Moulay Ismail University, Department of Mechanics and Integr
- Format:
- Book
- Conference/Event
- Author/Creator:
- EL Azzouzi, Adil, author.
- Conference Name:
- Automotive Technical Papers (2024-01-01 : Warrendale, Pennsylvania, United States)
- Language:
- English
- Physical Description:
- 1 online resource cm
- Place of Publication:
- Warrendale, PA SAE International 2024
- Summary:
- In this study, we investigate the optimization of additive manufacturing (AM) parameters using a bi-objective optimization approach through the non-dominated sorting genetic algorithm II (NSGA-II). The objectives are to minimize build time and maximize mechanical strength. Experimental evaluations are conducted on various process parameters, including layer thickness, build orientation, and infill density, with a focus on their impact on build time and mechanical properties. Optimal parameter combinations, such as the lowest layer thickness, vertical build orientation, and relatively low fill density, are identified for maximizing tensile strength while minimizing build time. The consistency between experimental results and those obtained through NSGA-II validation validates the reliability of the optimization approach. Overall, this study contributes to the advancement of AM by providing insights into efficient parameter optimization strategies for enhancing both efficiency and performance in extrusion-based processes
- Notes:
- Vendor supplied data
- Publisher Number:
- 2024-01-5082
- Access Restriction:
- Restricted for use by site license
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