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Seminar

Enrichment Week (only for BINUS ASO) Advanced research in 3D additive manufacturing

Advanced research in 3D additive manufacturing is pushing the boundaries of how materials and complex structures can be designed, fabricated, and optimized. While 3D printing has revolutionized prototyping and customization, critical challenges remain, including defects during fabrication, inconsistent mechanical performance, and limited control over process parameters. Addressing these issues requires a deeper understanding of material behavior and process dynamics, particularly at micro and nano scales, where small variations can significantly impact final product quality.

Recent advancements are increasingly driven by the integration of machine learning, physics-based modeling, and digital twin technologies. These approaches enable more accurate prediction of printing outcomes, real-time monitoring, and adaptive control of manufacturing processes. By combining data-driven insights with fundamental engineering principles, researchers are developing smarter systems that can detect defects before they occur, optimize material usage, and significantly improve reliability.

As these innovations continue to evolve, additive manufacturing is moving closer to becoming a fully predictive and autonomous production method. This shift not only enhances efficiency and scalability but also opens new possibilities for designing complex, high-performance components across industries such as aerospace, healthcare, and advanced manufacturing.

Organized By

BINUS ASO SCHOOL OF ENGINEERING

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