Multi-Objective Optimization in Metal Fused Deposition Modeling: A Study on physical characteristics of M300 Tool steel and SS 17-4
Project ID: AIRG/2024/MPE/07/11
Funding Source: AUST Internal Research Grant
Project Awarded: 20th April 2025
Principal Investigator:
Ms. Afia Ahsan
Lecturer (Grade-II)
MPE Department, AUST
afia.ipe@aust.edu
Co-principal Investigator/s:
Mr. Shah Murtoza Morshed
Lecturer (Grade-I)
MPE Department, AUST
murtoza.ipe@aust.edu
Ms. Mir Ramisha Bari
Lecturer (Grade-I)
MPE Department, AUST
ramisha.ipe@aust.edu
Dr. Muhommad Azizur Rahman
Associate Professor
BRAC Business School, BRAC University
azizur.rahman@bracu.ac.bd
Project Duration: 2 Years
Budget Approved: 10,00,000.00
Expected Research Outcomes:
- Identification of optimal FDM process parameters (e.g., nozzle diameter, layer height, infill density, print speed) for M300 TOOL STEEL and Stainless Steel 17-4 filaments, leading to enhanced print quality and mechanical performance.
- Development of printed parts with superior tensile strength, hardness, and thermal stability, meeting industrial application standards for mechanical integrity and durability.
- A Bayesian optimization framework tailored for multi-objective problems, enabling efficient trade-offs among conflicting objectives such as mechanical strength, thermal stability, and dimensional accuracy.
- Reduction in porosity and shrinkage through optimized debinding and sintering processes, resulting in densified printed components with reduced defects.
- Detailed characterization of the printed parts using standards (e.g., ASTM E18, E8), TGA and SEM, offering insights into thermal and microstructural behavior.
- Creation of the opportunity for advanced research, foster interdisciplinary collaborations, and provide hands-on learning opportunities for students in cutting-edge manufacturing technologies. By integrating advanced equipment and optimization methodologies.
- Advancement of SDG 12 and SDG 9 in metal additive manufacturing.