Research Focus:
Cansin's PhD project focuses on understanding and modeling fatigue crack growth behavior in metallic materials produced by additive manufacturing, particularly 316L stainless steel fabricated using the laser powder bed fusion (LPBF) technique. Her research involves detecting fatigue crack growth rates through microscopic monitoring and thermal imaging, and analyzing the microstructure of additively manufactured components using high-resolution imaging tools such as scanning electron microscopy (SEM) and X-ray computed tomography (XCT). The project aims to establish a reliable relationship between microstructure and fatigue performance to improve the mechanical reliability of 3D-printed metallic parts.
Key Technologies:
Additive manufacturing, LPBF, fatigue testing, SEM, XCT, thermal imaging, microstructural analysis.
Applications:
Structural integrity assessment, process optimization, and fatigue life prediction of additively manufactured metallic components.
Research Group: Smart Structures and Manufacturing (SSM)
Supervisor: Dr. Mohammad Malekan
Duration: 2024 – 2027
Research Profiles:
🔗 SDU Research Portal
🔗 ResearchGate