This project focuses on developing advanced computational models to accurately predict the static and fatigue mechanical behavior of lattice-structured constructs produced using laser powder bed fusion (LPBF). These models are crucial for optimizing the design and performance of 3D-printed constructs, particularly in orthopedic applications where implants must meet specific mechanical and biological requirements.

Finite element analysis (FEA) techniques are employed to simulate the structural behavior of the constructs under different loading conditions, allowing for precise analysis of stress distribution, deformation, and failure mechanisms. The models account for various factors, including material properties, internal defects, and surface roughness, which are inherent to the LPBF process.

The predictive models are validated through comparison with experimental data from mechanical tests and advanced imaging techniques such as computed tomography (CT) and scanning electron microscopy (SEM). By integrating this experimental data into the simulations, the project aims to improve the accuracy and reliability of the models.

The insights gained from this project will help optimize the design of lattice structures, enhancing the mechanical strength and biocompatibility of orthopedic implants. Ultimately, the computational models developed here can accelerate the design process, reduce material costs, and improve patient outcomes by enabling the creation of more effective, customized implants.