The thesis Structural Shape Optimization Using BGM at the Root of Thermal Turbine Blades, presented by Simone Putzu at the University of Rome Tor Vergata, provides a rigorous exploration of innovative methodologies for structural optimization. Focused on axial turbine blade roots, the work integrates advanced computational tools and methodologies to enhance the mechanical performance of critical turbine components.
Central to this research is the application of the RBF Morph ACT Extension within ANSYS Mechanical, leveraging Radial Basis Functions (RBF) for precise and adaptable mesh morphing. This tool enables seamless updates to geometries by controlling displacement-imposed point clouds with unparalleled accuracy, all while preserving the original topology. The thesis demonstrates how this capability integrates with Finite Element Method (FEM) analyses, ensuring a streamlined and robust optimization workflow.
A key methodological approach employed is the Biological Growth Method (BGM), which mimics natural growth processes to refine the structural shape of turbine blade roots. This method effectively reduces stress concentrations, achieving isotensional surfaces that significantly improve the fatigue life of these components.
The RBF Morph tool, originally introduced for ANSYS Fluent in 2009 and extended to Mechanical in 2015, has proven instrumental in advancing both automated and semi-automated workflows. Its flexibility extends to modern manufacturing contexts, including Additive Manufacturing, while accommodating traditional machining constraints. This versatility ensures that optimized geometries are not only computationally feasible but also industrially applicable.
Putzu’s work highlights the potential of combining cutting-edge simulation tools with bio-inspired design methodologies, offering valuable insights into the future of structural optimization in turbine technology. The findings provide a compelling case for the broader adoption of such methods in industrial applications.
Read the presentation or the full thesis.