We are pleased to share a newly published study highlighting the capabilities of RBF Morph technology, now available in Purdue University’s online repository. Titled “Shape optimization of a Roots blower rotor profile using CFD model with a coupled Adjoint-Sculpting method,” the research explores innovative methods for enhancing the performance of rotary positive displacement machines.

Authored by Neeraj Bikramaditya, Sham Rane, and Ahmed Kovacevic from the University of London, the study focuses on optimizing the rotor tip shape of a Roots blower to improve volumetric efficiency by minimizing clearance gaps between the rotors and housing.

The research introduces a novel approach called Adjoint-Sculpting, which combines the Fluent-Adjoint solver for predictive design insights with RBF Morph technology for seamless shape adaptation. This method preserves the quality of the base volume mesh and eliminates the need for remeshing during optimization. Using a 2D simplified Roots blower model, the study compares the Adjoint methodology with conventional CFD approaches, exploring variations in rotor tip shapes and configurations to identify optimal solutions.

The findings demonstrate that the Adjoint-Sculpting approach significantly enhances the efficiency and precision of shape optimization compared to traditional methods. Additionally, the study highlights the limitations of using moving wall boundary conditions for optimization, offering valuable insights for advancing compressor technology and reducing computational resource demands.

This research underscores the potential of RBF Morph in fluid dynamics applications, particularly in streamlining complex optimization processes for engineering design.

Read the full study here.