GPU Accelerated Flow Solver - Code Leo

Michael Ni provides a sneak peak into our latest technology - A GPU accelerated flow solver.  In this webinar, Michael will discuss the reasons behind adopting GPU technology as well as take you through some concrete examples of the price to performance improvements when using the GPU accelerated technology for turbomachinery CFD simulations  

Total time: (13:42)

Root Cause Analysis

Dr. Ron-Ho Ni leads this webinar on root cause analysis, when CFD data and experimental data don't match.  In this webinar, the ADS team shares their root cause analysis methodology as well as their experiences validating Code LEO and Code WAND for turbomachinery applications.

Total time: (58:06)

CFD and Cloud Computing

AeroDynamic Solutions Product Manager, Michael Ni, leads this webinar on running CFD simulations on Cloud Computing infrastructure.  In this webinar, you will learn about the history of the cloud, the architecture of the cloud, why CFD is well suited to cloud infrasture, and the challenges of developing for the cloud.  You'll also be introduced to our cloud enabled service called Cloud LEO.

Total time: (43:28)

ADS Introduction

AeroDynamic Solutions Product Manager, Michael Ni, leads this webinar introducing our company background, expertise, and the values we hold.  Also learn where AeroDynamic Solutions' products fit within the modern turbomachinery design cycle.  

Total time: (30:00)

Mesh Topology Influence on Volute Aerodynamic Performance Computed Using Code Leo

In this recorded webinar, we evaluate a generic volute design. Simulations were performed using Code Leo, a computational fluid dynamics (CFD) solver developed by AeroDynamic Solutions (ADS), on three different grid types generated with Pointwise: multi-block structured, unstructured with a hexahedral boundary layer, and unstructured with a prismatic boundary layer. We will describe the process for generating each grid, and discuss their relative pros and cons regarding meshing time and ease of modification. In addition, we will evaluate the numerical solutions from each of the three mesh topologies for accuracy and overall solution turnaround time.

Total time: (47:18)

GT2013-94716 Conjugate Heat Transfer

Senior CFD Engineer, Will Humber, reviews a comparison of predictions from conjugate heat transfer analysis of film-cooled turbine vanes to experimental data.  

Total time: (45:19)