Demonstrating the Effectiveness of Stabilization and Convergence Acceleration Techniques in ANSYS Fluent

Design of many new products, including transportation vehicles to wind turbines to artificial heart valves, relies on simulation of fluid flow through and around objects. With advances in computational hardware and software, such simulations have become increasingly accurate and reliable. However, these simulations can still be very slow, or even completely fail to produce a result. Recent research at UBC has used methods from applied mathematics and machine learning to develop techniques to address these problems. This project — undertaken in collaboration with ANSYS Canada, a world leader in computer-aided engineering software — will demonstrate that our approach is suitable for use with large-scale problems and commercial flow simulation software. As a result, ANSYS Canada’s flow simulation software will be improved, adding value for their customers and increasing ANSYS Canada’s market share and revenue.

Faculty Supervisor:

Carl Ollivier-Gooch

Student:

Partner:

ANSYS Canada Ltd.

Discipline:

Engineering

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

The University of British Columbia

Program: