Viscous Fluid Dynamics App for Mobile Devices Using a Remote High Performance Cluster

Jared Rayleigh Wilson; Kurt C. Gramoll

Download Paper | Permalink

Conference: 2015 ASEE Annual Conference & Exposition
Location: Seattle, Washington
Publication Date: June 14, 2015
Start Date: June 14, 2015
End Date: June 17, 2015
ISBN: 978-0-692-50180-1
ISSN: 2153-5965
Conference Session: Thermodynamics, Fluids and Heat Transfer II
Tagged Division: Mechanical Engineering
Page Count: 16
Page Numbers: 26.1706.1 - 26.1706.16
DOI: 10.18260/p.25042
Permanent URL: https://peer.asee.org/25042
Download Count: 525

Paper Authors

biography

Jared Rayleigh Wilson

visit author page

Jared Wilson received his B.S. and M.S. in Mechanical Engineering from the University of Oklahoma in 2014. He is currently working as a mechanical engineer for Leidos Engineering within Oklahoma City designing commercial piping systems for both private and public sectors.

visit author page

biography

Kurt C. Gramoll University of Oklahoma

visit author page

Prof. Kurt Gramoll is currently the Hughes Centennial Professor of Engineering at the University of Oklahoma. He has previously taught at the University of Memphis and Georgia Tech. He graduated from Virginia Tech with a PhD in Engineering Science and Mechanics in 1988. His research includes development and implementation of educational technologies for engineering education and training that utilize simulations.

visit author page

Download Paper | Permalink

Abstract

Viscous Fluid Dynamics App for Mobile Devices Using a Remote High Performance ClusterClassrooms and the learning process are becoming increasingly interactive as students shifttoward mobile learning platforms, yet there is a distinct lack of engineering mobile apps. Thisresearch attempts to address this issue by developing and implementing with an online,interactive mobile app for fluid flow, flowHPC, which enhances the engineering student’s accessto basic fluid flow information. The tool models fluid flow around any two-dimensional cross-section, and allows students to interactively experience many fundamental aspects of fluiddynamics including viscid and inviscid flows, instantaneous drag and lift coefficients, and avisualization of velocity vectors, pressure distributions, and streamlines about a two-dimensionalobject.By taking advantage of a remote, high performance cluster (HPC), the relatively lowcomputational power of mobile devices was alleviated. Educationally, this allows the student toaccess a finite element fluid flow package outside of the class and without any additional cost.This permits anyone with an internet access to solve intensive engineering problems on asmartphone or tablet at their convenience. Since the solution is done at a remote cluster withdozens of CPUs (hundreds of cores), the local client CPU is not relevant other than minordrawing routines.FlowHPC has been developed to allow the user to interactively specify the shape of an objectwithin a 2D flow field as well as the velocity, density, and dynamic viscosity of the flow. Thetool has been used by students in a basic fluid dynamics course to help them determine drag forobjects in solving flow problems. This is used as a second source for drag coefficients, the firstbeing engineering handbooks (or textbook appendices). It has not been used to teach CFD orfinite elements. Student’s positive feedback on using the tool for classroom discussions andassignments in a traditional fluid dynamics class is presented. FlowHPC was constructed as areference tool to help students solve standard fluid mechanic problems.Technically, FlowHPC produces and solves a Galerkin formulation of the 2D primitive variableNavier-Stokes equations, i.e. velocity and pressure. The Galerkin formulation produces a set ofnonlinear equations. After Picard linearization, a sparse linear equation solver, PARDISO fromIntel’s math kernel library (MKL), was wrapped inside a Picard iteration scheme to converge onthe solution.

Citation
Format

Wilson, J. R., & Gramoll, K. C. (2015, June), Viscous Fluid Dynamics App for Mobile Devices Using a Remote High Performance Cluster Paper presented at 2015 ASEE Annual Conference & Exposition, Seattle, Washington. 10.18260/p.25042

TY  - CPAPER
AB  -                    Viscous Fluid Dynamics App for Mobile Devices                     Using a Remote High Performance ClusterClassrooms and the learning process are becoming increasingly interactive as students shifttoward mobile learning platforms, yet there is a distinct lack of engineering mobile apps. Thisresearch attempts to address this issue by developing and implementing with an online,interactive mobile app for fluid flow, flowHPC, which enhances the engineering student’s accessto basic fluid flow information. The tool models fluid flow around any two-dimensional cross-section, and allows students to interactively experience many fundamental aspects of fluiddynamics including viscid and inviscid flows, instantaneous drag and lift coefficients, and avisualization of velocity vectors, pressure distributions, and streamlines about a two-dimensionalobject.By taking advantage of a remote, high performance cluster (HPC), the relatively lowcomputational power of mobile devices was alleviated. Educationally, this allows the student toaccess a finite element fluid flow package outside of the class and without any additional cost.This permits anyone with an internet access to solve intensive engineering problems on asmartphone or tablet at their convenience. Since the solution is done at a remote cluster withdozens of CPUs (hundreds of cores), the local client CPU is not relevant other than minordrawing routines.FlowHPC has been developed to allow the user to interactively specify the shape of an objectwithin a 2D flow field as well as the velocity, density, and dynamic viscosity of the flow. Thetool has been used by students in a basic fluid dynamics course to help them determine drag forobjects in solving flow problems. This is used as a second source for drag coefficients, the firstbeing engineering handbooks (or textbook appendices). It has not been used to teach CFD orfinite elements. Student’s positive feedback on using the tool for classroom discussions andassignments in a traditional fluid dynamics class is presented. FlowHPC was constructed as areference tool to help students solve standard fluid mechanic problems.Technically, FlowHPC produces and solves a Galerkin formulation of the 2D primitive variableNavier-Stokes equations, i.e. velocity and pressure. The Galerkin formulation produces a set ofnonlinear equations. After Picard linearization, a sparse linear equation solver, PARDISO fromIntel’s math kernel library (MKL), was wrapped inside a Picard iteration scheme to converge onthe solution.
AU  - Jared Rayleigh Wilson
AU  - Kurt C. Gramoll
CY  - Seattle, Washington
DA  - 2015/06/14
PB  - ASEE Conferences
TI  - Viscous Fluid Dynamics App for Mobile Devices Using a Remote High Performance Cluster
UR  - https://peer.asee.org/25042
DO  - 10.18260/p.25042
ER  -