Understanding Fluid Flow in Microchannels using a CometCloud-based Federated HPC infrastructure

Project Details

Project Lead
Javier Diaz Montes 
Project Manager
Javier Diaz Montes 
Project Members
Ivan Rodero, Jaroslaw Zola  
Institution
Rutgers, The State University of New Jersey, Rutgers Discovery Informatics Institute (RDI2) / NSF Center for Cloud and Autonomic Computing (CAC)  
Discipline
Engineering Science and Engineering Physics (107) 
Subdiscipline
14.13 Engineering Science 

Abstract

The ability to control fluid streams at microscale has significant applications in many domains, including biological processing, guiding chemical reactions, and creating structured materials, to name just a few. Recently, it has been discovered that placing pillars of different dimensions, and at different offsets, allows "sculpting" the fluid flow in microchannels. The design and placement of sequences of pillars allows a phenomenal degree of flexibility to program the flow. However, to achieve such a control it is necessary to understand how flow is affected by different input parameters.
The problem is challenging for several reasons. The search space consists of tens of thousands of points, and an individual simulation may take hundreds of core-hours, even when executed on a state-of-the-art HPC cluster. The individual simulations, although independent, are highly heterogeneous and their cost is very difficult to estimate a priori, owing to varying resolution and mesh density required for different configurations. Finally, because the non-linear solver is iterative, it may fail to converge for some combinations of input parameters, which necessitates fault-tolerance.

Intellectual Merit

The goal of this project is to understand how different microchannel parameters affect fluid flow [1]. To achieve this we will explore the use of CometCloud to provide a novel user-centered federation model. [1] H. Amini, E. Sollier, M. Masaeli, et al. Engineering fluid flow using sequenced microstructures. Nature Communications, 2013. (http://www.nature.com/ncomms/journal/v4/n5/full/ncomms2841.html)

Broader Impacts

The outcome of this research will provide the most comprehensive data on the effect of pillars on microfluid channel flow. This has an important impact on a number of many domains, including biological processing, guiding chemical reactions, and creating structured materials. Moreover, the user-centered computational federation that will be validated in this project can be used for a large number of applications and domains.

Scale of Use

We plan to use several systems such a India, Sierra and Hotel for several weeks.

Results

Website of the project, which includes a technical report: http://nsfcac.rutgers.edu/uff/

Javier Diaz-Montes, Manish Parashar, Ivan Rodero, Jaroslaw Zola, Baskar Ganapathysubramanian, Yu Xie; CometCloud: Using a Federated HPC-Cloud to Understand Fluid Flow in Microchannels, Hpc in the Cloud, May 2013.

Javier Diaz-Montes, Manish Parashar, Ivan Rodero, Jaroslaw Zola, Baskar Ganapathysubramanian, Yu Xie; Understanding Fluid Flow in Microchannel, Digital Manufacturer Report, May 2013.