0

Full Content is available to subscribers

Subscribe/Learn More  >

Remote Sensing of Fuel Systems Using Real-Time 1D CFD

[+] Author Affiliations
Matthew Viele

Drivven, Inc., Elizabeth, CO

Isaac Liu

University of California, Berkeley, Berkeley, CA

Guoqiang Wang, Hugo Andrade

National Instruments Corp., Berkeley, CA

Bryan Willson

Colorado State University, Fort Collins, CO

Paper No. ICES2012-81138, pp. 605-614; 10 pages
doi:10.1115/ICES2012-81138
From:
  • ASME 2012 Internal Combustion Engine Division Spring Technical Conference
  • ASME 2012 Internal Combustion Engine Division Spring Technical Conference
  • Torino, Piemonte, Italy, May 6–9, 2012
  • Conference Sponsors: Internal Combustion Engine Division
  • ISBN: 978-0-7918-4466-3
  • Copyright © 2012 by ASME

abstract

Many modern engine systems are designed using one-dimensional computational fluid dynamics (1D CFD). This same technique can be used to model these systems in real time. This real-time model can be used to create virtual sensors in places where due to environmental or cost reasons physical sensors would not be practical. Achieving real-time performance of the CFD model requires more throughput than is available on single processor systems, so an Field Programmable Gate Array (FPGA) is employed. By employing an FPGA, we can synthesize and reconfigure our system to ensure determinism and lower resource usage. We instantiate several dedicated processing cores for parallel processing of sub-volumes. The number of cores can be configured to support up to 500 fluid volumes, more than enough for common 1D CFD models used in engines. This paper evaluates the feasibility of such a system and evaluates the complexity of such models against the GT-SUITE simulation software.

Copyright © 2012 by ASME

Figures

Tables

Interactive Graphics

Video

Country-Specific Mortality and Growth Failure in Infancy and Yound Children and Association With Material Stature

Use interactive graphics and maps to view and sort country-specific infant and early dhildhood mortality and growth failure data and their association with maternal

NOTE:
Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In