CFD-based non-equilibrium wall heat transfer models for engine-relevant conditions

A. Sircar, D. C. Haworth

Research output: Contribution to conferencePaperpeer-review

Abstract

The goal of this research is to contribute towards the development of predictive, physics-based computational fluid dynamics (CFD) models for studying advanced internal combustion (IC) engines with high efficiency and low emissions. The lack of accurate submodels for in-cylinder heat transfer has been identified as a key shortcoming to this end. Recent measurements of wall layers in engines show discrepancies of up to 100% with respect to standard CFD boundary-layer models. Additionally, available experimental data are quite sparse (only a few data points on engine walls) and limited (available measurements are those of heat flux only). Predictive submodels are needed for medium-resolution engineering LES and for unsteady Reynolds-averaged simulations (URANS). Recently, some research groups have performed DNS studies on engine-relevant conditions using simple geometries which provide very useful data for benchmarking computational models. While some recent sophisticated (one-equation) models have been incorporated as a part of the current work, others of a more detailed nature are underway. These include solving additional partial differential equations (PDEs) within the thin boundary layer near the wall and fall under the category of non-equilibrium models. The main aim of this project is to develop such two-zone models for engine wall heat transfer and to test them against available DNS/experimental data in both SI (spark-ignition) and CI (compression-ignition) engines. Ultimately it is also intended to include the effect of radiation in these models.

Original languageEnglish (US)
StatePublished - 2018
Event2018 Spring Technical Meeting of the Eastern States Section of the Combustion Institute, ESSCI 2018 - State College, United States
Duration: Mar 4 2018Mar 7 2018

Other

Other2018 Spring Technical Meeting of the Eastern States Section of the Combustion Institute, ESSCI 2018
Country/TerritoryUnited States
CityState College
Period3/4/183/7/18

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering
  • Physical and Theoretical Chemistry
  • General Chemical Engineering

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