Application of the SRM Engine Suite over the Entire Load-Speed Operation of a U.S. EPA Tier 4 Capable IC Engine Caterpillar

Format:

Conference/Event

Author/Creator:

Bernard, Bernard, author.

Contributor:

Bhave, Amit

Dizy, Julian

Ooi, David

Scaife, Mark

Conference Name:

SAE 2016 World Congress and Exhibition (2016-04-12 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2016

Summary:

AbstractInternal combustion (IC) engines that meet Tier 4 Final emissions standards comprise of multiple engine operation and control parameters that are essential to achieve the low levels of NOx and soot emissions. Given the numerous degrees of freedom and the tight cost/time constraints related to the test bench, application of virtual engineering to IC engine development and emissions reduction programmes is increasingly gaining interest. In particular, system level simulations that account for multiple cycle simulations, incylinder turbulence, and chemical kinetics enable the analysis of combustion characteristics and emissions, id est beyond the conventional scope of focusing on engine performance only. Such a physico-chemical model can then be used to develop Electronic Control Unit in order to optimise the powertrain control strategy and/or the engine design parameters. A probability density function (PDF) based Stochastic Reactor Model (SRM) Engine Suite and a commercial 1D engine cycle simulator were applied to simulate a Cat® C4.4 ACERT Tier 4 capable engine during the early phases of engine development. The SRM Engine Suite uses detailed chemical kinetics schemes for Diesel fuel and fuel blends, and contains models to describe turbulence, heat transfer, multiple direct injections and exhaust gas recirculation (EGR). In particular, the heat transfer sub-model was further improved to better account for the contribution of the heat release source term. The software was applied and validated rigorously for combustion characteristics (in-cylinder pressure profile, heat release rate, combustion duration, et cetera) and NOx emissions data over the entire load-speed operating window of the Tier 4 capable engine. A benchmark process is introduced and partially applied to compare SRM Engine Suite and GT DIPulse combustion models

Notes:

Vendor supplied data

Publisher Number:

2016-01-0571

Access Restriction:

Restricted for use by site license