CFD-Guided Combustion System Optimization of a Gasoline Range Fuel in a Heavy-Duty Compression Ignition Engine Using Automatic Piston Geometry Generation and a Supercomputer

• DOI: 10.4271/2019-01-0001
• Publication Date: 2019-01-15T10:04:21Z
• Authors: Yuanjiang Pei; Pinaki Pal; Yu Zhang; Michael Traver; David Cleary; Carsten Futterer; Mattia Brenner; Daniel Probst; Sibendu Som
• Keywords: Piston (optics); Thermal efficiency

<div class="section abstract"><div class="htmlview paragraph">A computational fluid dynamics (CFD) guided combustion system optimization was conducted for a heavy-duty diesel engine running with gasoline fuel that has research octane number (RON) of 80. The goal to optimize the compression ignition (GCI) recipe (piston bowl geometry, injector spray pattern, in-cylinder swirl motion, and thermal boundary conditions) improved efficiency while maintaining engine-out NO<sub>x</sub> within 1-1.5 g/kW-hr window. numerical model developed using multi-dimensional CFD software CONVERGE. A two-stage design experiments (DoE) approach employed first stage focusing on piston shape second addressing refinement recipe. For optimizing tool, CAESES, utilized automatically perturb key parameters. This led generation 256 chamber designs evaluated at several operating conditions. DoE campaign patterns, injection strategies motion best performing from campaign. comprehensive study performed supercomputer, Mira, accelerate development an optimized fuel-efficiency focused design. Compared production in baseline engine, new this showed significantly closed-cycle across points meeting targets. Optimized patterns were predicted provide enhanced air utilization more rapid mixing-controlled combustion, thereby leading improvement. In addition, shifting conditions toward leaner operation also efficiency.</div></div>