ARGONNE, Ill ― Internal combustion engines are poised for dramatic breakthroughs in improving efficiency with lower emissions, thanks in part to low-temperature combustion regimes. Such regimes show great efficiency and emissions potential, but they present optimization and control challenges that must be addressed before they enter the engine mainstream.
Caterpillar Inc. (Cat), Peoria, Ill., recognizing that we are entering an age of high-fidelity engine modeling, turned to U.S. Department of Energy’s Argonne National Laboratory and its Virtual Engine Research Institute and Fuels Initiative (VERIFI), where experts are developing new engine combustion models that incorporate accurate descriptions of two-phase flows, chemistry, transport phenomena and device geometries to provide predictive simulations of engine and fuel performance. Cat and Argonne have entered into a Cooperative Research and Development Agreement (CRADA) along with Convergent Science, Inc., Madison, Wis., to further explore ways to predict how things work in diesel engine performance and emissions before any experimental work is conducted. This is the first such CRADA undertaken by VERIFI since its inception this spring.
Read more @ Caterpillar, Argonne undertake cooperative virtual engine design, control project
About Convergent Science
Founded in 1997 in Madison, Wisconsin, Convergent Science is a global leader in computational fluid dynamics (CFD) software. Its customers include leading automotive and commercial vehicle manufacturers, tier one suppliers, and professional motorsport teams.
Its flagship product, CONVERGE, includes groundbreaking technology that eliminates the user-defined mesh, fully couples the automated mesh and the solver at runtime, and automatically refines the mesh when and where it is needed. CONVERGE is revolutionizing the CFD industry and shifting the paradigm towards predictive CFD.