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Mercedes-Benz unveils its revamped G-Class

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The all-new G-Class makes its public debut at the Detroit auto show in G550 form. Completely redeveloped and fitted with a 4.0-liter V8 biturbo gasoline engine offering 427ps and 450 lb-ft of torque at 2,000rpm to 4,750rpm, despite near-identical looks to its predecessor plenty has changed for the Mercedes-Benz SUV.


Ford’s F150 pickup gets its first diesel motor

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Developed by the powertrain team behind the 6.7-liter Power Stroke engine for super duty trucks, the all-new 3.0-liter V6 Power Stroke unit promises 250ps, 440 lb-ft of torque, and an anticipated 5175kg of towing capacity.


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In light of Fisker's solid-state battery breakthrough and claims of a one minute charge time, will this electric vehicle technology development kick-start mass BEV uptake? 

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Caterpillar and Argonne undertake cooperative virtual engine design project

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, recognizing that the automotive world is 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 of Madison, Wisconsin, 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.

A computer-generated visualization shows the multi-dimensional flow inside the fuel injector sac and orifice of a multi-hole diesel fuel injector

Cat anticipates that simulations developed by VERIFI’s researchers will reduce the time and cost of the design cycle for new engines, allow the rapid adaptation of fuels from new sources and lead to substantial increases in fuel economy while meeting future emissions standards. “Working with Argonne researchers will provide us access to their high-performance computing facilities and expertise in spray and combustion modeling that will improve our simulation practices at Caterpillar,” said Marcus Weber, team leader at Caterpillar.

Convergent Science is a world leader in computational fluid dynamics (CFD) software development. The company’s flagship product, Converge, is used for CFD simulations in many industries. The staff at Convergent Science are experts in CFD simulations, numerical methods, model development and implementation and were instrumental in adapting high-performance computing practices in the Converge code.

VERIFI applies state-of-the-art tools in high-performance computing, combustion chemistry, CFD, and experimental validation techniques to develop high-fidelity, three-dimensional, end-to-end, combustion engine simulation/visualization and fuel simulation. Advances in high-performance computing enable VERIFI researchers to run engine simulations in parallel on thousands, or even hundreds of thousands of processors. While efficient scaling of engine simulations to such massively parallel machines remains a significant challenge, such calculations will ultimately allow not only the rapid engineering of specific engine designs, fuels and operation conditions, but also allow their optimization.

2 July 2014


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