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Technical Paper

Advanced Computational Methods for Predicting Flow Losses in Intake Regions of Diesel Engines

1997-02-24
970639
A computational methodology has been developed for loss prediction in intake regions of internal combustion engines. The methodology consists of a hierarchy of four major tasks: (1) proper computational modeling of flow physics; (2) exact geometry and high quality and generation; (3) discretization schemes for low numerical viscosity; and (4) higher order turbulence modeling. Only when these four tasks are dealt with properly will a computational simulation yield consistently accurate results. This methodology, which is has been successfully tested and validated against benchmark quality data for a wide variety of complex 2-D and 3-D laminar and turbulent flow situations, is applied here to a loss prediction problem from industry. Total pressure losses in the intake region (inlet duct, manifold, plenum, ports, valves, and cylinder) of a Caterpillar diesel engine are predicted computationally and compared to experimental data.
Technical Paper

A High-Fidelity Human Factors Study System for Autonomous Vehicles

2020-04-14
2020-01-1034
Autonomous vehicles are leading to a new paradigm for our future transportation systems and they have been extensively studied by both academia and industries. Currently, most efforts have been focused on safety and efficiency development. However, human factors, an important topic in autonomous vehicles, have not been extensively studied. Human factors may seriously affect the comfort and user acceptance of autonomous vehicles even though their safety and efficiency are granted. To address this problem, a capable autonomous driving platform with appropriate human and vehicle information acquisitions and cost-effective implementations is needed. At current stage when there is no well-developed autonomous vehicle that can serve as full autonomous driving experimental platform for human factors study, an in-lab autonomous driving simulation system is needed for research on human factors in autonomous vehicles.
Technical Paper

A Dynamic Driving Course for Military Personnel -Curriculum and Assessment Results

2015-04-14
2015-01-0130
Driving skills and driving experience develop differently between a civilian and a military service member. Since 2000, the Department of Defense reports that two-thirds of non-related to war fatalities among active duty service members were due to transportation-related incidents. In addition, vehicle crashes are the leading non-related to war cause of both fatalities and serious injuries among active duty Marines. A pilot safe driving program for Marines was jointly developed by the Richard Petty Driving Experience and Clemson University Automotive Safety Research Institute. The pilot program includes four modules based on leading causes of vehicle crashes, and uses classroom and behind the wheel components to improve and reinforce safe driving skills and knowledge. The assessment results of this pilot program conducted with 192 Marines in September 2011 at Camp LeJeune, NC are presented and discussed.
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