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In the present work computational fluid dynamics (CFD) simulations of the flow field around a generic tractor-trailer truck are presented and compared with corresponding experimental measurements. A generic truck model was considered which is a detailed 1/8th scale replica of a Class-8 tractor-trailer truck. It contained a number of details such as bumpers, underbody, tractor chassis, wheels, and axles. CFD simulations were conducted with wind incident on the vehicle at 0 and 6 degree yaw. Two different meshing strategies (tet-dominant and hex-dominant) and three different turbulence models (Realizable k-ε, RNG k-ε, and DES) are considered. In the first meshing strategy an unstructured tetrahedral mesh was created over a large region surrounding the vehicle and in its wake. In the second strategy the mesh was predominantly hexahedral except for a few narrow regions around the front end and the underbody which were meshed with tetrahedral cells owing to complex topology.

The purpose of this paper is to describe a methodology that significantly enhances the process of truck underhood thermal management by utilizing state-of-the-art computer simulation of airflow and heat transfer. The traditional approach has been to package underhood components in the vehicle design phase based on past experience, build a prototype, test it, analyze the test results and determine any necessary design changes. The design changes are implemented and the cycle is repeated until an acceptable design is achieved. The alternative methodology, described in this paper, uses a complete 3-D CAD model of all pertinent underhood components of a heavy-duty truck with a general purpose Computational Fluid Dynamics (CFD) code to simulate underhood airflow. The heat exchangers were modeled using an approach that divides the heat exchanger core into cell zones and computes heat rejection cumulatively from zone to zone.

The purpose of this paper is to describe a methodology that significantly streamlines the process of truck underhood thermal management by utilizing state-of-the-art computer simulation of airflow and heat transfer. The traditional approach has been to package underhood components in the vehicle design phase based on past experience, build a prototype, test it, analyze the test results and determine any necessary design changes. The design changes are implemented and the cycle is repeated until an acceptable design is achieved. The alternative methodology, described in this paper, uses a complete 3-D CAD model of all pertinent underhood components of a heavy-duty truck with a general purpose Computational Fluid Dynamics (CFD) code to simulate underhood airflow. The heat exchangers - condenser, charge air cooler, oil cooler and radiator - were modeled using a 2-D approach that divides the heat exchanger core into cell zones and computes heat rejection cumulatively from zone to zone.

Using a previously validated and documented CFD methodology, this research simulated the flow field in the intake region (inlet duct, plenum, ports, valves, and cylinder) involving the four cylinders (#1, #3, #4, #6) of a straight-six IC engine. Each cylinder was studied with its intake valves set at high, medium and low valve lifts. All twelve viscous 3-D turbulent flow simulation models had high density, high quality computational grids and complete domains. Extremely fine grid density were applied for every simulation up to 1,000,000 finite volume cells. Results for all the cases presented here were declared “fully converged” and “grid independent”. The relative magnitude of total pressure losses in the entire intake region and loss mechanisms were documented here. It was found that the total pressure losses were caused by a number of flow mechanisms.

Very large scale, 3D, viscous, turbulent flow simulations, involving 840,000 finite volume cells and the complete form of the time-averaged Navier-Stokes equations, were conducted to study the mechanisms responsible for total pressure losses in the entire intake system (inlet duct, plenum, ports, valves, and cylinder) of a straight-six diesel engine. A unique feature of this paper is the inclusion of physical mechanisms responsible for cylinder-to-cylinder variation of flows between different cylinders, namely, the end-cylinder (#1) and the middle cylinder (#3) that is in-line with the inlet duct. Present results are compared with cylinder #2 simulations documented in a recent paper by the Clemson group, Taylor, et al. (1997). A validated comprehensive computational methodology was used to generate grid independent and fully convergent results.

Computational fluid dynamics methods are applied to the intake regions of a diesel engine in the design stage at Caterpillar. Using a complete, tested and validated computational methodology, fully viscous 3-D turbulent flow simulations are performed for three valve lifts, with the goal of identifying and understanding the physics underlying loss in the intake regions of IC engines. The results of these simulations lead to several design improvements in the intake region. These improvements are made to the computational domain, and flow simulations are again performed at three different valve lifts. Improvements in overall total pressure loss of between 5% and 33% are found in the computed results between the original and modified (improved) domains. Physical mechanisms responsible for these improvements are documented in detail.

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.