Mark E. Gleason
Chrysler Group LLC
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Mark E. Gleason.
International Journal of Vehicle Design | 2000
James Y. Jan; Kumar Srinivasan; Richard Sun; Mark E. Gleason
Computational Fluid Dynamics (CFD) has witnessed significant advances in the last half decade making it applicable to a wide range of problems in the automotive industry. The advent of unstructured grid technology, improved physical modelling capabilities such as phase change, radiation etc., have contributed to the increased use of CFD in automotive applications. In spite of the use of unstructured grids, the area of under-hood airflow and thermal simulation still requires significant amounts of time for grid generation. The paper describes a new approach which uses a Cartesian based grid system that allows for generating completed under-hood meshes within 2-3 days. In addition, discussion about using a local (body fitted grid) model to address thermal issues is presented. This represents an optimal combination of tools to obtain useful information for making engineering design decisions.
Journal of Wind Engineering and Industrial Aerodynamics | 1994
Chee Chok; Siva Parameswaran; Richard Sun; Mark E. Gleason
Abstract A computational model has been developed to help the automotive design engineer to optimize the body shape with minimum wind tunnel testing. Unsteady, Reynolds-averaged, Navier-Stokes equations have been solved numerically by a finite-volume method and have been applied to study the flow around Ahmeds vehicle-like body. The standard k—e model has been employed to model the turbulence in the flow. The finite volume equations have been formulated in a strong conservative form on a three-dimensional, unstructured grid system. The resulting equations have been solved then by an implicit, time marching pressure-correction based algorithm. The steady state solution has been obtained by taking sufficient time steps until the flow field ceases to change with time within a prescribed tolerance. For the pressure-correction equation, a preconditioned conjugate gradient method has been employed to obtain the solution. Most of the essential features of the flow field around a bluff body in ground proximity, such as the formation of trailing vortices and the reverse flow region resulting from separation, could be well predicted. In addition, the variation of the drag coefficient with the back slant angle agreed reasonably well with the experimentally observed values.
Journal of Wind Engineering and Industrial Aerodynamics | 1993
Siva Parameswaran; Ilker Kiris; Richard Sun; Mark E. Gleason
Abstract A computational model is developed to help the automotive design engineer to optimize the body shape with minimum wind tunnel testing. Unsteady, Reynolds-averaged, Navier-Stokes equations are solved numerically by a finite-volume method and applied to study the flow around GMs vehicle-like body. The standard k-ϵ model is employed to model the turbulence in the flow. The finite volume equations are formulated in a strong conservative form on a three-dimensional, unstructured grid system. The resulting equations are then solved by an implicit, time marching, pressure-correction based algorithm. The steady state solution is obtained by taking sufficient time steps until the flow field ceases to change with time within a prescribed tolerance. For the pressure-correction equation, preconditioned conjugate gradient method is employed to obtain the solution. Most of the essential features of the flow field around a bluff body in ground proximity, such as the formation of trailing vortices and the reverse flow region resulting from separation, were well predicted. In addition, the variation of drag coefficient with Reynolds number per meter faithfully follows the experimentally observed pattern.
Journal of Wind Engineering and Industrial Aerodynamics | 1997
Siva Parameswaran; Ramesh Andra; Richard Sun; Mark E. Gleason
Abstract A computational model is developed to help the automotive design engineer to optimize the body shape with minimum wind tunnel testing. Unsteady, Reynolds-averaged, Navier-Stokes equations are solved numerically by a finite-volume method and applied to study the flow around a 3 8 th scale model of 1994 Intrepid. The standard k − e model is employed to model the turbulence in the flow. The finite volume equations are formulated in a strong conservative form on a three-dimensional, unstructured grid system. The resulting equations are then solved by an implicit, time marching, pressure-correction based algorithm. The steady state solution is obtained by taking sufficient time steps until the flow field ceases to change with time within a prescribed tolerance. For the pressure-correction equation, preconditioned conjugate gradient method is employed to obtain the solution. Numerical predictions were obtained with two different boundary conditions at the far field: (a) no flow across this boundary (b) the gradient of any variable normal to this boundary was set to zero. Drag predictions obtained with boundary condition (b) was in good agreement with the available experimental data.
aiaa ceas aeroacoustics conference | 2006
Bernd Crouse; Sivapalan Senthooran; David Freed; Ganapathi Balasubramanian; Mark E. Gleason; Mitchell Puskarz; Phoi-Tack Lew; Luc Mongeau
SAE 2010 World Congress & Exhibition | 2010
Bradley Duncan; Satheesh Kandasamy; Khaled Sbeih; Todd H. Lounsberry; Mark E. Gleason
SAE International Journal of Passenger Cars - Electronic and Electrical Systems | 2009
Todd H. Lounsberry; Mark E. Gleason; Satheesh Kandasamy; Khaled Sbeih; Richa Mann; Bradley Duncan
SAE International Journal of Passenger Cars - Electronic and Electrical Systems | 2009
Paul E. Slaboch; Scott C. Morris; Ruolong Ma; Daniel W. Shannon; Mark E. Gleason; Mitchell Puskarz
Archive | 1997
Del C. Schroeder; John G. Argeropoulos; Mark E. Gleason; Mike Zabat; Rolls F. Forster; William W. Doolittle
SAE World Congress & Exhibition | 2008
Nina Tortosa; Frank Meinert; Franz K. Schenkel; Todd H. Lounsberry; Mark E. Gleason; Wayne Koester; Joel Walter