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Determination of Vehicle Resistance Curve in Engine Cooling System Design
Technical Paper
2010-01-0933
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
A process to create a vehicle resistance curve based on airflow predictions using Computational Fluid Dynamics (CFD) simulation technique is presented. 1-dimensional engine cooling system simulation tool KULI is used to compute the coefficients of vehicle resistance curve. A full factorial Design of Experiment (DOE) established the relationship between the coefficients and the sum of absolute difference between KULI and CFD predictions. The NLPQL optimization routine is used to accurately predict the coefficients so that sum of absolute difference between KULI and CFD predictions is minimized.
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Citation
Rahman, S., Ninawe, A., and Salomon, R., "Determination of Vehicle Resistance Curve in Engine Cooling System Design," SAE Technical Paper 2010-01-0933, 2010, https://doi.org/10.4271/2010-01-0933.Also In
References
- Methodology to Create Vehicle Resistance Curve Based on KULI and CFD simulation Rahman Sadek Tsang Jimmy Chrysler Group LLC Ninawe Anup ESI NA 2008 KULI User Meeting USA
- Schittkowski K. 1983 On the convergence of a sequential quadratic programming method with an augmented Lagrangian line search function Optimization 14 197 216
- Schittkowski K. 1985/86 NLPQL: A FORTRAN subroutine solving constrained nonlinear programming problems Annals of Operations Research 5 485 500
- iSIGHT Reference Guide - Version 10
- Scott, T.C. Joshi, D.S. “Engine Cooling Module Sizing Using Combined 1-Dimensional and CFD Modeling Tools,” SAE Int. J. Passeng. Cars - Mech. Syst. 2 1 1079 1098 2009