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Communication Dans Un Congrès SAE Technical Paper Année : 2005

Multi-objective robust design optimization of an engine mounting system

Frédéric Mortier
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Résumé

This paper introduces a new method to support designers to find optimal and robust solutions of engine mounting system. The mounting system design is a compromise between isolation of the vehicle from engine vibration and constraining the motion of the powertrain within vehicle packaging. Based on the classical pendulum mounting system of a front wheel drive vehicle with a transversely four-cylinder engine, this study deals with the definition of a new global engine mounting concept for the NVH (Noise Vibration and Harshness) improvement of the vehicle characteristics at idle speed. The practical application of the numerical optimization is complicated by the fact that engine mounting system is a stochastic system. Its characteristics have a probabilistic nature. Multi-Objective Genetic Algorithm (MOGA), i.e. Pareto-optimization, is taken as the appropriate framework for the definition and the solution of the addressed multi-objective robust optimization problem. An experimental correlation analysis has been conducted on a Pareto-optimal solution to show the model accuracy.
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Dates et versions

hal-00913315 , version 1 (06-12-2013)

Identifiants

Citer

Eric Courteille, Frédéric Mortier, Lionel Leotoing, Eric Ragneau. Multi-objective robust design optimization of an engine mounting system. SAE 2005 Noise and Vibration Conference and Exhibition, May 2005, Traverse City, United States. pp.2005-01-2412, ⟨10.4271/2005-01-2412⟩. ⟨hal-00913315⟩
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