Propagation of Uncertainty in Optimal Design of Multilevel Systems: Piston-Ring/Cylinder-Liner Case Study 2004-01-1559
This paper proposes an approach for optimal design of multilevel systems under uncertainty. The approach utilizes the stochastic extension of the analytical target cascading formulation. The reliability of satisfying the probabilistic constraints is computed by means of the most probable point method using the hybrid mean value algorithm. A linearization technique is employed for estimating the propagation of uncertainties throughout the problem hierarchy. The proposed methodology is applied to a piston-ring/cylinder-liner engine subassembly design problem. Specifically, we assess the impact of variations in manufacturing-related properties such as surface roughness on engine attributes such as brake-specific fuel consumption. Results are compared to the ones obtained using Monte Carlo simulation.
Citation: Chan, K., Kokkolaras, M., Papalambros, P., Skerlos, S. et al., "Propagation of Uncertainty in Optimal Design of Multilevel Systems: Piston-Ring/Cylinder-Liner Case Study," SAE Technical Paper 2004-01-1559, 2004, https://doi.org/10.4271/2004-01-1559. Download Citation
Kuei-Yuan Chan, Michael Kokkolaras, Panos Papalambros, Steven J. Skerlos, Zissimos Mourelatoes
University of Michigan, Oakland University
SAE 2004 World Congress & Exhibition
Reliability and Robust Design in Automotive Engineering-SP-1844, SAE 2004 Transactions Journal of Materials and Manufacturing-V113-5