Propagation of Uncertainty in Optimal Design of Multilevel Systems: Piston-Ring/Cylinder-Liner Case Study | Zendy

KueiYuan Chan | Zendy; Michael Kokkolaras | Zendy; Panos Y. Papalambros | Zendy; Steven J. Skerlos | Zendy; Zissimos Mourelatoes | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Propagation of Uncertainty in Optimal Design of Multilevel Systems: Piston-Ring/Cylinder-Liner Case Study

Author(s) -

KueiYuan Chan,

Michael Kokkolaras,

Panos Y. Papalambros,

Steven J. Skerlos,

Zissimos Mourelatoes

Publication year - 2004

Publication title -

sae technical papers on cd-rom/sae technical paper series

Language(s) - English

Resource type - Conference proceedings

SCImago Journal Rank - 0.295

H-Index - 107

eISSN - 1083-4958

pISSN - 0148-7191

DOI - 10.4271/2004-01-1559

Subject(s) - cylinder , linearization , monte carlo method , reliability (semiconductor) , piston (optics) , probabilistic logic , piston ring , computer science , point (geometry) , brake , mathematical optimization , control theory (sociology) , engineering , automotive engineering , ring (chemistry) , mathematics , mechanical engineering , control (management) , nonlinear system , physics , chemistry , optics , organic chemistry , wavefront , artificial intelligence , power (physics) , statistics , geometry , quantum mechanics

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.Upprättat; 2011; 20110819 (andbra

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research