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Propagation of Uncertainty in Optimal Design of Multilevel Systems: Piston-Ring/Cylinder-Liner Case Study
University of Michigan.
University of Michigan.
University of Michigan.
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2004 (English)In: 2004 SAE world congress: Detroit, Michigan, March 8 - 11, 2004, Warrendale, Pa: Society of Automotive Engineers, Incorporated , 2004Conference paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
Warrendale, Pa: Society of Automotive Engineers, Incorporated , 2004.
, SAE Technical Paper Series, ISSN 0148-7191
URN: urn:nbn:se:ltu:diva-39790DOI: 10.4271/2004-01-1559Local ID: eaaa7788-ca1b-450f-aa48-220473eb228eOAI: diva2:1013308
SAE World Congress : 08/03/2004 - 11/03/2004
Uppr├Ąttat; 2011; 20110819 (andbra)Available from: 2016-10-03 Created: 2016-10-03

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