The first proposal for an engine component usually is based on the supplier technical expertise, previous cases and/or selection manuals. Occasionally, this first proposal is also validated by numerical simulation; however, the main purpose is to satisfy a desirable target, not to assure an optimized nor robust proposal.
The objective of the developed work is to present a proposed sequence for selection of one or as many as possible optimized and feasible proposals as well as the expected robustness in terms of performance for each proposal. This selection sequence is based massively on numerical simulation and on the advantageous expertise about the product.
The example presented in this work is a ring dynamics simulation using an optimization method to select solutions that simultaneously reduce the blow-by and lube oil consumption (LOC). It is also presented the robustness calculation of the selected proposals. The available engine performance data was used to calibrate the numerical simulation model.
A less impact and a multiple components changes solutions were proposed. The calculated blow-by reductions were 5% and 28% respectively. The tendency of LOC were consistently decreased for the first solution and highly decreased for the second solution.
This study shows that it is possible to improve the first proposal through optimization / simulation and hence reduce the engine development time and cost by reducing the number of bench tests.