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The CARES code was used to predict the probability of failure for the rotor under various operating conditions. As processed material has a different strength and Weibull distribution that longitudinally or transversely ground material. Additionally the strength and Weibull modulus is a function of temperature. In order to more accurately predict the probability of failure, the FEA model was partitioned into three sets to treat each characteristic surface condition separately. Figure 2.1.23 shows the partitioning of the model into sections representing the blade and rim (as processed properties), the disk surface (transverse ground properties), and the interior of the disk (bulk and longitudinally ground properties). e (Longitudinally Ground) B B o or r e a an nd d D Di i s s k kV Vo ol l u um me e Blade (As processed) Disk Surface (Transverse Ground) Figure 2.1.23 Partitioning of IBR FEA into representative data sets for CARES analysis Table 2.1.3 contains a summary of the lifing results. It is apparent from examining the table that the cold spin case had the highest probability of failure. The cold spin conditions would only be encountered during spin burst test. The high probability of failure was due to the large hoop stress in the rim. This stress was greatly reduced as the rotor developed a thermal gradient. The probability of failure of the blade and rim would be reduced to approximately 0.1% if the blade surface was machined. The cost of doing this would be significant. In all cases the probability of failure was determined by the blade and rim. Further design modifications to decrease the failure probability were not completed prior to the conclusion of the design activity due to the redirection of the program. 39PDF Image | ADVANCED MICROTURBINE SYSTEMS Final Report for Tasks 1 Through 4 and Task 6
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