Abstract
Compared with the conventional single web disk, the twin-web disk has been designed as the future trend of the high-pressure turbine disk by the US Integrated High Performance Turbine Engine Technology program due to its breakthrough in weight loss, strength, and heat transfer efficiency. However, as a crucial component, the high-pressure turbine disk of aerocraft needs a high reliability and a steady quality at the same time. The traditional deterministic multidisciplinary design of optimization method sometimes could not be able to satisfy both the two requirements and depends heavily on the selection strategy of safety factor. In this article, reliability-based multidisciplinary design optimization has been performed to find a proper shape of twin-web disk with the minimum weight. The structural strength reliability analysis is performed using Monte Carlo simulation and set as the constraints in order to ensure the stability and safety. Kriging approximation is performed to reduce the computational cost. Then, the optimal points obtained by reliability-based multidisciplinary design optimization and common multidisciplinary design optimization are compared. The results show that the reliability-based multidisciplinary design optimization can obtain a better performance and less weight, which could be a reference in designing the twin-web disk for industry.
Highlights
The twin-web high-pressure turbine disk (TWD) has advantages in internal cooling and weight loss.[1]
The reliability-based multidisciplinary design optimization (RBMDO) procedure proposed in this article can be an inspiration and reference for researchers and designers in designing of the TWD disk
The sensitivities of both design variables and random variables are analyzed by design of experiment (DOE)
Summary
The twin-web high-pressure turbine disk (TWD) has advantages in internal cooling and weight loss.[1]. Advances in Mechanical Engineering physical uncertainty are unreliable and could lead to systematic failure At this point, the reliability-based multidisciplinary design optimization (RBMDO) has been performed for the evaluations of performance probabilities and the formulations of the probabilistic constraints. Through a further study of the geometry characteristic of the TWD, a new parameterization approach is proposed in this article and could reduce the error rate of modeling to 0% and amplify the design space by at least 50% compared to our previous work.[21] we obtained an even better optimal result. A developed parameterization with a series of methods used in RBMDO, including DOE analysis, Kriging approximation, and MCS for reliability analysis, are developed to search the optimal shape of TWD with objective of minimum weight under the probabilistic constraints. The RBMDO procedure proposed in this article can be an inspiration and reference for researchers and designers in designing of the TWD disk
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