A unified fatigue reliability-based design optimization framework for aircraft turbine disk

Author(s):  
Lu-Kai Song ◽  
Guang-Chen Bai ◽  
Xue-Qin Li ◽  
Jie Wen
AIAA Journal ◽  
2014 ◽  
Vol 52 (4) ◽  
pp. 711-724 ◽  
Author(s):  
Ricardo M. Paiva ◽  
Curran Crawford ◽  
Afzal Suleman

Author(s):  
Soner Camuz ◽  
Magnus Bengtsson ◽  
Rikard Söderberg ◽  
Kristina Wärmefjord

In recent years, cutting tool manufacturers are moving toward improving the robustness of the positioning of an insert in the tool body interface. Increasing the robustness of the interface involves designs with both chamfered and serrated surfaces. These designs have a tendency to overdetermine the positioning and cause instabilities in the interface. Cutting forces generated from the machining process will also plastically deform the interface, consequently, altering the positioning of the insert. Current methodologies within positioning and variation simulation use point-based contacts and assume linear material behavior. In this paper, a first-order reliability-based design optimization framework that allows robust positioning of surface-to-surface-based contacts is presented. Results show that the contact variation over the interface can be limited to predefined contact zones, consequently allowing successful positioning of inserts in early design phases of cutting tool designs.


2012 ◽  
Vol 56 (02) ◽  
pp. 120-128
Author(s):  
Hezhen Yang ◽  
Aijun Wang

A methodology for fatigue reliability based design optimization is proposed for the design of bending stiffener. Bending stiffener is employed to protect the upper connection of umbilical/flexible riser against damage from overbending. It is prone to cause fatigue failure due to the wave induced vessel motions. Therefore, its fatigue character has a great impact on the safety of oil and gas production and we should pay more attention to it. In addition, the fatigue analysis involves material, geometric, and loading uncertainties, hence the reliability analysis is performed for considering the influence of uncertain factors. In this work, the fatigue reliability based optimization involves the fatigue analysis and complex optimization algorithms the metamodel is used to reduce the computational cost. Threemetamodels are constructed by the optimum Latin hypercube method. Then, the optimum metamodel is selected for the optimization through the accuracy evaluation. The feasibility of the methodology is verified by a test case of beam. Finally, it is applied to the fatigue reliability based design optimization of bending stiffener. The results demonstrate that this methodology is rational and improves the fatigue reliability of bending stiffener. First, compared with deterministic optimization.


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