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COBEM 2023

27th International Congress of Mechanical Engineering

Structural Optimization for Resonance-Free Turbomachinery Blisks

Submission Author: Diego Zilli Lima , SP
Co-Authors: Diego Zilli Lima, Daniel Dezan, Wallace Ferreira, Elóy Esteves Gasparin, Vitor Cesar Nogueira Mattos, Leandro Salviano, Jurandir Itizo Yanagihara
Presenter: Diego Zilli Lima

doi://10.26678/ABCM.COBEM2023.COB2023-0057

 

Abstract

The majority of turbomachinery failures are caused by fatigue, which is extremely sensitive to vibrations induced by operations in resonance regions. Because the efficiency of turbomachinery is intimately linked to its fluid and thermodynamic characteristics, most of the studies available in the literature focus on aerodynamic design only. Despite the benefits of structural design, such as lower mass, power, maintenance, material costs, and longer service life, there are fewer works of this genre available. Given the goal of creating the most efficient machine possible, minimizing the possibility of failures is fundamental; consequently, the work aimed to develop a structural optimization process of integrated bladed disks (blisks) focused on obtaining structures free of resonance or having a lower risk of occurrence. A design technique for identifying possible resonance occurrences was applied to construct a resonance-free structure, in addition to mechanical design criteria for high-speed rotating blisks. Pre-stressed modal analysis was employed as the main method, which considered centrifugal loads, structural stiffening, spin-softening, and gyroscopic effects. The Campbell Diagram and other resonance identification methods were used to create the objective functions used in the optimization. The optimization strategy was a parametric optimization process based on metamodeling, also known as surrogate or response surface modeling. Case studies were used to validate the performance of the methodology. In all of them, the risk of resonance was reduced or even eliminated. Furthermore, structural integrity was improved as stress levels were also reduced.

Keywords

Surrogate model, Optimization, Campbell Diagram, Centrifugal Compressor, Resonance avoidance

 

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