Stress-constrained thermo-elastic topology optimization of axisymmetric disks considering temperature-dependent material properties

Wang, Bo; Wang, Guangming; Shi, Yongxin; Huang, Lei; Tian, Kuo

doi:10.1080/15376494.2021.2000080

Cited by 15 publications

(4 citation statements)

References 59 publications

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“…The numerical methodology was applied to a transonic aeronautical compressor rotor blisk designed and tested at the TUD (Technische Universität Darmstadt) during the EU FUTURE project dedicated to aerodynamically induced blade vibrations. The rotor is included within a 1 and ½ axial stage, composed by a variable IGV, a rotor, and a stator row consisting of 15, 21, and 29 blades, respectively [28][29][30]. The meridional cut of the test case is reported in Figure 2 where the rotor blisk is highlighted in red.…”

Section: Test Casementioning

confidence: 99%

Improving Aeromechanical Performance of Compressor Rotor Blisk with Topology Optimization

Bandini,

Cascino,

Meli

et al. 2024

Energies

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When it comes to modern design of turbomachinery, one of the most critical objectives is to achieve higher efficiency and performance by reducing weight, fuel consumption, and noise emissions. This implies the need for reducing the mass and number of the components, by designing thinner, lighter, and more loaded blades. These choices may lead to mechanical issues caused by the fluid–structure interaction, such as flutter and forced response. Due to the periodic aerodynamic loading in rotating components, preventing or predicting resonances is essential to avoid or limit the dangerous vibration of the blades; thus, simulation methods are crucial to study such conditions during the machine design. The purpose of this paper is to assess a numerical approach based on a topology optimization method for the innovative design of a compressor rotor. A fluid-structural optimization process has been applied to a rotor blisk which belongs to a one-and-a-half-stage aeronautical compressor including static and dynamic loads coming from blade rotation and fluid flow interaction. The fluid forcing is computed by some CFD TRAF code, and it is processed via time and space discrete Fourier transform to extract the pressure fluctuation components in a cyclic-symmetry environment. Finally, a topological optimization of the disk is performed, and the encouraging results are presented and discussed. The remarkable mass reduction in the component (≈32%), the mode-shape frequency shift from a fluid forcing frequency, and an overall relevant reduction in the dynamic response around Campbell’s crossing confirm the efficacy of the presented methodology.

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Section: Test Casementioning

confidence: 99%

Improving Aeromechanical Performance of Compressor Rotor Blisk with Topology Optimization

Bandini,

Cascino,

Meli

et al. 2024

Energies

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“…Tang T studied the combustion structure and flame stability in axisymmetric scramjet engines, providing valuable theories [6]. Based on temperature dependent material properties, Wang B performed stress constrained thermoelastic topology optimization on axisymmetric disks [7]. Salenko O used the finite difference method to obtain the damage behavior of multi-layer axisymmetric shells [8].…”

Section: Related Workmentioning

confidence: 99%

Complete Edge Smooth Finite Interpolation Method for Limit Upper Limit Analysis of Axisymmetric Structures

2024

jemm

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Axisymmetric structures have applications in various fields such as engineering and architecture. This type of structure exhibits complex stress distribution and failure modes when subjected to ultimate loads, and the importance of the analysis method for its upper limit in the engineering field is self-evident. Its upper limit analysis is mainly used to evaluate the stability and load-bearing capacity of axisymmetric structures under load. The intention of the fully edge smooth finite interpolation method is to improve the accuracy and efficiency of analysis. It improves the interpolation function to maintain smoothness at the boundary, and uses adaptive mesh partitioning and local refinement to make the analysis more accurate and efficient. Therefore, the purpose of this article's in-depth study on the perfect edge smooth finite interpolation method is to introduce smooth functions and finite interpolation techniques, accurately simulate structures, avoid risks, and reduce losses. This article mainly applies numerical simulation and experimental comparison to compare the axisymmetric structures of thick walled cylinders, frustums, and spheres. The ultimate load of each structure is obtained by changing the distortion coefficient and radius ratio. The experimental results show that in cylindrical testing, the performance difference between the two methods is greatest when the radius ratio is 3.5. The error between the perfectly smooth finite interpolation method and the analytical value is smaller, while the direct iteration method has a larger error.

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“…Deng and Suresh 9 presented a computationally efficient level‐set approach based on topological sensitivity to address large‐scale stress‐related problems in thermoelastic contexts. Wang et al 10 achieved stress‐constrained thermoelastic topology optimization design of axisymmetric disks by incorporating strain energy constraints to avoid sudden volume changes. Meng et al 11 tackled a sophisticated optimization problem involving temperature and stress constraints within the thermo‐mechanical coupling field, utilizing the rational approximation of material properties.…”

Section: Introductionmentioning

confidence: 99%

Uncertainty‐oriented thermoelastic topology optimization with stress constraint

Cheng,

Yang,

Wang

et al. 2024

Numerical Meth Engineering

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The material redistribution abilities of traditional deterministic topology optimization are effective in addressing stress‐related design issues in thermal elastic structures. However, uncertainties are inevitable in real‐world. The structural strength of a design, achieved through deterministic topology optimization, is highly susceptible to these uncertainties, which may result in failure. This article introduces a novel method for topology optimization in stress‐constrained thermoelastic structures, taking into account the uncertainties associated with heat sources and loads. We employ the Kieisselmeier–Steinhauser function to aggregate the stress constraint when constructing the performance function. In order to improve optimization efficiency, the sequential optimization and reliability assessment method is used to decouple the double‐layer loop reliability‐based topology optimization. Initially, we derive the derivative of stress‐based performance functions with respect to heat source and load uncertainty variables, thereby facilitating the use of modified chaos control for assessing structural reliability and imposing constraints. The adjoint method and chain rule are utilized to obtain the derivative information of the performance function with respect to density variables, guiding the topology updates. We present five design examples to demonstrate the effectiveness of the presented method. Monte Carlo simulations for the optimized results are performed to show that the presented method can obtain a structure that meets reliability requirements.

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Stress-constrained thermo-elastic topology optimization of axisymmetric disks considering temperature-dependent material properties

Cited by 15 publications

References 59 publications

Improving Aeromechanical Performance of Compressor Rotor Blisk with Topology Optimization

Improving Aeromechanical Performance of Compressor Rotor Blisk with Topology Optimization

Complete Edge Smooth Finite Interpolation Method for Limit Upper Limit Analysis of Axisymmetric Structures

Uncertainty‐oriented thermoelastic topology optimization with stress constraint

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