Dynamic Topology Optimization of Long‐Span Continuum Structures

Wang, Yingjia; Qin, Dongchen; Wang, Ranran; Zhao, Han

doi:10.1155/2021/4421298

Cited by 5 publications

(5 citation statements)

References 22 publications

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“…Until today, SIMP has maintained its status and continues to develop. Recent advances include SIMP combined with phase-field method [37], multi-material TO [38][39][40][41][42][43][44][45], anisotropic material behaviour [46,47], dynamic performance and fatigue TO [48][49][50][51][52], large elastic deformation TO [53], additive manufacturing (AM) constrained TO [54][55][56][57][58][59], subtractive manufacture (SM) constrained TO [60], and casting constrained TO [61]. Some approaches lead to self-weight TO [62], nonlinear load cases [63,64], stress constrained TO [65], surface corrosion TO [66], buckling considerations [67,68], non-linear heat conduction [69], thermal dissipation [70].…”

Section: Solid Isotropic Materials With Penalty Methodsmentioning

confidence: 99%

On Topology Optimisation Methods and Additive Manufacture for Satellite Structures: A Review

Hurtado-Pérez,

Pablo-Sotelo,

Ramírez-López

et al. 2023

Aerospace

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Launching satellites into the Earth’s orbit is a critical area of research, and very demanding satellite services increase exponentially as modern society takes shape. At the same time, the costs of developing and launching satellite missions with shorter development times increase the requirements of novel approaches in the several engineering areas required to build, test, launch, and operate satellites in the Earth’s orbit, as well as in orbits around other celestial bodies. One area with the potential to save launching costs is that of the structural integrity of satellites, particularly in the launching phase where the largest vibrations due to the rocket motion and subsequent stresses could impact the survival ability of the satellite. To address this problem, two important areas of engineering join together to provide novel, complete, and competitive solutions: topology optimisation methods and additive manufacturing. On one side, topology optimisation methods are mathematical methods that allow iteratively optimising structures (usually by decreasing mass) while improving some structural properties depending on the application (load capacity, for instance), through the maximisation or minimisation of a uni- or multi-objective function and multiple types of algorithms. This area has been widely active in general for the last 30 years and has two main core types of algorithms: continuum methods that modify continuous parameters such as density, and discrete methods that work by adding and deleting material elements in a meshing context. On the other side, additive manufacturing techniques are more recent manufacturing processes aimed at revolutionising manufacturing and supply chains. The main exponents of additive manufacturing are Selective Laser Melting (SLM) (3D printing) as well as Electron Beam Melting (EBM). Recent trends show that topology-optimised structures built with novel materials through additive manufacturing processes may provide cheaper state-of-the-art structures that are fully optimised to better perform in the outer-space environment, particularly as part of the structure subsystem of novel satellite systems. This work aims to present an extended review of the main methods of structural topology optimisation as well as additive manufacture in the aerospace field, with a particular focus on satellite structures, which may set the arena for the development of future satellite structures in the next five to ten years.

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Section: Solid Isotropic Materials With Penalty Methodsmentioning

confidence: 99%

On Topology Optimisation Methods and Additive Manufacture for Satellite Structures: A Review

Hurtado-Pérez,

Pablo-Sotelo,

Ramírez-López

et al. 2023

Aerospace

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“…Firstly, a static analysis was performed on the initial model of the rack synchronizer. Topology optimization was performed on it using the variable density method, and the material removal area and non-material removal area were divided (Figure 20a,b) [33,34].…”

Section: Optimization Design Of the Rack Synchronizermentioning

confidence: 99%

The Design, Analysis, and Optimization of a New Pitch Mechanism for Small Wind Turbines

Wang,

Bao,

Zhao

et al. 2023

Energies

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This article proposes and designs a novel variable pitch adjustment device for small wind turbines. The generator spindle is designed to be hollow so that the drive rod passes through it and connects the pitch drive mechanism to the pitch actuator. The article introduces the basic structure and working principle of the pitch mechanism and verifies the feasibility of the pitch device by using 3D printing technology to produce a small-scale model. The stress analysis of the wind turbine was carried out using the unidirectional fluid–structure coupling method. The results show that the maximum equivalent stress of the pitch mechanism is 27.42 MPa, the maximum tooth surface contact stress of the gear is 38.40 MPa, and the maximum tooth root bending stress is 18.13 MPa. The rack synchronous disk, blade handle, and gear rack mechanism were designed with light weight using various optimization schemes. The results of the optimization showed that the overall mass of the pitch mechanism was reduced by 33.2%, improving the applicability of the new pitch mechanism.

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“…Leader, et al [18] considered both stress and frequency constraints and utilized the Jacobi-Davidson eigenvalue solving method to solve the natural frequency problem. Wang et al [19] established a dynamic topology optimization model for long-span continuum, effectively improving the firstorder frequency. Xu et al [20] proposed a frequency optimization problem with casting constraints, which can effectively obtain convergent solutions when dealing with frequency maximization problems.…”

Section: Introductionmentioning

confidence: 99%

An Eigenfrequency-Constrained Topology Optimization Method with Design Variable Reduction

Liu,

Wu,

Chen

2024

sv-jme

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The dynamic response of structures heavily relies on eigenfrequency, so the optimization of eigenfrequency is valuable in various working conditions. The bi-directional evolutionary structural optimization (BESO) method has been widely applied due to its ability to eliminate grayscale elements. Based upon BESO, this paper introduces a topology optimization method that incorporates eigenfrequency constraints and reduces the number of design variables. In this method, the optimization objective was to minimize compliance. The Lagrange multiplier was used to introduce eigenfrequency constraints, allowing for coordinated control of compliance and eigenfrequency. To prevent oscillation during the optimization process, the sensitivity was normalized. Additionally, to achieve faster convergence, the variables were reduced after meeting volume constraints. The numerical examples demonstrate the effectiveness of this method in increasing the eigenfrequency of the structure and avoiding resonance.

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Dynamic Topology Optimization of Long‐Span Continuum Structures

Cited by 5 publications

References 22 publications

On Topology Optimisation Methods and Additive Manufacture for Satellite Structures: A Review

On Topology Optimisation Methods and Additive Manufacture for Satellite Structures: A Review

The Design, Analysis, and Optimization of a New Pitch Mechanism for Small Wind Turbines

An Eigenfrequency-Constrained Topology Optimization Method with Design Variable Reduction

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