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Design of graded lattice structures in turbine blades using topology optimization
International Journal of Computer Integrated Manufacturing ( IF 4.1 ) Pub Date : 2021-02-14 , DOI: 10.1080/0951192x.2021.1872106
Ebrahim Ahmed Ali Alkebsi 1 , Hacene Ameddah 2 , Toufik Outtas 1 , Abdallah Almutawakel 3
Affiliation  

ABSTRACT

Designing and manufacturing lattice structures with Topology Optimization (TO) and Additive Manufacturing (AM) techniques is a novel method to create light-weight components with promising potential and high design flexibility. This paper proposes a new design of lightweight-graded lattice structures to replace the internal solid volume of the turbine blade to increase its endurance of high thermal stresses effects. The microstructure design of unit cells in a 3D framework is conducted by using the lattice structure topology optimization (LSTO) technique. The role of the LSTO is to find an optimal density distribution of lattice structures in the design space under specific stress constraints and fill the inner solid part of the blade with graded lattice structures. The derived implicit surfaces modelling is used from a triply periodic minimal surfaces (TPMS) to optimize the mechanical performances of lattice structures. Numerical results show the validity of the proposed method. The effectiveness and robustness of the constructed models are analysed by using finite element analysis. The simulation results show that the graded lattice structures in the improved designs have better efficiency in terms of lightweight (33.41–40.32%), stress (25.52–48.55%) and deformation (7.35–19.58%) compared to the initial design.



中文翻译:

基于拓扑优化的涡轮叶片梯度晶格结构设计

摘要

使用拓扑优化(TO)和增材制造(AM)技术设计和制造晶格结构是一种新颖的方法,可以创建具有潜在潜力和高设计灵活性的轻质组件。本文提出了一种轻型渐变网格结构的新设计,以取代涡轮机叶片的内部固体体积,以增加其对高热应力影响的承受能力。通过使用晶格结构拓扑优化(LSTO)技术进行3D框架中晶胞的微结构设计。LSTO的作用是在特定应力约束下在设计空间中找到最佳的晶格结构密度分布,并用渐变晶格结构填充叶片的内部实心部分。从三重周期性最小曲面(TPMS)中使用派生的隐式曲面建模来优化晶格结构的机械性能。数值结果表明了该方法的有效性。通过有限元分析来分析所构建模型的有效性和鲁棒性。仿真结果表明,与初始设计相比,改进设计中的渐变晶格结构在轻量级(33.41–40.32%),应力(25.52–48.55%)和变形(7.35–19.58%)方面具有更高的效率。

更新日期:2021-04-05
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