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粗晶镍基高温合金缺口处的应变局部化：模拟与实验

Strain Localizations in Notches for a Coarse-Grained Ni-Based Superalloy: Simulations and Experiments.

作者信息

Sausto Francesco, Patriarca Luca, Foletti Stefano, Beretta Stefano, Vacchieri Erica

机构信息

Department of Mechanical Engineering, School of Industrial and Information Engineering, Politecnico di Milano, Via La Masa 1, 20156 Milano, Italy.

Ansaldo Energia, SPA, Via N. Lorenzi 8, 16152 Genova, Italy.

出版信息

Materials (Basel). 2021 Jan 25;14(3):564. doi: 10.3390/ma14030564.

DOI:10.3390/ma14030564
PMID:33504069
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7865819/
Abstract

Alloys used for turbine blades have to safely sustain severe thermomechanical loadings during service such as, for example, centrifugal loadings, creep and high temperature gradients. For these applications, cast Ni-based superalloys characterized by a coarse-grained microstructure are widely adopted. This microstructure dictates a strong anisotropic mechanical behaviour and, concurrently, a large scatter in the fatigue properties is observed. In this work, Crystal Plasticity Finite Element (CPFE) simulations and strain measurements performed by means of Digital Image Correlations (DIC) were adopted to study the variability introduced by the coarse-grained microstructure. In particular, the CPFE simulations were calibrated and used to simulate the effect of the grain cluster orientations in proximity to notches, which reproduce the cooling air ducts of the turbine blades. The numerical simulations were experimentally validated by the DIC measurements. This study aims to predict the statistical variability of the strain concentration factors and support component design.

摘要

用于涡轮叶片的合金在服役期间必须安全承受严重的热机械载荷，例如离心载荷、蠕变和高温梯度。对于这些应用，具有粗晶微观结构的铸造镍基高温合金被广泛采用。这种微观结构决定了强烈的各向异性力学行为，同时，疲劳性能也存在很大的分散性。在这项工作中，采用晶体塑性有限元（CPFE）模拟和通过数字图像相关（DIC）进行的应变测量来研究粗晶微观结构引入的变异性。具体而言，对CPFE模拟进行了校准，并用于模拟靠近缺口处的晶粒簇取向的影响，这些缺口再现了涡轮叶片的冷却风道。数值模拟通过DIC测量进行了实验验证。本研究旨在预测应变集中系数的统计变异性并支持部件设计。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4787/7865819/98678f41e83c/materials-14-00564-g012.jpg
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本文引用的文献

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Toward Predictive Understanding of Fatigue Crack Nucleation in Ni-Based Superalloys.迈向对镍基高温合金疲劳裂纹萌生的预测性理解
JOM (1989). 2017;69(5):863-871. doi: 10.1007/s11837-017-2307-9. Epub 2017 Mar 24.