Identification of thermomechanical parameters based on the virtual fields method combined with the sampling moiré method

IF 1.8 3区 材料科学 Q2 MATERIALS SCIENCE, CHARACTERIZATION & TESTING Strain Pub Date : 2022-10-28 DOI:10.1111/str.12429
Yangyang Li, H. Xie
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引用次数: 1

Abstract

Thermomechanical parameters are important indicators for evaluating the mechanical properties of superalloys and generally include the coefficients of stiffness and thermal expansion at high temperatures. At present, there are few methods for simultaneously characterising the thermomechanical parameters of superalloys, especially single‐crystal superalloys. To satisfy the demand for simultaneously identifying the thermomechanical parameters of orthotropic superalloys, an optimised virtual fields method for decoupling the thermomechanical parameters was developed in this study by combining the self‐developed heat‐resistant grids and the sampling moiré method. First, several factors, including the oblique angle of the grids, image noise and thermomechanical coupling phenomena, were studied through numerical experiments to analyse their influences on the identification accuracy. Then, an optimised identification strategy was established. Finally, the thermomechanical parameters of Ni‐based polycrystalline and single‐crystal superalloys were successfully identified and comparatively studied. The identification results demonstrate that the proposed method is highly accurate and robust. This research will provide an effective way to accurately characterise the multiple parameters of superalloys at high temperatures.
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基于虚拟场法和采样法的热力学参数辨识
热力学参数是评价高温合金力学性能的重要指标,一般包括高温下的刚度系数和热膨胀系数。目前,能够同时表征高温合金,特别是单晶高温合金的热力学参数的方法很少。为了满足正交各向异性高温合金热力学参数同时辨识的需求,本文将自行开发的耐热网格与采样法相结合,提出了一种优化的虚拟场解耦方法。首先,通过数值实验研究了栅格倾斜角度、图像噪声和热力耦合现象等因素对识别精度的影响。然后,建立了优化的识别策略。最后,对Ni基多晶和单晶高温合金的热力学参数进行了鉴定和比较研究。结果表明,该方法具有较高的辨识精度和鲁棒性。该研究将为高温合金多参数的准确表征提供有效途径。
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来源期刊
Strain
Strain 工程技术-材料科学:表征与测试
CiteScore
4.10
自引率
4.80%
发文量
27
期刊介绍: Strain is an international journal that contains contributions from leading-edge research on the measurement of the mechanical behaviour of structures and systems. Strain only accepts contributions with sufficient novelty in the design, implementation, and/or validation of experimental methodologies to characterize materials, structures, and systems; i.e. contributions that are limited to the application of established methodologies are outside of the scope of the journal. The journal includes papers from all engineering disciplines that deal with material behaviour and degradation under load, structural design and measurement techniques. Although the thrust of the journal is experimental, numerical simulations and validation are included in the coverage. Strain welcomes papers that deal with novel work in the following areas: experimental techniques non-destructive evaluation techniques numerical analysis, simulation and validation residual stress measurement techniques design of composite structures and components impact behaviour of materials and structures signal and image processing transducer and sensor design structural health monitoring biomechanics extreme environment micro- and nano-scale testing method.
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