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变形诱导的铝镁合金表面粗糙度:实验表征与晶体塑性建模

Deformation-Induced Surface Roughening of an Aluminum-Magnesium Alloy: Experimental Characterization and Crystal Plasticity Modeling.

作者信息

Korkolis Yannis P, Knysh Paul, Sasaki Kanta, Furushima Tsuyoshi, Knezevic Marko

机构信息

Department of Integrated Systems Engineering, The Ohio State University, 234 Baker Systems, 1971 Neil Avenue, Columbus, OH 43210, USA.

Department of Mechanical Engineering, University of New Hampshire, 33 Academic Way, Durham, NH 03824, USA.

出版信息

Materials (Basel). 2023 Aug 12;16(16):5601. doi: 10.3390/ma16165601.

Abstract

The deformation-induced surface roughening of an Al-Mg alloy is analyzed using a combination of experiments and modeling. A mesoscale oligocrystal of AA5052-O, obtained by recrystallization annealing and subsequent thickness reduction by machining, that contains approx. 40 grains is subjected to uniaxial tension. The specimen contains one layer of grains through the thickness. A laser confocal microscope is used to measure the surface topography of the deformed specimen. A finite element model with realistic (non-columnar) shapes of the grains based on a pair of Electron Back-Scatter Diffraction (EBSD) scans of a given specimen is constructed using a custom-developed shape interpolation procedure. A Crystal Plasticity Finite Element (CPFE) framework is then applied to the voxel model of the tension test of the oligocrystal. The unknown material parameters are determined inversely using an efficient, custom-built optimizer. Predictions of the deformed shape of the specimen, surface topography, evolution of the average roughness with straining and texture evolution are compared to experiments. The model reproduces the averaged features of the problem, while missing some local details. As an additional verification of the CPFE model, the statistics of surface roughening are analyzed by simulating uniaxial tension of an AA5052-O polycrystal and comparing it to experiments. The averaged predictions are found to be in good agreement with the experimentally observed trends. Finally, using the same polycrystalline specimen, texture-morphology relations are discovered, using a symbolic Monte Carlo approach. Simple relations between the Schmid factor and roughness can be inferred purely from the experiments. Novelties of this work include: realistic 3D shapes of the grains; efficient and accurate identification of material parameters instead of manual tuning; a fully analytical Jacobian for the crystal plasticity model with quadratic convergence; novel texture-morphology relations for polycrystal.

摘要

采用实验与建模相结合的方法,对Al-Mg合金变形诱导的表面粗糙度进行了分析。通过再结晶退火和随后的机械加工减薄得到的AA5052-O中尺度多晶体,包含约40个晶粒,对其进行单轴拉伸。试样在厚度方向上包含一层晶粒。使用激光共聚焦显微镜测量变形试样的表面形貌。基于对给定试样的一对电子背散射衍射(EBSD)扫描,利用定制开发的形状插值程序构建具有实际(非柱状)晶粒形状的有限元模型。然后将晶体塑性有限元(CPFE)框架应用于多晶体拉伸试验的体素模型。使用高效的定制优化器反向确定未知材料参数。将试样变形形状、表面形貌、平均粗糙度随应变的演变以及织构演变的预测结果与实验进行比较。该模型再现了问题的平均特征,但缺少一些局部细节。作为CPFE模型的额外验证,通过模拟AA5052-O多晶体的单轴拉伸并将其与实验进行比较,分析了表面粗糙度的统计数据。发现平均预测结果与实验观察到的趋势吻合良好。最后,使用相同的多晶试样,采用符号蒙特卡罗方法发现了织构-形态关系。仅从实验中就可以推断出施密德因子与粗糙度之间的简单关系。这项工作的新颖之处包括:晶粒的实际三维形状;高效准确地识别材料参数而非手动调整;具有二次收敛性的晶体塑性模型的全解析雅可比矩阵;多晶体新颖的织构-形态关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc0e/10456701/88f5402f9203/materials-16-05601-g0A1.jpg

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