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Prediction of plastic anisotropy of textured polycrystalline sheets based on a new single crystal model

机译:织构多晶薄板塑性各向异性的预测   基于新的单晶模型

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摘要

In this paper, we predict the effect of texture on the anisotropy in plasticproperties of polycrystalline metallic sheets. The constituent grain behavioris modelled using the new single crystal yield criterion developed by Cazacu,Revil, and Chandola (2017). For ideal texture components, the yield stress andplastic strain ratios can be obtained analytically. For the case of stronglytextured sheets containing a spread about the ideal texture components, thepolycrystalline response is obtained numerically on the basis of the samesingle-crystal criterion. It is shown that for textures with misorientationscatter width up to 25 degrees, the numerical predictions are very close tothose obtained analytically for an ideal texture. Furthermore, irrespective ofthe number of grains in the sample, Lankford coefficients have finite valuesfor all loading orientations. Illustrative examples for sheets with texturescontaining a combination of few ideal texture components are also presented.The simulations of the predicted polycrystalline behavior based on the newdescription of the plastic behavior of the constituent grains capture theinfluence of individual texture components on the overall degree of anisotropy.The polycrystalline simulation results are also compared to analyticalestimates obtained using the closed-form formulas for the ideal componentspresent in the texture in conjunction with a simple law of mixtures. Theanalytical estimates show the same trends as the simulation results. Therefore,the trends in plastic anisotropy of the macroscopic properties can beadequately estimated analytically.
机译:在本文中,我们预测了织构对各向异性对多晶金属板塑性性能的影响。使用Cazacu,Revil和Chandola(2017)开发的新单晶产量准则对成分晶粒行为进行建模。对于理想的织构组件,可以通过解析获得屈服应力和塑性应变比。对于具有围绕理想织构成分的扩展的强纹理板,则根据相同的单晶准则从数值上获得多晶响应。结果表明,对于取向错误,散射宽度最大为25度的纹理,数值预测非常接近于解析得到的理想纹理。此外,不管样品中的晶粒数量如何,Lankford系数对于所有加载方向均具有有限值。还提供了具有少量理想纹理成分组合的具有纹理的板材的说明性示例。基于对成分晶粒塑性行为的新描述,对预测的多晶行为的模拟捕获了各个纹理成分对整体各向异性的影响。还将多晶模拟结果与使用闭合形式公式针对纹理中存在的理想成分以及简单的混合定律获得的分析估计值进行比较。分析估计显示出与模拟结果相同的趋势。因此,可以通过分析充分地估计宏观各向异性的塑性各向异性的趋势。

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