Understanding Anisotropy and Forming Limit in 6C16 Aluminum Alloy: Insights from Evolutionary R-Values with Various Calculation Methods

IF 4 3区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
Zhenkai Mu, Tianyu Hou, Longfei He, Jiale Liu, Shibo Ma, Huajun Yan, Xuerui Dai
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Abstract

The forming limit curve (FLC) is crucial for evaluating the local forming ability of sheet metal stamping. Considering the evolution of plastic deformation is a significant way to enhance the prediction of the theoretical forming limit. Based on the series anisotropic and forming limit characterization tests for 6C16 aluminum alloy sheet, the influence of calculation methods for evolutionary R-values on the FLC prediction was revealed in this paper. By comparing the calculation processes of plastic strain curves using three evolutionary R-value calculation methods, their calculation principles and limitations were analyzed in detail. In terms of the fitting error for the plastic strain curve, the segmentation linear fitting method had the highest error at 2.62E−3, while the third-order polynomial fitting method had the lowest error at 6.71E−7. Based on the Marciniak–Kuczinsky (M–K) model, the FLC was predicted by different evolutionary R-value calculation methods combined with Hill48, Barlat89, and YLD2000 yield models. The results indicate that the accuracy of FLC prediction is closely related to the fitting accuracy of the R-value solving method on the plastic strain curve. When the third-order polynomial method was used, the prediction accuracy of the FLC based on the YLD2000 yield model could reach 97.82%, which was an increase of 2.76% compared to the other methods. Therefore, optimizing the method of solving the R-value can significantly enhance the prediction accuracy of the FLC. The research findings offer a reference for the selection of appropriate yield models and anisotropic evolution characterization methods for the M–K model.

Graphical Abstract

Abstract Image

6C16铝合金各向异性及成形极限的认识:基于演化r值的不同计算方法
成形极限曲线(FLC)是评价板料冲压局部成形能力的关键。考虑塑性变形的演化是提高理论成形极限预测的重要途径。基于6C16铝合金板材的系列各向异性和成形极限表征试验,揭示了演化r值计算方法对FLC预测的影响。通过对比三种演化r值计算方法的塑性应变曲线计算过程,详细分析了它们的计算原理和局限性。在塑性应变曲线的拟合误差方面,分段线性拟合方法误差最大,为2.62E−3,三阶多项式拟合方法误差最小,为6.71E−7。以Marciniak-Kuczinsky (M-K)模型为基础,结合Hill48、Barlat89和YLD2000产量模型,采用不同的进化r值计算方法对FLC进行预测。结果表明,FLC预测的精度与r值求解方法对塑性应变曲线的拟合精度密切相关。当采用三阶多项式方法时,基于YLD2000产量模型的FLC预测精度可达97.82%,较其他方法提高2.76%。因此,优化求解r值的方法可以显著提高FLC的预测精度。研究结果可为M-K模型选择合适的屈服模型和各向异性演化表征方法提供参考。图形抽象
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来源期刊
Metals and Materials International
Metals and Materials International 工程技术-材料科学:综合
CiteScore
7.10
自引率
8.60%
发文量
197
审稿时长
3.7 months
期刊介绍: Metals and Materials International publishes original papers and occasional critical reviews on all aspects of research and technology in materials engineering: physical metallurgy, materials science, and processing of metals and other materials. Emphasis is placed on those aspects of the science of materials that are concerned with the relationships among the processing, structure and properties (mechanical, chemical, electrical, electrochemical, magnetic and optical) of materials. Aspects of processing include the melting, casting, and fabrication with the thermodynamics, kinetics and modeling.
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