采用一种新的加性耦合屈服准则,突破了板材平面应变和剪切载荷的塑性建模极限

IF 11.2 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Journal of Materials Science & Technology Pub Date : 2024-12-13 DOI:10.1016/j.jmst.2024.12.003
Kai Du, Jianhua Cui, Yong Hou, Yanqiang Ren, Jiaqing You, Liang Ying, Xiaoqiang Li, Xiaojiao Zuo, Hongjun Huang, Xiaoguang Yuan
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引用次数: 0

摘要

汽车工业越来越依赖于数值模拟来预测复杂曲面零件的几何形状和成形过程。精确的屈服应力函数涵盖了广泛的应力状态,如单轴拉伸、等双轴拉伸、近平面应变拉伸和简单剪切,对于实现虚拟制造技术至关重要。本文提出了一种新的加性耦合解析屈服应力函数CPN2025,以准确描述各种加载条件下的塑性各向异性。CPN2025将Poly4各向异性屈服准则与Hosford各向同性屈服准则在非关联流动规则下相结合。介绍了一种非固定指数校准策略,克服了现有产量标准的局限性,这些标准通常只提供正相关或负相关的曲率调整。将CPN2025与SY2009、CQN2017和NAFR-Poly4等其他非相关良率函数进行比较,评价其在预测DP490、QP1180、AA5754-O和AA6016-T4的塑性各向异性方面的性能。结果表明,在满足凸性要求的同时,加性耦合方法不仅比乘性耦合方法具有更大的灵活性,而且简化了偏导数信息的获取。CPN2025在表征各向异性屈服行为方面提供了最高的精度,特别是对于近平面应变张力和简单剪切载荷。此外,纳入更多的单轴拉伸屈服应力校准材料参数显着提高了面内各向异性行为的预测能力。各向异性硬化概念的使用增强了模型在整个塑性应变范围内捕获后续屈服行为的能力。
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Breaking through the plasticity modeling limit in plane strain and shear loadings of sheet metals by a novel additive-coupled analytical yield criterion
The automotive industry increasingly relies on numerical simulations to predict the geometry and forming processes of complex curved parts. Accurate yield stress functions that cover a wide range of stress states, such as uniaxial tension, equi-biaxial tension, near-plane strain tension, and simple shear, are essential for implementing virtual manufacturing technologies. In this work, a new additive-coupled analytical yield stress function, CPN2025, is proposed to accurately describe plastic anisotropy under various loading conditions. CPN2025 integrates the Poly4 anisotropic yield criterion with the Hosford isotropic yield criterion under a non-associated flow rule. A non-fixed-exponent calibration strategy is introduced, overcoming the limitations of existing yield criteria that typically offer curvature adjustment with only positive or negative correlations. CPN2025 is compared with other non-associated yield functions, including SY2009, CQN2017, and NAFR-Poly4, to evaluate its performance in predicting the plastic anisotropy of DP490, QP1180, AA5754-O, and AA6016-T4. Results show that, while meeting convexity requirements, the additive-coupled approach not only provides greater flexibility than the multiplicative-coupled but also simplifies the acquisition of partial derivative information. CPN2025 delivers the highest accuracy in characterizing anisotropic yield behavior, particularly for near-plane strain tension and simple shear loadings. Additionally, incorporating more uniaxial tensile yield stress-calibrated material parameters significantly improves the prediction capacity of in-plane anisotropic behavior. The use of anisotropic hardening concepts enhances the model's capability to capture the subsequent yield behavior across the entire plastic strain range.
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来源期刊
Journal of Materials Science & Technology
Journal of Materials Science & Technology 工程技术-材料科学:综合
CiteScore
20.00
自引率
11.00%
发文量
995
审稿时长
13 days
期刊介绍: Journal of Materials Science & Technology strives to promote global collaboration in the field of materials science and technology. It primarily publishes original research papers, invited review articles, letters, research notes, and summaries of scientific achievements. The journal covers a wide range of materials science and technology topics, including metallic materials, inorganic nonmetallic materials, and composite materials.
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