The emergence of reliable material characterization techniques in automotive and aeronautical industries, in particular sheet metal forming, promises to underpin a novel advance in materials research. In this regard, 5xxx series aluminium alloys deliver the largest formability range and can be deformed at room temperature. This study aims at determining the mechanical properties of the AA5352 aluminium alloy, using digital image correlation. Thus, tensile sheet specimens manufactured from the corresponding alloy are mechanically tested under a uniaxial condition and deformation fields are monitored. Considering the force/displacement response and stress/strain curves, the material Poisson’s ratio, Young’s modulus and anisotropy coefficient in the transverse direction are characterized by the experimental digital image correlation data. It intends to obtain accurate and reliable mechanical properties to be considered in the future processing analyses. Numerically, adopting the experimentally obtained material properties, the Gurson–Tvergaard–Needleman damage model is implemented using finite element method formulation to forecast the ductile fracture performance of the tested AA5352 sheet. The predicted results are then compared with the experimental digital image correlation solution verifying good agreement with the force/displacement response and the deformation fields. Overall, the acquired numerical results imply that the Gurson–Tvergaard–Needleman damage criterion is capable to render an accurate prediction upon a high stress triaxiality state.

中文翻译：

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基于数字图像关联的 AA5352 铝合金材料表征和损伤评估

可靠的材料表征技术在汽车和航空工业中的出现，尤其是钣金成型，有望支持材料研究的新进展。在这方面，5xxx 系列铝合金具有最大的可成形性范围，并且可以在室温下变形。本研究旨在使用数字图像相关性确定 AA5352 铝合金的机械性能。因此，由相应合金制成的拉伸片试样在单轴条件下进行机械测试，并监测变形场。考虑到力/位移响应和应力/应变曲线，材料的泊松比、杨氏模量和横向各向异性系数由实验数字图像相关数据表征。它旨在获得准确可靠的机械性能，以便在未来的加工分析中加以考虑。在数值上，采用实验获得的材料特性，使用有限元方法公式实现 Gurson-Tvergaard-Needleman 损伤模型，以预测被测 AA5352 板材的延性断裂性能。然后将预测结果与实验数字图像相关解决方案进行比较，验证与力/位移响应和变形场的良好一致性。总的来说，获得的数值结果意味着 Gurson-Tvergaard-Needleman 损伤准则能够对高应力三轴状态进行准确预测。采用实验获得的材料特性，使用有限元方法公式实现 Gurson-Tvergaard-Needleman 损伤模型，以预测被测 AA5352 板材的延性断裂性能。然后将预测结果与实验数字图像相关解决方案进行比较，验证与力/位移响应和变形场的良好一致性。总的来说，获得的数值结果意味着 Gurson-Tvergaard-Needleman 损伤准则能够对高应力三轴状态进行准确预测。采用实验获得的材料特性，使用有限元方法公式实现 Gurson-Tvergaard-Needleman 损伤模型，以预测被测 AA5352 板材的延性断裂性能。然后将预测结果与实验数字图像相关解决方案进行比较，验证与力/位移响应和变形场的良好一致性。总的来说，获得的数值结果意味着 Gurson-Tvergaard-Needleman 损伤准则能够对高应力三轴状态进行准确预测。然后将预测结果与实验数字图像相关解决方案进行比较，验证与力/位移响应和变形场的良好一致性。总的来说，获得的数值结果意味着 Gurson-Tvergaard-Needleman 损伤准则能够对高应力三轴状态进行准确预测。然后将预测结果与实验数字图像相关解决方案进行比较，验证与力/位移响应和变形场的良好一致性。总的来说，获得的数值结果意味着 Gurson-Tvergaard-Needleman 损伤准则能够对高应力三轴状态进行准确预测。