Fracture Prediction Based on Evaluation of Initial Porosity Induced By Direct Energy Deposition

R. Darabi, E. Azinpour, J. C. D. César de Sá, M. Machado, Ana Reis, J. Hodek, J. Džugan
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引用次数: 4

Abstract

Additive manufacturing (AM) of metals proved to be beneficial in many industrial and non-industrial areas due to its low material waste and fast stacking speed to fabricate high performance products. The present contribution addresses several known challenges including mechanical behaviour and porosity analysis on directed energy deposition (DED) manufactured stainless steel 316L components. The experimental methodology consisting of metal deposition procedure, hardness testing and fractographic observations on manufactured mini-tensile test samples is described. A ductile fracture material model based on the Rousselier damage criterion is utilized within a FE framework for evaluation of material global response and determination of initial porosity value representing the structure’s nucleating void population. Alternatively, the initial pore sizes are characterized using the generalized mixture rule (GMR) analysis and the validity of the approach is examined against the experimental results.
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基于直接能量沉积初始孔隙度评价的裂缝预测
金属增材制造(AM)由于其低材料浪费和快速堆叠速度,在许多工业和非工业领域被证明是有益的,以制造高性能产品。本贡献解决了几个已知的挑战,包括定向能沉积(DED)制造的316L不锈钢部件的机械性能和孔隙率分析。介绍了由金属沉积程序、硬度测试和对制造的小型拉伸试样的断口观察组成的实验方法。基于Rousselier损伤准则的韧性断裂材料模型在有限元框架内用于评估材料的整体响应和确定代表结构成核空隙群的初始孔隙率值。或者,使用广义混合规则(GMR)分析来表征初始孔径,并根据实验结果检验该方法的有效性。
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CiteScore
1.70
自引率
8.30%
发文量
0
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