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Expression of Additive Manufacturing Surface Irregularities through a Flaw-Based Assessment

机译:通过基于缺陷的评估表达添加剂制造表面不规则性

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Metal additive manufacturing (AM) has progressed from a pure research topic to an indispensable manufacturing process for many industries within the past 15 years. For the space industry, the performance of a variety of products, including structures, antennas, propulsion parts, and optical equipment is being improved through this manufacturing technique. Process-inherent defects are still encountered and may lead to significant safety factors, particularly for highly loaded, mission-critical applications. An analysis of the fatigue properties of AISi10Mg produced by selective laser melting (SLM) has shown that the fatigue strength and fatigue life of machined specimens could be accurately predicted by adopting a defect-tolerant design concept. In details, the fatigue strength appeared to be controlled by the defect with the maximum stress intensity factor (SIF) present in each specimen. The fatigue properties could be predicted by treating the lack-of-fusion defects as short cracks. For near-net-shaped (i.e., not machined) surfaces, a previous investigation studied the influence of building direction, platform temperature, powder layer thickness, surface finish, and heat treatment on fatigue properties of AM AISi10Mg and X-ray computed tomography (XCT) was performed to research the defect population. The work showed that processing parameters and surface treatment influenced fatigue properties, as expected for conventionally produced material. This study conducted an accurate analysis of the subsurface features at the fracture origin of AISi10Mg specimens, manufactured by SLM and treated with different surface finish. On the basis of these results, a simple fracture mechanics assessment inside the Kitagawa diagram is proposed, which relies on the size of critical defects and the residual stress obtained on the surface. The applicability of this approach to define the quality of AM material in the near-net-shaped condition is discussed.
机译:金属添加剂制造业(AM)已从纯粹的研究课题进入过去15年内的许多行业的不可或缺的制造过程。对于空间行业,通过该制造技术改善了各种产品的性能,包括结构,天线,推进部件和光学设备。仍然遇到过程固有的缺陷,可能导致显着的安全因子,特别是对于高负载,关键任务应用程序。通过选择性激光熔化(SLM)产生的AISI10mg疲劳性能分析表明,通过采用缺陷的设计概念,可以准确地预测加工样本的疲劳强度和疲劳寿命。详细地,疲劳强度似乎通过每个样本中存在的最大应力强度因子(SIF)的缺陷来控制。可以通过将融合缺陷作为短裂缝来预测疲劳性能。对于近净形(即,未加工)表面,先前的研究研究了建筑方向,平台温度,粉末层厚度,表面光洁度和热处理对AMISi10MG和X射线计算机断层扫描的疲劳性能的影响( XCT)进行了研究缺陷人群。该工作表明,如常规生产材料的预期,加工参数和表面处理会影响疲劳性能。该研究对AISI10MG标本的骨折起源进行了准确分析,由SLM制造并用不同的表面光洁度处理。在这些结果的基础上,提出了一种简单的裂缝力学评估,依赖于临界缺陷的尺寸和表面上获得的残余应力。讨论了这种方法的适用性在近净形状中定义AM材料的质量。

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