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首页> 外文期刊>The International Journal of Advanced Manufacturing Technology >Effect of additive manufactured lattice defects on mechanical properties: an automated method for the enhancement of lattice geometry
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Effect of additive manufactured lattice defects on mechanical properties: an automated method for the enhancement of lattice geometry

机译:添加剂制造的晶格缺陷对机械性能的影响:晶格几何形状增强的自动化方法

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摘要

Metal additive manufacturing (MAM) enables the fabrication of structures with complexity and resolution that cannot be achieved by traditional manufacturing techniques, including lattice structures. However, MAM processes inherently induce local manufacturing defects, resulting in variation between the idealised and as-manufactured geometry and potentially introducing stress concentrations that are detrimental to structural performance. Quantification of these effects on mechanical performance enables the manipulation of intended lattice geometry to enhance structural performance. However, due to the geometric complexity and small scale of geometric defects, experimental testing and numerical simulation of lattice structures are technically difficult and time-consuming. To overcome this limitation, a novel methodology for quantifying the effect of manufacturing defects on the mechanical properties of MAM lattice structural elements is proposed. This method involves the automated analysis of microscope images of as-manufactured lattice structures to generate numerical models that automate the identification of plastic hinge behaviour in node elements based on custom MAM material properties. This method is applied to Ti-6Al-4V lattice structures fabricated by selective laser melting (SLM) with a range of strut and node diameters and cell sizes. This novel method is shown to predict the effect of local manufacturing defects on bulk lattice mechanical response and provides an efficient tool for the optimisation of as-manufactured MAM lattice structures.
机译:金属添加剂制造(MAM)能够通过传统的制造技术(包括晶格结构)的传统制造技术来制造具有复杂性和分辨率的结构。然而,MAM工艺本身诱导了局部制造缺陷,导致理想化和制造的几何形状之间的变化,并且可能引入对结构性能有害的应力浓度。这些对机械性能影响的量化使得能够操纵预期的晶格几何形状以提高结构性性能。然而,由于几何复杂性和小规模的几何缺陷,晶格结构的实验测试和数值模拟在技术上难以耗时。为了克服这种限制,提出了一种用于量化制造缺陷对MAM晶格结构元件的机械性能的新方法。该方法涉及由制造的晶格结构的显微镜图像自动分析,以产生基于自定义MAM材料特性的节点元素中的塑性铰链行为识别的数值模型。该方法应用于通过选择性激光熔化(SLM)制造的Ti-6Al-4V晶格结构,其中一系列支柱和节点直径和细胞尺寸。该新方法显示出预测局部制造缺陷对散装晶格机械响应的影响,并提供了用于优化制造MAM格子结构的有效工具。

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