冰模板陶瓷的离轴压缩响应

R. Jujjavarapu
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引用次数: 0

摘要

利用实验结果和微力学模型仿真分析了冰模板陶瓷的离轴压缩行为。冰模板陶瓷是利用各向异性生长特性和片层形貌制备各向异性泡沫陶瓷的一种多功能加工技术。冰模板工艺产生了由微观结构决定的加工-结构-性能关系。将冷冻铸造后的氧化铝加工样品在准静态离轴加载条件下进行了测试,并测定了材料的力学性能。采用数字图像相关技术(DIC)测量了冰模板陶瓷在离轴载荷作用下的应变响应。DIC结果显示材料在压缩过程中应变分布不均匀。具体地说,局部应变集中的柱状区域的起源是指向冰生长方向的。这些区域被发现是在离轴和0度加载条件下的开始破坏。实验结果表明,加载方向对冰模板陶瓷的压缩性能有较大影响。提出了一种代表性体积单元来预测离轴载荷的行为。微力学加载结果表明,板壁屈曲是破坏的驱动因素。模型计算结果与实验结果吻合较好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Off Axis Compressive Response of Ice-Templated Ceramics
OFF AXIS COMPRESSIVE RESPONSE OF ICE TEMPLATED CERAMICS Rahul Kumar Jujjavarapu Old Dominion University, 2019 Co-Directors: Dr. Oleksandr Kravchenko Dr. Dipankar Ghosh The off-axis compressive behavior of ice-templated ceramic was analyzed using experimental results and micro-mechanical model simulation. Ice-templated ceramics is a versatile processing technique used to manufacture anisotropic ceramic foam by exploiting the anisotropic growth characteristics and lamellar morphology. The ice-templating process results in processing-structure-property relationships determined by the microstructure. The processed alumina samples which were later manufactured by water jet machine from the freeze casting were tested under quasi-static off-axis loading conditions and were used to determine the mechanical properties of the material. Digital image correlation (DIC) was used to measure the strain response of ice-templated ceramic under off-axis loading. DIC results revealed nonhomogenous strain distribution in the material during compression. Specifically, the origin of the localized strain concentration columnar regions, which are oriented in the ice-growth direction. Those regions were found to be the onset failure of in off-axis and 0-degree loading conditions. The experimental results reveal the strong influence of the loading direction on the compressive behavior of the ice-templated ceramic. A Representative Volume Element is developed to predict the behavior of off-axis loading. Micro-mechanical loading results in indicated that buckling of lamella walls were determined as the driving factor of failure. The results of the model compared favorably with the experimental results.
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