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Complex fibers orientation distribution evaluation in short glass fiber-reinforced thermoplastic (PA66 GF50)

机译:短玻璃纤维增​​强热塑性塑料(PA66 GF50)中的复杂纤维取向分布评估

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The use of composites made of polyamide 6.6 matrix and short-glass-fibers in automobile industry is progressive due to its low density and cost. The injection molded short glass fiber-reinforced (SGFR) thermoplastics structural parts such as intake, manifold and engine mount housing, induce complex fiber orientation distributions (FOD). This microstructure governs the macroscopic properties such as the mechanical stiffness and fatigue resistance. To estimate the FOD on such industrial parts at complex angles and ribs, we rely on simulation results and micro tomography analysis. The interest of this paper is to develop a semi-automated, quick and efficient orientation tensor identification approach from 2D microscopic images, which is capable of observing relatively larger surface compared to micro tomography. We finally conclude by comparing it with micro tomography and simulation results. Furthermore, we investigate its relevance with fatigue service ability.
机译:由聚酰胺6.6基体和短玻璃纤维制成的复合材料由于其低密度和低成本而逐渐在汽车工业中使用。注射成型的短玻璃纤维增​​强(SGFR)热塑性塑料结构零件(例如进气口,歧管和发动机支架外壳)会产生复杂的纤维取向分布(FOD)。该微观结构控制宏观性能,例如机械刚度和抗疲劳性。为了估算复杂角度和肋骨上此类工业零件的FOD,我们依赖于仿真结果和显微X射线断层扫描分析。本文的兴趣是从2D显微图像开发一种半自动化,快速且有效的方向张量识别方法,与显微X射线断层摄影术相比,该方法能够观察到相对较大的表面。我们最后通过将其与显微断层扫描和模拟结果进行比较来得出结论。此外,我们研究了其与疲劳服务能力的相关性。

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