平面充型中的取向形成:实验结果

K. Olivero, Jufang He, M. Altan
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引用次数: 1

摘要

实验分析了短纤维悬浮在高粘性流体中通过平面模腔时取向场的形成。这种流动在短纤维增强复合材料的注射成型中是常见的。玉米糖浆和尼龙纤维的悬浮液以恒定的流速通过一个狭窄的平面入口门注入实验模腔。气流在进口闸口附近突然膨胀,随后在下游发生三比一的收缩。在流动达到稳定状态后,通过透明的模壁拍摄了突然收缩附近的13个感兴趣区域的照片。计算机图像分析执行,以获得在感兴趣的区域内的所有纤维的方向数据。该数据用于通过二阶方向张量的厚度平均值计算a,这是通常用于量化方向场的方法。实验结果与基于Jeffery理论的数值预测在质量上是一致的,但在数量上的一致性并不令人满意。生成方向分布直方图以提供更详细的方向场表示。直方图显示了一个双峰分布,对准峰沿着理论计算的优选方向,第二个峰垂直于流动方向。二阶取向张量无法定量描述实验数据似乎是由于这些双峰分布。在五个感兴趣的区域径向方向直方图连同理论预测在这些位置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Orientation Formation in Planar Mold Filling: Experimental Results
The formation of orientation field of short fibers suspended in a highly viscous flow through a planar mold cavity is experimentally analyzed. Such flows are common in injection molding of short-fiber-reinforced composite materials. A suspension of corn syrup and nylon fibers is injected at a constant flow rate through a narrow planar inlet gate into an experimental mold cavity. The flow undergoes a sudden expansion near the inlet gate, followed by a three to one contraction downstream. Photographs of thirteen zones of interest in the vicinity of the sudden contraction are taken through transparent mold walls after the flow achieved steady conditions. Computerized image analysis is performed to obtain orientation data for all the fibers within the zones of interest. This data is used to calculate a through the thickness average of the second-order orientation tensor, which is commonly used to quantify orientation field. The experimental results are qualitatively consistent with numerical predictions based on Jeffery’s theory, but quantitative agreement is not satisfactory. Orientation distribution histograms are generated to provide a more detailed representation of the orientation field. The histograms reveal a bimodal distribution, with an alignment peak along the direction of the theoretically calculated preferred orientation, and a second peak perpendicular to the flow direction. The failure of the second-order orientation tensors to quantitatively describe the experimental data seems to be due to these bimodal distributions. Radial orientation histograms at five zones of interest are presented along with the theoretical predictions at these locations.
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