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yt.yutian.金虫 (小有名气)
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Figure 4 shows a plot of the measured and estimated ratios of normalized dispersion as a function of the particle diameter for both Mylar and glass masks. We see that the ratio of dispersion to particle size decreases with particle size and increases with aspect ratio. As predicted, the dispersion also decreases with the wall roughness so that the chrome-on-glass mask results in the lowest dispersion. This is due to the fact that the mean sidewall roughness of the final PDMS device fabricated with a glass mask is a third of that produced by a mylar mask. With the flow rates used, the Peclet number (Pe) ranged from 108-109 and, therefore, the value of ódiffusion was very small (1-10 nm) and can be neglected in eq 10. It can be seen that for small size particle (2 ím diameter), the predictions are typically higher than the measured values. This can be attributed to the fact that due to high Peclet numbers (Pe) near the wall, the particles may not be falling into the crevices as predicted by our simple theory. |
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vivian_whq
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yt.yutian.(金币+10, 翻译EPI+1): 谢谢 2011-06-14 08:56:19
| 图4将聚酯薄膜和玻璃掩模的粒径函数显示为实测的和预计的归一化离差比例关系曲线图。 我们观察到：随着粒径降低，离差与粒径的比例也降低；随着长宽比增加该比例也增加。正如预测的那样,离差随着壁的粗糙度而减小,结果导致玻璃镀铬掩模在最低的色散。这是由于如下事实,即由玻璃掩模组装起来的最终PDMS设备是生产聚酯薄膜的第三代产品。随着使用的流动速率,Peclet数量范围从108-109(Pe),因此, odiffusion的数值非常小(1 – 10纳米)，在公示10中可以被忽略。可以看出,小尺寸粒子 (直径2ím), 预测数值通常要高于实测数值。这可能是由于这样的事实,即由于靠近墙壁的较高Peclet数值 (Pe),根据我们简单的理论，这些颗粒可能不会掉入裂缝。 |
2楼2011-06-14 01:29:38
ADIAO030907
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3楼2011-06-14 02:43:33
