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厚壁空心微球的球形度和壁厚均匀性的表征研究
引用本文:刘梅芳, 陈素芬, 刘一杨, 等. 厚壁空心微球的球形度和壁厚均匀性的表征研究[J]. 强激光与粒子束, 2014, 26: 022017. doi: 10.3788/HPLPB201426.022017
作者姓名:刘梅芳  陈素芬  刘一杨  苏琳  史瑞廷  漆小波  李波  张占文
作者单位:1.中国工程物理研究院 激光聚变研究中心, 四川 绵阳 621 900
摘    要:为建立高效简洁的厚壁空心微球球形度和壁厚均匀性的表征和测量方法,以内径850 m、壁厚25 m的厚壁聚苯乙烯(PS)微球为测量对象,分析球形度和壁厚均匀性的表征方法,探讨测量过程中采样方式对表征微球球形度和壁厚均匀性的影响。研究表明:对于批量微球球形度和壁厚均匀性的表征,当抽样数目不小于30时,测量结果之间的差异很小;而对于单一微球的球形度和壁厚均匀性的表征,至少3个不同投影面的测量结果的平均值才趋于稳定。不同投影面导致球形度或壁厚均匀性较差的批次样品的测量结果有一定差异,多次投影测量可提高测量结果的可靠性。

关 键 词:厚壁空心微球   球形度   壁厚均匀性   抽样数目   投影次数
收稿时间:2013-08-27
修稿时间:2013-11-13

Characterization of sphericity and wall thickness uniformity of thick-walled hollow microspheres
Liu Meifang, Chen Sufen, Liu Yiyang, et al. Characterization of sphericity and wall thickness uniformity of thick-walled hollow microspheres[J]. High Power Laser and Particle Beams, 2014, 26: 022017. doi: 10.3788/HPLPB201426.022017
Authors:Liu Meifang  Chen Sufen  Liu Yiyang  Su Lin  Shi Ruiting  Qi Xiaobo  Li Bo  Zhang Zhanwen
Affiliation:1. Research Center of Laser Fusion,CAEP,P.O.Box 919-987,Mianyang 621900,China
Abstract:To characterize the sphericity and the wall thickness uniformity, thick-walled polystyrene (PS) hollow microspheres with inner diameter of 850 m and wall thickness of 25 m were measured by the VMR microscope system, and the effects of sampling methods on the sphericity and the wall thickness uniformity were investigated. For the characterization of a batch of hollow microspheres, the experimental results showed very slight difference when the sample number was no less than 30. For a single hollow microsphere, the average results became stable when the times of the projection torus were at least 3. Therefore, the sample number should be no less than 30 to characterize a batch of hollow microspheres. Moreover, for hollow microspheres with poor wall thickness uniformity or poor sphericity, taking advantage of more than one projection torus benefits improving the reliability of the results.
Keywords:thick-walled hollow microspheres  sphericity  wall thickness uniformity  sample number  projection torus times
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