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利用总积分散射仪研究不同清洗技术下的基片表面粗糙度 被引量:3

Study on Surface Roughness of Substrates under Different Cleaning Techniques by Total Integrated Scatter
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摘要 为了探讨不同清洗工艺对基片表面微观粗糙度的影响,利用总积分散射(TIS)仪分别对不同条件下超声清洗的K9玻璃基片,End hall离子源清洗的K9玻璃基片和Kaufmann离子源清洗的熔石英基片的表面均方根(RMS)粗糙度进行了系统表征。结果表明,K9玻璃基片经不同条件下的超声波清洗后,由于清洗过程中表面受到损伤,其RMS粗糙度均有所增加;而对于End hall离子源和Kaufmann离子源清洗的基片,其表面RMS粗糙度的变化受清洗过程中离子束流、清洗时间和离子束能量等实验参量的影响较为明显,选择合适的实验参量可以降低基片表面粗糙度。 Total integrated scatter (TIS) is used to measure the root mean square (RMS) roughness of the fused quartz substrates cleaned by Kaufmann ion source and the K9 glass substrates cleaned by ultrasonic and End-hall ion source, respectively, to study the influence of the above cleaning methods on the surface micro-roughness of substrates. It is found that the RMS roughness of the K9 glass substrates cleaned by ultrasonic under different conditions all increases due to the damnification of the substrate surfaces, while the surface RMS roughness of the samples cleaned by End-hall ion source and Kaufmann ion source is significantly affected by the experiment parameters, such as the beam current, the cleaning time, and the energy of the ion beam. The RMS roughness of the samples can be decreased under appropriate experiment conditions.
出处 《中国激光》 EI CAS CSCD 北大核心 2009年第6期1559-1562,共4页 Chinese Journal of Lasers
基金 江苏省高校自然科学研究项目(ky200684) 江苏省高校"青蓝工程"资助课题
关键词 薄膜 基片 表面粗糙度 清洗 散射仪 thin films substrate surface roughness cleaning scatter
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  • 1于天燕,朱福荣,刘定权,张凤山.硫化锌透镜中长波红外宽带增透膜的研制[J].光学学报,2005,25(2):270-273. 被引量:26
  • 2乔明霞,黄伟,张彬.YbF_3和ZnS薄膜的折射率和厚度的分光光度法测定[J].激光杂志,2006,27(1):24-25. 被引量:7
  • 3朱耀南.光学薄膜激光损伤阈值测试方法的介绍和讨论[J].激光技术,2006,30(5):532-535. 被引量:19
  • 4D.J.White.Stylus contact method for surface metrology in the ascendancy[J].Meas·Control,1998,31(2):48-50.
  • 5J.M.Bennett.Recent development in surface roughness characterization[J].Meas.Sci.Technol.,1992,3(12):1119-1127.
  • 6M.Gupta,S.Raman.Machine vision assisted characterized of machined surface[J].Int.J.Prod.Res.,2001,39(4):759-784.
  • 7B.Ruffing.Application of speckle-correlation methods to surface-roughness measurement:a theoretical study[J].J.Opt.Soc.Am.A,1986,3(8):1297-1304.
  • 8S.I.Chang,J.S.Ravathur.Computer vision based non-contact surface roughness assessment using wavelet transform and response surface methodology[J].Quality Engineering,2005,17(3):435-451.
  • 9R.Kumar,P.Kulashekar,B.Dhanasekar et al..Application of digital image magnification for surface roughness evaluation using machine vision[J].Int.J.of Machine Tools and Manufacture,2005,45(2):228-234.
  • 10M.B.Kiran,B.Ramamoorthy,V.Radhakrishnan.Evaluation of surface roughness by vision system[J].Int.J.of Machine Tools and Manufacture,1998,38(5-6):685-690.

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