簡易檢索 / 詳目顯示

研究生: 蘇雍智
Su, Yung-Chih
論文名稱: 以銀材料探討表面積碳與低訊噪比對低加速電壓EBSD的解析度之影響
Investigation of Surface Contamination and Low S/N ratio on EBSD resolution determination of Silver at Low Accelerating Voltage
指導教授: 郭瑞昭
Kuo, Jui-Chao
學位類別: 碩士
Master
系所名稱: 工學院 - 材料科學及工程學系
Department of Materials Science and Engineering
論文出版年: 2021
畢業學年度: 109
語文別: 中文
論文頁數: 111
中文關鍵詞: 低電壓背向散射繞射電子影像處理菊池圖品質評估空間解析度
外文關鍵詞: low-accelerating voltage EBSD, surface contamination, spatial resolution, Silver
相關次數: 點閱:175下載:0
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 本論文研究目的為優化背散射繞射電子(EBSD)實驗於低加速電壓下之空間解析度,當使用低加速電壓電子束時,背散射繞射電子的數量與強度皆會下降,並伴隨著訊噪比(Signal-noise-ratio)下降、菊池圖譜(Kikuchi pattern)影像品質變差,進而導致獲得之菊池圖譜無法精確計算其空間解析度。因此本論文希望藉由影像處理,來優化低加速電壓下的菊池圖譜品質,使EBSD實驗能於低電壓模式下進行,並且能成功計算空間解析度。
    本論文使用Wave-base背景扣除法對原始菊池圖進行背景雜訊扣除,接著選取分析區域(ROI)提取菊池線特徵,以三種影像評估值為扣除背景之菊池圖進行影像品質評分,使用DIC技術分析菊池圖相似度,計算相似度之中位數與偏差值,量化菊池圖品質對相似度分析的影響。同時發現表面積碳的影響,藉由縮短曝光時間減緩表面積碳,提高菊池圖品質,最後利用高斯公式擬合相似度曲線計算EBSD空間解析度。
    實驗結果顯示,使用SEM在加速電壓10kV與5kV時,X軸解析度分別為570.3±41.2 nm與229.5±15.1nm,在加速電壓10kV時,Y軸解析度為1406.2±65.6nm;使用FESEM在加速電壓10kV與5kV時,X軸解析度分別為57±6.4 nm與37.4±3 nm,Y軸解析度分別為101.5±7.8 nm與97.6±3.5 nm。

    The spatial resolution of EBSD can be improved by the decreasing accelerating voltage. However, this is accompanied by the disadvantages of surface contamination and low S/N ratio of Kikuchi pattern, which lead to difficulties in determination of the spatial resolution.

    In this study, we adjusted the exposure time and employed the wave-base background correction to improve the quality of Kikuchi pattern in order to calculate the spatial resolution at low accelerating voltage.

    The experimental results show that the X-axis resolution is 570.3±41.2 nm and 229.5±15.1 nm at 10 kV and 5 kV, respectively, and the Y-axis resolution 1406.2±65.6 nm at 10 kV and 5 kV, respectively, using SEM. The X-axis resolution is 57±6.4 nm and 37.4±3 nm at 10 kV and 5 kV, and the Y-axis resolution 101.5±7.8 nm and 97.6±3.5 nm, respectively.

    中文摘要 I Extended Abstract II 致謝 XII 目錄 XIII 表目錄 XVI 圖目錄 XVIII 第一章 前言 1 第二章 文獻回顧 3 2.1 背向散射電子繞射技術 3 2.2 空間解析度定義及影響因素 5 2.3 菊池圖影像處理 14 2.4 影像品質評估 ( IQA ) 16 第三章 材料與實驗方法 18 3.1 試片製備 18 3.1.1 熱處理 18 3.1.2 機械拋光處理 19 3.1.3 電解拋光處理 19 3.2 實驗流程 21 3.3 菊池圖影像品質優化 23 3.3.1 EBSD相機參數調整 23 3.3.2 Wave-Base 背景扣除法 24 3.3.3 菊池圖品質評估方法 28 3.4 菊池圖相似度分析 32 3.4.1 選擇分析區域(ROI) 32 3.4.2 數位影像相關法與交叉相關法 34 3.4.3 相似度分析結果評估方法 36 3.5 EBSD空間解析度分析 38 3.5.1 X軸解析度(Lateral resolution) 38 3.5.2 Y軸解析度(Longitudinal resolution) 42 第四章 實驗結果 43 4.1 菊池圖背景與雜訊之扣除 43 4.1.1 SEM 43 4.1.2 FESEM 53 4.2 提升DIC分析之靈敏度 61 4.2.1 SEM 61 4.2.2 FESEM 67 4.3 減少表面積碳的影響 73 4.4 EBSD空間解析度分析結果 80 4.4.1 SEM 80 4.4.2 FESEM 82 第五章 討論 83 5.1 電流密度對低加速電壓EBSD的空間解析度之影響 83 5.2 繞射圖影像處理對低加速電壓EBSD的空間解析度之影響 88 5.3 表面積碳對低加速電壓EBSD的空間解析度之影響 92 第六章 結論 103 參考文獻 106 Curriculum vitae 111

    1. Z.L. Wang, Elastic and inelastic scattering in electron diffraction and imaging. Plenum Press, 1995.
    2. S. Zaefferer, A critical review of orientation microscopy in SEM and TEM. Crystal Research and Technology, 46(6): p. 607-628, 2011.
    3. S. Ren, E. Kenik, K. Alexander, and A. Goyal, Exploring spatial resolution in electron back-scattered diffraction experiments via Monte Carlo simulation. Microscopy and Microanalysis, 4(1): p. 15-22, 1998.
    4. A. Deal, T. Hooghan, and A. Eades, Energy-filtered electron backscatter diffraction. Ultramicroscopy, 108(2): p. 116-125, 2008.
    5. F. Salimyanfard, M.R. Toroghinejad, F. Ashrafizadeh, and M. Jafari, EBSD analysis of nano-structured copper processed by ECAP. Materials Science and Engineering: A, 528(16-17): p. 5348-5355, 2011.
    6. A. Bastos, S. Zaefferer, D. Raabe, and C. Schuh, Characterization of the microstructure and texture of nanostructured electrodeposited NiCo using electron backscatter diffraction (EBSD). Acta materialia, 54(9): p. 2451-2462, 2006.
    7. D. Steinmetz and S. Zaefferer, Towards ultrahigh resolution EBSD by low accelerating voltage. Materials Science and Technology, 26(6): p. 640-645, 2010.
    8. J.-W. Shih, K.-W. Kuo, J.-C. Kuo, and T.-Y. Kuo, Effects of accelerating voltage and specimen thickness on the spatial resolution of transmission electron backscatter diffraction in Cu. Ultramicroscopy, 177: p. 43-52, 2017.
    9. M. Kotera, K. Murata, and K. Nagami, Monte Carlo simulation of 1–10‐KeV electron scattering in a gold target. Journal of Applied Physics, 52(2): p. 997-1003, 1981.
    10. D. Chen, J.C. Kuo, and W.T. Wu, Effect of microscopic parameters on EBSD spatial resolution. Ultramicroscopy, 111(9-10): p. 1488-94, 2011.
    11. S. Nishikawa and S. Kikuchi, Diffraction of cathode rays by calcite. Nature, 122(3080): p. 726-726, 1928.
    12. J.A. Venables and C.J. Harland, Electron back-scattering patterns—A new technique for obtaining crystallographic information in the scanning electron microscope. Philosophical Magazine, 27(5): p. 1193-1200, 1973.
    13. B.L. Adams, Orientation imaging microscopy: Emerging and future applications. Ultramicroscopy, 67(1-4): p. 11-17, 1997.
    14. N.K. Lassen, D.J. Jensen, and K. Conradsen, Image processing procedures for analysis of electron back scattering patterns. Scanning microscopy, 6(1): p. 115-121, 1992.
    15. A. Winkelmann, C. Trager-Cowan, F. Sweeney, A.P. Day, and P. Parbrook, Many-beam dynamical simulation of electron backscatter diffraction patterns. Ultramicroscopy, 107(4-5): p. 414-21, 2007.
    16. X. Shao, A. Srinivasan, W.K. Ang, and A. Khursheed, A high-brightness large-diameter graphene coated point cathode field emission electron source. Nature Communications, 9(1): p. 1288, 2018.
    17. A. Ul-Hamid, A Beginners' Guide to Scanning Electron Microscopy. A Beginners' Guide to Scanning Electron Microscopy, 2018.
    18. F. Humphreys and I. Brough, High resolution electron backscatter diffraction with a field emission gun scanning electron microscope. Journal of Microscopy, 195(1): p. 6-9, 1999.
    19. K. Kanaya and S. Okayama, Penetration and energy-loss theory of electrons in solid targets. Journal of Physics D: Applied Physics, 5(1): p. 43, 1972.
    20. T.C. Isabell and V.P. Dravid, Resolution and sensitivity of electron backscattered diffraction in a cold field emission gun SEM. Ultramicroscopy, 67(1-4): p. 59-68, 1997.
    21. A.J. Wilkinson and D.J. Dingley, Quantitative deformation studies using electron back scatter patterns. Acta Metallurgica et Materialia, 39(12): p. 3047-3055, 1991.
    22. J. Sukkau and R.A. Schwarzer, Reconstruction of Kikuchi patterns by intensity-enhanced Radon transformation. Pattern Recognition Letters, 33(6): p. 739-743, 2012.
    23. G. Yue, C. Hou, K. Gu, and N. Ling, No reference image blurriness assessment with local binary patterns. Journal of Visual Communication and Image Representation, 49: p. 382-391, 2017.
    24. Z. Wang, A.C. Bovik, H.R. Sheikh, and E.P. Simoncelli, Image quality assessment: from error visibility to structural similarity. IEEE Transactions on Image Processing, 13(4): p. 600-612, 2004.
    25. K. Simonyan and A. Zisserman, Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556, 2014.
    26. S. Ren, K. He, R. Girshick, and J. Sun, Faster r-cnn: Towards real-time object detection with region proposal networks. arXiv preprint arXiv:1506.01497, 2015.
    27. A.K. Moorthy and A.C. Bovik, Blind image quality assessment: From natural scene statistics to perceptual quality. IEEE Transactions on Image Processing, 20(12): p. 3350-3364, 2011.
    28. M.A. Saad, A.C. Bovik, and C. Charrier, Blind image quality assessment: A natural scene statistics approach in the DCT domain. IEEE Transactions on Image Processing, 21(8): p. 3339-3352, 2012.
    29. C. Li, A.C. Bovik, and X. Wu, Blind image quality assessment using a general regression neural network. IEEE Transactions on Neural Networks and Learning Systems, 22(5): p. 793-799, 2011.
    30. A. Mittal, A.K. Moorthy, and A.C. Bovik, No-reference image quality assessment in the spatial domain. IEEE Transactions on Image Processing, 21(12): p. 4695-4708, 2012.
    31. S.J. Balch and G.T. Thompson, An efficient algorithm for polynomial surface fitting. Computers & Geosciences, 15(1): p. 107-119, 1989.
    32. K.Kunze, S.I. Wright, B.L. Adams, and D.J. Dingley, Advance in automatic EBSP single orientation measurements. Textures and Microstructures, 20: p. 41-54, 1993.
    33. S.I. Wright and M.M. Nowell, EBSD image quality mapping. Microscopy and Microanalysis, 15(1): p. 72-84, 2006.
    34. L. Gelman, Advances in electrical engineering and computational science. Springer Science & Business Media. Dordrecht, 2009.
    35. M.M. Bayer and H. Du Buf, Automatic diatom identification. World Scientific. Singapore, 2002.
    36. L. Liu, B. Liu, H. Huang, and A.C. Bovik, No-reference image quality assessment based on spatial and spectral entropies. Signal Processing: Image Communication, 29(8): p. 856-863, 2014.
    37. C.J. Harland, P. Akhter, and J.A. Venables, Accurate microcrystallography at high spatial resolution using electron back-scattering patterns in a field emission gun scanning electron microscope. Journal of Physics E: Scientific Instruments, 14(2): p. 175-182, 1981.
    38. J.I. Goldstein, D.E. Newbury, J.R. Michael, N.W. Ritchie, J.H.J. Scott, and D.C. Joy, Scanning electron microscopy and X-ray microanalysis. Springer. New York, 2017.
    39. B. Hafner, Scanning electron microscopy primer. Characterization Facility, University of Minnesota-Twin Cities: p. 1-29, 2007.
    40. S.X. Ren, E.A. Kenik, K.B. Alexander, and A. Goyal, Exploring Spatial Resolution in Electron Back-Scattered Diffraction Experiments via Monte Carlo Simulation. Microscopy and Microanalysis, 4(1): p. 15-22, 1998.
    41. J.J. Hern, Specimen contamination in analytical electron microscopy : sources and solutions. Ultramicroscopy, 3(4): p. 375-380, 1978.
    42. L. Reimer, Transmission electron microscopy: physics of image formation and microanalysis. Springer. New York, 2013.
    43. M. Amman, J. Sleight, D. Lombardi, R. Welser, M. Deshpande, M. Reed, and L. Guido, Atomic force microscopy study of electron beam written contamination structures. Journal of Vacuum Science & Technology B: Microelectronics and Nanometer Structures Processing, Measurement, and Phenomena, 14(1): p. 54-62, 1996.
    44. P. Roediger, H.D. Wanzenboeck, G. Hochleitner, and E. Bertagnolli, Evaluation of chamber contamination in a scanning electron microscope. Journal of Vacuum Science & Technology B: Microelectronics and Nanometer Structures, 27(6): p. 2711-2717, 2009.

    下載圖示
    2026-08-04公開
    QR CODE