[1] PARK J B, YANG S M, KO Y. Evaluation of the surface characteristics of various implant abutment materials using confocal microscopy and white light interferometry[J]. Implant Dentistry, 2015, 24(6): 650-656.
[2] 何宝凤, 丁思源, 魏翠娥, 等. 三维表面粗糙度测量方法综述[J]. 光学 精密工程,2019,27(1):78-93. doi: 10.3788/OPE.20192701.0078

HE B F, DING S Y, WEI C E, et al. Review of measurement methods for a real surface roughness[J]. Optics and Precision Engineering, 2019, 27(1): 78-93. (in Chinese) doi: 10.3788/OPE.20192701.0078
[3] ZHENG Y, ZHANG X, WANG SH D, et al. Similarity evaluation of topography measurement results by different optical metrology technologies for additive manufactured parts[J]. Optics and Lasers in Engineering, 2020, 126: 105920. doi: 10.1016/j.optlaseng.2019.105920
[4] 何宝凤, 魏翠娥, 刘柄显, 等. 三维表面粗糙度的表征和应用[J]. 光学 精密工程,2018,26(8):1994-2011. doi: 10.3788/OPE.20182608.1994

HE B F, WEI C E, LIU B X, et al. Three-dimensional surface roughness characterization and application[J]. Optics and Precision Engineering, 2018, 26(8): 1994-2011. (in Chinese) doi: 10.3788/OPE.20182608.1994
[5] 张金峰, 封超, 马芸慧, 等. 微铣金属表面微沟槽结构的粗糙度及形貌分析[J]. 光学 精密工程,2018,26(12):2998-3011. doi: 10.3788/OPE.20182612.2998

ZHANG J F, FENG CH, MA Y H, et al. Analysis of roughness and morphology of metal surface grooves by micro milling[J]. Optics and Precision Engineering, 2018, 26(12): 2998-3011. (in Chinese) doi: 10.3788/OPE.20182612.2998
[6] LIN T, HU Y, KONG L T, et al. Effect of surface roughness on plasticity of Zr52.5Cu17.9Ni14.6Al10Ti5 bulk metallic glass[J]. Transactions of Nonferrous Metals Society of China, 2012, 22(6): 1407-1411. doi: 10.1016/S1003-6326(11)61333-2
[7] KONG F X, SUN T, GENG Y Q, et al. Measurement method of Wolter-I type mandrel based on a contact-type profilometer[J]. Proceedings of the Institution of Mechanical Engineers,Part B:Journal of Engineering Manufacture, 2019, 233(11): 2173-2182. doi: 10.1177/0954405419830010
[8] 周秋凤. GB/T 1031—2009《产品几何技术规范(GPS)表面结构 轮廓法 表面粗糙度参数及其数值》介绍[J]. 机械工业标准化与质量,2010(3):30-32, 37. doi: 10.3969/j.issn.1007-6905.2010.03.007

ZHOU Q F. Introduction to GB/T 1031-2009 Geometrical Product Specifications (GPS). Surface texture: profile method, Surface roughness parameters and their values[J]. Machinery Industry Standardization &Quality, 2010(3): 30-32, 37. (in Chinese) doi: 10.3969/j.issn.1007-6905.2010.03.007
[9] FU SH W, CHENG F, TJAHJOWIDODO T, et al. A non-contact measuring system for in-situ surface characterization based on laser confocal microscopy[J]. Sensors, 2018, 18(8): 2657. doi: 10.3390/s18082657
[10] XUE B, GENG Y Q, YAN Y D, et al. Effects of AFM tip wear on evaluating the surface quality machined by ultra-precision machining process[J]. The International Journal of Advanced Manufacturing Technology, 2019, 105(11): 4663-4675. doi: 10.1007/s00170-019-03958-x
[11] 徐伟. 基于光纤传感器的深孔内表面粗糙度测量方法研究[D]. 镇江: 江苏大学, 2018.

XU W. Research on detection method of inner surface roughness for deep hole based on fiber optical sensor [D]. Zhenjiang: Jiangsu University, 2018. (in Chinese)
[12] 任志英, 高诚辉, 申丁, 等. 双树复小波稳健滤波在工程表面粗糙度评定中的应用[J]. 光学 精密工程,2014,22(7):1820-1827. doi: 10.3788/OPE.20142207.1820

REN ZH Y, GAO CH H, SHEN D, et al. Application of DT-CWT robust filtering to evaluation of engineering surface roughness[J]. Optics and Precision Engineering, 2014, 22(7): 1820-1827. (in Chinese) doi: 10.3788/OPE.20142207.1820
[13] 齐兴华. 三维表面粗糙度测量与评定[D]. 哈尔滨: 哈尔滨理工大学, 2017.

QI X H. Measurement and evaluation of three dimensional surface roughness [D]. Harbin: Harbin University of Science and Technology, 2017. (in Chinese)
[14] 张恒, 孙建春, 向芬, 等. 隧道施工通风壁面粗糙度评定方法及其工程应用[J]. 安全与环境学报,2019,19(1):217-225.

ZHANG H, SUN J CH, XIANG F, et al. Assessment method to deal with the wall face roughness in the tunnel construction and its application[J]. Journal of Safety and Environment, 2019, 19(1): 217-225. (in Chinese)
[15] 刘颖, 郎治国, 唐文彦. 表面粗糙度光切显微镜测量系统的研制[J]. 红外与激光工程,2012,41(3):775-779. doi: 10.3969/j.issn.1007-2276.2012.03.042

LIU Y, LANG ZH G, TANG W Y. Development of measurement system about light-section microscope for surface roughness[J]. Infrared and Laser Engineering, 2012, 41(3): 775-779. (in Chinese) doi: 10.3969/j.issn.1007-2276.2012.03.042
[16] 瞿雪元, 顾廷权, 方百友. 带钢表面粗糙度在线检测技术最新进展[J]. 电子测量与仪器学报,2017,31(4):493-500.

QU X Y, GU T Q, FANG B Y. Review of surface roughness online measurement techniques of steel strip[J]. Journal of Electronic Measurement and Instrumentation, 2017, 31(4): 493-500. (in Chinese)
[17] 蔡雯, 陈培锋, 王英, 等.基于激光散射的表面粗糙度测量系统研究 [J/OL]. 激光技术: 1-10[2020-01-09]. http://kns.cnki.net/kcms/detail/51.1125.TN.20191206.1456.002.html.

CAI W, CHEN P F, WANG Y, et al.. Research of surface roughness measurement system based on laser scattering[J/OL]. Laser Technology: 1-10[2020-01-09]. http://kns.cnki.net/kcms/detail/51.1125.TN.20191206.1456.002.html. (in Chinese)
[18] 易怀安. 基于色彩信息的机器视觉粗糙度检测方法研究[D]. 长沙: 湖南大学, 2017.

YI H A. Research on the machine vision methods for roughness detection based on color information [D]. Changsha: Hunan University, 2017. (in Chinese)
[19] 李业学, 张学林, 徐福卫, 等. 工件粗糙度在线检测的试验研究[J]. 实验力学,2018,33(5):807-815. doi: 10.7520/1001-4888-17-065

LI Y X, ZHANG X L, XU F W, et al. Experimental study on online detection of workpiece roughness[J]. Journal of Experimental Mechanics, 2018, 33(5): 807-815. (in Chinese) doi: 10.7520/1001-4888-17-065
[20] 韩晓芹, 宋永锋, 刘雨, 等. 基于超声无损评价的表面粗糙度测量方法[J]. 中国机械工程,2019,30(8):883-889. doi: 10.3969/j.issn.1004-132X.2019.08.001

HAN X Q, SONG Y F, LIU Y, et al. A surface roughness measurement method based on ultrasonic nondestructive evaluations[J]. China Mechanical Engineering, 2019, 30(8): 883-889. (in Chinese) doi: 10.3969/j.issn.1004-132X.2019.08.001
[21] 朱南南, 张骏. 表面粗糙度激光散射检测的多波长光纤传感器[J]. 红外与激光工程,2016,45(5):522003. doi: 10.3788/irla201645.0522003

ZHU N N, ZHANG J. Multi-wavelength fiber sensor for measuring surface roughness based on laser scattering[J]. Infrared and Laser Engineering, 2016, 45(5): 522003. (in Chinese) doi: 10.3788/irla201645.0522003
[22] 臧俊涛. 基于机器视觉与机器学习的磨削齿面粗糙度测量研究[D]. 长沙: 湖南大学, 2018.

ZANG J T. Research on grinding gear surface roughness measurement methods based on machine vision and machine learning [D]. Changsha: Hunan University, 2018. (in Chinese)
[23] 余卿, 余晓芬, 崔长彩, 等. 并行共焦测量中的并行光源技术综述[J]. 中国光学,2013,6(5):652-659.

YU Q, YU X F, CUI CH C, et al. Survey of parallel light source technology in parallel confocal measurement[J]. Chinese Optics, 2013, 6(5): 652-659. (in Chinese)
[24] BAI J, LI X H, WANG X H, et al. Chromatic confocal displacement sensor with optimized dispersion probe and modified centroid peak extraction algorithm[J]. Sensors, 2019, 19(16): 3592. doi: 10.3390/s19163592
[25] ZINT M, STOCK K, CLAUS D, et al. Development and verification of a snapshot dental intraoral three-dimensional scanner based on chromatic confocal imaging[J]. Journal of Medical Imaging, 2019, 6(3): 033502.
[26] 朱鸿. 光谱共焦位移传感器信号处理与校准研究[D]. 武汉: 华中科技大学, 2019.

ZHU H. Research on signal processing and calibration of spectral confocal displacement sensor [D]. Wuhan: Huazhong University of Science and Technology, 2019. (in Chinese)
[27] 西北工业大学机械原理及机械零件教研室. 机械原理[M]. 北京: 高等教育出版社, 1987.

Teaching and Research Section of Mechanical Principle and Mechanical Parts of Northwest Polytechnic University. Theory of Machines and Mechanisms[M]. Beijing: Higher Education Press, 1987. (in Chinese)