搜索

x

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

基于激光散斑成像的零件表面粗糙度建模

陈苏婷 胡海锋 张闯

引用本文:
Citation:

基于激光散斑成像的零件表面粗糙度建模

陈苏婷, 胡海锋, 张闯

Surface roughness modeling based on laser speckle imaging

Chen Su-Ting, Hu Hai-Feng, Zhang Chuang
PDF
导出引用
  • 表面粗糙度是衡量机械表面加工水平的重要参数. 通过构建一套激光散斑成像采集系统, 获取了不同表面加工类型和不同粗糙度值的零件表面激光散斑图像. 应用Tamura纹理特征理论提取图像的纹理粗糙度、对比度、方向度特征, 并分析了这三个特征与表面粗糙度的关系. 发现了纹理粗糙度特征与表面粗糙度的单调关系, 推导出平磨、外磨、研磨三种表面加工工艺的粗糙度值与图像纹理粗糙度特征的数学函数关系, 实现了表面粗糙度的测量. 同时, 利用Tamura纹理特征与加工工艺的依赖关系, 建立了基于贝叶斯网络的工艺识别推理模型, 推理出了零件表面加工工艺. 通过为多种加工类型表面建立粗糙度测量模型, 为粗糙度测量提供了新思路. 实验证明所提的粗糙度测量模型能以较高的准确率识别出零件表面加工类型并测量出其表面粗糙度值.
    Surface roughness is an important parameter in measuring the roughness of surface formed by laser irradiation on the workpiece. Speckle images of rough surfaces in different classes and different surface roughness values are obtained by constructing a set of laser speckle image acquisition systems. First, the texture features of speckle images including coarseness, contrast and direction are extracted using Tamura texture theory. Then, the interactions these three features with the surface roughness are analyzed. Based on the analyses of their monotonic relations, the surface roughness functions, including flat grinding, external grinding and mill grinding craftworks, are established respectively between the texture coarseness feature of the speckle image Fcrs and surface roughness Ra. Through the establishment of surface roughness function for the above three classes of workpieces, the value of surface roughness can be computed directly. However, before obtaining the value of surface roughness, the classes of processing technic should be determined because of the inconsistency of function expressions for different classes. And based on the specific connection and related dependencies between Tamura texture features and workpiece class, Bayes network is proposed to describe this uncertainty relation among different classes. Through network structure learning and parameter learning, a model for reasoning is found which can be used to determine the class of workpiece after obtaining texture coarseness feature Fcrs. Thus, not only can the value of surface roughness be measured, also the class of work-piece can be recognized. Experiments are conducted to confirm the feasibility of the proposed model for measurement. The detection results indicate that high precision and accuracy are achieved for both workpiece class recognition and roughness measurement.
      通信作者: 陈苏婷, sutingchen@nuist.edu.cn
    • 基金项目: 国家自然科学基金(批准号: 61302188)、中国博士后特别资助基金(批准号: 2012 T50510)、中国博士后科学基金(批准号: 2011 M500940)、江苏省高校重大自然科学基金(批准号: 12KJA510001)和江苏高校优势学科建设工程项目资助的课题.
      Corresponding author: Chen Su-Ting, sutingchen@nuist.edu.cn
    • Funds: Project supported by the National Natural Science Foundation of China (Grant No. 61302188), the Special Science Foundation for Post Doctorate Research of the Ministry of Science and Technology of China (Grant No. 2012 T50510), the Science Foundation for Post Doctorate Research of the Ministry of Science and Technology of China (Grant No. 2011 M500940), the Key Natural Science Foundation of the Higher Education Institutions of Jiangsu Province, China (Grant No. 12KJA510001), and the Priority Academic Program Development of Jiangsu Higher Education Institutions.
    [1]

    Wang C X 2010 IIE Trans. 35 11

    [2]

    Fuh YK, Hsu KC, Fan JR 2012 Opt. Lett. 37 848

    [3]

    Shahabi H H, Ratnam M M 2010 Int. J. Adv. Manuf. Technol. 46 275

    [4]

    Dainty J C 1984 Laser Speckle and Related Phenomena (Berlin: Spring-Verlag) p18, p29

    [5]

    Williams G, Pfeifer M, Vartanyants I, Robinson I 2003 Phys. Rev. Lett. 90 175501

    [6]

    Pierce M S, Moore R G, Sorensen L B, Kevan S D, Hellwig O, Fullerton E E, Kortright J B 2003 Phys. Rev. Lett. 90 175502

    [7]

    Zhang N Y Teng S Y, Song H S, Liu G Y, Cheng C F 2009 Chin. Phys. Lett. 26 034209

    [8]

    Briers D, Duncan D, Hirst E, Kirkpatrick S J, Larsson M, Steenbergen W, Thompson O B 2013 J. Biomed. Opt. 18 066018

    [9]

    Samtas G 2014 Int. J. Adv. Manuf. Technol. 73 353

    [10]

    Shimizu M, Sawano H, Yoshioka H 2014 Precis. Eng 38 1

    [11]

    Gao Z, ZhaoX Z 2011 Opt. Laser Eng. 50 668

    [12]

    Kayahan E, Oktem H, Hacizade F 2010 Tribol. Int. 43 307

    [13]

    Wu Y L, Wu Z S 2014 Chin. Phys. B 23 37801

    [14]

    Regan C, Ramirez-San-Juan J C, Choi B 2014 Opt. Lett. 39 5006

    [15]

    Zeng Y, Wang M, Feng G 2013 Opt. Lett. 38 1313

    [16]

    Song H S, Zhuang Q, Liu G Y, Qin X F, Chen C F 2014 Acta Phys. Sin. 63 094201 (in Chinese) [宋洪胜, 庄桥, 刘桂媛, 秦希峰, 程传福 2014 物理学报 63 094201]

    [17]

    Françon M 2012 Laser speckle and applications in optics (Elsevier) p56

    [18]

    Bunge, H J 2013 Texture analysis in materials science: mathematical methods (Elsevier) p23

    [19]

    Pernkopf F, Wohlmayr M 2013 Pattern Recogn. 46 464

    [20]

    Florian C, Traverso P A, Santarelli A, Filicori F 2013 IEEE Trans. Instrum. Meas. 62 2857

  • [1]

    Wang C X 2010 IIE Trans. 35 11

    [2]

    Fuh YK, Hsu KC, Fan JR 2012 Opt. Lett. 37 848

    [3]

    Shahabi H H, Ratnam M M 2010 Int. J. Adv. Manuf. Technol. 46 275

    [4]

    Dainty J C 1984 Laser Speckle and Related Phenomena (Berlin: Spring-Verlag) p18, p29

    [5]

    Williams G, Pfeifer M, Vartanyants I, Robinson I 2003 Phys. Rev. Lett. 90 175501

    [6]

    Pierce M S, Moore R G, Sorensen L B, Kevan S D, Hellwig O, Fullerton E E, Kortright J B 2003 Phys. Rev. Lett. 90 175502

    [7]

    Zhang N Y Teng S Y, Song H S, Liu G Y, Cheng C F 2009 Chin. Phys. Lett. 26 034209

    [8]

    Briers D, Duncan D, Hirst E, Kirkpatrick S J, Larsson M, Steenbergen W, Thompson O B 2013 J. Biomed. Opt. 18 066018

    [9]

    Samtas G 2014 Int. J. Adv. Manuf. Technol. 73 353

    [10]

    Shimizu M, Sawano H, Yoshioka H 2014 Precis. Eng 38 1

    [11]

    Gao Z, ZhaoX Z 2011 Opt. Laser Eng. 50 668

    [12]

    Kayahan E, Oktem H, Hacizade F 2010 Tribol. Int. 43 307

    [13]

    Wu Y L, Wu Z S 2014 Chin. Phys. B 23 37801

    [14]

    Regan C, Ramirez-San-Juan J C, Choi B 2014 Opt. Lett. 39 5006

    [15]

    Zeng Y, Wang M, Feng G 2013 Opt. Lett. 38 1313

    [16]

    Song H S, Zhuang Q, Liu G Y, Qin X F, Chen C F 2014 Acta Phys. Sin. 63 094201 (in Chinese) [宋洪胜, 庄桥, 刘桂媛, 秦希峰, 程传福 2014 物理学报 63 094201]

    [17]

    Françon M 2012 Laser speckle and applications in optics (Elsevier) p56

    [18]

    Bunge, H J 2013 Texture analysis in materials science: mathematical methods (Elsevier) p23

    [19]

    Pernkopf F, Wohlmayr M 2013 Pattern Recogn. 46 464

    [20]

    Florian C, Traverso P A, Santarelli A, Filicori F 2013 IEEE Trans. Instrum. Meas. 62 2857

  • [1] 罗进宝, VasiliyPelenovich, 曾晓梅, 郝中华, 张翔宇, 左文彬, 付德君. 离子剂量比在气体团簇多级能量平坦化模式中的作用. 物理学报, 2021, 70(22): 223601. doi: 10.7498/aps.70.20202011
    [2] 张冉, 常青, 李桦. 气体-表面相互作用的分子动力学模拟研究. 物理学报, 2018, 67(22): 223401. doi: 10.7498/aps.67.20181608
    [3] 王建国, 杨松林, 叶永红. 样品表面银膜的粗糙度对钛酸钡微球成像性能的影响. 物理学报, 2018, 67(21): 214209. doi: 10.7498/aps.67.20180823
    [4] 程广贵, 张忠强, 丁建宁, 袁宁一, 许多. 石墨表面熔融硅的润湿行为研究. 物理学报, 2017, 66(3): 036801. doi: 10.7498/aps.66.036801
    [5] 宋延松, 杨建峰, 李福, 马小龙, 王红. 基于杂散光抑制要求的光学表面粗糙度控制方法研究. 物理学报, 2017, 66(19): 194201. doi: 10.7498/aps.66.194201
    [6] 宋永锋, 李雄兵, 史亦韦, 倪培君. 表面粗糙度对固体内部超声背散射的影响. 物理学报, 2016, 65(21): 214301. doi: 10.7498/aps.65.214301
    [7] 王宇翔, 陈硕. 微粗糙结构表面液滴浸润特性的多体耗散粒子动力学研究. 物理学报, 2015, 64(5): 054701. doi: 10.7498/aps.64.054701
    [8] 马靖杰, 夏辉, 唐刚. 含关联噪声的空间分数阶随机生长方程的动力学标度行为研究. 物理学报, 2013, 62(2): 020501. doi: 10.7498/aps.62.020501
    [9] 柯川, 赵成利, 苟富均, 赵勇. 分子动力学模拟H原子与Si的表面相互作用. 物理学报, 2013, 62(16): 165203. doi: 10.7498/aps.62.165203
    [10] 文侨, 王凯歌, 邵永红, 屈军乐, 牛憨笨. 基于偏振滤波图像增强和动态散斑照明的宽场荧光层析显微镜. 物理学报, 2013, 62(3): 034203. doi: 10.7498/aps.62.034203
    [11] 曹洪, 黄勇, 陈素芬, 张占文, 韦建军. 脉冲敲击技术对PI微球表面粗糙度的影响. 物理学报, 2013, 62(19): 196801. doi: 10.7498/aps.62.196801
    [12] 王娇, 周云辉, 黄玉清, 江虹. 基于贝叶斯网络的认知引擎设计与重配置. 物理学报, 2013, 62(3): 038402. doi: 10.7498/aps.62.038402
    [13] 黄晓玉, 程新路, 徐嘉靖, 吴卫东. Be原子在Be基底上的沉积过程研究. 物理学报, 2012, 61(9): 096801. doi: 10.7498/aps.61.096801
    [14] 马海敏, 洪亮, 尹伊, 许坚, 叶辉. 超亲水性SiO2-TiO2纳米颗粒阵列结构的制备与性能研究. 物理学报, 2011, 60(9): 098105. doi: 10.7498/aps.60.098105
    [15] 丁艳丽, 朱志立, 谷锦华, 史新伟, 杨仕娥, 郜小勇, 陈永生, 卢景霄. 沉积速率对甚高频等离子体增强化学气相沉积制备微晶硅薄膜生长标度行为的影响. 物理学报, 2010, 59(2): 1190-1195. doi: 10.7498/aps.59.1190
    [16] 谷锦华, 丁艳丽, 杨仕娥, 郜小勇, 陈永生, 卢景霄. 椭圆偏振技术研究VHF-PECVD高速沉积微晶硅薄膜的异常标度行为. 物理学报, 2009, 58(6): 4123-4127. doi: 10.7498/aps.58.4123
    [17] 周炳卿, 刘丰珍, 朱美芳, 周玉琴, 吴忠华, 陈 兴. 微晶硅薄膜的表面粗糙度及其生长机制的X射线掠角反射研究. 物理学报, 2007, 56(4): 2422-2427. doi: 10.7498/aps.56.2422
    [18] 侯海虹, 孙喜莲, 申雁鸣, 邵建达, 范正修, 易 葵. 电子束蒸发氧化锆薄膜的粗糙度和光散射特性. 物理学报, 2006, 55(6): 3124-3127. doi: 10.7498/aps.55.3124
    [19] 郭冠军, 邵 芸. 激光散斑效应对激光雷达探测性能的影响. 物理学报, 2004, 53(7): 2089-2093. doi: 10.7498/aps.53.2089
    [20] 郭冠军, 邵芸. 地面对激光雷达信号散射的统计研究. 物理学报, 2002, 51(2): 228-234. doi: 10.7498/aps.51.228
计量
  • 文章访问数:  6669
  • PDF下载量:  277
  • 被引次数: 0
出版历程
  • 收稿日期:  2015-06-05
  • 修回日期:  2015-07-16
  • 刊出日期:  2015-12-05

/

返回文章
返回