期刊文献+

复合式检测装置在加工中心在线检测中的应用 被引量:4

Application of composite inspecting equipment in on-line inspection of machining centre
下载PDF
导出
摘要 为了提高加工中心对复杂工件尺寸的检测效率,提出一种新的加工中心在线复合式检测设计方案,该方案着重论述了检测系统结构、工作原理及软件实现方法等内容。首先基于非接触和接触式检测原理,设计了可以集成于加工中心刀库的复合嵌入式检测装置;进而提出复合式检测的判据,在工件加工过程中,针对不同的检测要求选用不同检测方式,既满足了加工件各特征的检测精度要求,又缩短了工件的整体加工检测周期,提高了在线检测效率;最后通过复合式检测数据融合和后处理数据分析,给出工件特征的加工质量分析报告。为了检验该方案的可行性,以步距规为检测对象,根据步距规的使用参数和精度特征,经复合式检测后,生成了二维和三维工件特征的检测结果,证明了该设计方案的合理性,为加工中心在线检测技术提供了一种新的方法。 To improve inspection efficiency of machining centre for complex workpiece size, an on-line composite in- specting design method in machine centre was presented, which focused on the structure, working principles and software implementation of the inspection system. Based on the principles of non-contact and contact inspection, a composite inspection equipment with embedding function was designed which could be integrated in tool magazine. Thus the criterion of composite inspection was proposed. To satisfy the inspection accuracy demands for different features of workpieces and reduce the entire process cycle, different inspection modes were selected for different de- mands in machining process, which significantly improved on-line inspecting efficiency. Through the data fusion and the post-process data analysis, the machining quality analysis report for workpieces was given. To prove the method's validity and feasibility, a step gauge was taken as an object to generate 2D and 3D inspection results ac- cording to the operation parameters and the precision features, and the rationality of proposed method was validated. It provided a new method for on-line inspection of machining center.
出处 《计算机集成制造系统》 EI CSCD 北大核心 2013年第3期577-587,共11页 Computer Integrated Manufacturing Systems
基金 国家科技重大专项资助项目(2009zx04001-021) 中央高校基本科研业务费资助项目(2011QN120 2011QN122) 大连市企业信息化补助资金资助项目(2009-1-206-XXCYJ-QYXX)~~
关键词 加工中心 在线检测 非接触检测 接触式检测 machining centre on-line inspection non-contact inspection contact inspection
  • 相关文献

参考文献11

  • 1HOLLINGUM J. Renishaw automate programming and ma- chining to micron accuracy [J]. ASME Journal of Engineering for Industry, Sensor Review, 1997, 17(3): 223-230.
  • 2KIM K D, CHUNG S C. Synthesis of the measurement sys- tem on the machine tool [J]. International Journal of Produc- tion Research, 2001, 39(11) .. 2475-2497.
  • 3刘丽冰,桑宏强,陈英姝,张红梅,田大伟.用于加工中心的在线检测新方法研究[J].新技术新工艺,2005(11):16-18. 被引量:18
  • 4桑宏强,刘丽冰,刘芬,部云超.触发式测头在确定工件坐标系中的应用[J].机床与液压,2009,37(8):169-170. 被引量:10
  • 5周富强,王飞,张广军.结构光直线光条图像特征的三步法提取[J].机械工程学报,2008,44(11):215-219. 被引量:14
  • 6ZHANG G J, WEI Z Z. A novel calibration approach to structured light 3D vision inspection [J]. Optics and Laser Technology, 2002, 34(5): 373-380.
  • 7李剑,王文,王恒奎,陈子辰.自由曲面非接触式测量路径规划及相关算法研究[J].计算机辅助设计与图形学学报,2002,14(4):301-305. 被引量:8
  • 8AINSWORTH I, RISTIC M, BRUJIC D. CAD-based meas- urement path planning for free-form shapes using contact probes [J]. International Journal of Advanced Manufacturing Technology, 2000, 16(1): 23-31.
  • 9BESL P J, MCKAY N D. A method for registration of 3D shapes [J].IEEE Transactions on Pattern Analysis and Ma- chine Intelligence, 1992, 14(2): 239-256.
  • 10GREGORY C S, SANG W L, DAVID K W. ICP registration using invariant features [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002, 24(1): 90-102.

二级参考文献29

  • 1曹利波.利用激光干涉仪对机床定位精度的快速检测[J].红外与激光工程,2008,37(S1):200-202. 被引量:19
  • 2高猛,李铁民,尹文生,段广洪.一种基于相关性分析的并联机床标定方法[J].机械工程学报,2005,41(1):88-92. 被引量:3
  • 3张敏.基于激光干涉仪的数控机床几何误差检测与辨识[J].机械工程师,2006(9):76-78. 被引量:14
  • 4王明强.特征的定义与实例[J].机械设计与制造,1996(5):15-16. 被引量:3
  • 5吴大任.微分几何讲义[M].北京:人民教育出版社,1982..
  • 6张国雄.误差修正--提高坐标测量机精度的重要方向[J].机床,1986,(8):37-39.
  • 7YANG C S, CURTIS P, PAYEUR P. Calibration of an integrated robotic multimodal range scanner[J]. IEEE Transactions on Instrumentation and Measurement, 2006, 55(4): 1 148-1 159.
  • 8DEMEYERE M, RURIMUNZU D, EUGENE C. Diameter measurement of spherical objects by laser triangulation in an ambulatory context[J].IEEE Transactions on Instrumentation and Measurement, 2007, 56(3): 867-872.
  • 9FOREST J. New methods for triangulation-based shaped acquisition using laser scanners[D]. Spain: University of Girona, 2004.
  • 10LAVOIE P, IONESCU D, PETRIU E M. 3-D object model recovery from 2-D Images using structured light[J].IEEE Transaction on Instrumentation and Measurement, 2004, 53(2): 437-442.

共引文献99

同被引文献35

引证文献4

二级引证文献4

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部