期刊文献+

复杂曲面工件的超声无损检测系统研制 被引量:14

Development of Ultrasonic Non-destructive Test Systems for Complex Curved Surface Parts
下载PDF
导出
摘要 为了实现大型复杂曲面工件的自动化缺陷检测,开发了超声无损检测机器人系统。论述了复杂曲面工件的超声检测原理、检测机器人系统模型、分布式的系统控制模式。工件检测试验表明,该系统具有较好的稳定性、可靠性,检测精度高、效率高,能达到工业生产的要求,在大型复杂曲面工件的超声检测中有良好的应用前景。 In order to realize automatic flaw detect for the large--scale complex curved surface parts, ultrasonic non-destructive test systems had been developed. The principles of ultrasonic test for complex curved surface parts, the models of robot systems and the distributed control patterns had been discussed in detail. The testing results indicate that this system possesses better stability and higher reliability, and have higher precision and higher efficiency, and achieves the requirements of industrial production, and it would have good application foreground for ultrasonic tests of large-scale complex curved surface parts.
机构地区 浙江大学
出处 《中国机械工程》 EI CAS CSCD 北大核心 2005年第18期1622-1625,共4页 China Mechanical Engineering
关键词 复杂曲面工件 超声 无损检测 分布式体系 complex curved surface part ultrasonic non-destructive test distributed architecture
  • 相关文献

参考文献8

二级参考文献7

  • 1孔凡庚.从第14届世界夫损检测会议看射线检测技术的应用和发展[J].无损检测,1997,19(11):328-330.
  • 2[2]Lee A K T, Lucas J, Virv L E. Microcomputer-controlled Acoustic Rangefinding Technique.J.Phys.E:Sci.Instrum,1989,22(1):52~58
  • 3[3]Hidetoshi N, Tsutomu D.Ultrasonic Position Measurement and Its Applications to Human Interface. IEEE Trans.Instrum.Meas,1995,44(3):771~774[4] Varady T, Martin R R,Cox J. Reverse Engineering of Geometric Models-an Introduction.CAD,1997,29(4): 255~268
  • 4[4]Chen Xin, Francis S.Surfae Modeling of Range Data by Constrained Triangkulation.CAD,1994,26(8):632~645
  • 5[5]Park H, Kim K. An Adaptive Method for Smooth Surface Approximation to Scattered 3D Points.CAD,1995,27(12):929~939
  • 6Meng C H, Yau H T, Lai G Y. Automated Precision Measurement of Surface Profile in CAD--directed Inspection. IEEE Trans on Robotics and Automation, 1992, 8(2): 268-278.
  • 7崔汉锋,许鹏,陈吉红,林奕鸿.反求工程在无损检测中的应用研究[J].机械与电子,2000,18(4):57-59. 被引量:3

共引文献83

同被引文献65

引证文献14

二级引证文献20

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