Earticle

초록

영어

For Parts of complex structures with multiple characteristics, traditional methods are often difficult and inefficient, so the three-dimensional detection techniques have been developed. But the detection used for the complex structural components still get some problems, such as : it’s difficult to collect data of complex structural components in the data collection process, because of size is always limited ; features of parts retained difficultly in data processing; there are many iterations and calculations in the optimization algorithm of geometric error evaluation, and the search direction is blind. In this paper, the improved colony algorithm is used to get the cylindrical error by establishing the mathematical model with the point cloud data that has been processed. First, collect data acquisition of more structural parts with hand-held laser scanners; Secondly, denoise and streamline the raw point cloud collected before, and then make registration and alignment with the actual CAD model of part; Finally, according to the resultant point cloud data above, in accordance with the principle of minimum condition assessment, establish evaluation model of cylinder error based on improved bee colony algorithm. Experimental results show that for various structural parts, the precision of this detection method is high enough, and detecting speed is also fast.

목차

Abstract
 1. Introduction
 2. Acquisition of Complex Structure Parts Point Cloud Data
 3. Cloud Data Process of Complex Parts
  3.1. Noise point process
  3.2. Hybrid Simplification Based on Curvature Reduction
  3.3. Compound Algnment based on Feature Alignment
 4. Error Evaluation of Complex Parts
  4.1. 3D Error Comparisons of Complex parts
  4.2. Error Evaluation of the Circular Cylinder based on the improved bee Colony Algorithm
 5. Conclusion
 References

키워드

저자

• Jianghua Ge [ Machinery and Power Engineering College Harbin University of Science and Technology, Harbin, China ]
• Huihui Zhang [ Machinery and Power Engineering College Harbin University of Science and Technology, Harbin, China ]
• Yaping Wang [ Machinery and Power Engineering College Harbin University of Science and Technology, Harbin, China ]
• Xiulin Sui [ Machinery and Power Engineering College Harbin University of Science and Technology, Harbin, China ]
• Yongguo Sun [ Machinery and Power Engineering College Harbin University of Science and Technology, Harbin, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Security and Its Applications

• 간기

  격월간

• pISSN

  1738-9976

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605