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A Method for Rapid Detection and Evaluation of Position Errors of Patterns of Small Holes on Complex Curved and Freeform Surfaces
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  • A Method for Rapid Detection and Evaluation of Position Errors of Patterns of Small Holes on Complex Curved and Freeform Surfaces
  • A Method for Rapid Detection and Evaluation of Position Errors of Patterns of Small Holes on Complex Curved and Freeform Surfaces
저자명
Chen. Xiaomei,Longstaff. Andrew,Parkinson. Simon,Myers. Alan
간행물명
International journal of precision engineering and manufacturing
권/호정보
2014년|15권 2호|pp.209-217 (9 pages)
발행정보
한국정밀공학회
파일정보
정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

This paper presents an evaluation method for the rapid and automatic detection of position errors of arrays of small holes on complex-curved and freeform surfaces that can satisfy the special demands of the aviation and automobile industries. The evaluation is based on the dual-sensor autofocusing method. The dual-sensor unit is the combination of a tactile probe and an optical vision sensor. The tactile probe detects the focal position for the optical vision sensor by probing the distance between the objective lens of the microscope and the location of each small hole. The optical vision sensor focuses to this position for capturing the image of the artifact under inspection. As a case study, a pattern of ${phi}$ 0.5 mm small holes centripetally drilled with equal-angular distribution on the circumference of an elliptical cylinder shell is investigated. The autofocusing errors caused by the radius of the tactile probe and the position errors of the small holes are evaluated mathematically. Subsequently, a standalone dual-sensor autofocusing unit is built and integrated into a user-controllable 3D coordinate test rig. It is used to autofocus and capture the images of small holes. The centroid positions and deviations of the holes are automatically and rapidly detected from the captured images.