Paper
6 March 2015 The system of blade's shape measuring
Author Affiliations +
Proceedings Volume 9446, Ninth International Symposium on Precision Engineering Measurement and Instrumentation; 94460K (2015) https://doi.org/10.1117/12.2087596
Event: International Symposium on Precision Engineering Measurement and Instrumentation, 2014, Changsha/Zhangjiajie, China
Abstract
System that will allow visual and measuring control of blades is proposed. It based on triangulation method of measurement. This method implies using of elements described below: a receiving unit, source of structured light, processing and control unit, the monitor and power supply unit. Geometrical characteristics of the system are calculated. As a result we got numbers of receiving units and sources of structured light needed to monitor blade along its entire length. Theoretical error of system measurement is calculated. It depends on distance to the object, the base between receives unit and sources of structured light, resolution and physical size of image receive. Surface of blade is not flat this fact entails changing distance from object to receive unit. So the error of measurement will be different. The interval for researching was chosen from 90 to 130 mm. Error of measurement have steady upward trend from 0,08 to 0,017 mm all period between chosen distances. The physical model of control method is developed. As a result of its working picture of illuminated metal object was obtained. The program written in MatLab processes experimental picture, find lines of structure light and calculate dislocations of it. Then use this information to make a three-dimensional model of object.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alexey A. Gorbachev, Valery V. Korotaev, and Dmitri V. Apehtin "The system of blade's shape measuring", Proc. SPIE 9446, Ninth International Symposium on Precision Engineering Measurement and Instrumentation, 94460K (6 March 2015); https://doi.org/10.1117/12.2087596
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
3D modeling

Receivers

Structured light

Metals

Light

Image processing

Cameras

Back to Top