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High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
Published on: December 3, 2013
Estimation of measurement uncertainties using virtual fringe projection technique
Klaus Haskamp1, Markus Kästner, Christoph Ohrt
1Work Group Production Metrology, Leibniz Universität Hannover, Germany. klaus.haskamp@imr.uni-hannover.de
Applied Optics
|April 17, 2012
Summary
Quality testing requires precise geometric part inspection. Virtual measurement techniques estimate uncertainty, reducing costs and operator influence compared to traditional methods.
Area of Science:
- Metrology
- Quality Control
- Optical Measurement Systems
Background:
- Quality testing necessitates geometric part inspection within tolerance ranges.
- Traditional uncertainty of measurement determination (Method A of GUM) is costly and time-consuming.
- Virtual measurement offers a potential alternative for efficient uncertainty estimation.
Purpose of the Study:
- To evaluate virtual measurement techniques for estimating uncertainty of measurement.
- To compare uncertainty estimations from virtual fringe projection systems with traditional methods (GUM Method A).
- To develop a method for optimizing measurement positions to minimize uncertainty.
Main Methods:
- Utilized a virtual fringe projection system for uncertainty estimation.
- Employed virtual measurement techniques based on GUM Method B.
- Compared virtual system results with a real measurement system using GUM Method A.
- Developed an algorithm to calculate optimal measurement positions.
Main Results:
- Virtual measurement techniques provide a viable alternative for estimating measurement uncertainty.
- The virtual fringe projection system's uncertainty estimation was comparable to GUM Method A.
- The proposed method enables calculation of optimal measurement positions for minimized uncertainty.
- Operator influence on measurement uncertainty can be significantly reduced.
Conclusions:
- Virtual measurement, particularly using fringe projection, offers an efficient approach to uncertainty estimation in quality testing.
- Optimizing measurement positions through virtual techniques enhances accuracy and reduces operator dependency.
- This method presents a cost-effective and time-saving alternative to traditional uncertainty assessment.
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