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A Curve Network Sampling Strategy for Measurement of Freeform Surfaces on Coordinate Measuring Machines
- Source :
- IEEE Transactions on Instrumentation and Measurement. 66:3032-3043
- Publication Year :
- 2017
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2017.
-
Abstract
- One of the essential problems in the measurement of the freeform surfaces on a coordinate measuring machine is to design appropriate sampling plans to improve the industrial practice in terms of the tradeoff between the sampling accuracy and the efficiency. This paper presents a curve network sampling strategy to approximate the measured surface within a required accuracy while minimizing the cost and time for the measurement by adaptively deriving the optimal sampling locations. The method iteratively extracts two sets of iso-planar curves along two different directions on the parts to form a curve network, which is used to reconstruct the measured surfaces based on the Gordon surface fitting method. Two criteria are integrated to determine the locations of the sampled curves in the sampling process, including the surface complexity and the deviation of the reconstructed surfaces from the CAD model. Both the computer simulation and the actual measurement are conducted to verify the superior sampling efficiency of the proposed method to the conventional raster fashion sampling in measuring freeform surfaces.
- Subjects :
- Surface (mathematics)
0209 industrial biotechnology
business.industry
020208 electrical & electronic engineering
Curve network
Sampling (statistics)
CAD
02 engineering and technology
Solid modeling
computer.file_format
Coordinate-measuring machine
020901 industrial engineering & automation
0202 electrical engineering, electronic engineering, information engineering
Computer vision
Artificial intelligence
Electrical and Electronic Engineering
Raster graphics
business
Instrumentation
computer
Surface reconstruction
ComputingMethodologies_COMPUTERGRAPHICS
Mathematics
Subjects
Details
- ISSN :
- 15579662 and 00189456
- Volume :
- 66
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Instrumentation and Measurement
- Accession number :
- edsair.doi...........050a7a088ad83b79c2b0ec365fe02a10