Ajou University repository

Development of a feature-recognition and measurement path generation system based on NURBS surfaces for 5-axis on-machine measurement
Citations

SCOPUS

4

Citation Export

Publication Year
2019-07-01
Publisher
Korean Society of Mechanical Engineers
Citation
Journal of Mechanical Science and Technology, Vol.33, pp.3445-3455
Keyword
Feature recognitionMeasurement pathMeasuring pointNURBS surfaceOn-machine measurement (OMM)
Mesh Keyword
Computer aided design systemsConversion processFeature recognitionMeasurement deviationsMeasuring pointsNon-uniform rational B-splinesNURBS surfaceOn-machine measurement
All Science Classification Codes (ASJC)
Mechanics of MaterialsMechanical Engineering
Abstract
On-machine measurement (OMM), which is used to measure the machined surfaces of a workpiece during or after the machining of the workpiece, enables direct measurement within the workspace without moving the workpiece. However, although the three-dimensional geometric shape created by computer-aided design systems include various features, because such features are converted into non-uniform rational B-spline (NURBS) surfaces during OMM, measurement deviation occurs between a feature and its corresponding NURBS surface. In this paper, we suggest a method to generate the measurement path for 5-axis OMM in a way that recognizes the features necessary for measurement from NURBS surfaces whose feature data set was removed during the conversion processes. To verify the reliability of the measurement path generation system named OMV+, which was developed using the above method, we carried out an experiment to compare the measurement path that defines the measuring point on the feature and the path that defines the measuring point on the NURBS surface with the measured result using the touch probe on the machined workpiece.
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/30802
DOI
https://doi.org/10.1007/s12206-019-0639-9
Fulltext

Type
Article
Funding
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2018R1D1A1 B07050199).
Show full item record

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Yang, Jeongsam Image
Yang, Jeongsam양정삼
Department of Industrial Engineering
Read More

Total Views & Downloads

File Download

  • There are no files associated with this item.