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Feature Recognition for Digitizing Path Generation in Reverse Engineering  

Kim Seung Hyun (영남대학교 기계공학과 대학원)
Kim Jae Hyun (영남대학교 기계공학과 대학원)
Park Jung Whan (영남대학교 기계공학과)
Ko Tae Jo (영남대학교 기계공학부)
Publication Information
Journal of the Korean Society for Precision Engineering / v.21, no.12, 2004 , pp. 100-108 More about this Journal
Abstract
In reverse engineering, data acquisition methodology can generally be categorized into contacting and non-contacting types. Recently, researches on hybrid or sensor fusion of the two types have been increasing. In addition, efficient construction of a geometric model from the measurement data is required, where considerable amount of user interaction to classify and localize regions of interest is inevitable. Our research focuses on the classification of each bounded region into a pre-defined feature shape fer a hybrid measuring scheme, where the overall procedures are described as fellows. Firstly, the physical model is digitized by a non-contacting laser scanner which rapidly provides cloud-of-points data. Secondly, the overall digitized data are approximated to a z-map model. Each bounding curve of a region of interest (featured area) can be 1.aced out based on our previous research. Then each confined area is systematically classified into one of the pre-defined feature types such as floor, wall, strip or volume, followed by a more accurate measuring step via a contacting probe. Assigned to each feature is a specific digitizing path topology which may reflect its own geometric character. The research can play an important role in minimizing user interaction at the stage of digitizing path planning.
Keywords
Feature; Recognition; Freeform surface; Reverse engineering;
Citations & Related Records
Times Cited By KSCI : 7  (Citation Analysis)
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