ISSN:
1013-9826
Source:
Scientific.Net: Materials Science & Technology / Trans Tech Publications Archiv 1984-2008
Topics:
Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
Notes:
In this paper, the 3D morphology of a grinding wheel was modeled by the depth fromfocus. Firstly, the picture information of different heights was extracted by the up-down moving ofthe microscope. The operator Laplacian was adopted to distinguish the distinct and fuzzy areas in apicture. Then, the distinct image and height information was obtained. The information of heightwas distorted due to the occurrence of noise. In order to reconstruct 3D surface, a method based onMin/Max curvature flow was developed to remove noises. In the end, an abrasive grain in the imageof a grinding wheel was segmented by the Mumford-Shah model. The results could be furtherdeveloped to evaluate the worn status of grinding wheels. IntroductionThe examination of the wear of abrasive grain in the grinding wheel is very important forevaluation of performance of diamond grinding wheel. The three-dimensional (3D) reconstructionof grinding wheel topography can provide more information about wear of abrasive grains thancommon ways such as observation by optical microscope. Nowadays, there have been manytechniques to be considered to obtain 3D data, for example, profilometry, the scanning electronmicroscope (SEM), the scanning laser microscope (SLM), stereo vision and so on. SEM is apowerful measuring tool, but the time needed for sample coating process and chamber air pumpingis considerable. SLM is promising tool for 3D shape modeling, but still expensive for most of users.Stereo vision is simple and quick method to obtain the height information, but only the height ofpoints which match in two corresponding images could been obtained.In this paper, a new method based on depth from focus (DFF) [1] is presented for 3D modeling.Compared with SEM and SLM, it is easy and not very expensive equipments are needed.Meanwhile, it can provide more real 3D model than stereo vision method. In order to measure theabrasive grains, a segmentation Algorithms based on Mumford-Shah model [4] is introduced todivide the grains from image of grinding wheel
Type of Medium:
Electronic Resource
URL:
http://www.tib-hannover.de/fulltexts/2011/0528/01/55/transtech_doi~10.4028%252Fwww.scientific.net%252FKEM.359-360.504.pdf
