Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/23037
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dc.titleA Hybrid Digitization Mehtod For Reverse Engineering
dc.contributor.authorWANG YUE
dc.date.accessioned2011-06-10T18:00:39Z
dc.date.available2011-06-10T18:00:39Z
dc.date.issued2007-01-28
dc.identifier.citationWANG YUE (2007-01-28). A Hybrid Digitization Mehtod For Reverse Engineering. ScholarBank@NUS Repository.
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/23037
dc.description.abstractMethods for acquiring shape data generally can be classified into contact and non-contact. It is preferable to combine the use of scanner and CMM for digitisation. In this thesis, a hybrid digitization method is developed. Firstly, a filtering algorithm is developed that is able to thin the merged data points by eliminating noise and spurious data points with a user controlled tolerance bound. Secondly, we applied a region growing based triangulation algorithm to this set of thinned cloud data to form a triangular meshed surface model, with explicit feature information (boundaries & holes). Finally, we developed an algorithm to generate the probe paths for a CMM to recapture the key features of the object based on the information obtained from the triangulation process. Algorithms for the developed methods have been implemented using C/C++ on the OpenGL platform. Simulation results and actual case studies demonstrate the efficacy of the algorithms.
dc.language.isoen
dc.subjectReverse engineering, Data acquisition, Surface fitting, Data thinning, Triangulation, Probe path planning
dc.typeThesis
dc.contributor.departmentMECHANICAL ENGINEERING
dc.contributor.supervisorZHANG YUNFENG
dc.contributor.supervisorLOH HAN TONG
dc.description.degreeMaster's
dc.description.degreeconferredMASTER OF ENGINEERING
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Master's Theses (Open)

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