Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/14982
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dc.contributor.authorShivanna, D M-
dc.contributor.authorKiran, M B-
dc.contributor.authorKavitha, S D-
dc.date.accessioned2024-03-30T10:11:01Z-
dc.date.available2024-03-30T10:11:01Z-
dc.date.issued2014-
dc.identifier.citationVol. 5; pp. 2132-2141en_US
dc.identifier.issn2211-8128-
dc.identifier.urihttp://dx.doi.org/10.1016/j.mspro.2014.07.416-
dc.identifier.urihttp://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/14982-
dc.description.abstractSurface roughness evaluation is very important for many fundamental problems such as friction, contact deformation, tightness of contact joints positional accuracy etc. Many techniques have been developed for measuring surface finish ranging from the simple touch comparator to sophisticated optical techniques. In recent years, the advent of high-speed general-purpose digital computers and vision systems has made image analysis easier and more flexible. Unlike the stylus instruments, computer vision systems have the advantages of being non-contact and are capable of measuring an area from the surface rather than a single line. A vision system is considered relatively cheap, fast and suitable for automation. Work pieces are prepared with varied roughness using manufacturing process of EDM and subjected to different machining parameters such as variable current and voltage. The proposed method used vision system. Vision system consists of a CCD camera, frame grabber, advanced image processing card and a high end computer. The surface images are grabbed using CCD camera and then transferred to the computer memory through frame grabber. An image processing algorithm is prepared using MATLAB. The surface roughness parameter values (3D) obtained by Vision system are then compared with those obtained by Optical method. Strong correlation is obtained between the vision roughness and optical roughness parameters. Hence the proposed method can be used in the assessment of 3D surface finish. The complete analysis of results is presented in this work. (C) 2014 Elsevier Ltden_US
dc.language.isoenen_US
dc.publisherInternational Conference on Advances In Manufacturing and Materials Engineering (Icamme 2014)en_US
dc.publisherElsevier Science Bven_US
dc.subjectVision Systemen_US
dc.subjectNon-Contact Measurementen_US
dc.subject3D Surface Roughnessen_US
dc.subjectFrame Grabberen_US
dc.titleEvaluation of 3D Surface Roughness Parameters of Edm Components Using Vision Systemen_US
dc.typeArticleen_US
Appears in Collections:Conference Papers

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