Evaluation of Surface Roughness of Machined Components using Machine Vision Technique

  Manjunatha,  Dr R Rajashekar,  Dr B M Rajaprakash,  Naveen S,  Mohan G

The machined components produced by different machining process have different surface roughness characteristics. Surface roughness evaluation is very important for many fundamental problems such as contact deformation, tightness of contact joints and positional accuracy etc. Contact stylus roughness measurement is widely used for measuring surface roughness which may lead to scratches on machined surfaces and more time-consuming inspection process. Machine vision is the one of the noncontact surface roughness measuring technique which is being noncontact, reliable and accurate with low cost. This technique provides imaging based automatic inspection, process control and robot guidance in manufacturing industries. In this work the analysis and measurement of surface roughness of Aluminium-6061-T6 specimens which are prepared on EDM, CNC milling and surface grinding machines by varying input parameters are carried out. The effect of machining parameters on surface roughness of EDM, CNC milling and grinding machined specimens are analyzed by evaluating their surface roughness using contact stylus method. The low-cost noncontact Machine Vision technology was investigated as alternate method for evaluation of surface roughness. The digital images of machined surfaces were captured using suitable lighting and camera. The images are processed to enhance their quality and analyzed to determine image optical parameters such as Standard Deviation, Root Mean Square and Mean to evaluate surface roughness using MATLAB software. The image optical parameters determined to evaluate surface roughness shows good correlation with surface roughness parameter “Ra”, which is determined by contact stylus method. Machine Vision technique can be used as automated inspection method to evaluate surface roughness of machined components either online/offline.

Keywords- EDM, CNC milling, Surface grinding, MATLAB, Machine Vision, Non contact, surface roughness, Image processing.

Unique Identification Number - IJEDR1704203
Page Number(s) - 1256-1263
Pubished in - Volume 5 | Issue 4 | December 2017
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Manjunatha,  Dr R Rajashekar,  Dr B M Rajaprakash,  Naveen S,  Mohan G,   "Evaluation of Surface Roughness of Machined Components using Machine Vision Technique", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 4, pp.1256-1263, December 2017, Available at :http://www.ijedr.org/papers/IJEDR1704203.pdf