Indian Journal of Science and Technology
Year: 2016, Volume: 9, Issue: Special Issue 1, Pages: 1-6
A. Chockalingam1 *, Suresh Kumar Jyothula2 and V. Elango3
1Faculty of Mechanical Department, A. M. K. Technological Polytechnic College, Chennai - 600123, Tamil Nadu, India; [email protected]
2 Jawaharlal Nehru Technological University, Hyderabad - 500085, Telengana State, India; [email protected]
3 Eswari Engineering College, Chennai - 600089, Tamil Nadu, India; [email protected]
*Author for correspondence
Faculty of Mechanical Department
Objective: In the manufacturing industry, the surface roughness places a vital role to make a quality product. The surface roughness is measured by line contact and non-contact methods till now. In this paper, we propose a non-contact method of surface roughness measurement using the optical coherent method. Methods/Statistical Analysis: In the optical coherent method, a radial basis algorithm is used. So far surface roughness is evaluated for an overall region of the material. The standard specimen image was taken using web camera and processed, analysed and compared with the images of the specimen to be tested using MATLAB software. Findings: By using a radial basis algorithm, we found that micro irregularities surfaces in the material are detected, and depth of penetration of lights over the material will detect the micro irregularities and measure the surface roughness automatically. Application/Improvements: Here the images were taken using web camera having Complementary Metal Oxide Semiconductor (CMOS) sensor that can be replaced by taking images using a high resolution Charged Coupled Devices (CCD) camera to improve the accuracy of results. Now a days, smart cameras are available in the market, hence the speed of the processing the images can be achieved.
Keywords: Machine Vision; MATLAB Software; PIC Microcontroller; Pneumatic Control System
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