An Investigation of Burr formation and cutting parameter optimization in Micro Drilling of Brass C-360 using Image Processing

Pansari, Shashank and Mathew, Ansu and Nargundkar, Aniket (2017) An Investigation of Burr formation and cutting parameter optimization in Micro Drilling of Brass C-360 using Image Processing. In: International Conference on Data Engineering and Communication Technology, 06/12/2017, Symbiosis Institute of Technology, Pune.

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Abstract

A lot of research has been done in area of conventional micro-drilling but the measurement techniques for measuring burr size and holes circularity were either very expensive or inaccurate. This paper attempts to investigate role of input parameters like the Spindle Speed and the Feed Rate on burr height at hole exit, burr thickness and hole roundness in Brass C-360, which is a widely used material in micro-fabrication, using a new approach of image processing for SEM images of micro-drilled holes which makes the measurement simple, fast and accurate. All the experiments were conducted using Response Surface Methodology to develop second order polynomial models for Burr thickness and height of Burr at hole exit. Optimization Tool box in Genetic Algorithm and Cohort Intelligence Algorithm in MATLAB is done to generate optimum output results and additionally, results are analysed using response surface methodology contour and surface plots to investigate the individual as well as interactive variables affecting the output results.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Micro drilling, Response Surface Methodology, Image Processing, Genetic Algorithm, Cohort Intelligence
Subjects: Engineering > MIT Manipal > Mechatronics
Depositing User: MIT Library
Date Deposited: 13 Dec 2017 10:21
Last Modified: 13 Dec 2017 10:21
URI: http://eprints.manipal.edu/id/eprint/150233

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