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Surface Roughness Minimization for Cutting Glass Using Hot Air by Crack Propagation Method Using Taguchi’s Design of Experiments

Anurag, Rathindra and Shetty, Raviraj and Nayak, Rajesh and Keni, Laxmikanth (2009) Surface Roughness Minimization for Cutting Glass Using Hot Air by Crack Propagation Method Using Taguchi’s Design of Experiments. In: Proceedings International Conference on Science, Technology and Innovation for Sustainable Well-Being, 23-24 July 2009, Mahasarakham University, Thailand.

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Abstract

Glass is a typically hard and brittle material, which can be easily cut by introducing thermal stress on an artificially created crack. Although the cutting of these materials is one of the most important processes for production, it has the disadvantage that when it is carried out by saws, bits and grinders, it is accompanied by the undesirable phenomena of the generation of noise, dust and scrap. The basic principle of hot air cutting by crack propagation method is that a jet of hot air is allowed to fall on the glass plate at the point were there is an artificial crack. As the temperature increases the crack propagate along the travel of the hot air or the surface of glass plate. In the view of understanding the problem an Aristo robot with 6 degrees of freedom attached externally with a electric heater, compressor and a nozzle on the end effector has been designed and fabricated. Experiments has been carried out on effect of surface roughness on different air pressure, air temperature, distance between nozzle and surface of glass, nozzle diameter and glass thickness using Taguchi’s design of experiments. By the Taguchi’s design of experiments, a complete realization of the process parameters and their effects were achieved. The Taguchi design of experiments has not been used in glass cutting by other researchers. An L27 Taguchi standard orthogonal array was chosen for the design of experiments. The level of importance of the machining parameters on the surface roughness was determined by using Analysis Of Variance (ANOVA). The optimum machining parameters combination was obtained by using the analysis of Signal-To-Noise (S/N) ratios.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Engineering ceramics, Surface topography, Surface analysis, other manufacturing processes
Subjects: Engineering > MIT Manipal > Mechanical and Manufacturing
Depositing User: MIT Library
Date Deposited: 03 Dec 2014 09:08
Last Modified: 03 Dec 2014 09:08
URI: http://eprints.manipal.edu/id/eprint/140856

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