NDLI: Optimization of process parameters in drilling of fibre hybrid composite using Taguchi and grey relational analysis

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Optimization of process parameters in drilling of fibre hybrid composite using Taguchi and grey relational analysis

Content Provider	Scilit
Author	Ramnath, B. Vijaya Sharavanan, S. Jeykrishnan, J.
Copyright Year	2017
Description	Journal: Iop Conference Series: Materials Science and Engineering Nowadays quality plays a vital role in all the products. Hence, the development in manufacturing process focuses on the fabrication of composite with high dimensional accuracy and also incurring low manufacturing cost. In this work, an investigation on machining parameters has been performed on jute-flax hybrid composite. Here, the two important responses characteristics like surface roughness and material removal rate are optimized by employing 3 machining input parameters. The input variables considered are drill bit diameter, spindle speed and feed rate. Machining is done on CNC vertical drilling machine at different levels of drilling parameters. Taguchi's L16 orthogonal array is used for optimizing individual tool parameters. Analysis Of Variance is used to find the significance of individual parameters. The simultaneous optimization of the process parameters is done by grey relational analysis. The results of this investigation shows that, spindle speed and drill bit diameter have most effect on material removal rate and surface roughness followed by feed rate.
Related Links	http://iopscience.iop.org/article/10.1088/1757-899X/183/1/012003/pdf
ISSN	17578981
e-ISSN	1757899X
DOI	10.1088/1757-899x/183/1/012003
Journal	Iop Conference Series: Materials Science and Engineering
Issue Number	1
Volume Number	183
Language	English
Publisher	IOP Publishing
Publisher Date	2017-03-10
Access Restriction	Open
Subject Keyword	Journal: Iop Conference Series: Materials Science and Engineering Surface Roughness Grey Relational Analysis
Content Type	Text
Resource Type	Article

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