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Parametric optimization on hot air assisted hybrid machining of soda-lime glass using Taguchi based grey relational analysis
The present research underlines the development of a hybrid method for the machining of soda-lime glass known as the hot air assisted hybrid machining. It is a combination of conventional machining assisted with the jet of hot air. The influence of process variables such as feed of the cutting tool,...
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Published in: | Multiscale and Multidisciplinary Modeling, Experiments and Design Experiments and Design, 2021-09, Vol.4 (3), p.169-185 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | The present research underlines the development of a hybrid method for the machining of soda-lime glass known as the hot air assisted hybrid machining. It is a combination of conventional machining assisted with the jet of hot air. The influence of process variables such as feed of the cutting tool, flow of hot air, depth of cut, and the air temperature on the material removal rate (MRR) and surface roughness (
R
a
) applied to the grooving operation have been investigated. The Taguchi orthogonal array
L
27
was considered to reduce the number of experiments. The ANOVA was used to recognize the major influencing process parameters for the MRR and
R
a
. The results of ANOVA indicate that the air temperature is the most significant parameter for the objective of maximum MRR and minimum
R
a
with contributions ratios of 56.91% and 52.68% respectively for the grooving operation on soda-lime glass. The optimal machining parameters for the maximum MRR and minimum
R
a
were found to be A
1
–B
1
–C
3
–D
3
and A
1
–B
1
–C
1
–D
3
respectively. The multi-objective optimization was performed using the Taguchi based grey relational analysis (GRA). The optimal level of parameters based on GRA for maximum MRR and minimum
R
a
was found to be A
1
–B
1
–C
3
–D
3
. In addition, the material removal process was explained with the help of SEM micrographs
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ISSN: | 2520-8160 2520-8179 |
DOI: | 10.1007/s41939-020-00085-z |