Investigation on Surface Roughness of Drilled Holes in Nanoparticle Filled Polymer Matrix Composites

R. Pramod; S. Basavarajappa; G.B. Veeresh Kumar

doi:10.4028/www.scientific.net/AST.105.68

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HomeAdvances in Science and TechnologyAdvances in Science and Technology Vol. 105Investigation on Surface Roughness of Drilled...

Investigation on Surface Roughness of Drilled Holes in Nanoparticle Filled Polymer Matrix Composites

Abstract:

The utilization of nanoparticle filled composite materials in many different engineering fields has undergone a tremendous increase. Accordingly, the need for accurate machining of composites has increased enormously. In the present study, an attempt has been made to assess the factors influencing surface roughness on the machining of nanocomposites and base composites. The Taguchi L16 experimental design concept has been used for experimentation. The drilling experiments were conducted considering spindle speed, drill tool diameter, and feed rate as machining parameters. The empirical model was developed based on the input parameters. Analysis of Variance (ANOVA) established the relation between predicted and experimental values. The regression model was found to be within the level of confidence with greater accuracy indicated by R² value. The addition of Nanoclay and Graphene as fillers in the matrix improved the surface roughness of the hole. Feed rate and spindle speed were found to be the significant factors of machining and Graphene reinforced composites had better surface finish.

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Periodical:

Advances in Science and Technology (Volume 105)

Pages:

68-76

DOI:

https://doi.org/10.4028/www.scientific.net/AST.105.68

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Online since:

April 2021

Authors:

R. Pramod*, S. Basavarajappa, G.B. Veeresh Kumar

Keywords:

ANOVA, Graphene, Nanoclay, Nanocomposite, Nanoparticle, Surface Roughness

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References

[1] G.B. Veeresh Kumar, R Mageshvar, R Rejath, S Karthik, R Pramod, and C.S.P. Rao, Characterization of glass fiber bituminous coal tar reinforced Polymer Matrix Composites for high-performance applications, Composites Part B: Engineering, (2019) Volume 175.

DOI: 10.1016/j.compositesb.2019.107156

Google Scholar

[2] Arun G.K., Nikhil Sreenivas, Kesari Brahma Reddy, K Sai Krishna Reddy, Shashi Kumar M.E., Pramod R, Investigation on Mechanical Properties of Graphene Oxide reinforced GFRP, IOP Conf. Series: Materials Science and Engineering 310 (2018) 012158.

DOI: 10.1088/1757-899x/310/1/012158

Google Scholar

[3] Pramod R, Basavarajappa S, Davim J, A review on investigations in drilling of fiber reinforced plastics, Machinability of Fibre-Reinforced Plastics, pp.179-194, (2015), De Gruyter Publications.

DOI: 10.1515/9783110292251-008

Google Scholar

[4] J. Paulo Davim, Francisco Mata, New machinability study of glass fibre reinforced plastics using polycrystalline diamond and cemented carbide (K15) tools, Materials and Design 28 (2007) 1050–1054.

DOI: 10.1016/j.matdes.2005.09.019

Google Scholar

[5] K. Palanikumar, Modeling and analysis for surface roughness in machining glass fibre reinforced plastics using response surface methodology,, Mater. Des., vol. 28, no. 10, (2007) p.2611–2618.

DOI: 10.1016/j.matdes.2006.10.001

Google Scholar

[6] H. Hocheng, C.C. Tsao, Comprehensive Analysis of Delamination in Drilling of Composite Materials With Various Drill Bits, Journal of Materials Processing Technology 140 (2003) 335–339.

DOI: 10.1016/s0924-0136(03)00749-0

Google Scholar

[7] K. Palanikumar, Cutting Parameters Optimization for Surface Roughness in Machining of GFRP Composites using Taguchi's Method,, J. Reinf. Plast. Compos., vol. 25, no. 16, p.1739–1751, (2006).

DOI: 10.1177/0731684406068445

Google Scholar

[8] K. Palanikumar, Application of Taguchi and response surface methodologies for surface roughness in machining glass fiber reinforced plastics by PCD tooling,, Int. J. Adv. Manuf. Technol., vol. 36, (2008), p.19–27.

DOI: 10.1007/s00170-006-0811-0

Google Scholar

[9] K. Palanikumar, B. Latha, V.S. Senthilkumar and J.P. Davim: Analysis on drilling of glass fiber–reinforced polymer (GFRP) composites using grey relational analysis,, Mater. Manuf. Processes, (2012), 27, 297–305.

DOI: 10.1080/10426914.2011.577865

Google Scholar