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Optimization of Machining Parameters for Nylon 6 Composite in CNC Lathe Using PCA-Based TOPSIS

Vinay Bhardwaj, M. K. Gaur, Vedansh Chaturvedi, Saurabh Agrawal

Abstract


This work investigates the parametric optimization of CNC turning operation for Nylon 6 with principal component analysis (PCA) and technique for order preference by similarity to ideal solution (TOPSIS) based on Taguchi approach. Taguchi’s L16 orthogonal array takes 16 experimental runs to execute the design matrix of turning parameters through PCA coupled with TOPSIS, utilizing relevant experimental data as obtained through experimentation. Turning speed (TS), feed rate (FD) and depth of cut (DOC) are optimized with the consideration of multiple performance characteristics, namely surface roughness Ra (µm), Rz (µm), material removal rate (MRR) (cm3/sec), and machining time (MT) (sec). The capabilities of the above proposed models have been tested through the analysis of variance. Lastly, confirmation tests were executed to sort a comparison between the experimental results and predicted values. It is found that FD is the most significant parameter followed by TS and DOC. The surface roughness parameters (Ra, Rz) and machining time as smaller the better and MRR as larger the better.

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References


V. Jaiganesh, S. Manivannan, S. Manivannan. Optimization of process parameters on friction stir welding of nylon 6 polymer plate, In: International Conference on Advances in Design and Manufacturing (ICAD&M'14). 2014; 684—9p.

K. Parida, R. Das, A. K. Sahoo, B. C. Routara. Optimization of cutting parameters for surface roughness in machining of GFRP composites with graphite/fly ash filler. In: 3rd International Conference on Materials Processing and Characterization (ICMPC 2014), Procedia Materials Science 6. 2014; 1533–8p.

Suksawat. Development of in-process surface roughness evaluation system for cast nylon 6 turning operation. Advanced in Control Engineering and Information Science, Procedia Engineering. 2011; 15: 4841–46p.

S. Agrawal, M. K. Gaur, D. K. Kasdekar, S. Agrawal, C. S. Malvi Optimal machining condition for turning of hard porcelain using response surface methodology, European Journal of Advances in Engineering and Technology. 2015; 2(5): 44--51p.

E. A. Squeo, G. Bruno, A. Guglielmotti, F. Quadrini. Friction stir welding of polyethylene sheets, The Annals of Dunarea De Jos University of Galati Fascicle V, Technologies in Machine Building. 2009. ISSN 1221-4566.

Z. Y. Ma. Friction stir processing technology: A review, Metallurgical and Materials Transactions A. 2008; 39A: 642--8p.

F. Ide, A. Hasegawa. Studies on polymer blend of nylon 6 and polyprenene or nylon 6 and polystyrene using the reaction of polymer, Journal of Applied Polymer Science., 2003; 18(4): 963--74p. DOI: 10.1002/app.1974.070180402.

P. Sevvel, V. Jaiganesh. A detailed investigation on the role of different tool geometry in friction stir welding of various metals & their alloys, In: Proceedings of the International Colloquium on Materials, Manufacturing& Metrology – ICMM, August 8-9. 2014; 103--37p.

S. S. Bose, P. A. Mahanwar. Effect of fly-ash on the mechanical thermal dielectric rheological and morphological properties of filled nylon 6, Journal of Minerals and Materials Characterization and Engineering. 2004; 3: 65–89p.

N. Chand, D. Jain. Effect of temperature on electrical behavior of fly-ash filled epoxy gradient composites, Journal of Applied Polymer Science. 2006; 100: 1269–76p.

N. Chand, S. R. Vashishtha. Development structure and strength properties of PP/PMMA/FA blends, Bulletin of Material Science. 2002; 23: 103–7p.

S. Guhanathan, S. Devi, V. Murugesan. Effect of coupling agents on the mechanical properties of fly ash/polyester particulate composites, Journal of Applied Polymer Science. 2001; 82: 1755–60p.

B. P. Kishore, S. M. Kulkarni. Compression strength of silane water exposed epoxy system containing fly ash particles, Journal of Reinforced Plastic and Composites. 2005; 24: 1567–76p.

S. A. Hussain, V. Pandurangadu, K. P. Kumar. Cutting power prediction model for turning of GFRP composites using response surface methodology, International Journal of Engineering, Science and Technology. 2011; 3(6): 161—71p.

S. A. Hussain, V. Pandurangadu, K. P. Kumar. Machinability of glass fiber reinforced plastic (GFRP) composite material, International Journal of Engineering, Science and Technology. 2011; 3(4): 103--18p.

S. Aravindan, A. Naveen Sait, A. Noorul Haq. Influence of machining parameters on surface roughness of GFRP pipes, Advances in Production & Management. 2009; 4(1--2): 47--58p. ISSN 1854-6250.

S. Aravindan, A. Naveen Sait, A. Noorul Haq. Optimization of machining parameters of GFRP pipes by desirability function analysis using Taguchi technique, International Journal Advanced Manufacturing Technology. 2009; 43: 581--9p.

S. Aravindan, A. Naveen Sait, A. Noorul Haq. A machinability study of GFRP pipes using statistical technique, International Journal Advanced Manufacturing Technology. 2008; 37: 1069--81p.

R. Sreenivasulu. Optimization of surface roughness and delamination damage of GFRP composite material in end milling using Taguchi design method and artificial neural network. International Conference on DESIGN AND MANUFACTURING, Icon DM 2013.

H. Vasudevan, N. D. Deshpande, R. R. Rajguru. Desirability Fuzzy Multiple Criteria Optimization of Process Parameter in CNC Turning of GFRP/Vinyl ester Composites. International Conference on Advances in Manufacturing and Materials Engineering, AMME 201.




DOI: https://doi.org/10.37628/ijmmp.v4i1.624

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