Machining performance of aluminium matrix composite and use of WPCA based Taguchi technique for multiple response optimization

Das, D.; Mishra, P.; Singh, S.; Chaubey, A.; Routara, B.

Growing Science » International Journal of Industrial Engineering Computations » Machining performance of aluminium matrix composite and use of WPCA based Taguchi technique for multiple response optimization

Journals

IJIEC Volumes

Volume 1 (17)
- Issue 1 (9)
- Issue 2 (8)

Volume 2 (68)
- Issue 1 (12)
- Issue 2 (20)
- Issue 3 (20)
- Issue 4 (16)

Volume 3 (76)
- Issue 1 (9)
- Issue 2 (15)
- Issue 3 (20)
- Issue 4 (12)
- Issue 5 (20)

Volume 4 (50)
- Issue 1 (14)
- Issue 2 (10)
- Issue 3 (12)
- Issue 4 (14)

Volume 5 (47)
- Issue 1 (13)
- Issue 2 (12)
- Issue 3 (12)
- Issue 4 (10)

Volume 6 (39)
- Issue 1 (7)
- Issue 2 (12)
- Issue 3 (10)
- Issue 4 (10)

Volume 7 (47)
- Issue 1 (10)
- Issue 2 (14)
- Issue 3 (10)
- Issue 4 (13)

Volume 8 (30)
- Issue 1 (9)
- Issue 2 (7)
- Issue 3 (8)
- Issue 4 (6)

Volume 9 (32)
- Issue 1 (9)
- Issue 2 (6)
- Issue 3 (7)
- Issue 4 (10)

Volume 10 (34)
- Issue 1 (8)
- Issue 2 (10)
- Issue 3 (8)
- Issue 4 (8)

Volume 11 (36)
- Issue 1 (9)
- Issue 2 (8)
- Issue 3 (9)
- Issue 4 (10)

Volume 12 (29)
- Issue 1 (9)
- Issue 2 (6)
- Issue 3 (8)
- Issue 4 (6)

Volume 13 (41)
- Issue 1 (10)
- Issue 2 (8)
- Issue 3 (10)
- Issue 4 (13)

Volume 14 (50)
- Issue 1 (11)
- Issue 2 (15)
- Issue 3 (9)
- Issue 4 (15)

Volume 15 (55)
- Issue 1 (19)
- Issue 2 (15)
- Issue 3 (12)
- Issue 4 (9)

Volume 16 (12)
- Issue 1 (12)

Countries

International Journal of Industrial Engineering Computations

ISSN 1923-2934 (Online) - ISSN 1923-2926 (Print) Quarterly Publication Volume 9 Issue 4 pp. 551-564 , 2018

Machining performance of aluminium matrix composite and use of WPCA based Taguchi technique for multiple response optimization Pages 551-564 Download PDF

Authors: Diptikanta Das, Purna Chandra Mishra, Saranjit Singh, Anil Kumar Chaubey, Bharat Chandra Routara

DOI: 10.5267/j.ijiec.2017.10.001

Keywords: Aluminium matrix composite, Turning, Weighted principal component analysis, Taguchi

Abstract: Silicon carbide (SiC) particulate impregnated Al 7075 matrix composite was fabricated by stir casting method and then heat treated to T6 condition. It was then machined with multiple layer of TiN coated tungsten carbide (WC) inserts in dry environment and pollution free Spray Impingement Cooling (SIC) environment to compare the machining performance. SIC environment presented better machining performance with respect to cutting tool temperature (T), average roughness of the machined surface (Ra) and tool flank wear (VBc). Quadratic response surface models were developed by computing the experimental data. Weighted Principal Component Analysis (WPCA) based Taguchi technique was adopted to optimize the multiple responses simultaneously, which resulted 40 m/min of cutting speed (V), 0.05 mm/rev of feed (f) and 0.2 mm of cutting depth (d) was the optimal combination of process parameters.

How to cite this paper

 Das, D., Mishra, P., Singh, S., Chaubey, A & Routara, B. (2018). Machining performance of aluminium matrix composite and use of WPCA based Taguchi technique for multiple response optimization.International Journal of Industrial Engineering Computations , 9(4), 551-564.

Refrences

Bansal, P., & Upadhyay, L. (2013). Experimental investigations to study tool wear during turning of alumina reinforced aluminium composite. Procedia Engineering, 51, 818-827.
Bhushan, R. K., Kumar, S., & Das, S. (2010). Effect of machining parameters on surface roughness and tool wear for 7075 Al alloy SiC composite. The International Journal of Advanced Manufacturing Technology, 50(5), 459-469.
Davim, J. P. (2002). Diamond tool performance in machining metal–matrix composites. Journal of Materials Processing Technology, 128(1), 100-105.
Ding, X., Liew, W. Y. H., & Liu, X. D. (2005). Evaluation of machining performance of MMC with PCBN and PCD tools. Wear, 259(7), 1225-1234.
Ge, Y. F., Xu, J. H., Yang, H., Luo, S. B., & Fu, Y. C. (2008). Workpiece surface quality when ultra-precision turning of SiC p/Al composites. Journal of materials processing technology, 203(1), 166-175.
Kannan, S., & Kishawy, H. A. (2008). Tribological aspects of machining aluminium metal matrix composites. Journal of Materials Processing Technology, 198(1), 399-406.
Kanta Das, D., Mishra, P. C., Singh, S., & Thakur, R. K. (2015). Tool wear in turning ceramic reinforced aluminum matrix composites—A review. Journal of Composite Materials, 49(24), 2949-2961.
Kılıckap, E., Cakır, O., Aksoy, M., & Inan, A. (2005). Study of tool wear and surface roughness in machining of homogenised SiC-p reinforced aluminium metal matrix composite. Journal of Materials Processing Technology, 164, 862-867.
Kumar, A., Mahapatra, M. M., & Jha, P. K. (2014). Effect of machining parameters on cutting force and surface roughness of in situ Al–4.5% Cu/TiC metal matrix composites. Measurement, 48, 325-332.
Manna, A., & Bhattacharayya, B. (2003). A study on machinability of Al/SiC-MMC. Journal of Materials Processing Technology, 140(1), 711-716.
Mishra, P., Das, D., Ukamanal, M., Routara, B., & Sahoo, A. (2015). Multi-response optimization of process parameters using Taguchi method and grey relational analysis during turning AA 7075/SiC composite in dry and spray cooling environments. International Journal of Industrial Engineering Computations, 6(4), 445-456.
Panda, S. R., Senapati, A. K., & Mishra, P. C. (2017). Multi-regression prediction model for surface roughness and tool wear in turning novel aluminum alloy (LM6)/fly ash composite using response surface and central composite design methodology Pages. International Journal of Industrial Engineering Computations, 8(1), 1-18.
Ramezani, M. (2015). Surface roughness prediction of particulate composites using artificial neural networks in turning operation. Decision Science Letters, 4(3), 419-424.
Routara, B. C., Mohanty, S. D., Datta, S., Bandyopadhyay, A., & Mahapatra, S. S. (2010). Combined quality loss (CQL) concept in WPCA-based Taguchi philosophy for optimization of multiple surface quality characteristics of UNS C34000 brass in cylindrical grinding. The International Journal of Advanced Manufacturing Technology, 51(1), 135-143.
Sahoo, A. K., & Pradhan, S. (2013). Modeling and optimization of Al/SiCp MMC machining using Taguchi approach. Measurement, 46(9), 3064-3072.
Sahoo, A., Orra, K., & Routra, B. (2013). Application of response surface methodology on investigating flank wear in machining hardened steel using PVD TiN coated mixed ceramic insert. International Journal of Industrial Engineering Computations, 4(4), 469-478.
Sahu, S. K., Mishra, P. C., Orra, K., & Sahoo, A. K. (2015). Performance assessment in hard turning of AISI 1015 steel under spray impingement cooling and dry environment. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 229(2), 251-265.
Sahoo, A., Rout, A., & Das, D. (2015). Response surface and artificial neural network prediction model and optimization for surface roughness in machining. International Journal of Industrial Engineering Computations, 6(2), 229-240.
Sahoo, P., Pratap, A., & Bandyopadhyay, A. (2017). Modeling and optimization of surface roughness and tool vibration in CNC turning of Aluminum alloy using hybrid RSM-WPCA methodology. International Journal of Industrial Engineering Computations, 8(3), 385-398.
Yanming, Q., & Zehua, Z. (2000). Tool wear and its mechanism for cutting SiC particle-reinforced aluminium matrix composites. Journal of materials processing technology, 100(1), 194-199.
Yang, Y., & Li, J. F. (2010). Study on mechanism of chip formation during high-speed milling of alloy cast iron. The International Journal of Advanced Manufacturing Technology, 46(1), 43-50.
Yingfei, G., Jiuhua, X., & Hui, Y. (2010). Diamond tools wear and their applicability when ultra-precision turning of SiC p/2009Al matrix composite. Wear, 269(11), 699-708.