TURNING PROCESS PARAMETERS OPTIMIZATION OF AL7075 HYBRID MMC’S COMPOSITE USING TOPSIS METHOD

This research article elaborates the processes involved in optimization studies in turning process with multi-response features on the basis of Multi-Criteria Decision Making (MCDM) Methodology by utilizing the integrated approach of Criteria importance through inter criteria (CRITIC) and Technique for Order Preference by Similarity Ideal Solution (TOPSIS) approaches. In the study, the researchers optimized the cutting speed, feed and depth of cut with multi-response characteristics which are inclusive of Material Removal Rate (MRR) as well as a surface roughness (Ra). When using a combination of the turning process parameters such as cutting speed of 115 m/min, the feed of 0.2 rev/m, and depth of cut of 0.8 mm, the approach was able to achieve high MRR and low Ra. The study results inferred that the TOPSIS method can be used to enhance the multi-response characteristics of theAl7075/FA/SiC MMC used during the turning process. ANOVA was conducted in order to find out the noteworthy factors for the turning process.

Keywords:

Turning, Surface Roughness, MRR, MCDM, CRITIC TOPSIS,

PDF

___

[1] Kanta DD., 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.
[2] NMuthukrishnan,., Murugan, M., & Rao, K. P. (2008). Machinability issues in turning of Al-SiC (10p) metal matrix composites. The International Journal of Advanced Manufacturing Technology, 39(3-4), 211-218.
[3] Niknam, S. A., Kamalizadeh, S., Asgari, A., & Balazinski, M. (2018). Turning titanium metal matrix composites (Ti-MMCs) with carbide and CBN inserts. The International Journal of Advanced Manufacturing Technology, 97(1-4), 253-265.
[4] Dandekar, C. R., & Shin, Y. C. (2012). Modeling of machining of composite materials: A review. International Journal of Machine tools and manufacture, 57, 102-121.
[5] Thakur, D., Ramamoorthy, B., & Vijayaraghavan, L. (2009). Optimization of high speed turning parameters of superalloy Inconel 718 material using Taguchi technique.
[6] Yang, W. P., & Tarng, Y. S. (1998). Design optimization of cutting parameters for turning operations based on the Taguchi method. Journal of materials processing technology, 84(1-3), 122-129.
[7] Zuperl, U., Cus, F., & Milfelner, M. (2005). Fuzzy control strategy for an adaptive force control in end-milling. Journal of Materials Processing Technology, 164, 1472-1478.
[8] KKadirgama., Noor, M. M., & Rahman, M. M. (2012). Optimization of surface roughness in end milling using potential support vector machine. Arabian Journal for Science and Engineering, 37(8), 2269-2275.
[9] Reddy, V. V., Krishna, M. G., Kumar, K. P., Kishore, B. N., Rao, J. B., & Bhargava, N. R. M. R. (2018, February). Studies on microstructure and mechanical behaviour of A7075-Flyash/SiC hybrid metal matrix composites. In IOP Conference Series: Materials Science and Engineering (Vol. 310, No. 1, p. 012047). IOP Publishing.
[10] Narayanan, N. S., Baskar, N., Ganesan, M., Jenarthanan, M. P., & Praveen, S. (2019). Evaluation and Optimization of Surface Roughness and Metal Removal Rate Through RSM, GRA, and TOPSIS Techniques in Turning PTFE Polymers. In Advances in Manufacturing Technology (pp. 595-605). Springer, Singapore.
[11] Karthik, S., Prakash, K. S., Gopal, P. M., & Jothi, S. (2019). Influence of materials and machining parameters on WEDM of Al/AlCoCrFeNiMo0. 5 MMC. Materials and Manufacturing Processes, 34(7), 759-768.
[12] Athawale, V. M., & Chakraborty, S. (2010, January). A TOPSIS method-based approach to machine tool selection. In Proceedings of the 2010 International Conference on Industrial Engineering and Operations Management Dhaka, Bangladesh (Vol. 2, pp. 83-94).
[13] Abhang, L. B., & Hameedullah, M. (2012). SELECTION OF LUBRICANT USING COMBINED MULTIPLE ATTRIBUTE DECISION-MAKING METHOD. Advances in Production Engineering & Management, 7(1).
[14] Patel, N., Patel, R. K., Patel, U. J., & Patel, B. P. (2012). Insert selection for turning operation on CNC turning centre using MADM methods. International Journal of Latest Trends in Engineering and Technology, 1(3), 49-59.
[15] PSenthil,., Vinodh, S., & Singh, A. K. (2014). Parametric optimisation of EDM on Al-Cu/TiB2 insitu metal matrix composites using TOPSIS method. International Journal of Machining and Machinability of Materials, 16(1), 80-94.
[16] Kumar, J., & Singh, G. S. (2016). Optimization of machining parameters of titanium alloy steel using: TOPSIS method. International Journal of Scientific Research in Science, Engineering and Technology, 2(2), 1019-1022.
[17] Singaravel, B., & Selvaraj, T. (2015). Optimization of machining parameters in turning operation using combined TOPSIS and AHP method. Tehnicki Vjesnik, 22(6), 1475-1480.
[18] Kasdekar, D. K., & Parashar, V. (2015). MADM Approach for Optimization of Multiple Responses in EDM of En-353 Steel. International Journal of Advanced Science and Technology, 83(1), 59-70.
[19] N Yuvaraj, & Pradeep Kumar, M. (2015). Multiresponse Optimization of Abrasive Water Jet Cutting Process Parameters Using TOPSIS Approach. Materials and Manufacturing Processes, 30(7), 882-889.
[20] R.Manivannan, & Kumar, M. P. (2016). Multi-response optimization of Micro-EDM process parameters on AISI304 steel using TOPSIS. Journal of Mechanical Science and Technology, 30(1), 137-144.
[21] Javed, S. A., Mahmoudi, A., Khan, A. M., Javed, S., & Liu, S. (2018). A critical review: shape optimization of welded plate heat exchangers based on grey correlation theory. Applied Thermal Engineering, 144, 593-599.
[22] Li, L. H., & Mo, R. (2015). Production task queue optimization based on multi-attribute evaluation for complex product assembly workshop. Plos One, 10(9), e0134343.
[23] Lotfi, F. H., & Fallahnejad, R. (2010). Imprecise Shannon’s entropy and multi attribute decision making. Entropy, 12(1), 53-62.
[24] Diakoulaki, D., Mavrotas, G., & Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The critic method. Computers & Operations Research, 22(7), 763-770.

Sigma Mühendislik ve Fen Bilimleri Dergisi-Cover

ISSN: 1304-7191
Yayın Aralığı: Yılda 4 Sayı
Yayıncı: Yıldız Teknik Üniversitesi

Arşiv