Multi-Objective Optimisation of Laser Deposition of Metal Matrix Composites for Surface Coating Using Principal Component Analysis

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Laser deposition is an advanced manufacturing technology capable of enhancing service life of engineering components by hard-facing their functional surfaces. There are quite a number of parameters involved in the process and also desirable output characteristics. These output characteristics are often independently optimised and which may lead to poor outcome for other characteristics, hence the need for multi-objective optimisation of all the output characteristics. In this study, a laser deposition of Ti-6Al-4V wire and tungsten carbide powder was made on a Ti-6Al-4V substrate with a view to achieve a metallurgical bonded metal matrix composite on the substrate. Single clads were deposited with a desire to optimise the composite clad characteristics (height, width and reinforcement fraction) for the purpose of surface coating. Processing parameters (laser power, traverse speed, wire feed rate, powder feed rate) were varied, the experiment was planned using Taguchi method and output characteristics were analysed using principal component analysis approach. The results indicated that the parameters required for optimised clad height, width, and reinforcement fraction necessary for surface coating is laser power of 1800 W, traverse speed of 200 mm/min, wire feed rate 700 mm/min and powder feed rate of 30 g/min. The powder feed rate was found to most significantly contribute 43.99%, followed by traverse speed 39.77%, laser power 15.87% with wire feed rate having the least contribution towards the multi-objective optimisation. Confirmation results showed that clad width and reinforcement fraction were significantly improved by the optimised parameters. The multi-objective optimisation procedure is a useful tool necessary to identify the process factors required to enhance output characteristics in laser processing.

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December 2018

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© 2018 Trans Tech Publications Ltd. All Rights Reserved

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[1] H. Sahasrabudhe, S. Bose, A. Bandyopadhyay, Laser-Based Additive Manufacturing Processes, Advances in Laser Materials Processing, 17 (2018) 507-539.

DOI: 10.1016/b978-0-08-101252-9.00017-0

Google Scholar

[2] D. Bourell, J. P. Kruth, M. Leu, G. Levy, D. Rosen, A. M. Beese, A. Clare, Materials for additive manufacturing, CIRP Annals – Manufacturing Technology, 66 (2017) 659-681.

DOI: 10.1016/j.cirp.2017.05.009

Google Scholar

[3] D. B. Miracle, Metal matrix composites from science to technological significance, Composites Science and Technology, 65 (2005) 2526-2540.

DOI: 10.1016/j.compscitech.2005.05.027

Google Scholar

[4] P. K. Farayibi, J. A. Folkes, A. T. Clare, Laser Deposition of Ti-6Al-4V Wire with WC Powder for Functionally Graded Components, Materials and Manufacturing Processes, 28 (2013) 514-518.

DOI: 10.1080/10426914.2012.718477

Google Scholar

[5] H. Sohrabpoor, A. Issa, A. Al Hamaoy, I. U. Ahad, E. Chikarakara, K. Bagga, D. Brabazon, Development of Laser Processing Technologies via Experimental Design, Advances in Laser Materials Processing, 24 (2018) 707-729.

DOI: 10.1016/b978-0-08-101252-9.00024-8

Google Scholar

[6] S. K. Ghosh, K. Bandyopadhyay, P. Saha, Development of an in-situ multi-component reinforced Al-based metal matrix composite, Materials Characterisation, 93 (2014) 68-78.

DOI: 10.1016/j.matchar.2014.03.021

Google Scholar

[7] P. K. Farayibi, T. E. Abioye, A. T. Clare, A parametric study on laser cladding of Ti-6Al-4V wire and WC/W2C powder, International Journal of Advanced Manufacturing Technology, 87 (2016) 3349-3358.

DOI: 10.1007/s00170-016-8743-9

Google Scholar

[8] Z. Zhang, R. Kovacevic, Multiresponse Optimisation of Laser Cladding Steel + VC Using Grey Relational Analysis in the Taguchi Method, The Minerals, Metals and Materials Society, 68 (2016) 1762-1773.

DOI: 10.1007/s11837-016-1942-x

Google Scholar

[9] A. Riveiro, A. Mejias, F. Lusquinos, J. del Val, R. Comesana, J. Pardo, J. Pou, Optimisation of laser cladding for Al coating production, Physics Procedia, 41 (2013) 327-334.

DOI: 10.1016/j.phpro.2013.03.085

Google Scholar

[10] S. Mondal, C. P. Paul, L. M. Kukreja, A. Bandyopadhyay, P. K. Pal, Application of Taguchi-based gray relational analysis for evaluating the optimal laser cladding parameters for AISI1040 steel plane surface, International Journal of Advanced Manufacturing Technology, 66 (2013) 91-96.

DOI: 10.1007/s00170-012-4308-8

Google Scholar

[11] C. Lin, Parameter optimisation of laser cladding process and resulting microstructure for the repair of tenon on steam turbine blade, Vacuum, 115 (2015) 117-123.

DOI: 10.1016/j.vacuum.2015.02.021

Google Scholar

[12] P. Farahmand, R. Kovacevic, Parametric Study and Multi-Criteria Optimisation in Laser Cladding by a High Power Direct Diode Laser, Lasers in Manufacturing and Materials Processing, 1 (2014) 1-20.

DOI: 10.1007/s40516-014-0001-0

Google Scholar

[13] A. M. Orishich, A. A. Golyshev, A. G. Malikov, I. S. Mesenzova, N. A. Pavlov, Optimisation of laser cladding on the base of additive technologies of metal-ceramic powders. AIP Conference Proceedings, 1893 (2017) 020018(1-5).

DOI: 10.1063/1.5007456

Google Scholar

[14] J. Mazumder, Laser assisted surface coatings in metallurgical and ceramic protective coatings. In Stern K (ed.) Chapman and Hall, London, 1996, 300-341.

DOI: 10.1007/978-94-009-1501-5_5

Google Scholar

[15] A. Tellez, Fibre laser metal deposition with wire: Parameter study and temperature control. PhD Thesis, University of Nottingham, Nottingham, UK, (2010).

Google Scholar

[16] O. O. Ojo, E. Taban, Hybrid multi-response optimization of friction stir spot welds: failure load, effective bonded size and flash volume as responses, Sadhana, 43 (2018), 1-13.

DOI: 10.1007/s12046-018-0882-2

Google Scholar

[17] S. Jianjun, Z. Ping, F. Geyan, S. Shihong, Geometry characteristics modelling and process optimisation in coaxial laser inside wire cladding, Optics and Laser Technology, 101 (2018), 341-348.

DOI: 10.1016/j.optlastec.2017.10.035

Google Scholar

[18] D. M. Goodarzi, J. Pekkarinen, A. Salminen, Analysis of laser cladding process parameter influence on the clad bead geometry, Weld World, 61 (2017), 883-891.

DOI: 10.1007/s40194-017-0495-0

Google Scholar

[19] M. K. Alam, R. J. Urbanic, N. Nazemi, A. Edrisy, Predictive modelling and the effect of process parameters on the hardness and bead characteristics for laser-cladded stainless steel, 94 (2017), 397-413.

DOI: 10.1007/s00170-017-0898-5

Google Scholar

[20] Y. Yang, C. Longchao, W. Chaochao, Z. Qi, J. Ping, Multi-objective process parameters optimization of hot-wire laser welding using ensemble of metamodels and NSGA-II, Robotics and Computer Integrated Manufacturing, 53 (2018), 141-152.

DOI: 10.1016/j.rcim.2018.03.007

Google Scholar

[21] J. Antony, Multi-response Optimization in Industrial Experiments Using Taguchi's Quality Loss Function and Principal Component Analysis, Quality and Reliability Engineering International, 16 (2000), 3-8.

DOI: 10.1002/(sici)1099-1638(200001/02)16:1<3::aid-qre276>3.0.co;2-w

Google Scholar

[22] T. Yu, L. Yang, Y. Zhao, J. Sun, B. Li, Experimental research and multi-response multi-parameter optimization of laser cladding Fe313, Optics and Laser Technology, 108 (2018), 321-332.

DOI: 10.1016/j.optlastec.2018.06.030

Google Scholar