Advances in materials Research

  • 제13권1호
  • /
  • Pages.1-18
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  • 2024
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  • 2234-0912(pISSN)
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  • 2234-179X(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

DOI QR Code

Laser micro-drilling of CNT reinforced polymer nanocomposite: A parametric study using RSM and APSO

  • Lipsamayee Mishra (Department of Production Engineering, Veer Surendra University of Technology) ;
  • Trupti Ranjan Mahapatra (Department of Production Engineering, Veer Surendra University of Technology) ;
  • Debadutta Mishra (Department of Production Engineering, Veer Surendra University of Technology) ;
  • Akshaya Kumar Rout (School of Mechanical Engineering, KIIT Deemed to be University)
  • 투고 : 2022.03.05
  • 심사 : 2023.07.10
  • 발행 : 2024.02.25
⟨ 이전 논문 다음 논문 ⟩

초록

The present experimental investigation focuses on finding optimal parametric data-set of laser micro-drilling operation with minimum taper and Heat-affected zone during laser micro-drilling of Carbon Nanotube/Epoxy-based composite materials. Experiments have been conducted as per Box-Behnken design (BBD) techniques considering cutting speed, lamp current, pulse frequency and air pressure as input process parameters. Then, the relationship between control parameters and output responses is developed using second-order nonlinear regression models. The analysis of variance test has also been performed to check the adequacy of the developed mathematical model. Using the Response Surface Methodology (RSM) and an Accelerated particle swarm optimization (APSO) technique, optimum process parameters are evaluated and compared. Moreover, confirmation tests are conducted with the optimal parameter settings obtained from RSM and APSO and improvement in performance parameter is noticed in each case. The optimal process parameter setting obtained from predictive RSM based APSO techniques are speed=150 (m/s), current=22 (amp), pulse frequency (3 kHz), Air pressure (1 kg/cm2) for Taper and speed=150 (m/s), current=22 (amp), pulse frequency (3 kHz), air pressure (3 kg/cm2) for HAZ. From the confirmatory experimental result, it is observed that the APSO metaheuristic algorithm performs efficiently for optimizing the responses during laser micro-drilling process of nanocomposites both in individual and multi-objective optimization.

키워드

과제정보

The research described in this paper was financially supported by TEQIP III, VSSUT, Burla (VSSUT/TEQIP/82/2020, dated 20/01/2020 and VSSUT/TEQIP/86/2020, dated 20/01/2020).

참고문헌

  1. Adalarasan, R., Santhanakumar, M. and Thileepan, S. (2017), "Selection of optimal machining parameters in pulsed CO2 laser cutting of Al6061/Al2O3 composite using taguchi-based response surface methodology (T-RSM)", Int. J. Adv. Manuf. Technol., 93(1-4), 305-317. https://doi.org/10.1007/s00170-016-8978-5.
  2. Ahmed, R.I., Moustafa, M.M., Talaat, A.M. and Ali, W.Y. (2015), "Frictional behaviour of epoxy reinforced copper wires composites", Adv. Mater. Res., 4(3), 165-178. https://doi.org/10.12989/amr.2015.4.3.165.
  3. Ameur, T. and Assas, M. (2012), "Modified PSO algorithm for multi-objective optimization of the cutting parameters", Prod. Eng., 6(6), 569-576. https://doi.org/10.1007/s11740-012-0408-4.
  4. Biswas, R., Kuar, A.S., Biswas, S.K. and Mitra, S. (2010), "Artificial neural network modelling of Nd:YAG laser microdrilling on titanium nitride-alumina composite", Int. J. Adv. Manuf. Technol., 224(3), 473-482. https://doi.org/10.1243/09544054JEM1576.
  5. Chatterjee, S., Mahapatra, S.S., Bharadwaj, V., Choubey, A., Upadhyay, B.N. and Bindra, K.S. (2018), "Quality evaluation of micro drilled hole using pulsed Nd:YAG Laser: A case study on AISI 316", Lasers Manuf. Mater., 5(3), 248-269. https://doi.org/10.1007/s40516-018-0067-1.
  6. Chien, W.T. and Hou, S.C. (2007), "Investigating the recast layer formed during the laser trepan drilling of inconel 718 using the Taguchi method", Int. J. Adv. Manuf. Technol., 33(3-4), 308-316. https://doi.org/10.1007/s00170-006-0454-1.
  7. Ciurana, J., Arias, G. and Ozel, T. (2009), "Neural network modeling and particle swarm optimization (PSO) of process parameters in pulsed laser micromachining of hardened AISI H13 steel", Mater. Manuf. Pr., 24(3), 358-368. https://doi.org/10.1080/10426910802679568.
  8. Galinska, A. (2020), "Mechanical joining of fibre reinforced polymer composites to metals - A review Part i: Bolted joining", Polym., 12(10), 1-48. https://doi.org/10.3390/polym12102252.
  9. Gao, J.G., Zhai, D. and Wu, W.H. (2014), "Preparation and characterization of boron-nitrogen coordination phenol resin/SiO2 nanocomposites", Adv. Mater. Res., 3(1), 259-269. https://doi.org/10.12989/amr.2014.3.1.259.
  10. Gauri, S.K. and Pal, S. (2010), "Comparison of performances of five prospective approaches for the multi-response optimization", Int. J. Adv. Manuf. Technol., 48(9-12), 1205-1220. https://doi.org/10.1007/s00170-009-2352-9.
  11. Gautam, G.D. and Mishra, D.R. (2019), "Firefly algorithm based optimization of kerf quality characteristics in pulsed Nd : YAG laser cutting of basalt fiber reinforced composite", Compos. Part B: Eng., 176, 107340. https://doi.org/10.1016/j.compositesb.2019.107340.
  12. George, S.M., Puglia, D., Kenny, J.M., Causin, V., Parameswaranpillai, J. and Thomas, S. (2013), "Morphological and mechanical characterization of nanostructured thermosets from epoxy and styrene-block-butadiene-block-styrene triblock copolymer", Indust. Eng. Chem. Res., 52(26), 9121-9129. https://doi.org/10.1021/ie400813v.
  13. Goswami, D. and Chakraborty, S. (2015), "A Study on the optimization performance of fireworks and cuckoo search algorithms in laser machining processes", J. Inst. Eng. Ser. C, 96(3), 215-229. https://doi.org/10.1007/s40032-014-0160-y.
  14. Jain, A., Singh, B. and Shrivastava, Y. (2019), "Reducing the heat-affected zone during the laser beam drilling of basalt-glass hybrid composite", Compos. Part B: Eng., 176, 107294. https://doi.org/10.1016/j.compositesb.2019.107294.
  15. Kipfer, B.A. (2021), "Mont", Encyclopedic Dictionary of Archaeology, Springer International Publishing, Cham, Switzerland.
  16. Kuar, A.S., Dhara, S.K. and Mitra, S. (2010), "Multi-response optimisation of Nd:YAG laser micro-machining of die steel using response surface methodology", Int. J. Manuf. Technol. Manag., 21(1-2), 17-29. https://doi.org/10.1504/IJMTM.2010.034283.
  17. Kuar, A.S., Biswas, P., Mitra, S. and Biswas, R. (2008), "Experimental investigation of Nd: YAG laser micro-grooving operation of alumina workpiece using RSM", Int. J. Mater. Struct. Integr., 1(4), 355-370. https://doi.org/10.1504/IJMSI.2008.019618.
  18. Kumar, D. and Gururaja, S. (2020), "Investigation of hole quality in drilled Ti/CFRP/Ti laminates using CO2 laser", Opt. Laser Technol., 126, 106130. https://doi.org/10.1016/j.optlastec.2020.106130.
  19. Liu, C., Zhang, X., Gao, L., Jiang, X., Li, C. and Yang, T. (2021), "Feasibility of micro-hole machining in fiber laser trepan drilling of 2.5D Cf/SiC composite: experimental investigation and optimization", Opt., 242, 167186. https://doi.org/10.1016/j.ijleo.2021.167186.
  20. Masir, A.N., Darvizeh, A. and Zajkani, A. (2018), "Mechanical properties of top neck mollusks shell nano composite in different environmental conditions", Adv. Mater. Res., 7(3), 185-194. https://doi.org/10.12989/amr.2018.7.3.185.
  21. Meijer, J. (2004), "Laser beam machining (LBM), state of the art and new opportunities", J. Mater. Pr. Technol., 149(1-3), 2-17. https://doi.org/10.1016/j.jmatprotec.2004.02.003.
  22. Mishra, D.R., Bajaj, A. and Bisht, R. (2020), "Optimization of multiple kerf quality characteristics for cutting operation on carbon-basalt-kevlar29 hybrid composite material using pulsed Nd:YAG laser using GRA", CIRP J. Manuf. Sci. Technol., 30, 174-183. https://doi.org/10.1016/j.cirpj.2020.05.005.
  23. Mukherjee, R., Goswami, D. and Chakraborty, S. (2013), "Parametric optimization of Nd : YAG laser beam machining process using artificial bee colony algorithm", J. Indust. Eng., 2013, 570250. https://doi.org/10.1155/2013/570250.
  24. Muthukumar, V., Suresh Babu, A., Venkatasamy, R. and Senthil Kumar, N. (2015), "An accelerated particle swarm optimization algorithm on parametric optimization of WEDM of die-steel", J. Inst. Eng. Ser. C, 96(1), 49-56. https://doi.org/10.1007/s40032-014-0143-z.
  25. Nagesh, S., Narasimha Murthy, H.N., Krishna, M. and Basavaraj, H. (2013), "Parametric study of CO2 laser drilling of carbon nanopowder/vinylester/glass nanocomposites using design of experiments and grey relational analysis", Opt. Laser Technol., 48, 480-488. https://doi.org/10.1016/j.optlastec.2012.11.013.
  26. Patel, P., Gohil, P. and Rajpurohit, S. (2013), "Laser machining of polymer matrix composites : Scope , limitation and application", Int. J. Eng. Trends Technol., 4(6), 2391-2399.
  27. Rajesh, P., Nagaraju, U., Harinath Gowd, G. and Vishnu Vardhan, T. (2017), "Experimental and parametric studies of Nd:YAG laser drilling on austenitic stainless steel", Int. J. Adv. Manuf. Technol., 93(1-4), 65-71. https://doi.org/10.1007/s00170-015-7639-4.
  28. Rao, R. and Yadava, V. (2009), "Multi-objective optimization of Nd:YAG laser cutting of thin superalloy sheet using grey relational analysis with entropy measurement", Opt. Laser Technol., 41(8), 922-930. https://doi.org/10.1016/j.optlastec.2009.03.008.
  29. Sahoo, A. and Mishra, P. (2014), "A response surface methodology and desirability approach for predictive modeling and optimization of cutting temperature in machining hardened steel", Int. J. Indust. Eng. Comput., 5(3), 407-416. https://doi.org/10.5267/j.ijiec.2014.4.002.
  30. Saini, S.K. and Dubey, A.K. (2019), "Study of material characteristics in laser trepan drilling of ZTA", J. Manuf. Pr., 44, 349-358. https://doi.org/10.1016/j.jmapro.2019.06.017.
  31. Sharon, M., Nandgavkar, I. and Sharon, M. (2017), "Platinum nanocomposites and its applications: A review", Adv. Mater. Res., 6(2), 129-153. https://doi.org/10.12989/amr.2017.6.2.129.
  32. Sibalija, T.V., Petronic, S.Z., Majstorovic, V.D., Prokic-Cvetkovic, R. and Milosavljevic, A. (2011), "Multi-response design of Nd:YAG laser drilling of ni-based superalloy sheets using taguchi's quality loss function, multivariate statistical methods and artificial intelligence", Int. J. Adv. Manuf. Technol., 54(5-8), 537-552. https://doi.org/10.1007/s00170-010-2945-3.
  33. Singh, N. and Aul, G.D. (2021), "Development of cobalt coated mwcnts/polyurethane composite for microwave absorption", Adv. Mater. Res., 10(3), 195-209. https://doi.org/10.12989/amr.2021.10.3.195.
  34. Suhaimi, S.N., Shamsuddin, S.M., Ahmad, W.A., Hasan, S. and Venil, C.K. (2019), "Comparison of particle swarm optimization and response surface methodology in fermentation media optimization of flexirubin production", J. Teknol., 81(2), 53-60. https://doi.org/10.11113/jt.v81.10766.
  35. Wang, Q. and G. Chen. (2014), "Effect of pre-treatment of nanofillers on the dielectric properties of epoxy nanocomposites", Adv. Mater. Res., 21(4), 1809-1816. https://doi.org/10.1109/TDEI.2014.004278.
  36. Yan, Y., Ji, L., Bao, Y. and Jiang, Y. (2012), "An experimental and numerical study on laser percussion drilling of thick-section alumina", J. Mater. Pr. Technol., 212(6), 1257-1270. https://doi.org/10.1016/j.jmatprotec.2012.01.010.
  37. Yang, X.S., Deb, S. and Fong, S. (2011), "Accelerated particle swarm optimization and support vector machine for business optimization and applications", Networked Digital Technologies: Third International Conference, NDT 2011, Macau, China, July.