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Performance optimisation of the turning process along with multi-surface heating process

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Materials that are difficult to cut possess excellent qualities and machinability, though conventional machining techniques require additional energy to circumvent the problems associated with the turning process. In this study, heat-assisted turning of duplex stainless steel (SS) was carried out. Various heating techniques such as infrared (IR)-, ultraviolet (UV)- and hot air(HA)-assisted heating were adopted. The experiment used an L16 orthogonal array with the most significant parameters such as heating method, feed rate in millimetres per revolution (mm/rev), depth of cut (millimetres [mm]) and cutting speed (metres per minute [m/min])on the cutting force and surface roughness. The technique for order performance by similarity to ideal solution (TOPSIS) and grey relational analysis (GRA), were used to optimise the output performance. The results of TOPSIS showed that the 16th experimental combination, i.e., the HA heating method, with feed rate = 0.175 mm/rev, depth of cut = 0.1 mm and cutting speed = 150 m/min, required a smaller cutting force and resulted in lower surface roughness. In case of the GRA method, the best output performance was observed for the 15th experimental combination, that is, the HA heating method, with feed rate = 0.15 mm/rev, depth of cut = 0.2 mm and cutting speed = 200 m/min. Compared to the non-heat-assisted turning process, the HA- and UV-assisted processes required 10.25% and 7.69% lesser cutting force, respectively, and the surface roughness in case of the HA method was 15.13% lesser.
Słowa kluczowe
Wydawca
Rocznik
Strony
1--13
Opis fizyczny
Bibliogr. 30 poz., rys., tab.
Twórcy
  • Nehru Institute of Engineering and Technology, Coimbatore, Tamilnadu, India
  • AKT Memorial College of Engineering and Technology, Kallakurichi, Tamilnadu, India
autor
  • Muthayammal Engineering College, Rasipuram, Tamilnadu, India
Bibliografia
  • [1] Omole S, Lunt A, Kirk S, Shokrani A. Advanced processing and machining of Tungsten and its alloys. J. Manuf. Mater. Process. 2022;6(1)–15. doi: 10.3390/jmmp6010015.
  • [2] Madesh S, Charles CCD, Sathishkumar D. Recent developments in conventional machining for metals and composite materials. Adv. Manuf. Tech. Eng. Eng. Mater. 2022;82–102. doi: 10.4018/978-1-7998-9574-9.ch005.
  • [3] Lajis MA, Amin AKMN, Karim ANM, Radzi HCDM, Ginta TL. Hot machining of hardened steels with coated carbide inserts. Am. J. Eng. Appl. Sci. 2009;2(2) 421–7. doi: 10.3844/ajeassp.2009.421.427.
  • [4] Karabulut S, Bilgin M, Karakoc H, Skondras Giousios D, Markopoulos AP. Study of the heat-assisted milling of Ti–6Al–4V under dry and minimum-quantity-lubrication. Arab. J. Sci. Eng. 2022; 47 9287–304. doi: 10.1007/s13369-022-06878-3.
  • [5] Kim JH, Lee CM, Kim DH. The effect of plasma-assisted machining and additive path strategies of Inconel 718 manufactured with directed energy deposition. J. Mater. Res. Technol. 2022; 19 1658–72. doi: 10.1016/j.jmrt.2022.05.108.
  • [6] Balamuruga K. Metrological changes in surface profile, chip, and temperature on end milling of M2HSS die steel. Int. J. Mach. 2020;22: 443–453.
  • [7] Rao TB. Reliability analysis of the cutting tool in plasma-assisted turning and prediction of machining characteristics. Aust. J. Mech. Eng. 2020;1–15. doi: 10.1080/14484846.2020.1769458.
  • [8] Parida AK, Maity K. Study of machinability in heat-assisted machining of nickel-base alloy. Measurement. 2021;170. doi: 10.1016/j.measurement.2020.108682.
  • [9] Bharat N, Bose PSC. An overview on machinability of hard to cut materials using laser assisted machining. Mater. Today Proc. 2021;43: 665–72. doi: 10.1016/j.matpr.2020.12.587.
  • [10] Olsson M, Akujarvi V, Stahl JE, Bushlya V. Cryogenic and hybrid induction-assisted machining strategies as alternatives for conventional machining of refractory tungsten and niobium. Int. J. Refract. Hard Met. 2021;97–105. doi: 10.1016/j.ijrmhm.2021.105520.
  • [11] Parida AK, Maity K. Modeling of machining parameters affecting flank wear and surface roughness in hot turning of Monel-400 using response surface methodology (RSM). Measurement. 2019;137: 375–81. doi: 10.1016/j.measurement.2019.01.070.
  • [12] Sofuoglu MA, Çakir FH, Gurgen S, Orak S, Ku¸shan MC. Experimental investigation of machining characteristics and chatter stability for Hastelloy-X with ultrasonic and hot turning. Int. J. Adv. Manuf. Technol. 2018;95: 83–97. doi: 10.1007/s00170-017-1153-9.
  • [13] Maity K, Parida AK. Comparison of the machinability of Inconel 718, Inconel 625 and Monel 400 in hot turning operation. Eng. Sci. Technol. Int. J. 2018;21: 364–70. doi: 10.1016/j.jestch.2018.03.018.
  • [14] Baek JT, Woo WS, Lee CM. A study on the machining characteristics of induction and laser-induction assisted machining of AISI 1045 steel and Inconel 718. J. Manuf. Process. 2018;34: 513–22. doi: 10.1016/j.jmapro.2018.06.030.
  • [15] Parida AK, Maity K. Experimental investigation on tool life and chip morphology in hot machining of Monel-400. Eng Sci Technol Int J. 2018;21: 371–9. doi: 10.1016/j.jestch.2018.04.003.
  • [16] Sanchez LE, Mello HJ, Neto RRI, Davim JP. Hot turning of a difficult-to-machine steel aided by infrared radiation. Int. J. Adv. Manuf. Technol. 2014;73: 887–98. doi: 10.1007/s00170-014-5879-3.
  • [17] Soundarrajan M, Thanigaivelan R. Electrochemical micromachining of copper alloy through hot air assisted electrolyte approach. Russ. J. Electrochem. 2021;57: 172–82. doi: 10.1134/S1023193521020117.
  • [18] Saravanan KG, Thanigaivelan R, Soundarrajan M. Comparison of electrochemical micromachining performance using TOPSIS, VIKOR and GRA for magnetic field and UV rays heated electrolyte. Bull. Pol. Acad. Sci. Tech. 2021;69. doi: 10.24425/bpasts.2021.138816.
  • [19] Soundarrajan M, Thanigaivelan R, Investigation on electrochemical micromachining (ECMM) of copper inorganic material using UV heated electrolyte. Russ. J. Appl. Chem. 2018;91: 1805–13. doi: 10.1134/S1070427218110101.
  • [20] Soundarrajan M, Thanigaivelan R. Investigation of electrochemical micromachining process using ultrasonic heated electrolyte. Adv Micro Nano Manuf Surf Eng. 2019;423–434. doi: 10.1007/978-981-32-9425-7_38.
  • [21] Gunasekaran, K., Pradeep Kumar, G., Thanigaivelan, R., Arunachalam, R., Shanmugam, V. Optimization of turning parameters of cryogenic soaked AZ91 magnesium alloy using TOPSIS coupled Taguchi technique. J. New Mater. Electrochem. 2021;24(1): 49–54. doi: 10.14447/jnmes.v24i1.a09.
  • [22] Soundarrajan M, Thanigaivelan R. Intervening variables in electrochemical micro machining for copper. International Conference on Precision, Meso, Micro and Nano Engineering (COPEN 10). Indian Institute of Technology Madras. India. 2017.
  • [23] Suresh S, Venkatesan K, Natarajan E, Rajesh S. Performance analysis of nano silicon carbide reinforced swept friction stir spot weld joint in AA6061-T6 alloy. Silicon. 2021;13: 3399–412. doi: 10.1007/s12633-020-00751-4.
  • [24] Suresh S, Venkatesan K, Rajesh S. Optimization of process parameters for friction stir spot welding of AA6061/Al2O3 by Taguchi method. AIP Conf. Proc. 2019;1–10. doi: 10.1063/1.5117961.
  • [25] Muhammad R, Maurotto A, Roy A, Silberschmidt VV. Hot ultrasonically assisted turning of β-Ti alloy. Procedia CIRP. 2010;1: 336–41.
  • [26] Ranganathan S, Senthilvelan T, Sriram G, Evaluation of machining parameters of hot turning of stainless steel (Type 316) by applying ANN and RSM. Mater. Manuf. Process. 2010;25: 1131–41. doi: 10.1080/10426914.2010.489790.
  • [27] Maity KP, Swain PK. An experimental investigation of hot-machining to predict tool life. J. Mater. Process. Technol. 2008;198: 344–49. doi: 10.1016/j.jmatprotec.2007.07.018.
  • [28] Madhavulu G, Ahmed B. Hot machining process for improved metal removal rates in turning operations. J. Mater. Process. Technol. 1994;44: 199–206. doi: 10.1016/0924-0136(94)90432-4.
  • [29] Lajis MA, Nurul Amin AKM, Karim ANM. Surface integrity in hot machining of AISI D2 hardened steel. Adv Mater Res. 2012;500: 44–50. doi: 10.4028/www.scientific.net/AMR.500.44.
  • [30] Suresh S, Elango NK, Venkatesan Lim WH, Palanikumar K, Rajesh S. Sustainable friction stir spot welding of 6061-T6 aluminium alloy using improved non-dominated sorting teaching learning algorithm. J. Mater. Res. Technol. 2020;9: 11650–74. doi: 10.1016/j.jmrt.2020.08.043.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-0ebaf05d-42c7-4b34-8bad-0424a035e4f1
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