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Experimental investigation and machining analysis of Mg/TiC composites during EDM

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Electrical discharge machining (EDM) is one of the prominent non-conventional machining processes used to machine metal matrix composites. Mg/TiC composites are found in many industrial applications and conventional machining of the same is highly challenging. This paper aims to study the machinability analysis of Mg/TiC composites using EDM with pulseon time (Ton), pulse-off time (Toff) and input current (I) as the process variables with the material removal rate (MRR) and surface roughness (SR) as the performance measures. Stir cast Mg-alloy reinforced with TiC (0, 5, 10, 15 and 20) by weight was used as the workpiece. The EDM experiments were conducted as per L25 orthogonal array (OA) and the results were analyzed to study the effect of the process variables on MRR and SR. The parametric study showed that SR increases linearly with Ton and is attributed to larger craters produced at a higher pulse energy. MRR was also observed to grows with the rise in Ton as more material melts due to high-intensity pulses. As per the ANOVA results, Ton was found to be the most influential process variable affecting SR and MRR with a 79% and 34% contribution, respectively. Surface morphology investigations using SEM micrographs revealed the presence of globules and sphere-shaped metal deposits and were found responsible for increased SR.
Rocznik
Strony
9--16
Opis fizyczny
Bibliogr. 27 poz., rys., tab.
Twórcy
  • GKCIET, Department of Mechanical Engineering, Malda, West Bengal - 732141, India
  • Rajiv Gandhi Govt. Polytechnic College, Itanagar, Arunachal Pradesh - 791113, India
  • GKCIET, Department of Mechanical Engineering, Malda, West Bengal - 732141, India
  • NERIST, Department of Mechanical Engineering, Arunachal Pradesh - 791109, India
  • NIT, Department of Production Engineering, Agartala, Tripura - 799046, India
Bibliografia
  • 1. Rengasamy N.V., Rajkumar M., Kumaran S.S., An analysis of mechanical properties and optimization of EDM process parameters of Al 4032 alloy reinforced with Zrb2 and Tib2 in-situ composites, Journal of Alloys and Compounds 2016, 662, 325-338.
  • 2. Sahani O.P., Kumar R., Vashista M., Effect of electro discharge machining process parameters on material removal rate, Journal of Basic and Applied Engineering Research 2014, 1, 17-20.
  • 3. Khundrakpam N.S., Brar G.S., Deepak D., Grey-Taguchi optimization of near dry EDM process parameters on the surface roughness, Materials Today: Proceedings 2018, 5, 4445-4451.
  • 4. Baraskar S.S., Banwait S.S., Laroiya S.C., Multi-objective optimization of electrical discharge machining process using a hybrid method, Materials and Manufacturing Processes 2013, 28, 348-354, DOI: 10.1080/10426914.2012.700152.
  • 5. Mohanty A., Talla G., Gangopadhyay S., Experimental investigation and analysis of EDM characteristics of Inconel 825, Materials and Manufacturing Processes 2014, 29, 540-549, DOI:10.1080/10426914.2014.901536.
  • 6. Kumar S., Ghoshal S.K., Arora P.K., Nagdeve L., Multivariable optimization in die-sinking EDM process of AISI420 stainless steel, Materials and Manufacturing Processes 2020,DOI: 10.1080/10426914.2020.1843678.
  • 7. Kumar H., Manna A., Kumar R., Modeling of process parameters for surface roughness and analysis of machined surface in WEDM of Al/SiC-MMC, Transactions of the Indian Institute of Metals 2018, 71, 1, 231-244, DOI:10.1007/s12666-017-1159-x.
  • 8. Nadupuru R., Suman K.N.S., Experimental investigation and evaluation of EDM characteristics of inconel 718 material with and without assistance of magnet, International Journal on Interactive Design and Manufacturing (IJIDeM) 2021, 15, 225-238, DOI: 10.1007/s12008-021-00754-4.
  • 9. Uthayakumar M., Babu K.V., Kumaran S.T., Kumar S.S., Winowlin J.T., Rajan T.P.D., A study on the machining of Al–SiC functionally graded metal matrix composite using die-sinking EDM, Particulate Science and Technology 2017, DOI: 10.1080/02726351.2017.1346020.
  • 10. Mahanta S., Chandrasekaran M., Samanta S., RSM modeling and Taguchi analysis of EDM of B4C and flyash reinforced hybrid nanocomposites, Key Engineering Materials 2019, 801, 227-232.
  • 11. Kandpal B.C., Kumar J., Singh H., Optimization and characterization of EDM of AA 6061/10%Al2O3 AMMC using Taguchi’s approach and utility concept, Production & Manufacturing Research 2017, 5, 351-370, DOI: 10.1080/21693277.2017.1389315.
  • 12. Pugazhenthi R., Sreeram D., Scaria C.T., Anbuchezhiyan G., Nanthakumar P., Effect of process parameters on machining of Al-TiC metal matrix composites using RSM, Materials Today: Proceedings 2021, 46, 9, 3282-3287, DOI: 10.1016/j.matpr.2020.11.357.
  • 13. Natarajan U., Suganthi X.H., Periyanan P.R., Modeling and multiresponse optimization of quality characteristics for the micro-EDM drilling process, Transactions of the Indian Institute of Metals 2016, 69, 1675-1686, DOI: 10.1007/s12666-016-0828-5.
  • 14. Dash D., Samanta S., Rai R.N., Flexural, dry sliding wear and machinability (EDM) characteristics of AZ91D/TiC (0, 5, 10, 15, & 20 wt.%) MMCs, Advances in Materials and Processing Technologies 2022, 8, 3, 3344-3362, DOI:10.1080/2374068X.2021.1949537.
  • 15. Lakshmanan P., Kumanan G., Arunkumar L., Amith S. C., Experimental investigations of material removal rate on Mg/SiCp-flyash hybrid metal matrix composites by electrical discharge machining, Materials Today: Proceedings 2021, 46, 986-990.
  • 16. Praveen D.V., Raju M.V.J., Raju D.R., WEDM parametric study of AA7075/6 wt.% Ni-coated Al2O3(P) composite miniature gears, Composites Theory and Practice 2023, 23(2), 89-96.
  • 17. Shyn C.S., Rajesh R., Anand M. Dev., Modeling and prediction of die sinking EDM process parameters for A6061/ 6%B4C metal matrix composite material, Materials Today: Proceedings 2021, 42, 677-685.
  • 18. Dash D., Singh R., Samanta S., Rai R.N., Influence of TiC on microstructure, mechanical and wear properties of magnesium alloy (AZ91D) matrix composites, Journal of Scientific & Industrial Research 2020, 79, 164-169.
  • 19. Gopalakannan S., Senthilvelan T., Optimization of machining parameters for EDM operations based on central composite design and desirability approach, Journal of Mechanical Science and Technology 2014, 28(3), 1045-1053, DOI: 10.1007/s12206-013-1180-x.
  • 20. Mohanty A., Talla G., Gangopadhyay S., Experimental investigation and analysis of EDM characteristics of Inconel 825, Materials and Manufacturing Processes 2014, 29, 540-549, DOI: 10.1080/10426914.2014.901536.
  • 21. Devarasiddappa D., Chandrasekaran M., Arunachalam R., Experimental investigation and parametric optimization for minimizing surface roughness during WEDM of Ti6Al4V alloy using modified TLBO algorithm, Journal of the Brazilian Society of Mechanical Sciences and Engineering 2020, 42, 128-145, DOI: 10.1007/s40430-020-2224-7.
  • 22. Pradhan M.K., Biswas C.K., Effect of process parameters on surface roughness in EDM of tool steel by response surface methodology, International Journal of Precision Technology 2011, 2, 64-80.
  • 23. Annamalai N., Sivaramakrishnan V., Kumar B.S., Baskar N., Investigation and modeling of electrical discharge machining process parameters for AISI 4340 steel, International Journal of Engineering and Technology (IJET) 2014, 5, 4761-4770.
  • 24. Palanisamy D., Devaraju A., Manikandan N., Balasubramanian K., Arulkirubakaran D., Experimental investigation and optimization of process parameters in EDM of aluminium metal matrix composites, Materials Today: Proceedings 2020, 22, 525-530, DOI: 10.1016/j.matpr.2019.08.145.
  • 25. Kumar V., Singh B., Himanshu, Chandel S., Singhal P., Evaluation of EDM characteristics of synthesised AA2024- 2 & 3 wt.% SiO2 metal matrix nanocomposite (MMNC). Materials Today: Proceedings 2020, 26(9), DOI: 10.1016/j.matpr.2020.02.298.
  • 26. Devarasiddappa D., Chandrasekaran M., Valuation of power consumption and MRR in WEDM of Ti-6Al-4V alloy and its simultaneous optimization for sustainable production, Journal of the Brazilian Society of Mechanical Sciences and Engineering 2018, 40(400), 1-18, DOI: 10.1007/s40430-018-1318-y.
  • 27. Devarasiddappa D., Chandrasekaran M., Experimental investigation and optimization of sustainable performance measures during WEDM of Ti6Al4V alloy using preference based TLBO algorithm, Materials and Manufacturing Processes 2020, 35(11), 1204-1213. DOI: 10.1080/10426914.2020.1762211.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-a0753e9e-f5d3-46c9-bb40-163866ff98b9
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