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An experimental study on ultrasonic machining of Tungsten carbide-cobalt composite materials

  • Received: 09 September 2016 Accepted: 08 October 2016 Published: 19 October 2016
  • In current study, the effects of numerous process parameters such as properties of work material, profile of tool, grit size, tool feed rate and power rating on rate of material removal and tool wear have been investigated in ultrasonic machining of WC-Co composite material. Taguchi’s L-18 orthogonal array has been utilized for planning the experiments. Analysis of variance (ANOVA) is also utilized to find the significant factors. Multi-response optimization has been done by using grey relation analysis (GRA) method. Tool with square type profile carries better performance for material removal rate. Significant effects are observed for process variables such as tool profile, abrasive grain size, power level and tool feed rate. Obtained results have been found to corroborate with confirmatory experimental results.

    Citation: Ravinder Kataria, Ravi Pratap Singh, Jatinder Kumar. An experimental study on ultrasonic machining of Tungsten carbide-cobalt composite materials[J]. AIMS Materials Science, 2016, 3(4): 1391-1409. doi: 10.3934/matersci.2016.4.1391

    Related Papers:

  • In current study, the effects of numerous process parameters such as properties of work material, profile of tool, grit size, tool feed rate and power rating on rate of material removal and tool wear have been investigated in ultrasonic machining of WC-Co composite material. Taguchi’s L-18 orthogonal array has been utilized for planning the experiments. Analysis of variance (ANOVA) is also utilized to find the significant factors. Multi-response optimization has been done by using grey relation analysis (GRA) method. Tool with square type profile carries better performance for material removal rate. Significant effects are observed for process variables such as tool profile, abrasive grain size, power level and tool feed rate. Obtained results have been found to corroborate with confirmatory experimental results.
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    [1] Kataria R, Kumar J (2015) Machining of WC-Co composites—A review. Mater Sci Forum 808: 51–64.
    [2] Janmanee P, Muttamara A (2011) Optimization of electrical discharge machining of composite 90WC-10Co base on Taguchi approach. Eur J Sci Res 64: 426–436.
    [3] Assarzadeh S, Ghoreishi M (2013) Statistical modeling and optimization of process parameters in electro-discharge machining of cobalt-bonded tungsten carbide composite (WC/6%Co). Procedia Cirp 6: 464–469.
    [4] Singh GK, Yadav V, Kumar R (2010) Diamond face grinding of WC-Co composite with spark assistance: Experimental study and parameter optimization. Int J Precis Eng Man 11: 509–518. doi: 10.1007/s12541-010-0059-3
    [5] Muthuraman V, Ramakrishnan R (2012) Multi parametric optimization of WC-Co composites using desirability approach. Procedia Eng 38: 3381–3390. doi: 10.1016/j.proeng.2012.06.391
    [6] Mahamat ATZ, Rani AMA, Husain P (2011) Machining of cemented tungsten carbide using EDM. J Appl Sci 11: 1784–1790. doi: 10.3923/jas.2011.1784.1790
    [7] Yadav SKS, Yadav V (2013) Experimental investigation to study electrical discharge diamond cutoff grinding (EDDCG) machinability of cemented carbide. Mater Manuf Process 28: 1077–1081. doi: 10.1080/10426914.2013.792414
    [8] Bhavsar SN, Aravindan S, Rao V (2012) Machinability study of cemented carbide using focused ion beam (FIB) milling. Mater Manuf Process 27: 1029–1034. doi: 10.1080/10426914.2011.654166
    [9] Mohanty A, Talla G, Gangopadhyay S (2014) Experimental investigation and analysis of EDM characteristics of Inconel 825. Mater Manuf Process 29: 540–549. doi: 10.1080/10426914.2014.901536
    [10] Singh RP, Kumar J, Kataria R, et al. (2015) Investigation of the machinability of commercially pure titanium in ultrasonic machining using graph theory and matrix method. J Eng Res 3: 75–94.
    [11] Kumar J, Khamba JS, Mohapatra SK (2008) An investigation into the machining characteristics of titanium using ultrasonic machining. Int J Mach Mach Mater 3: 143–161.
    [12] Kataria R, Kumar J, Pabla BS (2016) Experimental investigation of surface quality in ultrasonic machining of WC-Co composites through Taguchi method. AIMS Mater Sci 3: 1222–1235. doi: 10.3934/matersci.2016.3.1222
    [13] Kataria R, Kumar J, Pabla BS (2016) Ultrasonic machining of WC-Co composite material: Experimental investigation and optimization using statistical technique. P I Mech Eng B-J Eng.
    [14] Jadoun RS, Kumar P, Mishra BK, et al. (2006) Optimization of process parameters for ultrasonic drilling (USD) of advanced engineering ceramics using Taguchi approach. Eng Optimiz 38: 771–787.
    [15] Hocheng H, Kuo KL, Lin JT (1999) Machinability of zirconia ceramic in ultrasonic drilling. Mater Manuf Process 14: 713–724. doi: 10.1080/10426919908914864
    [16] Komaraiah M, Reddy PN (1993) A study on the influence of workpiece properties in ultrasonic machining. Int J Mach Tool Manu 33: 495–505. doi: 10.1016/0890-6955(93)90055-Y
    [17] Jianxin D, Taichiu L (2002) Ultrasonic machining of alumina based ceramic composites. J Eur Ceram Soc 22: 1235–1241. doi: 10.1016/S0955-2219(01)00437-X
    [18] Kumar J, Khamba JS (2009) An investigation into the effect of work material properties, tool geometry and abrasive properties on performance indices of ultrasonic machining. Int J Mach Mach Mater 5: 347–366.
    [19] Teimori R, Baseri H, Moharmi R (2015) Multi-responses optimization of ultrasonic machining process. J Intell Manuf 26: 745–753. doi: 10.1007/s10845-013-0831-1
    [20] Lalchhuanvela H, Doloi B, Battacharyya B (2012) Enabling and understanding ultrasonic machining of engineering ceramics using parametric analysis. Mater Manuf Process 27: 443–448. doi: 10.1080/10426914.2011.585497
    [21] Adithan M (1981) Tool wear characteristics in ultrasonic drilling. Tribol Int 14: 351–356. doi: 10.1016/0301-679X(81)90103-1
    [22] Kataria R, Kumar J, Pabla BS (2015) Experimental Investigation into the Hole Quality in Ultrasonic Machining of WC-Co Composite. Mater Manuf Process 30: 921–933. doi: 10.1080/10426914.2014.995052
    [23] Jadoun RS, Kumar P, Mishra BK, et al. (2006) Manufacturing process optimization for tool wear rate in ultrasonic drilling of engineering ceramics using Taguchi method. Int J Mach Mach Mater 1: 94–114.
    [24] Kumar J, Khamba JS (2008) An experimental study on ultrasonic machining of pure titanium using designed experiments. J Braz Soc Mech Sci 30: 231–238.
    [25] Kumar V, Khamba JS (2009) Parametric optimization of ultrasonic machining of co-based super alloy using the Taguchi multi-objective approach. Prod Eng Res Dev 3: 417–425. doi: 10.1007/s11740-009-0189-6
    [26] Kumar V, Khamba JS (2006) Experimental investigation of ultrasonic machining of an Alumina-based ceramic composite. J Am Ceram Soc 89: 2413–2417.
    [27] Singh R, Khamba JS (2009) Mathematical modeling of tool wear rate in ultrasonic machining of titanium. Int J Adv Manuf Tech 43: 573–580. doi: 10.1007/s00170-008-1729-5
    [28] Kumar V, Khamba, JS (2009) Statistical analysis of experimental parameters in ultrasonic machining of tungsten carbide the Taguchi approach. J Am Ceram Soc 91: 92–96.
    [29] Ross PJ (1996) Taguchi techniques for quality engineering. New York: McGraw–Hill.
    [30] Kumar J, Kumar V (2011) Evaluating the tool wear rate in ultrasonic machining of titanium using design of experiments approach. World Acad Sci Eng Tech 81: 803–808.
    [31] Kataria R, Kumar J, Pabla BS (2016) Experimental investigation and optimization of machining characteristics in ultrasonic machining of WC-Co composite using GRA method. Mater Manuf Process 31: 685–693. doi: 10.1080/10426914.2015.1037910
    [32] Singh RP, Singhal S (2016) Investigation of Machining Characteristics in Rotary Ultrasonic Machining of Alumina Ceramic. Mater Manuf Process.
    [33] Singh RP, Singhal S (2016) Experimental investigation of machining characteristics in rotary ultrasonic machining of quartz ceramic. P I Mech Eng L-J Mat.
    [34] Kataria R, Kumar J (2014) A comparison of the different multiple response optimization techniques for turning operation of AISI O1 tool steel. J Eng Res 2: 161–184.
    [35] Kumar J, Khamba JS, Mohapatra SK (2010) Modelling of the material removal rate in ultrasonic machining of titanium using dimensional analysis. Int J Adv Manuf Tech 48: 103–119.
    [36] Kang IS, Kim JS, Seo YW, et al. (2006) An experimental study on the ultrasonic machining characteristics of engineering ceramics. J Mem>ech Sci Technol 20: 227–233. doi: 10.1007/BF02915824
    [37] Kumar J, Khamba JS (2010) Multi-response optimization in ultrasonic machining of titanium using Taguchi’s approach and utility concept. Int J Manuf Res 5: 139–160. doi: 10.1504/IJMR.2010.031629

    © 2016 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
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