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Experimental Investigation and Optimization of Machining Parameters in Turning of Aluminum Alloy 075-T651

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Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Aluminum alloy 7075-T651 is a widely used material in the aviation, marine, and automobile sectors. The wide application marks the importance of this material’s research in the manufacturing field. This research focuses on optimizing input process parameters of the turning process in the machining of Aluminum 7075-T651 with a tungsten carbide insert. The input machining parameters are cutting speed, feed, and depth of cut for the output response parameters cutting force, feed force, radial force, material removal, and surface roughness of the workpiece. For optimization of process parameters, the Taguchi method, with standard L9 orthogonal array, is used. ANOVA is applied to obtain significant factors and optimal combinations of process parameters.
Rocznik
Strony
296--305
Opis fizyczny
Bibliogr. 23 poz., rys., tab.
Twórcy
  • Department of Mechanical Engineering, UIET, CSJMU, Kanpur, India
  • Department of Mechanical Engineering, UIET, CSJMU, Kanpur, India
  • Department of Mechanical Engineering, UIET, CSJMU, Kanpur, India
  • Department of Mechanical Engineering, UIET, CSJMU, Kanpur, India
  • Department of Mechanical Engineering, UIET, CSJMU, Kanpur, India
Bibliografia
  • 1. Ajithkumar, J.P. and Xavior, M.A., 2019. Cutting Force and Surface Rough-ness Analysis During Turning of Al 7075 Based Hybrid Composites. Procedia Manufacturing, 30, 180-187.
  • 2. Cagan, S.C., Venkatesh, B., Buldum, B.B., 2020. Investigation of surface roughness and chip morphology of aluminum alloy in dry and minimum quantity lubrication machining. Materials Today: Proceedings, 27, 1122-1126.
  • 3. Das, D., Sahoo, B.P., Bansal, S., Mishra, P., 2018. Experimental investigation on material removal rate and chip forms during turning T6 tempered Al 7075 alloy. Materials Today: Proceedings, 5(2), 3250-3256.
  • 4. Deepak, D., Rajendra, B., 2015. Investigations on the surface roughness produced in turning of Al6061 (As-Cast) by Taguchi method. Int. J. Eng. Res. Techn, 4(8), 295-298.
  • 5. Dabhi, B.R., Parmar, K.V., 2015. Optimization of CNC Face Milling Process Parameters for WC with TiCN Coated Tool Life. International Journal for Scientific Research & Development (IJSRD), 3(5), 57-64.
  • 6. Gupta, M.K., Sood, P.K., 2015. Optimization of machining parameters for turning AISI 4340 steel using Taguchi based grey relational analysis. Indian Journal of Engineering and Material Sciences, 22, 679-685.
  • 7. Gangopadhyay, S., Acharya, R., Chattopadhyay, A.K., Sargade, V.G., 2010. Effect of cutting speed and surface chemistry of cutting tools on the for-mation of BUL or BUE and surface quality of the generated surface in dry turning of AA6005 aluminium alloy. Machining Science and Tech-nology, 14(2), 208-223.
  • 8. Junge, T., Liborius, H., Mehner, T., Nestler, A., Schubert, A., Lampke, T., 2020. Measurement system based on the Seebeck effect for the determination of temperature and tool wear during turning of aluminum al-loys. Procedia CIRP, 93, 1435-1441.
  • 9. Mali, R.A., Agrahari, M.D., Gupta, T.V.K., 2020. FE based simulation and experimental validation of forces in dry turning of aluminium 7075. Materials Today: Proceedings, 27, 2319-2323.
  • 10. Mishra, G., Srivastava, A., Verma, A.S., Niranjan, R.S., 2018. Optimization of the radial cutting force in turning operation of Inconel718. Asian J Sci Tech, 9(3), 7705-7707.
  • 11. Mishra, G., Srivastava, A., Verma, A.S., Niranjan, R., 2018. Optimization of Cutting Force, Feed Force and Material Removal Rate (MRR) in Turning of Inconel 718. International Journal of Science and Research(IJSR),7(6), 824-827.
  • 12. Makadia, A.J., Nanavati, J.I., 2013. Optimisation of machining parameters for turning operations based on response surface methodology. Measurement, 46(4), 1521-1529.
  • 13. Pandey, G.K, Yadav, S.K., 2020. Multi-Response Optimization of Vibration Assisted Electrical Discharge Drilling Process using PCA based GRA approach. Materials Today: Proceedings., 22, 2906-15.
  • 14. Reddy, G.B., Venumurali, J., Sankara, Y., Sivaramudu, G., 2017. Parametric Optimization of Lathe Turning for Al-7075 Alloy Using Taguchi: An Ex-perimental Study.
  • 15. Srivastava, A., Bartarya, G., 2015. Thermal aspects in machining of superalloy. In Proc. National Conf. on Innovations in Materials, Design and Manufacturing,HBTI, Kanpur, 326-334.
  • 16. Schindler, S., Zimmermann, M., Aurich, J.C., Steinmann, P., 2014. Thermo-elastic deformations of the workpiece when dry turning aluminum alloys-A finite element model to predict thermal effects in the workpiece. CIRP Journal of Manufacturing Science and Technology, 7(3), 233-245.
  • 17. Sahithi, V.V.D., Malayadrib, T., Srilatha, N., 2019. Optimization of turning parameters on surface roughness based on Taguchi technique. Materials Today:Proceedings, 18, 3657-3666.
  • 18. Singh, K., Singh, A.K., Chattopadhyay, K.D., 2020. Selection of optimal cut-ting conditions and coolant flow rate (CFR) for enhancing surface finish in milling of aluminium alloy. Materials Today: Proceedings, 21, 1520-1524.
  • 19. Viramgama, B.D.K., 2016. Optimization of Surface Roughness for CNC Turning Process Parameters while Working on Stainless Steel SS410.
  • 20. Verma, M, Gautam, Y, Niranjan, R, Singh, A,. 2018. Optimization of the Feed Force and Cutting Force in Turning Operation of EN-8 Steel, International Journal of Research in Advent Technology, 6(7), 1713-1716.
  • 21. Macek, W, Szala, M, Trembacz, J, Branco, R, Costa, J., 2020. Effect of non-zero mean stress bending-torsion fatigue on fracture surface parameters of 34CrNiMo6 steel notched bars. Production Engineering Archives, 26(4), 167-173.
  • 22. Macek, W., Marciniak, Z., Branco, R., Rozumek, D. Królczyk, M., 2021. A fractographic study exploring the fracture surface topography of S355J2 steel after pseudo-random bending-torsion fatigue tests, Measurement, 178, 109443.
  • 23. ASM International., 1990. Metals Handbook Vol. 2: Properties and Selection: Nonferrous Alloys and Special-Purpose Materials. ASM.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-7f79d908-a642-471e-883f-e6d19b7fa745
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