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Optimum combination of machining parameters during drilling of aluminium 7075 alloys using Grey based Taguchi approach

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
From ancient days to till today manufacturing industries, especially making of holes on the parts during drilling process for precision assembling of parts facing problems with burr formation. Drilling operation is one of the finishing operation in the production cycle, removing of burrs during drilling process is a time consuming and non-value added process to the manufacturing sector. So reducing the size of burrs is the main aim of the present study. In the present work, optimization of burr size is considered during drilling of aluminium 7075 alloy. In this connection, experiments are conducted based on Grey based Taguchi. From Grey relational grades of responses selected optimal combination of parameters to attain multiple performance characteristics of responses with a corresponding higher grey relational grade. For identifying the most significant input parameters that influence the output responses ANOVA is conducted. Based on interaction effect plots of data means of responses from results of ANOVA, confirmation tests are conducted by choosing most significant parameters. Finally, observations reveals that feed rate, point and clearance angles are the most influential factors on burr size and also experimental results divulge that the lower the thrust force causes to decrease the burr height. The proposed approach is helpful to the budding entrepreneurs in the related areas to select optimal combination of drilling parameters to attain multiple performance characteristics of responses especially in burr size to prevent the post finishing operations up to certain extent.
Rocznik
Strony
227--238
Opis fizyczny
Bibliogr. 16 poz., rys., tab., wykr.
Twórcy
  • R.V.R & J.C. College of Engineering (Autonomous), Department of Mechanical Engineering, Guntur, Andhra Pradesh
  • University College of Engineering (Autonomous), Department of Mechanical Engineering, Andhra University, Visakhapatnam, Andhra Pradesh, INDIA
Bibliografia
  • 1. Gillespie, L.K. and Blotter, F.T. (1976). The Formation and Properties of Machining Burrs, Transactions of ASME, Journal of Engineering for Industry, Volume 98, No. 2 (1976), pp. 66-74.
  • 2. Kim J., Min S., Dornfeld D. (2001), Optimization and Control of Drilling Burr Formation of AISI 304L and AISI 4118 Based on Drilling Burr Control Charts. International Journal of Machine Tools & Manufacture, Vol. 41(7), pp. 923-936.
  • 3. Reddy Sreenivasulu, Ch. Srinivasa Rao (2013), Design of Experiments based Grey Relational Analysis in Various Machining Processes - A Review, Research Journal of Engineering Sciences (International Science Congress Association) Vol. 2 (1), pp. 21-26.
  • 4. Reddy Sreenivasulu, Ch. Srinivasa Rao (2018), Modelling, Simulation and Experimental validation of Burr size in Drilling of Aluminium 6061 alloy, Procedia Manufacturing (Elsevier), Vol. 20, pp. 458-463.
  • 5. Reddy Sreenivasulu, Ch. Srinivasa Raoand K. Ravindra (2019), Grey based Taguchi approach integrated with Entropy Measurement for optimization of Surface Roughness and Delamination Damage factor during End Milling of GFRP Composites, International Journal of Modern Manufacturing Technologies, Vol XI, Issue 2, pp. 133-141.
  • 6. D.F. Galloway (1957), Some experiments on the influence of various factors on drill performance, Transactions of the ASME, Vol. 79, pp. 191-231.
  • 7. Gillespie, L.K. (1998). An integrated international standard for burrs and edge finishing, report WBTC STD-14, Deburring Technology International, Inc., Kansas City, MO.
  • 8. J. Hirsch (2014), Recent development in aluminium for automotive applications, Transactions of Nonferrous Metals Society of China, Vol. 24, pp. 1995-2002.
  • 9. Gillespie, L.K. (1975), Burrs Produced by Drilling, Bendix Corporation, Unclassified Topical Report, pp. 613-1248.
  • 10. Gillespie, L.K. (1976). Effects of Drilling Variables on Burr Properties, Bendix Corporation, Unclassified Topical Report, pp. 613-1502.
  • 11. Sofronas, A., Spurgeon, M. and Taraman, K., Reduction of Burr Formation in Drilling, SME Technical Papers (1975), MR 75-376, Detroit, Ml.
  • 12. Deng Julong (1989), Introduction to Grey system theory, Journal of Grey system, Vol. 1, pp. 1-24.
  • 13. Sreenivasulu R., Rao Ch. S. (2020) Optimization of machining parameters during end milling of super alloys using grey based Taguchi method coupled with entropy measurement technique. Journal of Mechanical and Energy Engineering, Vol. 4(44), No. 1, pp. 47-56.
  • 14. Sreenivasulu, R., & Srinivasa Rao, C. (2019). Review on Investigations Carried out on Burr Formation in Drilling During 1975 To 2020.Technological Engineering, Vol. 16(1), 43-57.
  • 15. Md Zakir Hussain, Sabah Khan, Pranjal Sarmah (2020)Optimization of powder metallurgy processing parameters of Al2O3/Cu composite through Taguchi method with Grey relational analysis, Journal of King Saud University – Engineering Sciences, Vol. 32, pp. 274-286.
  • 16. Sreenivasulu, R., Srinivasa Rao, C. (2019). Review on Investigations Carried out on Burr Formation in Drilling During 1975 To 2020,Technological Engineering, Vol. 16, No. 1, pp. 43-57
Uwagi
PL
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-8e9bd9a5-3fe8-4426-bd57-3768fe761675
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