PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Optimization of machining parameters during end milling of super alloys using grey based Taguchi method coupled with entropy measurement technique

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
High-quality products include those with better surface quality and texture, close dimensional tolerances and form accuracies at precise level, increase fatigue life and burr-free. Burr formation is one of the most common inevitable facts occurring in all material removal processes, reduces assembly and machined part quality. But, burr formation during milling is a more complex mechanism compare to remaining machining burrs and leads to numerous difficulties during the deburring process. To prevent this, one should optimize the combination of cutting parameters during machining itself. In order to build up a link between quality and productivity and to attain the same in the cost-effective way, the present work concentrate on multi objective optimization of CNC end milling process parameters. Multiple performance characteristics with respect to surface quality and performance index like assembly work have been put up, to assess an equivalent single quality index (called grey relational grade) has been optimized finally by Grey based Taguchi method. After that priority weight of individual quality and performance attributes has been estimated by entropy measurement technique on the basis of relative significance and check the feasibility of the proposed technique has been demonstrated in this context.
Rocznik
Strony
47--56
Opis fizyczny
Bibliogr. 20 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
Bibliografia
  • 1. Alauddin, M., El Baradie, M. A., & Hashmi, M. S. J. (1996). Optimization of surface finish in end milling Inconel 718. Journal of Materials Processing Technology, Vol. 56(1-4), pp 54-65
  • 2. Hajiahmadi, S. (2019). Burr size investigation in micro milling of stainless steel 316L. International Journal of Lightweight Materials and Manufacture, Vol. 2, No.4, pp 296-304
  • 3. Vipindas, K., Kuriachen, B., & Mathew, J. (2019). Investigations into the effect of process parameters on surface roughness and burr formation during micro end milling of TI-6AL-4V. The International Journal of Advanced Manufacturing Technology, Vol. 100 (5-8), pp1207-1222
  • 4. Shokrani, A., Dhokia, V., & Newman, S. T. (2016). Investigation of the effects of cryogenic machining on surface integrity in CNC end milling of Ti-6Al-4V titanium alloy. Journal of Manufacturing Processes, Vol. 21, 172-179
  • 5. Masmiati, N., & Sarhan, A. A. (2015). Optimizing cutting parameters in inclined end milling for minimum surface residual stress - Taguchi approach. Measurement, Vol. 60, pp 267-275
  • 6. Ulutan, D., & Ozel, T. (2011). Machining induced surface integrity in titanium and nickel alloys: A review. International Journal of Machine Tools and Manufacture, Vol. 51, No.3, pp 250-280
  • 7. Luo, M., Luo, H., Zhang, D., & Tang, K. (2018). Improving tool life in multi-axis milling of Ni-based superalloy with ball-end cutter based on the activecutting edge shift strategy. Journal of Materials Processing Technology, Vol. 252, pp 105-115
  • 8. Singh, G., Gupta, M. K., Mia, M., & Sharma, V. S. (2018). Modeling and optimization of tool wear in MQL-assisted milling of Inconel 718 superalloy using evolutionary techniques, The International Journal of Advanced Manufacturing Technology, Vol. 97 (1-4), pp 481-494
  • 9. Thellaputta, G. R., Chandra, P. S., & Rao, C. S. P. (2017). Machinability of nickel based super alloys:a review. Materials Today: Proceedings, Vol. 4, No. 2, pp 3712-3721
  • 10. Karidkar, S. S., & Dabade, U. A. (2016). Experimental Investigation and Optimization of Response Variables in WEDM of Inconel-718, In IOP Conference Series: Materials Science and Engineering, Vol. 114, No. 1, pp 1-9. IOP Publishing
  • 11. Manohar, M., Joseph, J., Selvaraj, T., & Sivakumar,D. (2013). Application of Box Behnken design to optimize the parameters for turning Inconel 718 using coated carbide tools. International Journal of Scientific & Engineering Research, Vol. 4, No.4, pp 620-644
  • 12. Janos, M., & Mrkvica, I. (2012). Milling Possibilities of Material Inconel 718. Journal of Manufacturing and Industrial Engineering, Vol. 11, No.4, pp 16-18
  • 13. Lu, X., Wang, F., Wang, X., Lu, Y., & Si, L. (2017). A surface roughness prediction model using responsesurface methodology in micro-milling Inconel 718. International Journal of Machining and Machinability of Materials, Vol. 19, No.3, pp 230-245
  • 14. Sreenivasulu, R., Hussain, S. H., & Vineeth, R. V. (2018). Taguchi Based Experimental Studies on Surface Roughness and Burr Formation during End Milling of Inconel 718. AKGEC International Journal of Technology, Vol. 9, No. 1, pp 65-71
  • 15. Hashimura, M., Hassamontr, J., & Dornfeld, D. A. (1999). Effect of in-plane exit angle and rake angles on burr height and thickness in face millingoperation, Journal of Manufacturing Science and Engineering, Vol. 121, No. 1, pp 13-19
  • 16. Niknam, S. A., & Songmene, V. (2015). Milling burr formation, modeling and control: a review. Proceedings of the Institution of Mechanical Engineers, Part B:Journal of Engineering Manufacture, Vol. 229, No. 6, pp 893-909
  • 17. Niknam, S. A., & Songmene, V. (2013). Modeling of burr thickness in milling of ductile materials. TheInternational Journal of Advanced Manufacturing Technology, Vol. 66 (9-12), pp 2029-2039
  • 18. Julong, D. (1989). Introduction to grey system theory. The Journal of grey system, Vol. 1, No. 1, pp 1-24
  • 19. Sreenivasulu, R., Rao, C. S., & Ravindra, K (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, No. 2, pp 133-141
  • 20. Sreenivasulu, R., Rao, C., & Ravindra, K. (2020). Effect of thrust and torque exerted during drilling to optimize exit burr height and thickness by choosing variable drill bit geometry: A simplified theoretical model approach. International Journal of Data and Network Science, Vol. 4, No. 1, pp 43-56
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-a1390eba-7bff-4430-a180-b61ad885477c
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.