Optimizing the Process Parameters of Drilling on Aluminium Alloy 7075 using taguchi and Anova Techniques
BhonagiriRamesh1, CH Bandhavi2, Ram subbiah3, N.Sateesh4
1Bhonagiri Ramesh*, PG Student, Mechanical Engineering, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, India
2CH Bandhavi, Assistant Professor, Mechanical Engineering, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, India
3Dr.Ram subbiah , Associate Professor, Mechanical Engg, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, India
4Dr. N.Sateesh, Professor, Mechanical Engineering, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, India
Manuscript received on December 16, 2019. | Revised Manuscript received on December 26, 2019. | Manuscript published on January 10, 2020. | PP: 2460-2464 | Volume-9 Issue-3, January 2020. | Retrieval Number: B7516129219/2020©BEIESP | DOI: 10.35940/ijitee.B7516.019320
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Abstract: In many material processing and manufacturing industries quality and productivity are two important requirements but these are more antithetical criteria in any machining operations. So, it is vital to optimize the productivity and quality simultaneously. The main objective of this paper is to optimize the process parameters of drilling operations such as cutting speed, feed, and point angle on aluminum alloy 7075. Al 7075 is one of the multifunctional materials in various applications. Taguchi is mostly used for data analysis and optimization of process parameters for getting maximum material removal rate and least surface roughness factor. Machining operations were conducted on CNC milling machine. The number of drilling experiments was performed on aluminum 7075 using HSS drill bit on CNC milling machine. The investigation of variance (ANOVA) was engaged to find the most notable control factors affecting the material removal rate & surface roughness. The conclusions of present work were drawn from several experimental trails; it was found that at the 9th experimental trail, point angle was most significant x factor for surface roughness and feed is the most affecting factor for material removal rate.
Keywords: Drilling 1, Aluminum7075 2, Material Removal rate 3, Surface Roughness 4, Taguchi & CNC 5
Scope of the Article: Data Mining Methods, Techniques, and Tools