Loading

Optimization of Machining Parameters on 7075 Aluminum Alloy using Taguchi and ANOVA for Surface Roughness
T.Vijaya Babu1, P.Satyanarayana Raju2, M.Ashok Kumar3, KVP Chakradhar4

1T.Vijaya Babu*, Mechanical Engineering , Vardhaman College of Engineering , Shamshabad , Hyderabad, India.
2P.Satyanaraya Raju, Mechanical Engineering , Vardhaman College of Engineering , Shamshabad , Hyderabad, India.
3M.Ashok kumar, MechanicalEngineering , Vardhaman College of Engineering , Shamshabad , Hyderabad, India.
4KVP Chakradhar, Mechanical Engineering , Vardhaman College of Engineering , Shamshabad , Hyderabad, India.
Manuscript received on January 02, 2020. | Revised Manuscript received on January 15, 2020. | Manuscript published on January 30, 2020. | PP: 90-95 | Volume-8 Issue-5, January 2020. | Retrieval Number: C6170098319/2020©BEIESP | DOI: 10.35940/ijrte.C6170.018520

Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Optimization of the parameter to provide best solution to reduce the tool wear , surface roughness, cutting forces presented using optimization technique .In present work an experimental study is made. In this Taguchi design of experiment methodology for optimization of parameters on 7075Aluminium alloy using tungsten coated electrode . Experiments were conducted based on L27 standard orthogonal array with three processes parameters are cutting speed, feed, depth of cut . Electrical discharge machining is generally calculated on the basis of Surface Roughness (SR),Tool wear rate (TWR) and cutting force (CF) .The ANOVA(Analysis Of Variance) is used to study the performance characteristics in turning operation . ANOVA placed an important role for producing higher roughness . Finally the software ,MINITAB 17 was used and results obtained.
Keywords: 7075 Alumimium alloy, SR, Taguchi, ANOVA .
Scope of the Article: Waveform Optimization For Wireless Power Transfer.