Optimization Of Machining Process Parameters In Turning And Drilling By using Design Of Experiments With Aluminum 6061-O Alloy And Austenitic Stainless Steel
A. Suresh1, G. Diwakar2
1Mr. A. Suresh, Currently pursuing PhD from K L Deemed to be University, Vaddeshwaram, Andhra Pradesh, India.
2Dr. G. Diwakar, Professor of Mechanical Engineering Department of Mechanical Engineering, K L (Deemed to be University), Vaddeshwaram, Guntur, India.
Manuscript received on 26 August 2019. | Revised Manuscript received on 17 September 2019. | Manuscript published on 30 September 2019. | PP: 625-633 | Volume-8 Issue-11, September 2019. | Retrieval Number: K16000981119/2019©BEIESP | DOI: 10.35940/ijitee.K1600.0881119
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© 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 is required everywhere particularly in the industrial sector. As a part of that machining emphasized in this paper to optimize the parameters involved in the turning and drilling operation on CNC machines using the Aluminum and Stainless steel alloys. The task is initiated with design of experiments and hence the cost of operation is also reduced. During the experimental process the input parameters involved for turning were considered as cutting speed, feed and depth of cut. And for the drilling operation the input process parameters considered were speed of drill, feed. The output parameters emphasized were surface roughness and dimensional accuracy. By the investigation using the experiments, it in turn leads to an optimized environment for the operation that was carried out. Taguchi technique is a widely used and efficient technique for correlating the process parameters for an efficient and effective operation. Then the process L9 and L16 orthogonal arrays were chosen and signal to noise ratios were computed. At the end the input parameters speed, feed, depth of cut, depth of drill and outcome parameters surface roughness, material removal rate and time of operation were optimized.
Keywords: Optimization, Process parameters, Design of experiments
Scope of the Article: Design Optimization of Structures