Multi Response Optimization of Process Parameters during Machining of Aluminium by Satisfaction Function
L R Bhandarkar1, P P Mohanty2, S K Sarangi3, M Behara4, S S Chakrabarti5
1L R Bhandarkar, Mechanical Department, Veer Surendra Sai University of Technology, Burla, Odisha, India.
2P P Mohanty, Mechanical Department, Veer Surendra Sai University of Technology, Burla, Odisha, India.
3S K Sarangi, Mechanical Department, Veer Surendra Sai University of Technology, Burla, Odisha, India.
4M Behara, Mechanical Department, Veer Surendra Sai University of Technology, Burla, Odisha, India.
5S S Chakrabarti, Mechanical Department, OP Jindal University, Raigarh, Chhattisgarh, India.
Manuscript received on 10 August 2019. | Revised Manuscript received on 15 August 2019. | Manuscript published on 30 September 2019. | PP: 8591-8596 | Volume-8 Issue-3 September 2019 | Retrieval Number: C6270098319/2019©BEIESP | DOI: 10.35940/ijrte.C6270.098319
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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: Economical machining operation plays an important part in competitiveness in the industries therefore selection of optimum cutting parameters is of great concern in manufacturing environments. The current research is aimed at fixing the optimal process parameters for hard turning of aluminum in CNC lathe machine using carbide tool as per the machinability aspects. On the basis of three-factor-three-level L9 orthogonal array, trials are performed by varying the manageable process constraints which are spindle speed, depth of cut and feed rate. Performance of machining has been figured by several responses like Surface Roughness and Material Removal Rate. Towards optimization above mentioned performance factors are treated as purpose functions, assuming that it corresponds to Higher-is-better and Lower-is-Better requirement respectively. Satisfaction function approach is used in this paper to find out satisfactions of individual responses enabling gathering of multi-responses into a comparable sole index.
Keywords: Cutting Parameters, Material removal Rate, Surface Finish, Taguchi Method.
Scope of the Article: Discrete Optimization