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Response Surface Approach of Optimization to study the Effects of Drilling Parameters in AISI-304 Stainless Steel

Braj Mohan Sharma, M. K. Gaur, Saurabh Agrawal

Abstract


The effect of cutting parameters specifically cutting speed, feed rate, drill depth and drill diameter during drilling of AISI-304 stainless steel material on automatic radial drilling machine (RM-62) at different level presents in this work. All the cutting parameters are modeled using response surface methodology (RSM). The impact of cutting speed, feed rate, drill depth and drill diameter on the machining time, average roughness and peak roughness is examined. Finally, the result of developed mathematical model is scrutinized by ANOVA. On the basis of experimented results, it indicates that the drill depth (DD) and drill diameter (D Dia.) shows a strong effect and cutting speed (CS) and feed rat (FR)e has a smaller effect on machining time (MT) and average roughness (Ra). The feed rate (FR) and drill diameter (D Dia.) show a strong effect and Cutting speed (CS) AND drill depth (DD) has a smaller effect on Peak roughness (Rz

Keywords


Drilling process, optimization, machining parameters, response surface methodology (RSM

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References


Agrawal S, Gaur MK, Kasdekar DK, Agrawal S, Malvi CS. Optimal Machining Conditionfor Turning of Hard Porcelain using Response Surface Methodology. European Journal of Advances in Engineering and Technology. 2015: 2(5): 44–51p.

Wang Z, Meng H, Fu J. Novel Method for Evaluating Surface Roughness by Grey Dynamic Filtering, Journal of Measurement. 2010; 43(1): 78– 82p.

Asilturk I, Neseli S. Multi Response Optimization of CNC Turning Parameters via Taguchi Method-based Response Surface Analysis. Journal of Measurement. 2012; 45(4): 785–794p.

Mahapatra SS, Patnaik A, Patnaik P. Parametric Analysis and Optimization of Cutting Parameters for Turning Operations based on Taguchi Method, Proceedings of the Int. Conference on Global Manufacturing and Innovation. 2006; 1–6p.

Gupta MK, Singh G, Sood PK. Modelling and Optimization of Tool Wear in Machining of EN24 Steel using Taguchi Approach. The Institute of Engineers. 2015; Series C: 1–9p.

Cicek A, Kivak T, Ekici E. Optimization of Drilling Parameters using Taguchi Technique and Response Surface Methodology (RSM) in Drilling of AISI 304 Steel with cryogenically treated HSS Drills. Springer Science. 2013; 1–11p.

Senthilkumar N, Tamizharasan T, Gobikannan S. Application of Response Surface Methodology and Firefly Algorithm for Optimizing Multiple Responses in Turning AISI 1045 Steel. Springer Science. 2014; 39(11): 8015–8030p.

Manimaran G, Kumar PM, Venkatasamy R. Influence of Cryogenic Cooling on Surface Grinding of Stainless Steel 316. Cryogenics. 2014; 59: 76–83p.

Camposeco-Negrete C. Optimization of Cutting Parameters using Response Surface Method for Minimizing Energy Consumption and Maximizing Cutting Quality in Turning of AISI 6061 T6 Aluminum. Elsevier. 2014; 1–9p.

Latha B, Senthilkumar VS. Modeling and Analysis of Surface Roughness Parameters in Drilling GFRP Composites using Fuzzy Logic. Journal of Materials and Manufacturing Processes. 2010; 25(8): 817–827p.

Palanikumar K. Modelling and Analysis of Delimitation Factor and Surface Roughness in Drilling GFRP Composites. Journal of Materials and Manufacturing Processes. 2010; 25: 1059–1067p.

Sun H, Lee S. Response Surface Approach to Aerodynamic Optimization Design of Helicopter Rotor Blade. International Journal for Numerical Methods in Engineering. 2005, 64(1), 125–142.

Correia AE, Davim JP. Surface Roughness Measurement in Turning Carbon Steel AISI 1045 using Wiper Inserts. Journal of Measurement. 2011; 44(5): 1000–1005p.

Oliveira JFG, Silva EJ, Guo C, Hashimoto F. Industrial Challenges in Grinding. Annals of the CIRP. 2009; 58(2): 663–680p.

Doman DA, Warkentin A, Bauer R. A Survey of recent grinding wheel topography models. International Journal of Machine Tools and Manufacture. 2006; 46(3): 343–352p.

Aloufi M, Kazmierski TJ. A Response Surface Modelling Approach to Performance Optimisation of Kinetic Energy Harvesters. IJRRCS Simulation Benchmarking and Modelling of Systems and Communication Networks. 2011; 1–8p.

Gaitonde VN, Karnik SR, Faustino M, Davim JP. Machinability Analysis in Turning Tungsten–Copper Composite for Application in EDM Electrodes. Int. J. Refract. Metals Hard Mater. 2009; 27: 754–763p.

Kathleen MC, Natalia YK, Jeff R. Centre for Computational Analysis of Social and Organizational Systems (CASOS), Technical Report, 2004.

Myers RH, Douglas CM, Anderson-Cook CM. Process and Product Optimization using Designed Experiments, 3rd Edn, John Wiley & Sons. 2009.

Kaymaz I, McMahon CA. A Response Surface Method Based on Weighted Regression for Structural Reliability Analysis. Journal of Probabilistic Engineering Mechanics. 2005; 20(1): 11–17p.

Neseli S, Yaldız S, Türkes E. Optimization of Tool Geometry Parameters for Turning Operations based on the Response Surface Methodology. Journal of Measurement. 2010; 44(3): 580–587p

K Bouacha, MA Yallese, T Mabrouki and JF Rigal, Statistical Analysis of Surface Roughness and Cutting Forces using Response Surface Methodology in hard Turning of AISI 52100 Bearing Steel with CBN Tool, Int. J. Refract. Metals Hard Mater. 2010, 28(3), 349–361p




DOI: https://doi.org/10.37591/joma.v4i2.7231

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