Determination of Optimum Parameters for Drilling Stainless Steel using Response Surface Methodology (RSM)

Main Article Content

P. B. Mogaji
O. A. Raimi


The study investigated the application of Response Surface Methodology (RSM) in determination of optimum parameters required for drilling stainless steel based on L9-A 34-2 fractional factorial design. The SS304 stainless steel workpiece is of length 200mm, breadth of 80mm and thickness of 0.75mm. The study employed the following process parameters namely, cutting speed which ranges from 1400-1700rpm, feed rate which ranges from 0.11- 0.75mm/rev, depth of cut which ranges from 0.25-0.75mm and tool which ranges from 6-8mm, for minimizing surface roughness of drilled hole in SS304 stainless steel. Analysis of Variance (ANOVA) was carried out to test for the significant level of the process parameters for optimizing surface roughness. The findings revealed that for an optimal value of drilling parameters for minimizing surface roughness, cutting speed, feed rate, depth of cut and tool should be set at 1500rpm, 0.35mm/rev, 0.50mm and 6mm, for a surface roughness value of 6.56μm. The findings also revealed that there exist with a good agreement between the estimated and experimental results based on the mathematical model formulated.

Article Details



Arshad, N.S., Zahid, A.K., Pankul, G., and Mukesh, K., (2014): Optimization of Deep Drilling Process Parameters of AISI 321 Steel using Taguchi Method. 3rd International Conference on Materials Processing and Characterisation (ICMPC), Procedia Materials Science (6): 1217-1225

Ferit, F., Sakip, K., and Karacadag, M.C., (2012): Optimization of Cutting Parameters for Surface Roughness of Stainless Steel in Drilling Process. International Journal of Science and Advanced Technology, 2(3), 114-121, March

Ficici F, Koksai S and Karacadag M C (2012), “Optimization of Cutting Parameters for Surface Roughness of Stainless Steel in Drilling Process”, International Journal of Science and AdvancedTechnology, Vol. 2, No. 3, pp.114-121.

Gaitonde, V.N., and Karnik, S.R., (2012): Selection of Optimal Process Parameters for Minimizing Burr Drilling using Taguchi's Quality Function Approach. J. of the Braz. Soc. Of Mech. Sci. & Eng., 34(3): 238-245, July - September

Kunal, S., and Abhishek, J., (2015): Optimization of Machining Parameters in Drilling of Stainless Steel. International Journal of Scientific Research Engineering & Technology (IJSRET), 4(8): 902-908, August

Nayan, G.K., and Gaurav, K.S., (2014): Experimental Evaluation and Optimization of Dry Drilling Parameters of AISI 304 Austenitic Stainless Steel using Different Twist Drills 5th International & 26th All India Manufacturing Technology, Design and Research Conference (AIMTDR), (543): 1-7, 12th-14th December

Osarenmwinda, J.O., (2012): Empirical Model for Estimating the Surface Roughness of Machined Components under various Cutting Speed. J. Appl. Sci. Environ. Manage. 16(1): 65-68, March

Sudha, K., Kapil, K.G., & Vivek, J., (2013): Optimization of Cutting Parameters for Surface Roughness of Stainless Steel SS304 in Abrasive Assisted Drilling. International Journal of Mechanical Engineering and Robotics Research, 2(4): 210-215, October

Sundeep, M., Sudhahar, M., Kannan, T.T.M., Kumar, P.V., and Parthipan, N., (2014): Optimization of Drilling Parameters on Austentic Stainless Steel (AISI 316) using Taguchi's Methodology. International Journal of Mechanical Engineering and Robotics Research, 3(4):388-394, October