Experimental Investigation of Factors Affecting Milling Operation

satypal WARGHAT, DR. T. R. Deshmukh

Abstract


CNC milling is an ideal adaption of the conventional milling process which uses an end mill cutter for the machining operation. Plain milling is one of the essential machining operations and it is used for planning the top surface of component to achieve the high accuracy with good surface finish. In this work, plain milling operation is performed on CNC milling machine. The parallel shank end milling cutter having 14 mm diameter, M2 grade is used for the operation. Mild Steel containing 20% Carbon is used as work piece. The dimension of work piece is taken as 55×50×16 mm. Full factorial experimentation is carried out for conducting pilot experiments to study the effects of machining parameters such as spindle speed, feed and depth of cut on surface roughness and material removal rate in minimum machining time. After experimentation it is observed that the effect of surface roughness is increased when material removal rate is high. Both surface roughness and material removal rate is inversely proportional to each other. 


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References


. M. Nalbant et al (2006), Application of Taguchi method in the optimization of cutting parameters for surface roughness in turning. Material and Design, pp. 1379–1385.

. Rajendra, Deepak D (2015), Optimization of Process Parameters for Increasing Material Removal Rate for Turning Al6061 Using S/N ratio. International Conference on Emerging Trends in Engineering, Science and Technology (ICETEST - 2015), Procedia Technology, pp. 399 – 405.

. Sayak Mukherjee et al (2014), Optimization of Material Removal Rate During Turning of SAE 1020 Material in CNC Lathe using Taguchi Technique. 12th Global Congress On Manufacturing And Management, GCMM , Procedia Engineering 97, pp. 29 – 35.

. Lohithaksha M Maiyara et al (2013), Optimization of Machining Parameters for End Milling of Inconel 718 Super Alloy Using Taguchi Based Grey Relational Analysis. International Conference on Design and Manufacturing, IConDM 2013, Procedia Engineering 64, pp. 1276 – 1282.

. Julie Z Zhang et al (2007), Surface Roughness Optimization in an End Milling Operation Using the Taguchi Design Method. Journal of Material Processing Technology 284, pp.234-239.

. A Mansour, H Abdulla (2002), Surface Roughness Model for End Milling: A Semi Free Cutting Carbon Case Hardening Steel EN32 in Dry Condition. Journal of Material Processing Technology 124, pp.183-191.

. N.V.Mahesh Babu Talupula, Nersu Radhika (2015), Experimental Investigation Of Optimal Machining Parameters Of Mild Steel In CNC Milling Using Particle Swarm Optimization. IPASJ International Journal of Computer Science (IIJCS), Volume 3, Issue 1, pp.13-28.

. Hrelja Marko et al (2013), Turning Parameters Optimization using Particle Swarm Optimization. 24th DAAAM International Symposium on Intelligent Manufacturing and Automation, Procedia Engineering 69, pp.670 – 677.

. Girish Kant, Kuldip Singh Sangwan (2015), Predictive Modelling and Optimization of Machining Parameters to Minimize Surface Roughness using Artificial Neural Network Coupled with Genetic Algorithm. 15th CIRP Conference on Modelling of Machining Operations, Procedia CIRP 31, pp.453 – 458.

. Uros Zuper, Franc Cus (2016), End Milling Optimization Using Teaching-Learning Based Optimization Algorithm Combined With Cutting Force Model. Proceedings in Manufacturing Systems, Volume 11, Issue 2, pp. 57‒62.

. B.T.H.T Baharudin et al (2012), Experimental Investigation of HSS Face Milling to AL6061 using Taguchi Method. Procedia Engineering 50, pp.933 – 941.

. Azlan Mohd Zaina et al (2010), Application of GA to optimize cutting conditions for minimizing surface roughness in end milling machining process. Expert Systems with Applications 37, pp.4650–4659


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MAYFEB Journal of Mechanical Engineering
MAYFEB TECHNOLOGY DEVELOPMENT
Toronto, Ontario, Canada