Investigation the Optimization of Machining Parameters to Surface Roughness in Free Form Surface of Composite Material
Abstract
The aim of this research is to investigation the optimization of the machining parameters (spindle speed, feed rate, depth of cut, diameter of cutter and number of flutes of cutter) of surface roughness for free-form surface of composite material (Aluminum 6061 reinforced boron carbide) by using HSS uncoated flat end mill cutters which are rare use of the free-form surface. Side milling (profile) is the method used in this study by CNC vertical milling machine. The purpose of using ANFIS to obtain the better prediction of surface roughness values and decreased of the error prediction value and get optimum machining parameters by using Taguchi method for the best surface roughness at spindle speed 4500 r.p.m, 920mm/rev feed rate, 0.6mm depth of cut, 10mm diameter, 2 flute.
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References
Mustafa Kurt, Selim Hartomacýoð, Bilçen Mutlu,Uður Köklü” Minimization of the surface roughness and for merror on the milling of free-form surfaces using a grey ralational analysis” Original scientific article,pp.205-213, 2012.
J.M. Redonnet, W. Rubio, F. Monies and G. Dessein” Optimising Tool Positioning for End-Mill Machining of Free-Form Surfaces on 5-Axis Machines for both Semi-Finishing and Finishing” International Journal Advancing Manufacturing Technol,2000.
Lufeng CHEN, Pengcheng HU, Ming luo, Kai TANG “Optimal interface surface determination for 4 multi- axis freeform surface machining with 5 both roughing and finishing”, Chinese Journal of Aeronautics, pp.15,2017.
M Rybicki” Problems during Milling and Roughness Registration of Free-form Surfaces”, Journal of Physics, 2014.
Shaghayegh Shajari, Mohammad Hossein Sadeghi, and Hamed Hassanpour,” The Influence of Tool Path Strategies on Cutting Force and Surface Texture during Ball End Milling of Low Curvature Convex Surfaces”, the Scientific World Journal, pp.14,2014.
Rodrigo Henriques Lopes da Silva & Amauri Hassui1” Cutting force and surface roughness depend on the tool path used in side milling: an experimental investigation”, The International Journal of Advanced Manufacturing Technology, 2018.
István SZALÓKI, Sándor SIPOS, Zsolt János VIHAROS “Aluminum-based MMC machining with carbide cutting tool” ICPM 2015 Congress 8th International Congress on Precision Machining, pp.151-156,2015.
S Jeyakumar, K Marimuthu &T Ramachandran “optimization of machining parameters of Al6061 composite to minimize the surface roughness-modelling using RSM and ANN’’Indian Journal of Engineering & Materials Sciences, Vol.22, pp.29-37,2014.
M. Nalbant, H.Go¨kkaya, G. Sur” Application of Taguchi method in the optimization of cutting parameters for surface roughness in turning”, Materials and Design journal, 2007.
S.S.Chaudhari, S.S. Khedkar , N.B. Borkar,” Optimization of process parameters using Taguchi approach with minimum quantity lubrication for turning”, International Journal of Engineering Research and Applications (IJERA), Vol. 1, Issue 4, pp.1268-1273.
Navneet Walia, Harsukhpreet Singh, Anurag Sharma” ANFIS: Adaptive Neuro-Fuzzy Inference System- A Survey”, International Journal of Computer Applications, Vol.123, No.13, August 2015.
Kompan Chomsamutr, Somkiat Jongprasithporn” Optimization Parameters of tool life Model Using the Taguchi Approach and Response Surface Methodology”, IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 1, No 3, 2012.
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