A Study on Process Parameters in Milling of Al-MMC

B.Swapna Priya, P.Satish Reddy, P. Bhaskar, M Manoj

Abstract


Metal Matrix Composites have become a leading material among composite materials. In particular, particle reinforced Aluminum Metal Matrix Composite (AMMC) have received considerable attention due to their excellent engineering properties. Aluminum metal matrix refers to the class of light weight high performance aluminum centric material systems. The reinforcement in AMC’s could be in the form of   continuous/  discontinuous  fibers,  whiskers  or Particulates in volume fractions ranging in percentages. Properties of AMC’s can be tailored to the demands of different industrial applications by suitable combinations of matrix reinforcement and processing routes.

In this study an attempt has been made to manufacture the AMC through a liquid metallurgical route. The matrix used in the study is Aluminum alloy and reinforcement particles selected are Silicon Carbide (SiC) particles ranging its size from 50-70 microns. The study also focuses to establish a mathematical relationship between process parameters like Cutting speed, Feed Rate, Depth of cut and surface roughness (Ra) in End Milling operation. A CNC machining center with 8 mm diameter HSS end milling cutter with 30° helix angle is used for machining by employing a L16 (44) Taguchi’s orthogonal array for the experiment plan. A linear and multiple regression analysis using analysis of variance is  conducted to determine the performance of experimental measurements and to show the effect of four cutting parameters on the surface roughness.RSM methodology  was selected to optimize the surface roughness resulting minimum values of surface roughness and their  respective optimal condition.

 


References


N. Suresh Kumar Reddy and P.Venkateswara Rao “Selection of Optimum Tool Geometry and Cutting Conditions using a Surface Roughness Predction Model for End Milling”.International Journal Advanced Manufacturing Technology, vol.26, pp :1202-1210, 2005.

Sanjit Moshat,Saurav Datta,Asish Bandyo Padhyay and Pradeep Kumar Pal “Optimization of CNC End Milling Process Parameters using PCA based Taguchi Method ” International Journal of Engineering , Science and Technology , vol. 2,no.1, pp 92-102, 2010.

Yanming Liu and Chaojun Wang , “ Neural Network based Adaptive Control and Optimization in the Milling Process “ , International Journal Advanced Manufacturing Technology, vol. 15, pp :791-795, 1999.

H.Oktem “An Integrated Study of Surface Roughness for Modeling and Optimization of Cutting Parameters during End Milling Operation” , International Journal advanced Manufacturing Technology vol. 43, pp :852-861, 2009.

Kadirgama, M.M Noor, M.M.Rahman, M.R.M Rejab, C.H.C.Haron and K.A. Abou-El-Hossein, “ Surface Roughness Prediction Model of 7075 Aluminum Alloy Machining Using Statistical Method “ , European Journal of Scientific Research ISSN 1450-216X Vol.25 No.2 , pp.250-256, 2009.

P.S. Savasakthivel, V.Velmurugan and R. Sudhakaran , “ Prediction of Vibration Amplitude from Machining Parameters by Response Surface Methodology in End Milling “, International Journal Advanced Manufacturing Technology , DOI 10.1007/s00170-010-2872-3.

M K Surappa “Aluminium matrix composites: Challenges and Opportunities “ , Sadhana Vol. 28, Parts 1 & 2, February/April 2003, pp. 319–334.

S. Basavarajappa and G. Chandramohan “ Wear Studies on Metal Matrix Composites: a Taguchi Approach “ , Journal Master Science Technology ., Vol.21. No.6,2005.


Full Text: PDF [Full Text]

Refbacks

  • There are currently no refbacks.


Copyright © 2013, All rights reserved.| ijseat.com

Creative Commons License
International Journal of Science Engineering and Advance Technology is licensed under a Creative Commons Attribution 3.0 Unported License.Based on a work at IJSEat , Permissions beyond the scope of this license may be available at http://creativecommons.org/licenses/by/3.0/deed.en_GB.