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A New Hybrid Approach to Optimize the End Milling Process for Al/SiC Composites using RSM and GA

Affiliations

  • Department of Mechanical Engineering, M.I.T.S., Madanapalle - 517325, Andhra Pradesh, India
  • School of Mechanical and Building Sciences, VIT University, Vellore - 632014, Tamil Nadu, India

Abstract


The centre of research is to optimize the cutting Forces (FR), surface Roughness (Ra) and Material Removal Rate (MRR) of end milling for Aluminium compositeusing Response Surface Methodology (RSM) and Genetic Algorithm (GA). The RSM L31 empirical model is conducted with Al/SiC composites of various compositions. The cutting forces and the surface roughness are measured using 3-axis milling tool dynamometer and MarTalk Profilometer respectively. The second order mathematical models in terms of machining parameters are developed for predicting responses with adequacy above 85%. The optimal configuration of end milling are 5 wt. % of reinforcement, 0.3 mm depth of cut, feed rate of 49.3 mm/min and cutting speed of 474.3 rpm to acquire minimum FR, Ra with maximum MRR is done by Genetic Algorithm (GA). From the estimated model, the responses are with the experimental deviation of 11% MRR, 13% Ra and 17% FR for the desirability of 98.7%. The optimization of three machining parameters with a advance hybrid approach brought a new scope for the researchers and manufactures to improve the standard of automated machining.

Keywords

ANOVA, Aluminium, Composites, Milling, Optimization.

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References


  • Uysal A, Altan M, Altan E. Effects of cutting parameters on tool wear in drilling of polymer composite by Taguchi method. International Journal of Advance Manufacturing Technology. 2012; 58(9–12):915–21.
  • Sonbaty U, Khashba A, Machaly T. Factors affecting the machinability of GFR/epoxy composites. Composites Structure. 2004; 63(3-4):329–38.
  • Nishida Y. Introduction to Metal Matrix Composites. New York: Springer; 2008.
  • Arik H. Effect of mechanical alloying process on mechanical properties of [alpha]-Si3N4 reinforced aluminumbased composite materials. Materials and Design. 2013; 29(9):1856–61.
  • Canakci A, Varol T, Ozsahin S. Prediction of effect of volume fraction compact pressure and milling time on properties of Al–Al2O3 MMCs using neural networks. Metals and Materials International. 2013; 19(3):519–26.
  • Varol T, Canakci A. Effect of weight percentage and particle size of B4C reinforcement on physical and mechanical properties of powder metallurgy Al2024–B4C Composites. Metals and Materials International. 2013; 19(6):1227–34.
  • Baradeswaran A, Elayaperumal A, Franklin Issac R. A statistical analysis of optimization of wear behaviour of AlAl2O3 composites using taguchi technique. Procedia Engineering. 2013; 64:973-82.
  • Kumar A, Mahapatra M , Jha PK. Modeling the abrasive wear characteristics of in-situ synthesized Al–4.5% Cu/TiC. Wear. 2013; 306(1-2):170–8.
  • Mahajan G, Karve N, Patil U, Kuppan P, Venkatesan K. Analysis of microstructure, hardness and wear of Al-SiCTiB 2 hybrid metal matrix composite. Indian Journal of Science and Technology. 2015; S2(8):101-5.
  • Zafarani HR, Hassani A, Bagherpour E. Achieving a desirable combination of strength and workability in Al/SiC composites by AHP selection method. Journal of Alloys and Compounds. 2014; 589:295–300.
  • Teti R. Machining of composite materials. CIRP Ann Manuf Technol. 2002; 51(2):611–34.
  • Pang JS, Ansari MNM, Omar S, Zaroog MH, Sapuan SM. Taguchi design optimization of machining parameters on the CNC end milling process of halloysite nanotube with aluminium reinforced epoxy matrix (HNT/Al/Ep) hybrid composite. HBRC Journal. 2014; 10(2):138–44.
  • Masaki T, Kuriyagawa T, Yan J, Yoshihara N. Study on shaping spherical poly crystalline diamond tool by micro electro discharge machining and micro grinding with the tool. International Journal of Surface Science and Engineering. 2007; 1(4):344-59.
  • Subramanian M, Sakthivel M, Sooryaprakash K , Sudhakaran R. Optimization of cutting parameters for cutting force in shoulder milling of Al7075-T6 using response surface methodology and genetic algorithm. Procedia Engineering. 2013; 64:690–700.
  • Zhang X, Ding H. Note on a novel method for machining parameters optimization in a chatter-free milling process. International Journal of Machine Tools and Manufacture. 2013; l(72):11–5.
  • Asilturk I, Akkus H. Determining the effect of cutting parameters on surface roughness in hard turning using the Taguchi method. Measurement. 2011; 44(9):1697–704.
  • Mahapatra SS, Patnaik A. Study on mechanical and erosion wear behavior of hybrid composites using Taguchi experimental design. Materials and Design. 2009; 30(8): 2791– 801.
  • Oktem H, Erzurumlu T, Kurtaran H. Application of response surface methodology in the optimization of cutting conditions for surface roughness. Journal of Material Processing Technology. 2005; 170(1-2):11-6.
  • Senapati AK, Mishra PC, Routray BC, Ganguly RI. Mechanical behavior of aluminium matrix composite reinforced with untreated and treated waste fly ash. Indian Journal of Science and Technology. 2015; S9(8):111-8.
  • Baradeswaran A, Vettivel SC, Elaya Perumal A, Selvakumar N, Franklin Issac R. Experimental investigation on mechanical behaviour, modelling and optimization of wear parameters of B4C and graphite reinforced aluminium hybrid composites. Materials and Design. 2014; 63:620-32.
  • Esmaeili R, Dashtbayazi MR. Modeling and optimization for microstructural properties of Al/SiC nanocomposite by artificial neural network and genetic algorithm. Expert Systems with Applications. 2014; 41(13):5817–31.
  • Saravanan I, Perumal AE, Issac RF, Vettivel SC, Devaraju A. Optimization of wear parameters and their relative effects on TiN coated surface against Ti6Al4V alloy. Materials and Design. 2016; 92:23-35.
  • Rouhi F, Effatnejad R. Unit commitment in power system t by combination of Dynamic Programming (DP), Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). Indian Journal of Science and Technology. 2015 Jul; 8(2):134-41.
  • Yongho J, Frank E, Fefferkorn P. Tool wear effect on micro end milling of biocompatible metals. International Journal of Surface Science and Engineering. 2014; 8(2-3):213-24.
  • Ramanujam R, Venkatesan K, Kothawade N, Shivangkumar J, Dusane H. Fabrication of Al-TiB 2 metal matrix composites for evaluation of surface characterization and machinability. Indian Journal of Science and Technology. 2015; S2(8):85-9.
  • Sharif S, Akhavan FA, Idris MH. Tool life prediction model of uncoated carbide tool in high speed drilling of AlSi alloy using response surface methodology. International Journal of Surface Science and Engineering. 2012; 6(1-2):112-21.

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