Influence of machining parameters of electrochemical micromachining process over magnesium based hybrid metal matrix composite

2018 ◽  
Vol 6 (2) ◽  
pp. 026510 ◽  
Author(s):  
A Jayaganthan ◽  
K Soorya Prakash
2013 ◽  
Vol 315 ◽  
pp. 113-116 ◽  
Author(s):  
T.S. Mahesh Babu ◽  
P.S. Ramkumar ◽  
Nambi Muthukrishnan

Hybrid metal matrix composite constitutes a tough metal matrix with reinforcement of at least two ceramic particulates and exhibit superior mechanical and thermal properties. The difficulties in machining metal matrix composites are obtaining good surface finish, consumption of more electrical power, involving excessive cutting forces and greater tool wear as it contain very hard ceramic particulates. This factor restrict the wide spread application of these kind of materials. Hence the study of machining characteristics and the optimization of the cutting parameters are prime importance. In this paper aluminium alloy is taken as metal matrix and the silicon carbide (SiC 10% by wt.) and boron carbide (B4C 5% by wt.) taken as ceramic reinforcement. This material is fabricated in the form of cylindrical rod using stir casting method. Turning operations are carried out in medium duty lathe using poly crystalline diamond (PCD) cutting tool insert. Taguchis design of L09orthogonal array is followed selecting three machining factors namely cutting speed, feed and depth of cut at three levels. Optimal cutting conditions are arrived by Signal-Noise ratio method with respect to surface roughness. The results are validated by (ANOVA) analysis of variance and the percentage of contribution of cutting speed, feed rate and depth of cut for better surface finish are determined and it is found that the vital parameter is feed followed by cutting speed and then by depth of cut.


2016 ◽  
Vol 860 ◽  
pp. 61-64 ◽  
Author(s):  
Dinesh Kumar Kasdekar ◽  
Vishal Parashar ◽  
Pradeep Soni

The newly fabricated hybrid metal matrix composite of Al 6061 reinforced with wt. % of Cu/Sic/Graphite is prepared by a stir casting route. Electrical discharge machining (EDM) is employed to machine this MMC with copper electrode. The purpose of this study is to investigate the second order mathematical model in terms of machining constraints were developed for Material removal rate prediction. The adequacy of the model on MRR has been established with a statistical analysis of variance (ANOVA) to investigate the influence of process parameters and their interactions. Further this model is processed with help of Genetic Algorithm (GA) to find out the optimum machining parameters. The best result for maximum MRR using GA are carried out to show a good agreement with the predicted results.


2015 ◽  
Vol 8 (S2) ◽  
pp. 101 ◽  
Author(s):  
Gaurav Mahajan ◽  
Nikhil Karve ◽  
Uday Patil ◽  
P. Kuppan ◽  
K. Venkatesan

Author(s):  
Barath M ◽  
◽  
Rajesh S ◽  
Duraimurugan P ◽  
◽  
...  

The abrasive mixed waterjet was with success utilized to chop several materials together with steel, metal and glass for a spread of business applications. This work focuses on surface roughness of hybrid metal matrix composite (AA6061, Al2O3, B4C). Machining was applied by AWJM (Abrasive Waterjet Cutting) at completely different parameters Water pressure, Traverse speed, Abrasive flow and stand-off distance. The reinforced composite was analyzed exploitation FE SEM (Field Emission Scanning lepton Microscope) and distribution of reinforced was studied by AFM (Atomic Force Microscopy). For optimum results surface roughness was calculated.


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