scholarly journals Analysis & Optimization of Parameters During EDM of Aluminium Metal Matrix Composite

Author(s):  
Mumtaz Rizwee ◽  
◽  
Dr. P. Sudhakar Rao

In now days Aluminium Metal Matrix Composite (AMMC) has become one of the most favorite material for automotive, aerospace, shipyard etc. industry because of their outstanding properties such as high wear and corrosive resistance, remarkable hardness and toughness, low density, light weight etc. But because of the complexity of the cutting geometry and mechanical properties of work materials the use of convectional machining process becomes limited. Such difficulties are easily sort-out by using electric discharge non convectional machining process (EDM) because in this case material removal takes place by thermal erosion process. The present research work highlight the effect of process parameter on output response during the EDM of Aluminium7075- Boron carbide-Graphite (Al/B4C/Gr) metal matrix composite (MMC). Taguchi technique is used for design of experiments. Fitness and adequacy of the experimentation has tested through the analysis of variance (ANOVA).

Author(s):  
Shrihar Pandey ◽  
Pankaj K Shrivastava

To shape advanced engineering materials, many unconventional machining processes have been developed. Electrical discharge machining is such an unconventional machining process which is very popular nowadays but it is limited by poor material removal efficiency. Electrical arc machining is another unconventional machining process which is quite similar to electrical discharge machining and is now gaining attention from research fraternity due to its high material removal efficiency. In the present research, an innovative unconventional machining process known as vibration-assisted electrical arc machining has been developed. The performance of vibration-assisted electrical arc machining has been evaluated during machining of Al–B4C metal matrix composite by considering peak current, flushing velocity of dielectric and tool vibrations as input control factors. The quality characteristics considered were material removal rate, tool wear rate, relative electrode wear rate and surface roughness. It has been observed that vibration-assisted electrical arc machining results in approximately 3000% more material removal rate as compared to conventional electrical discharge machining during machining of Al–B4C metal matrix composite. The effects of various input control factors on output parameters have also been discussed. Further modelling and optimization of the process parameters has also been done by artificial intelligence approach.


Author(s):  
Umanath K ◽  
Nithyanandhan T ◽  
Adarsh Ajayan ◽  
Devika D ◽  
Gokul Prasath M ◽  
...  

Abstract Aluminium Metal Matrix Composite (AMMC) has broad uses in the medical, aerospace, and automobile industries, which have long sought lightweight materials with superior designs and improved properties to improve performance. This analysis has aimed to prepare an AMMC to investigate its machining and mechanical properties. The AMMC is produced using a stir casting process by reinforcing boron carbide and titanium with aluminium 6082. The material's mechanical properties are studied by using wear test, hardness test, and corrosion test. The wear rate increases when the load increases by varying the load and time with speed as a constant. It is found that the hardness of a material is increased due to titanium and boron carbide as the reinforcement particle in the fabricated AMMC. Using the pitting corrosion technique, the corrosion occurs on the AMMC under the estimated time at room temperature. In order to illustrate the machining characteristics of the aluminium metal matrix composite, an abrasive water jet machining process has been used. The experiments use L9 orthogonal Array using Taguchi's method and ANOVA analysis. The input parameters considered are Traverse rate, Stand-off distance, and Nozzle diameter. To find the optimum value of circularity, cylindricity, and surface roughness by varied input parameters. The respective graphs are also plotted. Scanning electron microscopic analysis was performed on the wear-tested specimen and machining surface of the material to determine the distribution of reinforced material and investigate the material's fracture mechanism. It is found that wear tracks, voids, delamination, micro pits, embedded garnet abrasive particles are located on the machined surface of the AMMC.


Among all the advanced Metal matrix composite (MMC) materials is among the important and beneficial materials for industry because of their characteristics such as high specific strength, high corrosive resistance, good wear resistance, light weight, and high thermal coefficient. It is very critical to do operation due to high hardness and reinforcement of the MMC by using conventional machining which is responsible for retard the development of MMC. Machining of MMC by using conventional machining process is a serious cause of higher Tool Wear Rate (TWR) because of abrasive properties of reinforcement particles. Machining of such materials can be done by using different type of non-convectional machining processes like that Laser beam machining (LBM) and water jet machining (WJM). But both processes are limited to linear machining only. This Articles represent a literature survey on Electric discharge machining (EDM) of reinforced MMC and different methodology used such as Analysis of variance (ANOVA), Response Surface Methodology (RSM), Taguchi methodology etc. which helps in optimizing the results. This review is analyzing the suitable process parameters and machining performance for machining of MMC and also reveals the research work area in which maximum research work can be done in future.


2017 ◽  
Vol 5 (2) ◽  
pp. 35 ◽  
Author(s):  
CHANDLA NAGENDER KUMAR ◽  
YASHPAL ◽  
JAWALKAR C. S. ◽  
SURI N. M ◽  
◽  
...  

2019 ◽  
Vol 1 (1) ◽  
pp. 124-132 ◽  
Author(s):  
Valentin KAMBUROV ◽  
Rayna DIMITROVA ◽  
Antonio NIKOLOV ◽  
Mara KANDEVA ◽  
Anton MIHAYLOV

2021 ◽  
Vol 8 ◽  
Author(s):  
Senthil Kumaran Selvaraj ◽  
Kathiravan Srinivasan ◽  
Utkarsh Chadha ◽  
Rajat Mishra ◽  
Kurane Arpit ◽  
...  

Graphical AbstractA Brief Review of the Ultrasonic welding process flow and sequence for joining aluminium metal matrix composite.


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