scholarly journals Analysis of Surface Roughness and Material Removal Rate for Metal Matrix Composite AlSi/10%ALN in EDM Die Sinking Operation

2015 ◽  
Vol 3 (5) ◽  
pp. 300-307
Author(s):  
S. Sulaiman ◽  
M.S. Sany ◽  
M.S. Said
Keyword(s):  
Surface Roughness ◽  
Metal Matrix Composite ◽  
Matrix Composite ◽  
Material Removal Rate ◽  
Metal Matrix ◽  
Material Removal ◽  
Removal Rate

Experimental Investigation during Micro-Milling of Hybrid Al6063 MMC Reinforced with SiC and ZrO2

2019 ◽  
Vol 33 ◽  
pp. 1-9
Author(s):  
P. Tripathy ◽  
K.P. Maity
Keyword(s):  
Surface Roughness ◽  
Experimental Investigation ◽  
Metal Matrix Composite ◽  
Matrix Composite ◽  
Process Parameters ◽  
Material Removal Rate ◽  
Metal Matrix ◽  
Material Removal ◽  
Removal Rate ◽  
Micro Milling

The experimental investigation of process characteristics while performing micro-milling on hybrid aluminium metal matrix composite is discussed in this article. High Speed Steel micro end mill cutters are used for machining of micro-slots on Al6063 metal matrix composite reinforced with zirconia and silicon carbide. The tools are also treated cryogenically at -196°C using liquid nitrogen with a holding time of 24 hours. For this investigation, machining parameters like feed rate, cutting speed and depth of cut are considered as the process parameters. The effect of the process parameters on the material removal rate and surface roughness for hybrid metal matrix composite are analyzed. In addition, tools wear for untreated and cryo-treated single tempered tools are also investigated. The output responses i.e., material removal rate and surface roughness of cryo-treated tools exhibit better results than untreated tool due to increase in strength, hardness and wear resistance.

scholarly journals Pengaruh Variasi Tekanan Kompaksi Powder Metallurgy Elektroda Metal Matrix Composites Tembaga - Grafit Terhadap Material Removal Rate Dan Electrode Relative Wear Pada Proses EDM Mesin Chimer EZ

2020 ◽  
Vol 3 (1) ◽  
pp. 46-54
Author(s):  
Dwi Handoko
Keyword(s):  
Powder Metallurgy ◽  
Metal Matrix Composite ◽  
Metal Matrix Composites ◽  
Matrix Composite ◽  
Material Removal Rate ◽  
Metal Matrix ◽  
Material Removal ◽  
Removal Rate ◽  
Matrix Composites ◽  
Relative Wear

Pada penelitian ini dilakukan pembuatan metal matrix composite dari bahan serbuk tembaga murni yang akan dipadu dengan bahan penguat berupa serbuk grafit yang dilanjutkan dengan pengujian pada mesin EDM. Metode pencampuran kedua material ini dilakukan dengan proses Powder metalurgi melalui tahapan pencampuran (mixing), penekanan (compaction) dan dilanjutkan dengan proses pemanasan dengan suhu 800 oC(sintering). Pada penelitian ini ingin diketahui pengaruh tekanan akibat proses powder metalurgi terhadap laju keausan material (MRR) dan laju keausan elektroda (ERR) pada material baja ST.37 mesin EDM Chimer EZ Dengan parameter pemakan tetap, arus 2 Amper dan kedalaman 5 mm. Pengujian yang dilakukan yaitu kekerasan dan struktur mikro. Dari hasil penelitian ini menunjukkan dengan semakin meningkatnya tekanan kompaksi laju keausan material MRR dan kekerasan semakin meningkat, sementara laju keausan terendahi terjadi pada tekanan kompaksi 25.000 KN

scholarly journals An Experimental Investigation on the Material Removal Rate and Surface Roughness of a Hybrid Aluminum Metal Matrix Composite (Al6061/SiC/Gr)

Metals ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 1449
Author(s):  
Mandeep Singh ◽  
Sthitapragyan Maharana ◽  
Anchal Yadav ◽  
Rasmeet Singh ◽  
Pragyansu Maharana ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Metal Matrix Composite ◽  
Material Removal Rate ◽  
Electric Discharge ◽  
Metal Matrix ◽  
Material Removal ◽  
Removal Rate ◽  
Electric Discharge Machining ◽  
Aluminum Metal ◽  
Aluminum Metal Matrix Composite

The objective of this paper was to determine the optimum process parameters of an electric discharge machine while machining a new hybrid aluminum metal matrix composite. In this study, a new hybrid aluminum metal matrix composite was prepared, with silicon carbide and graphite particles used as reinforcements, with the help of the stir casting method. The selected electric discharge machining parameters in this study were peak current (I), voltage (V), pulse-on time (Ton), and tool material, while the response parameters were material removal rate and surface roughness. To machine the fabricated samples, two different types of tool materials (copper and brass) were used as electric discharge machine electrodes, and each had a diameter (Ø) of 12.0 mm. The optimal settings of the electric discharge machining parameters were determined through experiments planned, conducted, and analyzed using the Taguchi (L18) technique. An analysis of variance and confirmatory tests were used to check the contribution of each machining parameter. It was found that the material removal rate increased with the increase in pulse-on time and pulse current, whereas the material removal rate decreased with the increase in voltage. On the other hand, reduced surface roughness could only be achieved when current, voltage, and pulse duration were low. It was also found that the selected electric discharge machining electrodes had a significant effect on both the material removal rate and the surface roughness.

scholarly journals Design and Optimization of EDM using Metal Matrix Composite by Genetic algorithm and Jaya Algorithm

2020 ◽  
Vol 9 (4) ◽  
pp. 3216-3221
Keyword(s):  
Genetic Algorithm ◽  
Metal Matrix Composite ◽  
Matrix Composite ◽  
Metal Matrix ◽  
Material Removal ◽  
Removal Rate ◽  
Surface Model ◽  
Jaya Algorithm ◽  
Machining Processes ◽  
Design And Optimization

Aluminum Boron carbide (Al-B4C) is a form of metal matrix composite (MMC) belongs to advanced category of material which is gaining popularity now-a-days because of its excellent mechanical and physical properties. Unconventional machining processes (UMPs) are now day’s best options to machine such kinds of modern materials. Electro discharge machining (EDM) process now days the best UMP whichever utilizes thermic energy power of spark for material removal. In present research the EDM has been carried out in Al-B4C MMC by varying different EDM parameters to evaluate material removal rate (MRR) and tool wear rate (TWR). The response surface model (RSM) has been developed for both the MRR and TWR. The developed RSM has been utilized during optimization. Optimizations of responses the MRR and or TWR have been done by using genetic algorithm and jaya algorithm. Finally both the algorithms have been compared with respect to current manufacturing paradigm.

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