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

Influence of Cutting Parameters on Torque in Drilling of Al-15%SiC-4% Graphite Metal Matrix Composites

2012 ◽  
Vol 590 ◽  
pp. 128-133
Author(s):  
A. Muniaraj ◽  
Sushil Lal Das ◽  
K. Palanikumar
Keyword(s):  
Metal Matrix Composite ◽  
Metal Matrix Composites ◽  
Matrix Composite ◽  
Metal Matrix ◽  
Material Removal ◽  
Cutting Parameters ◽  
Matrix Composites ◽  
Abrasive Particles ◽  
Solid Carbide ◽  
Hybrid Metal Matrix Composite

Hybrid Metal Matrix composite consists of at least three constituents. Machining of metal matrix composite (MMC) is difficult due to the presence of hard abrasive particles. To make the composite prone to easy machining graphite is added. Machining is a material removal process and therefore is important for the final fabrication stage prior to application. This paper discusses the influence of cutting parameter on Torque in drilling of hybrid metal matrix composites. The experiments are conducted to study the effect of spindle speed and feed rate on torque using TiN coated solid carbide twist drill of 4mm, 8mm and 12mm under dry machining condition. The influence of parameters are discussed and studied in detail.

Experimental Analysis and Forecasting of Material Removal Rate and Cutting Force in End Milling on A356 Alloy-SiC Metal Matrix Composites

2015 ◽  
Vol 787 ◽  
pp. 637-642
Author(s):  
K. Jayakumar ◽  
Jose Mathew ◽  
M.A. Joseph
Keyword(s):  
Cutting Force ◽  
Metal Matrix Composites ◽  
Material Removal Rate ◽  
Cutting Forces ◽  
Metal Matrix ◽  
Material Removal ◽  
End Milling ◽  
Removal Rate ◽  
A356 Alloy ◽  
Matrix Composites

By considering several applications of aluminum based particle reinforced composites especially in automobile, aerospace and electronic industries, in this work, prediction of machinability responses of A356 alloy-SiC particles (5, 10, 15 and 20 vol%) reinforced metal matrix composites is described. Composites were synthesized by vacuum hot pressing (VHP) assisted powder metallurgy (P/M) process. Effect of cutting speed (Vc), feed (f), depth of cut (d) and quantity of SiC (vol %) on machinability of composites in terms of material removal rate (MRR) and resultant cutting forces (FR) during end milling were investigated. Milling experiments were carried in dry condition based on central composite design and KISTLER dynamometer was used to measure cutting forces. Resultant cutting force values were increased from 21 to 105 N with an increase in ‘f’ and ‘d’, but decreased with increase in ‘Vc’. Increase in machining parameters increased the MRR from 2.3 to 8.6 × 103 mm3/min and increase in SiC reduced the MRR. Statistical modeling with cubic response equations were used to predict the results and predicted results were closely matching with experimental values.

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