scholarly journals Analysis of surface roughness of rock dust reinforced AA6061 -Mg matrix composite in turning

2021 ◽  
Author(s):  
R. Balachandhar ◽  
R. Balasundaram ◽  
M. Ravichandran
Keyword(s):  
Surface Roughness ◽  
Matrix Composite ◽  
Rock Dust

scholarly journals Experimental Exploration of Hybrid Metal Matrix Composite using Abrasive Water Jet Machining

2019 ◽  
Vol 9 (2) ◽  
pp. 1872-1875
Author(s):  
Barath M ◽  
◽  
Rajesh S ◽  
Duraimurugan P ◽  
◽  
...  
Keyword(s):  
Surface Roughness ◽  
Metal Matrix Composite ◽  
Matrix Composite ◽  
Metal Matrix ◽  
Water Pressure ◽  
Traverse Speed ◽  
Abrasive Waterjet ◽  
Force Microscopy ◽  
Business Applications ◽  
Hybrid Metal Matrix Composite

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.

Surface Roughness and Chip Formation of AlSi/AIN Metal Matrix Composite by End Milling Machining using the Taguchi Method

2014 ◽  
Vol 68 (4) ◽  
Author(s):  
M. S. Said ◽  
J. A. Ghani ◽  
R. Othman ◽  
M. A. Selamat ◽  
N. N. Wan ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Taguchi Method ◽  
Matrix Composite ◽  
Surface Finish ◽  
Chip Formation ◽  
End Milling ◽  
Cutting Speed ◽  
Depth Of Cut ◽  
Taguchi Optimization ◽  
Cutting Speeds

The purpose of this research is to demonstrate surface roughness and chip formation by the machining of Aluminium silicon alloy (AlSic) matrix composite, reinforced with aluminium nitride (AlN), with three types of carbide inserts present. Experiments were conducted at various cutting speeds, feed rates, and depths of cut, according to the Taguchi method, using a standard orthogonal array L9 (34). The effects of cutting speeds, feed rates, depths of cut, and types of tool on surface roughness during the milling operation were evaluated using Taguchi optimization methodology, using the signal-to-noise (S/N) ratio. The surface finish produced is very important in determining whether the quality of the machined part is within specification and permissible tolerance limits. It is understood that chip formation is a fundamental element that influences tool performance. The analysis of chip formation was done using a Sometech SV-35 video microscope. The analysis of results, using the S/N ratio, concluded that a combination of low feed rate, low depth of cut, medium cutting speed, and an uncoated tool, gave a remarkable surface finish. The chips formed from the experiment varied from semi–continuous to discontinuous. 

scholarly journals Analysis, predictive modelling and multi-response optimization in electrical discharge machining of Al-22%SiC metal matrix composite for minimization of surface roughness and hole overcut

2020 ◽  
Vol 7 ◽  
pp. 20 ◽  
Author(s):  
Subhashree Naik ◽  
Sudhansu Ranjan Das ◽  
Debabrata Dhupal
Keyword(s):  
Surface Roughness ◽  
Metal Matrix Composite ◽  
Matrix Composite ◽  
Discharge Current ◽  
Metal Matrix ◽  
Electrical Discharge ◽  
Electrical Discharge Machining ◽  
Machining Parameters ◽  
Response Optimization ◽  
Pulse On Time

Due to the widespread engineering applications of metal matrix composites especially in automotive, aerospace, military, and electricity industries; the achievement of desired shape and contour of the machined end product with intricate geometry and dimensions that are very challenging task. This experimental investigation deals with electrical discharge machining of newly engineered metal matrix composite of aluminum reinforced with 22 wt.% of silicon carbide particles (Al-22%SiC MMC) using a brass electrode to analyze the machined part quality concerning surface roughness and overcut. Forty-six sets of experimental trials are conducted by considering five machining parameters (discharge current, gap voltage, pulse-on-time, pulse-off-time and flushing pressure) based on Box-Behnken's design of experiments (BBDOEs). This article demonstrates the methodology for predictive modeling and multi-response optimization of machining accuracy and surface quality to enhance the hole quality in Al-SiC based MMC, employing response surface methodology (RSM) and desirability function approach (DFA). Finally, a novel approach has been proposed for economic analysis which estimated the total machining cost per part of rupees 211.08 during EDM of Al-SiC MMC under optimum machining conditions. Thereafter, under the influence of discharge current several observations are performed on machined surface morphology and hole characteristics by scanning electron microscope to establish the process. The result shows that discharge current has the significant contribution (38.16% for Ra, 37.12% in case of OC) in degradation of surface finish as well as the dimensional deviation of hole diameter, especially overcut. The machining data generated for the Al-SiC MMC will be useful for the industry.

scholarly journals Effect of Machining Parameters on Cutting Force and Surface Roughness during Dry Turning of Al6061/Zrb2alumium Matrix Composite

2019 ◽  
Vol 9 (2) ◽  
pp. 1422-1424
Keyword(s):  
Surface Roughness ◽  
Cutting Force ◽  
Matrix Composite ◽  
Cutting Speed ◽  
Stir Casting ◽  
Machining Parameters ◽  
Al 6061 ◽  
The Matrix ◽  
In Situ Reactions

This paper shows that the outcome of analysis by the machining of Al-6061–ZrB2.which has done through in-situ reactions. Al 6061 alloy is reinforced with zirconium diboride by stir casting method.The reaction of K2ZrF6 and KBF4 will form ZrB2 at a temperature of 860°C and a holding time of 45 minutes using in-situ reaction. The molten metal matrix composite is poured into the pre-heated die with diameter of 50mm and length 500 mm. Influence of reinforcement ratio of 0, 5 and 10 wt% of ZrB2 on machinability are examined. By the turning operation cutting force was reduced, when the cutting speed has increased. The increment in ZrB2 particles within the matrix decreases the cutting force. Surface roughness is enhanced due to improvement in surface roughness and cutting speed deteriorated because of more addition of reinforcement

scholarly journals Drilling of Ceramic Reinforced Aluminum Matrix Composite under Dry Condition

2020 ◽  
Vol 9 (4) ◽  
pp. 3029-3033
Keyword(s):  
Surface Roughness ◽  
Matrix Composite ◽  
Cutting Speed ◽  
Aluminum Matrix ◽  
Cutting Parameters ◽  
Aluminium Matrix ◽  
Matrix Composites ◽  
Aluminium Matrix Composite ◽  
Aluminium Matrix Composites ◽  
Silicon Carbide Particulate

In this study an experimental investigation of effects of cutting parameters on surface roughness during drilling of silicon carbide particulate reinforced aluminium matrix composite material under dry condition was carried out. Cutting speed , feed rate and % SiC in aluminium matrix composites were chosen as cutting parameters. The experimental design adopted for this investigation was the central composite design of response surface methodology. Thirty one readings were taken on VMC machine for dry condition and the surface roughness measured using Mitutoyo surface tester. Surface roughness values for dry condition were lower with 30% SiC reinforced aluminium matrix composites when compared to 10 % and 20 % SiC reinforced aluminium matrix composites . As cutting speed increased Ra & Rz value also increased .% SiC was found most significant factor while drilling aluminium matrix composites.

scholarly journals Drilling of Ceramic Reinforced Aluminum Matrix Composite under Minimum Quantity Lubrication using Bio Cutting Fluid

2020 ◽  
Vol 9 (4) ◽  
pp. 3172-3178
Keyword(s):  
Surface Roughness ◽  
Matrix Composite ◽  
Cutting Speed ◽  
Minimum Quantity Lubrication ◽  
Cutting Parameters ◽  
Aluminium Matrix ◽  
Matrix Composites ◽  
Aluminium Matrix Composites ◽  
Minimum Quantity ◽  
Silicon Carbide Particulate

In this study an experimental investigation of effects of cutting parameters on surface roughness during drilling of silicon carbide particulate reinforced aluminium matrix composite material under minimum quantity lubrication (MQL) condition was carried out. Cutting speed , feed rate, flow rate and % SiC in aluminium matrix composites were chosen as cutting parameters. The experimental design adopted for this investigation was the central composite design of response surface methodology. Thirty one readings were taken on VMC machine for MQL condition and the surface roughness measured using Mitutoyo surface tester. Surface roughness values for MQL condition were lower with 30% SiC reinforced aluminium matrix composites when compared to 10 % and 20 % SiC reinforced aluminium matrix composites . As cutting speed increased Ra & Rz value also increased .% SiC was found most significant factor while drilling aluminium matrix composites.

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