An Experimental Determination of Optimum Processing Parameters for Al∕SiC Metal Matrix Composites Made Using Ultrasonic Consolidation

2007 ◽  
Vol 129 (4) ◽  
pp. 538-549 ◽  
Author(s):  
Y. Yang ◽  
G. D. Janaki Ram ◽  
B. E. Stucker
Keyword(s):  
Bond Strength ◽  
Metal Matrix Composites ◽  
Process Parameters ◽  
Metal Matrix ◽  
Oscillation Amplitude ◽  
Processing Parameters ◽  
Optimum Combination ◽  
Matrix Composites ◽  
Ultrasonic Consolidation ◽  
Push Out

Ultrasonic consolidation, an emerging additive manufacturing technology, is one of the most recent technologies considered for fabrication of metal matrix composites (MMCs). This study was performed to identify the optimum combination of processing parameters, including oscillation amplitude, welding speed, normal force, operating temperature, and fiber orientation, for manufacture of long-fiber-reinforced MMCs. A design of experiments approach (Taguchi L25 orthogonal array) was adopted to statistically determine the influences of individual process parameters. SiC fibers of 0.1mm diameter were successfully embedded into an Al 3003 metal matrix. Push-out testing was employed to evaluate the bond strength between the fiber and the matrix. Data from push-out tests and microstructural studies were analyzed and an optimum combination of parameters was achieved. The effects of process parameters on bond formation and fiber/matrix bond strength are discussed.

CFD Simulation and Experimental Validation of Solidification of Metal Matrix Composites (MMC) in the Presence of Cooled Fibers

2004 ◽  
Author(s):  
R. S. Amano ◽  
J. Xie ◽  
E. K. Lee ◽  
P. K. Rohatgi
Keyword(s):  
Metal Matrix Composites ◽  
Metal Matrix ◽  
Cfd Simulation ◽  
Applied Pressure ◽  
Casting Process ◽  
Processing Parameters ◽  
Matrix Composites ◽  
Primary Alpha ◽  
Parametric Studies ◽  
Solidification Of Metal

A new experimental configuration for the casting of metal matrix composites (MMCs) using Al-4.5 wt pct Cu have been used to obtain finer microstructures around the fiber reinforcement. The new configuration allows the fibers to be extended out the mold and cooled by a heat sink. By doing so, the solidification can be made more rapid, and more primary alpha-aluminum phase can be formed on the surface of the fibers. It is believed that this can lead to improvement in the properties of the composite. CFD simulation of the solidification of Al-4.5 wt pct Cu in the casting process has been carried out by using commercial CFD code. Parametric studies on the effects of different processing parameters on solidification time have been simulated using the CFD code. These parameters include, but are not limited to, the pouring temperature of the liquid melt, sink temperature, fiber length extended out of the mold, the mold initial temperature, fiber conductivity, applied pressure, and fiber bundle diameter. Selected simulation results are compared with the available experimental data obtained from the UWM Center for Composites.

Effect of process parameters on machining of Al -TiC metal matrix composites using RSM

2020 ◽  
Author(s):  
R. Pugazhenthi ◽  
D. Sreeram ◽  
Clement Tom Scaria ◽  
G. Anbuchezhiyan ◽  
P. Nanthakumar
Keyword(s):  
Metal Matrix Composites ◽  
Process Parameters ◽  
Metal Matrix ◽  
Matrix Composites

Reinforcement and Cutting Tools Interaction during MMC Machining - A Review

2018 ◽  
Vol 22 ◽  
pp. 47-54 ◽  
Author(s):  
Mukesh Chaudhari ◽  
M. Senthil Kumar
Keyword(s):  
Tool Wear ◽  
Metal Matrix Composites ◽  
Process Parameters ◽  
Surface Finish ◽  
Metal Matrix ◽  
Cutting Tools ◽  
Tool Geometry ◽  
Matrix Composites ◽  
Good Surface ◽  
Aerospace Medical

Aluminum based metal matrix composites (AMMC) have found its applications in the automobile, aerospace, medical, and metal industries due to their superior mechanical properties. Fabricated Aluminum based metal matrix composites require machining to improve the surface finish and dimensional tolerance. Machining should be accomplished by good surface finish by consuming lowest energy and less tool wear. This paper reviews the machining of Aluminum based metal matrix composites to investigate the effect of process parameters such as tool geometry, tool wear, surface roughness, chip formation and also process parameters.

scholarly journals Parametric Optimization of Electric Discharge Machining of Metal Matrix Composites Using Analytic Hierarchy Process

Micromachines ◽  
2021 ◽  
Vol 12 (11) ◽  
pp. 1289
Author(s):  
Sarabjeet Singh Sidhu ◽  
Timur Rizovich Ablyaz ◽  
Preetkanwal Singh Bains ◽  
Karim Ravilevich Muratov ◽  
Evgeny Sergeevich Shlykov ◽  
...  
Keyword(s):  
Residual Stresses ◽  
Analytic Hierarchy Process ◽  
Metal Matrix Composites ◽  
Process Parameters ◽  
Electric Discharge ◽  
Metal Matrix ◽  
Matrix Composites ◽  
Electric Discharge Machining ◽  
Analytic Hierarchy ◽  
Hierarchy Process

The present study reports on the method used to obtain the reliable outcomes for different responses in electric discharge machining (EDM) of metal matrix composites (MMCs). The analytic hierarchy process (AHP), a multiple criteria decision-making technique, was used to achieve the target outcomes. The process parameters were varied to evaluate their effect on the material erosion rate (MER), surface roughness (SR), and residual stresses (σ) following Taguchi’s experimental design. The process parameters, such as the electrode material (Cu, Gr, Cu-Gr), current, pulse duration, and dielectric medium, were selected for the analysis. The residual stresses induced due to the spark pulse temperature gradient between the electrode were of primary concern during machining. The optimum process parameters that affected the responses were selected using AHP to figure out the most suitable conditions for the machining of MMCs.

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