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

Author(s):  
R. Pugazhenthi ◽  
D. Sreeram ◽  
Clement Tom Scaria ◽  
G. Anbuchezhiyan ◽  
P. Nanthakumar
2007 ◽  
Vol 129 (4) ◽  
pp. 538-549 ◽  
Author(s):  
Y. Yang ◽  
G. D. Janaki Ram ◽  
B. E. Stucker

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.


2018 ◽  
Vol 22 ◽  
pp. 47-54 ◽  
Author(s):  
Mukesh Chaudhari ◽  
M. Senthil Kumar

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.


Micromachines ◽  
2021 ◽  
Vol 12 (11) ◽  
pp. 1289
Author(s):  
Sarabjeet Singh Sidhu ◽  
Timur Rizovich Ablyaz ◽  
Preetkanwal Singh Bains ◽  
Karim Ravilevich Muratov ◽  
Evgeny Sergeevich Shlykov ◽  
...  

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.


2020 ◽  
Vol 17 (7) ◽  
pp. 3277-3292
Author(s):  
S. G. Rahul ◽  
R. Chitra ◽  
S. Kripa

Aluminium Metal Matrix Composites reinforced with particulate silicon carbide and Boron Carbide reinforcements have demanding applications in aerospace and automotive domains. With a lack of sufficient literature on this composite combination and emerging demands, it is highly essential to understand their weldability and material characteristics. Friction Stir Welding is a feasible choice for joining of Aluminium Metal Matrix Composites over the conventional fusion welding owing to narrow Heat Affected Zone and minimized Intermetallic Compound formation at the weld interface. In this work, AA6061 matrix composite plates are fabricated with a varying weight percentage of particulate SiC and B4C reinforcements using powder metallurgy process. The study mainly focusses on the tensile strength, hardness and microstructural properties of composite plates joined using Friction Stir welding subjected to a constant load of 8KN at three-level process parameters experimental design of varying spindle speed, weld speed and plunge depth. The outcomes reveal sufficient information on the microstructural analysis of the weldments and the subsequent effects on the material strength. Followed by, statistical process parameter optimization is performed to improve the tensile properties of the weldments and the results are experimentally validated. The study confirms the feasibility and applicability of FSW in joining Al-MMCs.


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