25 research outputs found
Wire electrical discharge machining characteristics of AA6061/cenosphere as-cast aluminum matrix composites
No full textCFD Study on Emergency Core Cooling of Hot Vertical Nuclear Fuel Rod Bundle by Jet Impingement
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Machinability of cenosphere particulate–reinforced AA6061 aluminium alloy prepared by compocasting
No full text Cenosphere fly ash particles as waste by-product of gas thermal power plant are successfully incorporated into AA6061 aluminium alloy by improved wettability casting process called compocasting technique to enlarge the application barrier of existing advanced metal matrix composites due to their high fabrication cost. Thereafter, microstructure, interface and composition of the prepared composites were analysed from the X-ray diffraction analysis patterns and scanning electron microscopy equipped with energy-dispersive X-ray techniques. Furthermore, machinability characteristics were identified by wire electrical discharge machining to explore the co-relations among the machining variables and the performance measures such as cutting rate, kerf width and surface roughness for the prepared composites by varying one parameter at a time and keeping the other parameters as constant. The morphological study reveals that there is a uniform distribution of fly ash particles in aluminium matrix phase without formation of any intermetallic compound caused by interfacial reaction. The machinability study indicates that pulse-on-time and pulse-off-time are the most significant process variables that affect the machining performance of the prepared composites. However, wire feed is found to impose the least significant effect among the three process parameters. Also, the neat AA6061 aluminium alloy (0% AA6061/cenosphere composites) exhibited superior machining performance compared to both the reinforced composites (4% and 8%) at similar machining conditions. </jats:p
Analysis of Effect of Machining Parameters During Electrical Discharge Machining Using Taguchi-Based Multi-Objective PSO
No full text The present contribution describes an application of a hybrid approach using response surface methodology (RSM) and particle swarm optimization (PSO) for optimizing the machining parameters in electric discharge machining (EDM) of compo casted Al6061/ cenosphere AMCs. Compo casting processing route was employed to prepare the AMCs. Each experimentation in EDM was performed under different machining conditions of Peak Current (Amp), Pulse on time ([Formula: see text]s), and Flushing Pressure (bar). Performance characteristics such as material removal rates (MRRs), surface roughness (SR), and electrode wear rates (EWRs) were evaluated. A Taguchi L27 orthogonal array was considered to plan the experimentation and RSM was applied to model the inter relationship between the input process parameters and responses. A mathematic model has been developed to provide a fitness function to PSO by unifying the multiple responses. Finally, PSO was used to predict the optimal settings of the processing condition for the multi-performance optimization of the EDM operation. The experimental observations confirm the feasibility of the strategy and are in good accordance with the predicted value over a wide range of processing conditions employed in the process. </jats:p
