#IJSRD Optimization of Machining Parameters in CNC Turning Using Firefly Algorithm

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Optimization of Machining Parameters in CNC Turning Using Firefly Algorithm

Abstract— now a day’s machining is done through various automated machines. One of the widely used machines is CNC. Even though the automated machines are used, the quality of the work is determined by parameters used. The cutting parameters of the CNC machine determine the productivity, surface finish, machining time and other qualities of the product. This study involves the optimization of those cutting parameters. In order to get optimized CNC parameters for a specific tool-work combination, Firefly Algorithm (FA) is used to compute the best parameters based on the experiments conducted on a CNC Turning center. The three cutting parameters are cutting speed (V), feed (f), and depth of cut (d). The practical constraints have been considered during both practical and experimental approaches.  The result reveals that FA is very well suited in solving parameters selection problems. 

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IJSRD is an India’s leading open access e-journal for all kinds of science, engineering & technologies manuscript. We publish original and high quality papers.

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#IJSRD Thermal performance of two phase closed thermosyphon using nanofluid

Thermal performance of two phase closed thermosyphon using nanofluid

A two-phase closed thermosyphon (TPCT) is an enclosed, passive device for heat transmission. It consists of an evacuated close tube filled with a certain amount of working fluid. Fluids with suspended nanoparticles (particles smaller than 100 nm) are called nanofluids that they have a great potential in heat transfer enhancement. In this paper, the thermal performance of a two-phase closed thermosyphon filled with Al2O3nanoparticlesusing water as the base fluid. The experiment was performed in order to measure the temperature distribution and compare the heat transfer rate of the thermosyphon heat pipe with nanofluid and with distilledwater. Nanofluids were prepared in 1% volumetric concentrations. Different filling ratios and heat loads (100 W, 200 W, 300 W, 400 W, 500 W and 600 W) were applied to the evaporator section. Results show that the addition of 1% (by volume) Al2O3of nanoparticles in water presented improved thermal performance compared with the operation with distilled water.

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