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4 2021

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Investigations on the effects of nitrogen gas in CNC machining of SS304 using Taguchi and Firefly Algorithm

100%

Prasanth P. , Sekar T. , Sivapragash M. , Prasanth P. , Sekar T. , Sivapragash M.

nr 1

Investigations on the effects of nitrogen gas in CNC machining of SS304 using Taguchi and Firefly Algorithm

94%

Prasanth P. , Sekar T. , Sivapragash M.

Bulletin of the Polish Academy of Sciences. Technical Sciences

2021

tom Vol. 69, nr 1

art. no. e136211

This work attempts to use nitrogen gas as a shielding gas at the cutting zone, as well as for cooling purposes while machining stainless steel 304 (SS304) grade by Computer Numerical Control (CNC) lathe. The major influencing parameters of speed, feed and depth of cut were selected for experimentation with three levels each. Totally 27 experiments were conducted for dry cutting and N2 gaseous conditions. The major influencing parameters are optimized using Taguchi and Firefly Algorithm (FA). The improvement in obtaining better surface roughness and Material Removal Rate (MRR) is significant and the confirmation results revealed that the deviation of the experimental results from the empirical model is found to be within 5%. A significant improvement of reduction of the specific cutting energy by 2.57% on average was achieved due to the reduction of friction at the cutting zone by nitrogen gas in CNC turning of SS 304 alloy.

Optimization of tribology parameters of AZ91D magnesium alloy in dry sliding condition using response surface methodology and genetic algorithm

71%

Beniyel M. , Sivapragash M. , Vettivel S. C. , Senthil Kumar P. , Ajith Kumar K. K. , Niranjan K.

Bulletin of the Polish Academy of Sciences. Technical Sciences

2021

tom Vol. 69, nr 1

art. no. e135835

In the present research, the wear behaviour of magnesium alloy (MA) AZ91D is studied and optimized. MA AZ91D is casted using a die-casting method. The tribology experiments are tested using pin-on-disc tribometer. The input parameters are sliding velocity (1‒3 m/s), load (1‒5 kg), and distance (0.5‒1.5 km). The worn surfaces are characterized by a scanning electron microscope (SEM) with energy dispersive spectroscopy (EDS). The response surface method (RSM) is used for modelling and optimising wear parameters. This quadratic equation and RSM-optimized parameters are used in genetic algorithm (GA). The GA is used to search for the optimum values which give the minimum wear rate and lower coefficient of friction. The developed equations are compared with the experimental values to determine the accuracy of the prediction.

Optimization of tribology parameters of AZ91D magnesium alloy in dry sliding condition using response surface methodology and genetic algorithm

67%

Beniyel M. , Sivapragash M. , Vettivel S. C. , Senthil Kumar P. , Ajith Kumar K. K. , Niranjan K. , Beniyel M. , Sivapragash M. , Vettivel S. C. , Senthil Kumar P. , Ajith Kumar K. K. , Niranjan K.

nr 1