siva raju | Acharya Nagarjuna University (original) (raw)
Papers by siva raju
—This paper is represents the experimental investigation on surface roughness, microstructure, ha... more —This paper is represents the experimental investigation on surface roughness, microstructure, hardness of Al, and Al-Al2O3 (15% volume) composite. The effect of machining parameters such as depth of cut, feed rate, cutting speed was studied during turning operation. The response in this study such as forces (radial force, thrust force, feed force), surface roughness, tool life. The experiments are designed based on Taguchi [L9] orthogonal approach. Analysis of variance (ANOVA) has revealed the effect of influencing parameter on each response. Finally ANOVA revealed that presence of alumina in aluminium increase the surface roughness value, tool life as compare to the pure Al material.
In this modern era, the demand of aluminium and its composites has grown day by day due to its va... more In this modern era, the demand of aluminium and its composites has grown day by day due to its vast applications due to low coefficient of thermal expansion, moderate in strength, excellent ductility and light weight. So, this paper aims to study of physical, mechanical, micro structural and machinability properties of the Aluminum (Al-1100) metal with a reinforcement of Coconut Shell Ash (CSA) (15% of volume) fabricated, by liquid metallurgical route. The experiments are designed by Taguchi approach [L9]. The effect of the machining parameters like speed, feed and depth of cut where examine in detail on MRR, Surface roughness for aluminium and surface roughness for composite, during the process of turning operation. Due to the presence of CSA particles the surface roughness of composites decreases compare to its parent metal Al. ANOVA methods have been used for obtaining the best machining parameters by increasing the MRR and decreasing the Surface roughness.
Resistance spot welding is a widely used technique for welding metal sheets. It is mostly carried... more Resistance spot welding is a widely used technique for welding metal sheets. It is mostly carried out in the automotive industry and industrial sectors for designing purposes. In this process, two metal sheets are joined by the heat obtained during the flow of resistance electric current through the surface of contact. In this welding technique, pressure which is exerted by the electrodes joins the sheet metals. The experimentation in this work uses three factors with each factor having three levels. The three factors used are welding current, electrode force and weld time. The weld characteristics that were optimized are tensile weld strength, the size of indentation. The investigation is based on Taguchi approach [L9], using Analysis of variance (ANOVA) for determining the influence of weld parameters within optimal conditions.
The present work deals with the optimization of welding process variables by using Tungsten inert... more The present work deals with the optimization of welding process variables by using Tungsten inert gas welding. In this process input variables are voltage (V), current (I) and welding speed (S) with tensile strength and hardness as responses of low carbon steel (ASTM A29). The investigation is based on Taguchi approach [L 9 ], using Analysis of variance (ANOVA) to determine the influence of parameters with the optimal condition. Finally, the confirmation test has been carried out to compare the predicted value of tensile strength and hardness with the experimental value.
This paper presents an experimental investigation on the surface roughness of pure commercial Al ... more This paper presents an experimental investigation on the surface roughness of pure commercial Al and Al-15 wt% coconut shell ash (CSA) composites produced by stir casting method. The effect of reinforcements and machining parameters such as cutting speed, feed rate, and depth of cut on surface roughness, which greatly influence the performance of the machined product, were analyzed during turning operation. The optimum machining parameters were found in minimizing the surface roughness of the materials by using the Taguchi [L 9 ] and ANOVA approach. Results show that the presence of the CSA particles reduces the surface roughness of composites compared with pure Al. Confirmation tests were performed to validate the regression models.
—This paper is represents the experimental investigation on surface roughness, microstructure, ha... more —This paper is represents the experimental investigation on surface roughness, microstructure, hardness of Al, and Al-Al2O3 (15% volume) composite. The effect of machining parameters such as depth of cut, feed rate, cutting speed was studied during turning operation. The response in this study such as forces (radial force, thrust force, feed force), surface roughness, tool life. The experiments are designed based on Taguchi [L9] orthogonal approach. Analysis of variance (ANOVA) has revealed the effect of influencing parameter on each response. Finally ANOVA revealed that presence of alumina in aluminium increase the surface roughness value, tool life as compare to the pure Al material.
In this modern era, the demand of aluminium and its composites has grown day by day due to its va... more In this modern era, the demand of aluminium and its composites has grown day by day due to its vast applications due to low coefficient of thermal expansion, moderate in strength, excellent ductility and light weight. So, this paper aims to study of physical, mechanical, micro structural and machinability properties of the Aluminum (Al-1100) metal with a reinforcement of Coconut Shell Ash (CSA) (15% of volume) fabricated, by liquid metallurgical route. The experiments are designed by Taguchi approach [L9]. The effect of the machining parameters like speed, feed and depth of cut where examine in detail on MRR, Surface roughness for aluminium and surface roughness for composite, during the process of turning operation. Due to the presence of CSA particles the surface roughness of composites decreases compare to its parent metal Al. ANOVA methods have been used for obtaining the best machining parameters by increasing the MRR and decreasing the Surface roughness.
Resistance spot welding is a widely used technique for welding metal sheets. It is mostly carried... more Resistance spot welding is a widely used technique for welding metal sheets. It is mostly carried out in the automotive industry and industrial sectors for designing purposes. In this process, two metal sheets are joined by the heat obtained during the flow of resistance electric current through the surface of contact. In this welding technique, pressure which is exerted by the electrodes joins the sheet metals. The experimentation in this work uses three factors with each factor having three levels. The three factors used are welding current, electrode force and weld time. The weld characteristics that were optimized are tensile weld strength, the size of indentation. The investigation is based on Taguchi approach [L9], using Analysis of variance (ANOVA) for determining the influence of weld parameters within optimal conditions.
The present work deals with the optimization of welding process variables by using Tungsten inert... more The present work deals with the optimization of welding process variables by using Tungsten inert gas welding. In this process input variables are voltage (V), current (I) and welding speed (S) with tensile strength and hardness as responses of low carbon steel (ASTM A29). The investigation is based on Taguchi approach [L 9 ], using Analysis of variance (ANOVA) to determine the influence of parameters with the optimal condition. Finally, the confirmation test has been carried out to compare the predicted value of tensile strength and hardness with the experimental value.
This paper presents an experimental investigation on the surface roughness of pure commercial Al ... more This paper presents an experimental investigation on the surface roughness of pure commercial Al and Al-15 wt% coconut shell ash (CSA) composites produced by stir casting method. The effect of reinforcements and machining parameters such as cutting speed, feed rate, and depth of cut on surface roughness, which greatly influence the performance of the machined product, were analyzed during turning operation. The optimum machining parameters were found in minimizing the surface roughness of the materials by using the Taguchi [L 9 ] and ANOVA approach. Results show that the presence of the CSA particles reduces the surface roughness of composites compared with pure Al. Confirmation tests were performed to validate the regression models.