To browse Academia. Quality being the major requirement in any manufacturing process, it is necessary to optimize the process to obtain better quality. This experimental study concentrates on the understanding of machining process in turning of 11sMn30 using carbide tip insert under dry condition.
The experimentation was carried out using three variables namely cutting speed, feed rate and depth of cut. The main objective of this work is to find out the optimal cutting parameters that affect the surface roughness values Ra and Rz. The optimized values for surface roughness Ra and Rz were obtained and found out that the effect of feed rate is the most significant factor on the surface roughness of the work piece.
This investigation focuses on the influence of tool geometry on the surface finish obtained in turning of AISI steel. In order to find out the effect of tool geometry parameters on the surface roughness during turning, response surface methodology RSM was used and a prediction model was developed related to average surface roughness Ra using experimental data.
The results indicated that the tool nose radius was the dominant factor on the surface roughness. In addition, a good agreement between the predicted and measured surface roughness was observed. AISI is a steel alloy used for manufacturing parts of medium speed and medium load such as gears and shafts mainly used in automotive applications. Parts made from AISI steel require machining processes such as turning and milling to achieve the final part shape.
Limited research has been reported on the machining vibration and surface roughness during turning of AISI in the open literature. Therefore, the main aim of this paper is to conduct a systematic study to determine the optimum cutting conditions, analysis of vibration and surface roughness under different cutting speeds, feed rates and cutting edge angles using response surface methodology RSM.
