S. Jeevanantham ¹, J. David Rathnaraj ², D. S. Robinson Smart ³, S. Nallusamy ⁴, N. Manikanda Prabu ⁵

Affiliations
1 Department of Mechanical Engineering, Karpagam University, Coimbatore - 641021, Tamil Nadu, IN
2 Department of Mechanical Engineering, Sri Ramakrishna Engineering College, Coimbatore - 641022, Tamil Nadu, IN
3 3School of Mechanical Sciences, Karunya University, Coimbatore - 641114, Tamil Nadu, IN
4 Department of Mechanical Engineering, Dr. M G R Educational and Research Institute, Chennai - 600095, Tamil Nadu, IN
5 Department of Mechanical Engineering, Nehru institute of Engineering and Technology, Coimbatore - 641105, Tamil Nadu, IN

Abstract

Objective: To generate the information about the process of internal grinding applied to envisage the grinding performance and accomplish the optimal operating procedure characteristics. In recent engineering and technology surface finish and precision are playing a major role in the manufacturing organizations. Method/Analysis: Different methods such as burnishing, honing, lapping and grinding are exercised for accomplishing good quality of surface finish. Grinding is the appropriate method for improving the surface finish and precision concurrently between all of those constraints. Recently lot of researches has been carried out on surface grinding process, but only few articles were elaborately described about the internal grinding procedure. In view of the fact the internal grinding processes was chosen as a main tool to characterize throughout this study. Findings: Similar to surface grinding various process parameters are used to get high surface finish and it could be achieved for the various components. This article relating the possibilities to get greater surface finish in internal grinding process and also it demonstrates the machining parameters involved in this process. Application/ Improvements: The machining parameters involved in these abrasive machining technologies were speed, feed, depth of cut and material removal rate and also these constraints were considered throughout the theoretical investigation.

Keywords

Internal Grinding, MRR, Process Constraints, Surface Roughness, Surface Finish.

Full Text

   

R. Babu ¹, D. S. Robinson Smart ¹, G. Mahesh ², M. Shanmugam ³

Affiliations
1 Department of Mechanical Engineering, Karunya School of Mechanical Sciences, Karunya University, Coimbatore - 641114, Tamil Nadu, India, IN
2 Department of Mechanical Engineering, Sree Sakthi Engineering College, Karamadai, Coimbatore - 641104, Tamil Nadu, IN
3 Bimetal Bearings Limited, Coimbatore - 641 018, Tamil Nadu, IN

Abstract

Optimum selection of machining parameters and its cutting conditions plays a major role in increase of productivity and minimization of total machining time. A significant improvement in process may lead to increase the process efficiency and low cost of manufacturing. In this research, Spindle speed, Feed rate, Depth of cut and End relief angle is considered as an input parameter for facing the A22E Bimetal bearing material using M42 HSS tool material. A second order mathematical model is developed using Design of Experiments (DoE) of Response Surface Methodology (RSM) to predict machining time on bimetal bearing material using special Industrial type of CNC lathe. The Analysis of Variance (ANOVA) was used to study the performance characteristics in facing operation. The values of Prob>F less than 0.05 indicate model terms are significant. Design Expert software is used to analyze the direct and interaction effects of the machining parameter. The genetic algorithm (GA) is trained and tested using MATLAB 7.0. The GA recommends 1.169 seconds as the best minimum predicted machining time value. The confirmatory test shows the second order regression predicted values and experimental values were very close and good agreement.

Keywords

Depth of Cut, End Relief Angle, Feed Rate, Genetic Algorithm (GA), Machining Time, Response Surface Methodology (RSM), Spindle Speed.

Full Text