Optimization of Machining Parameters for Maximum Material Removal Rate in Turning of AISI 52100 Steel by Using Response Surface Methodology
Abstract
Metal machining has been a very important process in Production. Machining Conditions play a vital role in estimating the performance of machining operations. It have long been recognized that the machining conditions, such as cutting speed, feed and depth of cut affect the performance of the operation in great extent. These parameters must be selected to optimize the quality of machining operations. It can be achieved by mathematical modeling of performance as a function of machining conditions using design of experiments (DOE).
Model adequacy tests were conducted using ANOVA table and the effects of various parameters were investigated and presented in the form of contour plots and 3D surface graphs. Numerical optimization was carried out considering all the input parameters within range so as to minimize the surface roughness indicators and maximize the material removal rate.
The optimal values for material removal rate obtained are cutting speed 260.00 m/min, feed 0.50 mm/rev, depth of cut 0.50 mm. The findings of this study would be beneficial to manufacturing industries where MRR plays a very important role.
Key Words: DESIGN EXPERT, RSM, FEED, DOC, SPEED
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International Journal of Engineering Technology and Computer Research (IJETCR) by Articles is licensed under a Creative Commons Attribution 4.0 International License.