OPTIMIZATION AND ANALYSIS OF LUBRICATING EFFECT ON MACHINING PARAMETER
Sagar Gupta, Avinash Bhardwaj, Devendra Kashyap, Jogendra Jangde
ABSTRACT
Lubrication in machining is an important aspect to minimize surface roughness and material removal rate. Analysis of the surface roughness and MRR is done experimentally with specific input values of feed, speed, and Depth of cut has to design the experiment for optimizing the best parameter. To optimize these machining parameters in which the most significant parameters affecting the surface roughness can be identified, Taguchi design is used with the orthogonal array L9 but for both cases are performed to make 18 experiment. With the help of ANOVA (Analysis of Variance), the most effective or the optimal parameters for the output is determined. Resolve the most significant factors and their level for optimum surface roughness by analysis of variance (ANOVA) methods are implemented for optimization to select the best parameter to apply TOPSIS method.
[Full Text Article]
