Investigating Optimum Parameter Required for Drilling Mild Steel Using Response Surface Methodology (Published)
The study investigated on optimum parameters required for drilling mild steel using Response Surface Methodology (RSM) based on L9-A 34-2 fractional factorial design. The mild steel workpiece is of dimension of 200 mm by 80 mm with a thickness of 1.5 mm. The study employed the following process parameters namely, cutting speed, feed, depth of cut and tool for minimizing surface roughness of mild steel. Vertical pillar drilling machine of METALIK PK203 model was used for the drilling operation and coupling ultrasonic thickness meter of TM-8810 model was also used to measure the surface roughness of the workpiece after drilling. Analysis of Variance (ANOVA) was carried out to test for the significant level of the process parameters for optimizing surface roughness. The findings revealed that the process parameters has a high significant effect in influencing the response variable at 5% significant level and that optimum process parameters can be achieved at an intermediate level during drilling operation. The findings also revealed that there exist a good agreement between the estimated and experimental results based on the mathematical model formulated.
Experimental investigation of turning process parameters using Taguchi Method for mild steel (Review Completed - Accepted)
The Optimization of Multi response is now-a-days mostly used optimization technique which is better than single response optimizing technique because all the output is affected at a time by all the input factors .The objective of this project work is to determine the optimal setting of cutting parameters (speed(N)m/min , depth of cut(d) mm , feed(f)mm/rev, Nose Radius(r)mm) to minimize surface roughness(Ra) . In this work, Ferrous (Mild Steel) workpiece and Non-Ferrous (Aluminium) work pieces are turned on automatic HMT lathe by using High Speed Steel tool. . In order to produce any product with desired quality by machining, proper selection of process parameters is essential. This can be accomplished by Taguchi approach. This study highlights use of Taguchi experiment design to optimize the multi response parameters on turning operation. For this experiment Taguchi design of experiment was carried out to collect the data for surface roughness. The results indicate the optimum values of the input factors and the results are conformed by a confirmatory test