Effect of Coolant Variation and Process Parameters on Surface Roughness of ASTM A36 Steel in Milling Process with Taguchi Method and ANOVA
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Abstract
The machining process is a process carried out to change the shape of a workpiece by removing some of the material from the workpiece so that it becomes the desired product by using machine tools. One example of a machining process using machine tools is a machining process that uses a milling machine. This study aims to determine the optimization of parameters in the milling process. Data were collected using the Taguchi and ANOVA methods for ASTM A36 steel products and to determine the effect of the coolant on the roughness quality of ASTM A36 steel. After calculating and taguchi graphs, the optimal factors and levels are obtained. Where the factors and levels are spindle speed 1100 rpm, depth of cut 0.5 mm, feeding speed 24 mm/minute and oil coolant. Furthermore, from the calculation of ANOVA (Analysis of Variance) which gets the calculated F value. The calculated F will be compared with the F table value with a 95% confidence level. In this calculation, it is explained that the spindle rotation speed factor results in the calculated F of 8.159. This shows that f arithmetic is greater than f table (5.1433) which means the effect is significant. Meanwhile, the depth of cut factor, feeding speed and coolant have no significant effect
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