Analysis Effect of Surface Roughness, Material Removal Rate and Tool Life in Turning of Mild Steel Material
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Date
2017-05
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Addis Ababa University
Abstract
This Experimental work presents a technique to determine the better productive quality
by Analysis of Effect Surface Roughness, Material Removal Rate and Tool Life in Turning
of Mild Steel by controlling cutting experiment. Turning Experiments on Laze Machine
were conducted with Spindle Speeds: 530, 700, 860 rev/min, Feeds: 0.5, 0.6, 0.7
mm/rev and Depth of cuts: 0.5, 1.0, 1.5 mm. Thus the three input process parameters
such as Spindle Speed, Depth of Cut and Feed Rate have been selected to minimize the
Surface Roughness, maximize Material Removal Rate and Tool life simultaneously The
present work focused by using L9 Orthogonal Array (OA) on the processing steps to get
the optimal values with the help of Minitab software using main effects graph, and
Analysis of variance (ANOVA) was employed to investigate the characteristics and
experimental results are provided the effectiveness of this approach. This technology
has met the current needs of Industry owing to its shorter design cycles and improved
the design of quality using Taguchi Method. The results revealed that the feed rate
(68.7%) is only significant to minimize surface roughness and optimum values are
(530rpm, 0.5mm/rev, 0.5mm) secondly spindle speed (48.7%) the major significant
parameter for Maximize Material Removal Rate and the Optimum values are (860rpm,
0.7mm/rev, 1.5mm) lastly spindle speed (75.3%) is Highly significant parameter for
maximize Tool life and the optimum values are (530rpm, 1mm/rev, 0.5mm), Finally, the
relationship between cutting parameters and the performance measures ( Surface
Roughness, Material Removal Rate and Tool life) were developed by using multiple
regression analysis.
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Keywords
Taguchi orthogonal array, S/N ratio, Surface Roughness, Material Removal Rate, Tool life, Regression Analysis