Analysis Effect of Surface Roughness, Material Removal Rate and Tool Life in Turning of Mild Steel Material
| dc.contributor.advisor | Daniel, Tilahun (PhD) | |
| dc.contributor.author | Muluken, Tesfaye | |
| dc.date.accessioned | 2020-11-26T10:30:38Z | |
| dc.date.accessioned | 2023-11-18T06:29:09Z | |
| dc.date.available | 2020-11-26T10:30:38Z | |
| dc.date.available | 2023-11-18T06:29:09Z | |
| dc.date.issued | 2017-05 | |
| dc.description.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. | en_US |
| dc.identifier.uri | http://etd.aau.edu.et/handle/12345678/23626 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Addis Ababa University | en_US |
| dc.subject | Taguchi orthogonal array | en_US |
| dc.subject | S/N ratio | en_US |
| dc.subject | Surface Roughness | en_US |
| dc.subject | Material Removal Rate | en_US |
| dc.subject | Tool life | en_US |
| dc.subject | Regression Analysis | en_US |
| dc.title | Analysis Effect of Surface Roughness, Material Removal Rate and Tool Life in Turning of Mild Steel Material | en_US |
| dc.type | Thesis | en_US |