Integrating Taguchi and Response Surface Methodology for Process Parameter Optimization of Extrusion Process
| dc.contributor.advisor | Eshetie, Berhan (PhD) | |
| dc.contributor.author | Andinet, Ayele | |
| dc.date.accessioned | 2019-12-14T07:21:42Z | |
| dc.date.accessioned | 2023-11-18T06:26:54Z | |
| dc.date.available | 2019-12-14T07:21:42Z | |
| dc.date.available | 2023-11-18T06:26:54Z | |
| dc.date.issued | 2019-07 | |
| dc.description.abstract | The research focus on identifying possible product quality problems that adversely affect rate of rework or recyclability by selecting case in EPI. By performing cause and effect analysis to strengthen and diagnose causes corresponding to the identified, prioritized quality problems. Taguchi and Response Surface Methodology design of experiment is systematically approached from the existing EPI extrusion machine set- points to identify the possible response output values approaching. Taguchi is used to screen the variables that have significant effects (were: Feed speed, vacuum pressure, Take-off speed, screw speed and die-temperature) and L27(3 ) orthogonal array by using Minitab and know Response factor: Thickness and Width variation. RSM design experiment for process parameter optimization the selected response factor from Taguchi design experiment selected independent experimental factors: Feed drum, vacuum chamber, rotational screw speed and barrel temperature. The dependent response parameters: Feed speed, vacuum pressure, Takeoff speed, screw speed and die-temperature. After this, Analysis of Variance(ANOVA) used to integrate Taguchi and Response Surface Methodology design experiments. 7 Accordingly, in this research, to set possible parameter combinations and to reduce variation around thickness and width pipe and control the factor with the biggest impact on the Signal to noise ratio is Screw speed. And for mean both show that the factor with the greatest effect on the mean is Feed speed. Finally, the desired target thickness and width of pipe that means optimum parameter level for minimum value of thickness and width variation of the pipe is Feed speed-1, vacuum pressure-1, Take-off speed-1, screw speed-1, temperature one-2, temperature two-3 and temperature three-3 (A1, B1, C1, D1, E2, F3, G3). The S/N ratio optimum parameter level for minimum value of thickness and width variation of the pipe is Feed speed-1, vacuum pressure-2, Take-off speed-1, screw speed-1, temperature one-3, temperature two-1 and temperature three-2 (A1, B2, C1, D1, E3, F1, G2). | en_US |
| dc.identifier.uri | http://etd.aau.edu.et/handle/12345678/20357 | |
| dc.language.iso | en | en_US |
| dc.publisher | Addis Ababa University | en_US |
| dc.subject | Taguchi Method | en_US |
| dc.subject | Response Surface Methodology | en_US |
| dc.subject | Process Parameter Optimization | en_US |
| dc.subject | ANOVA | en_US |
| dc.title | Integrating Taguchi and Response Surface Methodology for Process Parameter Optimization of Extrusion Process | en_US |
| dc.type | Thesis | en_US |