Parameter Optimization of Single Point Incremental Forming on Al6063A Sheet
| dc.contributor.advisor | Mesfin Gizaw (PhD) | |
| dc.contributor.author | Bayissa Bedada | |
| dc.date.accessioned | 2024-09-03T08:21:28Z | |
| dc.date.available | 2024-09-03T08:21:28Z | |
| dc.date.issued | 2024-06 | |
| dc.description.abstract | The incremental sheet forming (ISF) method is regarded as a practical solution for forming a variety of sophisticated and small-batch sheet components. Surface finish is an important aspect of incremental sheet forming (ISF), and it is influenced by a number of process variables such as tool diameter, step depth (vertical depth increment), spindle speed, and feed rate. As a result, for incremental sheet forming, process parameter optimization is chosen to produce products with an excellent surface finish and with no defects. Hence, the optimization's goal is to produce a good surface-finish product using a single point incremental forming process without fracture. In order to achieve this, aluminum alloy (Al6063A) is studied using ABAQUS simulation technique and experimental analysis. Due to its moderate strength to weight ratio and easy of formability, the aluminum alloy Al6063A is widely used in automotive and part profiles for architectural applications. The Taguchi technique of DOE with ANOVA and L9 orthogonal array is designed to identify the rank, Percentage contribution and optimum values of process parameters in ISF (incremental sheet forming) to reduce the surface roughness. The results of ANOVA revealed that Tool diameter has greater contributions (88.94%) followed by feed rate (7.44 %), Spindle Speed (3.4%), Step depth 0.22% respectively. The stress value of experiment 7 (1216 MPA) which is a good surface finish product of all. The predicted optimum value for the surface roughness is 0.43μm and the confirmation experiments was conducted thrice and the value of surface roughness found to be 0.37μm which is at 95% confidence level. The confirmation result shows the recommended forming process parameter values to surface roughness based on Taguchi analysis were precise and fitted to the optimum values. | |
| dc.identifier.uri | https://etd.aau.edu.et/handle/123456789/3452 | |
| dc.language.iso | en_US | |
| dc.publisher | Addis Ababa University | |
| dc.subject | SPIF | |
| dc.subject | Optimization | |
| dc.subject | surface roughness | |
| dc.subject | Taguchi | |
| dc.subject | ANOVA | |
| dc.title | Parameter Optimization of Single Point Incremental Forming on Al6063A Sheet | |
| dc.type | Thesis |