|
An Experimental Based Approach Using Artificial Intelligence Algorithm for Determining the Surface Roughness by Milling Process |
|---|---|
| รหัสดีโอไอ | |
| Creator | Afrim Gjelaj, Besart Berisha, Wojciech Sitek |
| Title | An Experimental Based Approach Using Artificial Intelligence Algorithm for Determining the Surface Roughness by Milling Process |
| Contributor | - |
| Publisher | TuEngr Group |
| Publication Year | 2565 |
| Journal Title | International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies |
| Journal Vol. | 13 |
| Journal No. | 5 |
| Page no. | 13A5B: 1-9 |
| Keyword | Milling; Surface roughness model; Testing of material; Optimization; Artificial intelligence |
| URL Website | http://TuEngr.com/Vol13-5.html |
| Website title | ITJEMAST V13(5) 2022 @ TuEngr.com |
| ISSN | 2228-9860 |
| Abstract | Surface roughness plays an important role in the machining area. This work aims to investigate surface roughness with the use of main machining parameters. Steel C35 is used as workpiece material while performing experimental work with twenty-one experiments, and coolant is taken as constant. The experimental model considers two ways to analyze the surface roughness using Artificial Intelligence. The first is the measurement of surface roughness after machining, and the second is to compare the measurement in a theoretical way. |
