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Optimization of surface roughness and microhardnessusing the Taguchi method in conventional and ultrasonic-assistedmilling of aluminum A356 |
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| รหัสดีโอไอ | |
| Creator | 1. Sed Udomboonyanupap 2. Somsak Siwadamrongpong 3. Apiwat Muttamara 4. Thongchai Pangjundee |
| Title | Optimization of surface roughness and microhardnessusing the Taguchi method in conventional and ultrasonic-assistedmilling of aluminum A356 |
| Publisher | Research and Development Office, Prince of Songkla University |
| Publication Year | 2563 |
| Journal Title | Songklanakarin Journal of Science and Technology |
| Journal Vol. | 42 |
| Journal No. | 3 |
| Page no. | 705-713 |
| Keyword | ultrasonic-assisted milling, surface roughness, microhardness, Taguchi method, analysis of variance |
| URL Website | https://rdo.psu.ac.th/sjstweb/index.php |
| ISSN | 0125-3395 |
| Abstract | The Taguchi method and regression analysis were used to evaluate the machinability of aluminum A356 withconventional and ultrasonic-assisted milling. Experiments were carried out based on an orthogonal array L18 with threeparameters (milling condition, spindle speed, and feed rate). According to the signal to noise ratio (S/N), the optimal surfaceroughness condition was determined at A1B3C1 (i.e., milling condition was conventional milling, spindle speed was 7000 rpm,and feed rate was 50 m/min). The optimal surface hardness condition was found at A2B1C3 (i.e., milling condition wasultrasonic-assisted milling, spindle speed was 3000 rpm, and feed rate was 400 m/min). Analysis of variance (ANOVA) was usedto determine the effects of the machining parameters which showed that the feed rate was the main factor affecting surfaceroughness and microhardness. Linear and quadratic regression analyses were applied to predict the outcomes of the experiment.The predicted and measured values of surface hardness were close to each other while a large error was observed for the surfaceroughness prediction. Confirmation test results showed that the Taguchi method was successful in optimizing the machiningparameters for minimum surface roughness and maximum microhardness in the milling of aluminum A365. |
