Statistical Analysis of Statistical Analysis of Statistical Analysis of Hardness and Wear Behaviour of Friction Stir Processed Cast Al-Si Alloy | ||||
| Engineering Research Journal (Shoubra) | ||||
| Volume 43, Issue 1, January 2020, Page 7-12 PDF (402.64 K) | ||||
| Document Type: Research articles | ||||
| DOI: 10.21608/erjsh.2020.242102 | ||||
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| Authors | ||||
| Tamer Samir Mahmoud1; Elsayed Hamza Mansour1; Rasha Mohamed Afify2; KhadigaMuftah Mohamed Hasona1 | ||||
| 1Mechanical Engineering Department , Shoubra Faculty of Engineering ,Benha University ,Cairo ,Egypt. | ||||
| 2Mechanical Engineering Department , Shoubra Faculty of Engineering ,Benha University ,Cairo ,Egypt | ||||
| Abstract | ||||
| In this paper, statistical investigation was used to determine the influence of friction stir processing (FSP) variables such as tool pin profile, tool rotational speed and traverse speed on some mechanical properties of A356 cast aluminum alloy. Specimens were treated by FSP to produce refined microstructure locally. It has been found that the most significant variable affecting wear resistance and hardness is the rotational speed, whereas the tool traverse speed has a second ranking. The pin profile tool geometry has no statistical important influence on hardness and wear rate. The quadratic regression model was used to predict the hardness and wear rate of FS processed A356 alloy. | ||||
| Keywords | ||||
| Design of Experiments; friction stir processing; mechanical properties | ||||
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