Rasha Afify
Lecturer
Corrosionrate prediction model using Box-Cox transformation of friction stir processed Al-Si alloy
ENGINEERING RESEARCH JOURNAL (ERJ) • 2020
Publication Information
Authors
Tamer Samir Mahmoud; Elsayed Hamza Mansour; Rasha Mohamed Afify; and KhadigaMuftah Mohamed Hasona
Keywords
Friction stir processing; Aluminium cast alloys; Corrosion;Box-cox transformation; ANOVA
Journal
ENGINEERING RESEARCH JOURNAL (ERJ)
Publisher
Not Available
Volume
1
Issue
43
Pages
1-6
publication.type
Local
Paper Link
Not Available
Supplementary Materials
Rasha Afify_khadega 3.pdf
Abstract
In the present work ,the impact of friction stir processing (FSP) process parameters such as traverse feed
rate, rotational speed and the type of pin profile tool (form and threaded cylindrical pin profiled tool geometry) on
the pitting corrosion rate of A356 cast aluminum alloy was statistically investigated .Potentio dynamic polarization
testing was conducted to determine the corrosion properties of the base alloy and the FSPed samples. It is found
that, the most important parameter impacting pitting corrosion rate is the rotational speed, while the pin profile tool
geometry has a second ranking parameter. The traverse feed rate has no statistical significant impact on corrosion
rate .In addition to, the form tool pin profile produces a better pitting corrosion resistance of the stir zones compared
to the threaded cylindrical pin profiled tool.Regression model was firstly used to develop the corrosion rate of FS
processed A356 cast Al alloy .Then ,the plotting of residuals versus fitted values indicated a non-constant variance
of this initial model, Box-Cox transformation was used to improve regression prediction model to the data and
eliminate these drawbacks
rate, rotational speed and the type of pin profile tool (form and threaded cylindrical pin profiled tool geometry) on
the pitting corrosion rate of A356 cast aluminum alloy was statistically investigated .Potentio dynamic polarization
testing was conducted to determine the corrosion properties of the base alloy and the FSPed samples. It is found
that, the most important parameter impacting pitting corrosion rate is the rotational speed, while the pin profile tool
geometry has a second ranking parameter. The traverse feed rate has no statistical significant impact on corrosion
rate .In addition to, the form tool pin profile produces a better pitting corrosion resistance of the stir zones compared
to the threaded cylindrical pin profiled tool.Regression model was firstly used to develop the corrosion rate of FS
processed A356 cast Al alloy .Then ,the plotting of residuals versus fitted values indicated a non-constant variance
of this initial model, Box-Cox transformation was used to improve regression prediction model to the data and
eliminate these drawbacks