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Sunday, 04 July 2021 21:18

M.Sc. discussion in Materials Engineering Department

 

Materials Engineering Department at UOT discussed M.Sc. thesis entitled

(Nano-materials as corrosion Inhibitors for steel in corrosive Media),

for the student, Sama Zuhair Ali, which aimed to study the development of a model using a multi-objective optimization by a single response and using the desirability function-based Taguchi orthogonal array). Two types of nanomaterials (TiO2, SiO2) were used in this research to improve corrosion resistance. The first type (TiO2) was applied to the (Electroless coating) and another type (SiO2) was prepared as nano-retardant solution added to the corrosion solution. The influence of factors was evaluated using analysis of variance (ANOVA).

According to the individual optimization results, the electroless coating process parameters are Bath Temperature (74°C, plating Time (60min) and the wear rate is (0.0062) mmpy, T (70°C), t (60min) = 60, Microhardness (372.1121 Hv), and at T (70°C), t (109 min) were the coating roughness (2.5111µм) and the coating thickness (76.9881 µм).The results of multi-objective optimization indicated that the optimum level of coating conditions (EN) is (both degree Temperature = (70°C), coating time = (120 minutes), and compound tolerance = (0.7546).From ANOVA analysis, it was noted that the temperature of the coating bath is the main influence with a percentage of (71%) effect on (Electroless coating). (SEM) The characterization showed that the surface of the (EN) coatings is smooth, low porosity and dense.

(XRD) results showed different formation of nickel phosphite compounds. Corrosion Inhibition Coatings showed high activity of corrosion inhibitor.

The discussion committee consisted of

  • Dr. Ali Hussein Ateiwi/ the head.
  • Prof. Dr. Ayad Murad / Member.
  • Prof. Dr. Khalid Khudair Abbas / Member
  • Dr. Abbas Khammas Hussein / supervisor.
  • Prof. Dr. Laith Qais Abbas / supervisor.
  • Dr. Kahdim Kamel Rassan / Al-Mustansiriya University / College of Engineering / Scientific Advisor
  • Dr. Zainab Naif Rashid / linguistic Advisor.
 
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