The UTC Graduate School is pleased to announce that Abdelrahman Amin will present Master’s research titled, A MULTISCALE APPROACH TO CONTROLLING CORROSION IN MAGNESIUM-BASED MATERIALS: NANOPARTICLE ALLOYING, HYBRID COATINGS, AND PREDICTIVE MODELING on 06/18/2025 at 3-5 pm in EMCS 403. Everyone is invited to attend.
Engineering
Chair: Dr. Hamdy Ibrahim
Co-Chair:
Abstract:
Biodegradable materials have garnered significant interest over the past decades as alternatives to non-degradable implant materials used in osteosynthesis surgeries. Among these, magnesium and its alloys have emerged as promising candidates due to their favorable mechanical properties and biocompatibility. However, the high degradation rate of magnesium in aqueous environments remains a major limitation to its broader application. To address this challenge, recent research has focused on tailoring the corrosion behavior of magnesium using alloying, coatings, and various fabrication processes to suit specific clinical needs. In this work, we explore two distinct approaches to enhance the performance of magnesium-based implants. The first approach involves the use of powder metallurgy to incorporate nanoparticles into magnesium alloy powders and investigate their impact on key performance properties. The second novel approach focuses on systematically examining the influence of different coating parameters for a hybrid micro-arc oxidation (MAO) and sol-gel coating process to gain a deeper understanding of the factors’ role in achieving desirable implant characteristics. Additionally, we present an innovative machine learning (ML) model developed to predict the corrosion behavior of MAO-coated magnesium. This model, applied for the first time to deal with the very complex corrosion behavior of magnesium-based systems, utilizes key process parameters as predictors. Such an ML approach is expected to minimize material usage and reduce experimental time when predicting the corrosion behavior of MAO-coated magnesium materials.