User:Shamim Pourrahimi

I am Shamim Pourrahimi, a researcher with a Ph.D. in Mechanical Engineering from École de Technologie Supérieure – University of Quebec. My Ph.D. research focused on sustainability in titanium alloy additive manufacturing (AM) and post-processing, particularly electrochemical surface treatments and corrosion characterization of AM titanium alloys to enhance their durability in corrosive environments. I also explored circular manufacturing by studying the effects of reusing unfused metal powder on corrosion behavior in subsequent production batches. Additionally, I developed a non-destructive surface texture analysis method using X-ray computed tomography to quantify roughness in inaccessible regions of complex AM parts. During my Ph.D., I completed a machine learning course and applied this knowledge as a side project to classify corrosion types in stainless steel using AI techniques.

I gained exceptional experience and learned extensively throughout my Ph.D. program. My engineering foundation, however, was built during my undergraduate and master’s studies at Amirkabir University of Technology (Tehran Polytechnic), where I had the unique opportunity to pursue both materials science and mechanical engineering simultaneously. Recognized for academic excellence, I was directly admitted to the master’s program without an entrance exam through the university’s talent recognition initiative.

With a multidisciplinary background spanning materials science, electrochemistry, mechanical engineering, and machine learning, I have hands-on experience in electrochemical processing, corrosion evaluation, and AI-driven materials analysis. I am particularly interested in using machine learning as a predictive and decision-making tool for material selection, durability enhancement, and maintenance planning through data-driven insights.

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• Doctor of Philosophy (PhD), Mechanical Engineering (2020 – 2024) École de Technologie Supérieure – University of Quebec

• Master of Science (MSc), Materials Engineering (2014 – 2017) Amirkabir University of Technology - Tehran Polytechnic
• Bachelor of Science (BSc), Mechanical Engineering (2012 – 2016) Amirkabir University of Technology - Tehran Polytechnic
• Bachelor of Science (BSc), Materials Engineering (2010 – 2014) Amirkabir University of Technology - Tehran Polytechnic

1. Main PhD project: Sustainability in titanium alloy additive manufacturing and post-processing – an electrochemical and image processing approach
   • Environmental impact minimization: Optimization of electrochemical surface treatment for titanium-alloy additive manufactured (AM) parts in eco-friendly electrolytes
   • Material durability: Optimization of surface treatment for AM titanium alloy to enhance corrosion resistance and material longevity
   • Waste reduction: Developing a non-destructive approach for roughness measurement of inaccessible surfaces in complex AM lattice structures using image processing of X-ray computed tomography data
   • Waste reduction/Material durability: Investigation of the influence of powder reuse (the process of reusing unfused powder in subsequent AM production batches) on the corrosion behavior of parts
2. Side PhD projects:
   • Application of machine learning for corrosion classification: Proposing a machine learning model to classify and predict the corrosion behavior of various stainless steels based on type or key chemical composition elements in different environments, considering critical factors such as temperature, pH, and sulfide concentration. The model is trained on a steel manufacturer’s database and can assist in material selection for corrosive applications
   • Electrowinning of printed circuit board (PCB) waste: extraction of the most abundant metal from PCB waste using the electrochemical electrowinning technique
   • Circular 3D: Re-utilization of powders for binder jetting AM in collaboration with Nanogrande Inc.
   • Characterizing epoxy-coated steels: Corrosion investigation of steel coated with graphene/epoxy nanocomposite coatings using electrochemical techniques

• CAPSolar (2024): The project investigates the degradation of flexible photovoltaic modules in a marine environment, examining how different material combinations influence degradation under severe marine exposure, following standards IEC 61701 and IEC 60068-2-52. This internship was supported by the Mitacs Business Strategy Internship program.
• Nanogrande (2022): The project focused on optimizing printing parameters for various materials on the binder jet additive manufacturing machine developed by Nanogrande. This internship was supported by the Mitacs Business Strategy Internship program.

1. S Pourrahimi, LA Hof, On the Optimization of Roughness and Corrosion Resistance of Laser Beam Powder Bed Fusion Fabricated Ti–6Al–4V Parts—An Electrochemical Approach, Advanced Engineering Materials 26 (23), 2401395, DOI
2. S. Pourrahimi, LA Hof, On the Post‐Processing of Complex Additive Manufactured Metallic Parts: A Review, Advanced Engineering Materials 26 (10), 2301511, DOI
3. S Pourrahimi, S Hakimian, AH Bouzid, LA Hof, On the use of machine learning algorithms to predict the corrosion behavior of stainless steels in lactic acid, Metals 13 (8), 1459, DOI
4. S Hakimian, S Pourrahimi, AH Bouzid, LA Hof, Application of machine learning for the classification of corrosion behavior in different environments for material selection of stainless steels, Computational Materials Science 228, 112352, DOI
5. S Pourrahimi, M Rezaei, SH Tabaian, Electrochemical investigation of Pt–Pd nanoparticles formation–reduction kinetics and nucleation mechanisms, Journal of Applied Electrochemistry 49, 1143-1155, DOI