Mohammad.J Abdollahzadeh

Experience

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  Sharif University of Technology

  Sept 2013 - Feb 2018

  Research Assistant

  🌊 Description:My research focused on fluid dynamics and drag reduction, where I conducted CFD-based simulations to analyze water flow over microgrooved surfaces. Using COMSOL, Fluent, and MATLAB, I investigated surface optimization strategies for marine applications, integrating genetic algorithms (GA) with CFD to minimize drag and enhance energy efficiency.📌 Key Contributions:• 🌊 Conducted water flow simulations over microgrooved substrates, comparing rectangular, elliptical, and trapezoidal shapes to minimize drag and improve energy efficiency.• ⚙️ Achieved a 22% reduction in drag by optimizing groove geometries using a genetic algorithm (GA) integrated with CFD.• 🔬 Developed a novel methodology coupling GA and CFD to optimize microgrooved surfaces for marine and submarine applications.• 📊 Analyzed the effects of groove width and depth on pressure drop, identifying optimal dimensions for improved hydrodynamic performance.• 💨 Discovered the role of vortices in cavities (air, water, or both phases) in reducing pressure drop by altering water–air and water–solid interfaces.• 🏗️ Determined that rectangular grooves are the optimal geometry for maximum pressure drop reduction compared to elliptical and trapezoidal shapes.• 🚀 Evaluated the relationship between capillary number and pressure drop, demonstrating reduced pressure with increased velocity.• 🌎 Enhanced understanding of water penetration behavior in microgrooves, providing valuable insights for fluid mechanics and energy-saving designs. Show less

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  The University of Toledo

  Aug 2021 - Feb 2025

  📝 Description:As a Research Assistant, I focused on additive manufacturing of NiTi alloys, specifically investigating melt-pool dynamics, process optimization, and material behavior in Laser Powder Bed Fusion (LPBF) and Direct Energy Deposition (DED-Wire). Using CFD modeling and thermodynamic simulations, I analyzed the influence of laser parameters on melt-pool formation, cooling rates, and solidification behavior to enhance manufacturing quality.📌 Key Contributions:🔥 Predicted material properties of NiTi alloys using Thermo-Calc software, conducting detailed thermodynamic analysis to support additive manufacturing research.🖥️ Developed advanced powder bed simulations in Flow3D-DEM, optimizing input parameters for accurate LPBF modeling.🔬 Integrated thermodynamic data with CFD models (Thermo-Calc & Flow3D-AM) to simulate single-track formation, analyzing melt-pool dynamics, morphology, cooling rates, and solidification behavior.⚙️ Conducted parametric studies on the effects of laser power & scan speed in LPBF, uncovering insights to improve melt-pool morphology & manufacturing quality.🔩 Simulated single-track formation in Direct Energy Deposition (DED) using wire feed technology, optimizing process parameters for enhanced melt-pool stability & performance.🔥Utilized Python for data analysis to examine the correlation between process parameters, temperature variations, and material properties Show less 🎓 Description:As a Teaching Assistant, I supported and instructed over 100 students in hands-on engineering labs, focusing on measurement techniques, instrumentation, and data acquisition. I provided guidance in LabVIEW, signal processing, strain measurement, and thermal analysis, helping students develop a strong foundation in engineering experimentation. Additionally, I assisted in grading assignments for Additive Manufacturing and Thermodynamics courses.📌 Key Contributions:• Teaching Assistant for the Measurement Laboratory, Mechanical, Industrial, and Manufacturing Engineering (MIME) DepartmentSupported and impacted over 100 students by:✓ 🖥️ Instructing and guiding students in using LabVIEW, ELVIS boards, wave generators, and various sensors (pressure, temperature, vibration) in hands-on engineering labs.✓ 🔧 Facilitating strain measurement experiments with different bridge configurations on cantilever beams, enhancing understanding of structural analysis.✓ 📊 Demonstrating signal processing and thermal analysis using high-pass/low-pass filters, infrared thermometers, thermal imagers, and acoustic imagers.• 📑 Assisted with grading assignments for courses in Additive Manufacturing and Thermodynamics 1 & 2, ensuring timely and fair assessment for over 100 students. Show less

  • Research Assistant

    Aug 2021 - Feb 2025

  • Teaching Assistant

    Aug 2021 - Feb 2024
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  First Solar

  Feb 2024 - Dec 2024

  🛠️ Description:As a Development Engineer Intern, I worked on thin-film characterization and predictive modeling for materials used in CdTe and Perovskite Solar Cells. I developed ellipsometry-based models to determine thin-film thickness and optical constants, validated results using XRD, and conducted data analysis in JMP to optimize material properties. My role also involved working with UV-vis spectroscopy, Raman Spectroscopy, and sputtering techniques for material characterization.📌 Key Contributions:• 🔬 Developed predictive models using Ellipsometry data to accurately determine thin-film thickness and optical constants for advanced materials, including SiO₂, NiO, ZMO, and ZnO, tailored for CdTe and Perovskite Solar Cells.• 📊 Conducted data analysis using JMP software, improving model reliability and identifying areas for optimization in thin-film characterization.• 🏗️ Validated thickness measurements using XRD (X-Ray Diffraction) to ensure precision and consistency in experimental results.• ⚙️ Gained hands-on expertise with advanced tools and techniques, including UV-vis spectroscopy, 4-Point Probe, Raman Spectroscopy, and sputtering for thin-film deposition and material characterization. Show less ⚡ Description:As a Reliability Engineer Intern, I conducted comprehensive reliability testing on solar modules, assessing their durability, mechanical strength, and failure modes. Using JMP software for data analysis, I identified stress concentrations, potential failure points, and design optimization opportunities. I also collaborated with laboratories for crack propagation analysis and performed critical safety and mechanical integrity tests.📌 Key Contributions:• 🏗️ Executed comprehensive reliability testing on solar modules, including static and dynamic load testing under varied conditions, to evaluate durability and performance.• 📊 Analyzed numerical data using JMP software to identify stress concentrations, potential failure points, and opportunities for design improvement.• 🔬 Investigated crack initiation and propagation using advanced imaging tools, coordinating with laboratories for detailed analysis and root cause identification.• ⚡ Performed HiPoT tests on JBox connectors to detect potential leakage, ensuring modules met safety and reliability standards.• 🏗️ Conducted MOR (Module of Rupture) and eMOR (Enhanced Module of Rupture) testing on solar cells using Instron machines, providing key insights into material strength and reliability. Show less

  • Development Engineer

    Sept 2024 - Dec 2024

  • Reliability Engineer

    Feb 2024 - Aug 2024