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alimori165/README.md

Hi, I'm Ali Mouri Bazofti đź‘‹

WAAM Researcher | Experimental Metal Additive Manufacturing | Thermo-Mechanical FEM
Materials & Metallurgical Engineer — Amirkabir University of Technology (Tehran Polytechnic)

Email • LinkedIn • GitHub


About Me

I am a materials and metallurgical engineer specializing in Wire Arc Additive Manufacturing (WAAM), welding metallurgy, thermo-mechanical finite-element modelling, and experimental validation.

My research combines robotic GMA-WAAM experiments, thermocouple measurements, microstructural and mechanical characterization, and numerical simulation in ANSYS APDL and SysWeld. I focus on understanding process–thermal–microstructure–property relationships, residual-stress and distortion development, and the influence of deposition conditions on the performance of additively manufactured steels.

I also develop reproducible Python workflows for data-driven WAAM thermal forecasting, including causal, neural-network, and physics-guided modelling with build-independent validation.


Featured Projects

A three-dimensional transient thermo-mechanical finite-element framework for investigating residual stress and distortion in multilayer low-alloy-steel WAAM.

  • Thermal and structural analysis in ANSYS APDL
  • Temperature-dependent material properties
  • Element birth-and-death deposition modelling
  • Imported thermal histories for mechanical analysis
  • Experimental comparison using WAAM measurements

A curated experimental project examining process–structure–property relationships in ER70S-6 low-alloy steel produced under three robotic GMA-WAAM deposition conditions.

  • Optical metallography and grain-size analysis
  • Vickers hardness characterization
  • Direction-dependent tensile testing
  • Charpy impact testing
  • SEM fractography of tensile and impact specimens
  • Reproducible data organization and validation workflow

Data-Driven WAAM Thermal Forecasting

An independent scientific-computing project based on four-channel thermocouple measurements from three multilayer WAAM builds.

  • Thermal-signal preprocessing and feature engineering
  • Causal regression and neural-network forecasting
  • Physics-guided residual modelling
  • Leave-one-build-out validation
  • Leakage-aware and reproducible evaluation

Additional Research

Hydrogen-Assisted Cracking of API 5L X70 Steel

  • Investigated the relationship between hydrogen content and strain
  • Performed hydrogen measurements
  • Developed thermo-elastic-plastic finite-element models of temperature and residual-stress fields

Heat Sources in Directed Energy Deposition

  • Compared laser, electron-beam, and electric-arc heat sources
  • Examined penetration, porosity, distortion, and residual-stress formation

Research Interests

  • Wire Arc Additive Manufacturing
  • Welding Metallurgy
  • Thermo-Mechanical Finite-Element Modelling
  • Residual Stress and Distortion
  • Process–Structure–Property Relationships
  • Experimental Validation
  • Data-Driven and Physics-Guided Process Modelling
  • Mechanical Anisotropy and Fractography

Technical Skills

Modelling and Scientific Computing

ANSYS SysWeld Python MATLAB PyTorch scikit-learn NumPy pandas Git LaTeX

  • Transient thermal and thermo-mechanical analysis
  • Residual-stress and distortion modelling
  • Thermal-signal processing and machine learning
  • Reproducible analysis with Jupyter and Git/GitHub

Experimental and Materials Characterization

  • Robotic GMA-WAAM, GMAW, GTAW, and multilayer deposition
  • Process-parameter analysis and thermocouple measurements
  • Steel and aluminium metallography
  • SEM image analysis and fractography
  • Tensile, Charpy impact, and hardness testing
  • Visual, penetrant, and magnetic-particle inspection

Publications

Manuscripts under review

  1. Finite-Element Simulation of Residual Stress in Wire Arc Additive Manufacturing of Low-Alloy Steel
    Journal of Materials Engineering and Performance

  2. Low-Alloy Steel Fabricated by Wire Arc Additive Manufacturing Using ER70S-6: Microstructure and Mechanical Properties
    Journal of Materials Engineering and Performance


Education and Academic Highlights

  • M.Sc. in Materials and Metallurgical Engineering, Amirkabir University of Technology, 2024
    GPA: 3.8/4.0 • Ranked 1st of 15 • Top 3% in Iran's National M.Sc. Entrance Examination

  • B.Sc. in Safety and Inspection Engineering, Petroleum University of Technology, 2020
    Ranked in the top 8% of the cohort


Teaching Experience

Teaching Assistant at Amirkabir University of Technology:

  • Advanced Metallurgy in Welding
  • Welding Inspection and Quality Control
  • Measurement Errors

Contact

I am seeking PhD opportunities and research collaborations in metal additive manufacturing, welding engineering, computational materials processing, thermo-mechanical simulation, and data-driven manufacturing.

Email: A.mori@aut.ac.ir

Pinned Loading

  1. Hydrogen-Cracking-API-5L-X70 Hydrogen-Cracking-API-5L-X70 Public

    Thermomechanical FEM simulation of weld residual stresses in API X70 steel — effect of preheating and post-heating — ANSYS APDL

  2. WAAM-Residual-Stress-Simulation WAAM-Residual-Stress-Simulation Public

    FEM simulation of residual stress in Wire-Arc Additive Manufacturing of low-alloy steel using ANSYS APDL

    1

  3. WAAM-Thermal-ML WAAM-Thermal-ML Public

    Python 1

  4. WAAM-Thermal-Forecasting WAAM-Thermal-Forecasting Public

    Physics-guided thermal forecasting for Wire Arc Additive Manufacturing (WAAM) using real thermocouple data, leakage-aware machine learning, thermal-memory models, and sensor-constrained inverse PIN…

    Python 2

  5. WAAM-ER70S6-Experimental-Characterization WAAM-ER70S6-Experimental-Characterization Public

    Experimental process–structure–property characterization of ER70S-6 low-alloy steel produced by robotic GMA-WAAM.

    Python