Pooshan Raul | Mechanical Engineer | PhD Aspirant

I am a mechanical engineer with an MSc from the University of Manchester and experience across the automotive, energy and process sectors. My work combines CAD modelling, finite element analysis (FEA), computational fluid dynamics (CFD) and practical validation to deliver reliable engineering solutions. I have a strong interest in simulation-driven design supported by experimental verification, and I am aiming to pursue an industry-focused PhD in experimental–computational correlation. My goal is to apply both computational and experimental methods to solve complex, real-world engineering challenges.

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2+ Years Experience
10+ Projects Completed

About

I hold an MSc in Mechanical Engineering Design from the University of Manchester and have applied my skills across projects in the automotive, energy and process sectors. My work includes heat transfer modelling, pressure vessel design by analysis according to ASME Section VIII Division 2, and structural dynamics for automotive systems. These experiences have developed my ability to link design and simulation with manufacturability and practical validation. I am now seeking a PhD opportunity in experimental–computational correlation, where I can integrate numerical modelling with physical testing to deliver robust and industry-relevant engineering outcomes.

Technical Skills

Computer-Aided Design (CAD)

  • SolidWorks
  • AutoCAD
  • Autodesk Inventor

Finite Element Analysis (FEA)

  • ANSYS Mechanical
  • ABAQUS
  • Autodesk Inventor

Numerical Analyses & Simulations

  • Structural
  • Thermal
  • Modal
  • Explicit Dynamics

Computer-Aided Manufacturing (CAM)

  • VCarve Pro
  • MasterCAM
  • Fusion 360

Engineering Proficiencies

  • DFMEA & Risk Assessment
  • Design Validation
  • Engineering Calculations

Programming & Automation

  • MATLAB
  • GIT
  • Python (Beginner)

Office & Productivity Tools

  • Word
  • Excel
  • PowerPoint

Computational Fluid Dynamics (CFD)

  • ANSYS Fluent

Portfolio

Featured projects spanning CAD design, structural & thermal FEA, CFD modeling, and experimental validation highlighting simulation-backed workflows and real-world engineering application.

  • All Projects
  • Process & Wastewater
  • Motorsports
  • Design for Manufacturing (DFM)
  • Research & Development
Heat Pipe Simulation
Research & Development

Modelling of Novel Heat Pipe Design using ANSYS Fluent

Validation of a novel 3D printed lithium-molybdenum heat pipe design for Fusion relevant conditions.

Pressure Vessel FEA
Process & Wastewater

Thermo-Structural FEA of a Pressure Vessel using to ASME Code

FEA-based safety assessment under internal pressure, temperature and nozzle loads with stress linearization using ASME BPVC VIII Div. 2.

Go-Kart FEA
Motorsports

Go-Kart Chassis Design & FEA for Racing & Crash Scenarios

Full vehicle FEA with modal, impact & torsional simulations for validating integrity of a racing go-kart chassis.

Plant Assembly Overview
Process & Wastewater

3D Piping & Equipment Layout for a Solvent Recovery Plant

3D piping and equipment layout for a solvent recovery plant considering safety, maintenance and material utilization.

Campervan Design
Design for Manufacturing

Modular Campervan Furniture – Design & CNC Manufacturing

Design and manufacturing of modular campervan furniture kits for multiple VW, Ford and Mercedes models using CNC router.

Clarifier Assembly
Process & Wastewater

Clarifier Walkway Design for Wastewater Treatment Plant

3D Modelling and stress analysis of a clarifier bridge with its final manufacturing drawing.

Research & Engineering Competencies

These competencies reflect a research-driven approach to engineering; where simulation, design, and testing are tightly coupled for solving real-world problems.

Curiosity-Driven Problem Solving

Focused on understanding physical behavior through structured analysis before modeling or testing; translating open-ended challenges into solvable components.

Hands-On Experimentation

Comfortable with prototyping and iterative testing using standardized methods such as DOE, tolerance control, and setup repeatability to ensure usable data.

Simulation-Led Research Thinking

Emphasizes abstraction and boundary condition design guided by physical understanding, which involves treating simulation as an exploration tool rather than a final check.

Experimental–Computational Correlation

Applies a feedback loop where experimental results guide model refinement and simulations support test planning; aligning theory with practice.

Cross-Functional Collaboration

Experience coordinating between design, testing, and fabrication teams to ensure technical decisions align with manufacturing and research goals.

Structured Technical Documentation

Skilled in preparing simulation logs, boundary case details, and validation summaries for academic reporting, reproducibility, and team transfer.

Let's Connect!

Feel free to reach out to me via Email or LinkedIn.