Nicolas Rojas
Mechanical Engineer | CFD and Thermal
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About
A mechanical engineer with a master's in mechanical engineering currently completing an MSc in CFD at Cranfield University. Technically proficient in a range of aerodynamic, thermodynamics and heat transfer principles with CAD knowledge and a special interest in fluid mechanics. Proven expertise in CFD optimisation using Star-CCM+, Fluent, and TAItherm, reducing experimental-simulation discrepancies from 8% to less than 3%.
Skilled in steady-state and transient modelling, thermodynamics, fluid properties, uncertainty assessment, and automation. Strong record of delivering decision-ready outcomes for clients in energy, process facilities, and automotive sectors. As a result-driven professional thrives in dynamic and high-pressure environments, bringing strong communication and management skills to every project.
Experience
Thermal Management Engineer, at AGP, working for the R&D group of product configuration management, in charge of the thermal simulations and experiments to obtain the cabin comfort and thermal performance of the current technologies to present them to potential customers.
Project Engineer, at Setri, a sustainable consultancy company, being the technical advisor in the HVAC system for projects trying to obtain a sustainable certification such a LEED or EDGE, performed energy modelling and CFD simulations, reviewing drawing and specifications troughtout all the phases of the project, and doing management for some of those projects.
Education
MSc in Computational Fluid Dynamics, Cranfield University, Cranfield, UKSeptember 2024 - September 2025
- Modules: Introduction to Fluid Mechanics and Heat Transfer, Grid Generation, Turbulence Modelling, Numerical Modelling for Compressible and Incompressible Flows, Data Analysis and Uncertainty.
- Thesis project: Worked with McLaren Automotive, to develop an automated workflow in STAR-CCM+ using Java, focused on wheel modelling to verify the aerodynamic performance of and SUV type vehicle.
Supervisor: Ph.D.
Prof: Panagiotis Tsoutsanis.
- Group project: Modernisation, verification, validation and deployment across different HPC systems, of a specialised software used to model cerebral blood flow for stroke treatment prediction and recovery.
- GPA: 4.45/5 (1st Class).
- Modules: CFD, Aerodynamics and Aeroelasticity for Wind Turbines, Applied Mathematics, Advanced Heat Transfer, Advanced Thermodynamics, Advanced Fluid Mechanics, Hydraulic Machines and Experimentation Techniques.
- Thesis project: "Evaluation of CFD Models in the Design and Analysis of Aerodynamic Packages for Open Wheel Race Cars".
Supervisor: Ph.D.
Prof Andres Gonzalez
Mancera.
