ABALBERTO
BRAMBILA

CFD · THERMAL SYSTEMS · SIMULATION AUTOMATION

Alberto Brambila, PhD

I develop CFD models and tools that help engineering teams evaluate designs and spend less time on repetitive simulation work.

My experience spans 30 professional projects in multiphase flow, heat transfer, pumps, valves and hydrogen systems, alongside doctoral research in coupled fluid mechanics.

I combine Python, PyFluent and 1D–3D simulation with AI-assisted development and MCP-supported workflows. Physical assumptions, APIs and results remain subject to engineering checks.

Fluent · OpenFOAM · Python / PyFluent · Amesim · Linux / HPC

Based in Mexico · Open to international relocation

Public industrial examples use simplified or alternative geometries to illustrate methods used in my professional work. They do not reproduce customer components or disclose project-specific results. Research and consulting cases are identified separately.

01 / SELECTED EXPERIENCE

Engineering projects.

Selected studies from independent work, research and consulting.
Jump to industrial experience ↓

MULTIPHASE FLOW / AIR SEPARATION

Air separation in a liquid circuit

Compare flow paths, bubble transport and pressure loss to assess air-separation concepts.

Transient VOF and comparative post-processing connect liquid-circuit design to engineering decisions.

VOF · Buoyancy · PyFluent automation

Explore the engineering story
TURBOMACHINERY / AUTOMATION

Centrifugal pump performance & pulsation

Automated steady performance sweeps and transient pressure analysis at the volute tongue.

From repeatable operating-point sweeps to hydraulic curves and pressure spectra.

PyFluent · Rotating flows · Spectral analysis

Explore the engineering story
MULTIPHYSICS CFD / DOCTORAL RESEARCH

FSI, rheology & particle transport

Resolve pulsatile flow and test how viscosity, turbulence assumptions and wall compliance affect the quantities being interpreted.

Coupled physics and Lagrangian transport, supported by analytical and numerical validation.

FSI · Non-Newtonian flow · Transient modeling

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Generic throttle flow: Mach number and normalized static pressure
COMPRESSIBLE FLOW / GENERIC EXAMPLE

Throttle-body flow characterization

Build a virtual characterization method when larger valves exceed the flow bench’s capacity.

Compressible-flow analysis and repeatable setup for naturally aspirated and turbocharged applications.

Fluent · PyFluent · EnSight · Virtual testing

Read the case study ↗
Hydrogen distribution through three exhaust towers, comparing two inlet compositions
HYDROGEN / SPECIES MIXING

Hydrogen dilution in an exhaust system

Balance hydrogen dilution, exhaust resistance and extraction flow, illustrated through a three-tower model.

Species transport, interpretation of iteration histories and reusable mesh/setup automation.

Fluent · PyFluent · Python · Fuel-cell systems

Read the case study ↗
Convection cells on both sides of the porous preform in the tubular reactor
HEAT TRANSFER / MASTER’S THESIS

A reactor explained through thermal physics

Use dimensionless analysis to connect buoyancy, porous flow and precursor placement with the material grown in a real CVD reactor.

Re / Gr / Ri / Nu → a controlled study → a physically tested process decision.

Dimensionless analysis · Porous media · Validation

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Three-dimensional streamlines entering and circulating through a transparent house
BUILDING CFD / CONSULTING

Airflow paths & solar exposure

Follow wind through a residential layout, explain room-level recirculation and compare how building form changes solar exposure.

Translate geometry changes into flow mechanisms and design trade-offs.

External/internal flow · Solar load · Design comparison

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AeroSUV research geometry prepared for an independent vehicle airflow study
VEHICLE CFD / IN DEVELOPMENT

Vehicle Aerodynamics & Cooling Airflow

Connect the flow around a vehicle with the air reaching its cooling system. An independent AeroSUV study builds on professional external and underhood CFD experience.

Geometry preparation is underway; numerical results will follow.

External flow · Cooling-air routing · Geometry preparation

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APPLIED ENGINEERING

Industrial experience.

Professional projects in thermal systems, multiphase flow and simulation automation. Public demonstrators use generic or simplified geometries.

02 / ENGINEERING APPROACH

Engineering approach.

Each study connects a design question with suitable models, checked results and engineering recommendations.

01

Define the study

Define the operating conditions, required outputs and design question.

02

Set up the model

Select the mesh, boundary conditions and physical models for the flow and thermal behaviour.

03

Check the results

Check convergence, conservation and sensitivity. Compare with measurements or published benchmarks when available.

04

Report the findings

Explain the flow behaviour, compare designs and report the model’s limitations.

03 / CONTACT

Interested in
my work?