ABALBERTO
BRAMBILA

MULTIPHASE FLOW / GENERIC DEMONSTRATOR

Air separation
in a liquid circuit.

How does the flow path affect air separation and pressure loss? This generic demonstration illustrates the VOF modeling and design-comparison methods I used in professional degassing work.

Late-stage bubble rise and interface interaction. Original 27 s clip at 15 fps; approximately 13–15 s of simulated evolution, inferred from uniform frame spacing. Geometry is generic/simplified and represents no real customer component.

Alberto Brambila, PhD
Multiphase modeling · Net-flux analysis
CAD-to-mesh and solver-setup automation

PROFESSIONAL EXPERIENCE / AIR SEPARATION

Evaluate air separation and pressure loss together.

The problem

Air carried by the liquid needs a path to separate. Changes that improve separation also need to be assessed for their effect on flow resistance.

My contribution

I led VOF simulations and worked with mechanical designers to compare geometry variants, track air transport and assess pressure loss.

How the analysis helped

The comparisons explained why some flow paths separated air more effectively and guided the selection of a design for physical testing.

Both the professional study and this generic demonstration use VOF. The geometry and results shown here belong only to the demonstration; its 78.2% routing value is not an industrial performance result.

01 / THE DESIGN LEVER

Give buoyancy time to separate the air.

A bubble can follow the liquid back into the circuit or rise into the reservoir. The useful design change alters that competition without adding excessive flow resistance.

Residence time, drag and bubble size

Local liquid velocity competes with bubble rise. Slowing or redirecting the flow can give buoyancy more time to act; bubble size and the surrounding flow affect the resulting trajectory.

The design question was therefore not simply “add a baffle,” but where to change the flow and what pressure penalty that introduced.

What the animation explains

The VOF demonstration resolves air–liquid interfaces moving through the junction and interacting with the upper surface. Gravity, surface tension and turbulent liquid flow shape that motion.

The next figures turn the visible flow path into a defined transport measurement, then show how the same comparison format can support design screening.

02 / CONNECT MOTION WITH A MEASUREMENT

Transient air transport

The demo reaches 78.2% cumulative net air routing to the reservoir plane at 15 s. This is a sensor-defined CFD transport ratio for the displayed demonstration, not measured external removal efficiency.

Compare the response, then the endpoint

Design comparison benefits from two views: a history that shows transport delay and accumulation, and a common endpoint that makes the chosen metric easy to compare.

Read the comparison correctly

This is the type of comparative analysis used in Alberto’s professional degassing work. Here, the blue series is the simplified geometry’s CFD result; the other 15 variants are illustrative examples, not the original industrial results.

Compare cumulative net air routing over time; blue demo series is CFD, all other variants are illustrative
Blue: CFD for the simplified geometry. Other curves: synthetic illustrations of response delays and evolution, not industrial or simulated variant results.
Compare the net air-routing metric at 15 seconds; blue demo series is CFD, all other variants are illustrative
Blue: the demo’s 78.2% net-routing ratio at 15 s. Other bars are illustrative. A common endpoint organizes comparisons; these bars do not prove a real design ranking.

Integrating the air mass flow

The calculation integrates the signed air mass flow at the reservoir plane and divides by integrated inlet air mass over the same 0–15 s window. The reservoir signal is reversed to match the chosen positive transport direction.

η(T) = 100 × M_air,reservoir(T) / M_air,inlet(T)

What the metric measures

The reservoir sensor is an internal plane. The saved boundary assignments restrict air exit, so this ratio describes net internal routing rather than proving permanent capture or zero downstream carryover.

The supplied history independently gives 4.8661 × 10−5 kg of net injected air and 3.8064 × 10−5 kg routed across the reservoir plane.

Engineering decision: use the transient history to understand transport delays, then assess pressure loss, carryover, conservation and numerical sensitivity before choosing a design. The demo does not establish a validated optimum.

03 / MAKE THE WORKFLOW REUSABLE

Meshing and setup automation

The automation work addresses a practical CFD failure mode: a regenerated mesh can acquire boundary types and IDs that differ from those used to define the solver model.

01

Discovery → mesh

Locate the generic CAD by extension; apply configurable surface sizing, three prism layers and poly-hexcore volume meshing.

02

Reference → remeshed case

Read the local reference case, replace the mesh by zone name and retain boundary types, expressions, reports and surfaces.

03

History → defined metric

Integrate oriented phase fluxes over the same time interval; connect the calculated quantity to the physical question.

Separate configurable meshing and setup drivers make the workflow reusable. The implementation stays private; the diagram above explains the modeling and verification sequence.

WHAT THIS EXPERIENCE BRINGS TO YOUR TEAM

Transferable skills

The same skills support cooling loops, filling operations, phase separators and other internal-flow systems. The model assumptions and validation plan must follow the new application.

Multiphase modeling

Translate air ingestion, gravity and interfacial physics into a tractable transient model.

Transfer: liquid-management and gas–liquid transport problems.

See the physical choices ↑

Quantitative interpretation

Compare air routing over the same operating window, then weigh separation against pressure loss before selecting a prototype.

Transfer: consistent comparison, conservation checks and evidence-based decisions.

See the calculation ↑

Python / PyFluent automation

Turn repeated mesh and setup work into configurable Python drivers, while checking zone assignments and report definitions.

Transfer: repeatable virtual prototypes and fewer manual setup mistakes.

See the workflow ↑
Evidence, professional context and reproducibility

This generic/simplified geometry is a public demonstration. Broader professional experience includes iterative degassing design analysis and collaboration with mechanical design and test teams; those industrial outcomes are separate from the results shown here.

This demonstration uses transient VOF. Validation from the professional project does not validate this separate model. No new CFD solve, experimental comparison or mesh/time sensitivity campaign was performed for publication.

Animation timing assumes uniformly spaced original frames. The assigned liquid uses water-like properties, despite a separate unused coolant material in the reference. Original private metadata, cases, meshes and Fluent outputs are excluded.

← All selected workNext: pump performance & pulsation →

Implementation files and detailed configurations are maintained privately. This page presents the engineering approach and selected evidence.