HELICON CONSULTING
BIOPROCESS ENGINEERING / CFDSPECIALIST SERVICE — 01

CHO BIOREACTORS · STIRRED-TANK CFD ENGINEERING

Bioreactor CFD & Cell Culture Engineering.

Quantify mixing. Compare mechanical exposure. Inform scale-up.

CFD engineering for and related cultures. Examine impeller-driven circulation, oxygen concentration gradients, mixing time and the distribution of mechanical exposure—not just tank-average measurements. Cell-viability prediction is available only through a separate, data-calibrated development scope.

PRIMARY FOCUS / CHO CELL CULTURE
COMPUTATIONAL FLUID DYNAMICSORIGINAL PROJECT SIMULATION
Modeled dead-cell fraction · R&D simulationOriginal solver visualization · not a CHO validation case
FROM FLOW PHYSICS TO ENGINEERING DECISIONSSCROLL TO EXPLORE

01 / ENGINEERING CHALLENGES

Average conditions don't tell the whole story.

In CHO stirred-tank reactors, bulk readings can conceal local oxygen gradients, delayed mixing and different exposure histories near impellers and recirculation zones. CFD helps identify these spatial differences and compare practical equipment changes.

01

Mixing & concentration

Identify recirculation patterns, poorly mixed regions and concentration nonuniformity. Evaluate the transport of feeds or tracer substances.

02

Hydrodynamic exposure

Examine shear-rate distributions, local mechanical conditions and exposure accumulated along material histories.

03

Cell-response investigation

Explore biological-response models as a separate, data-supported research scope. Quantitative cell-viability claims require calibration and independent validation.

04

Impellers & scale-up

Compare configurations and operating conditions before committing to equipment changes or new production volumes.

02 / HOW WE CAN HELP

Start with a defensible CFD study.

For a CHO reactor design or troubleshooting project, the first deliverable is usually a comparison of flow and mixing conditions—not a promised percentage improvement in cell survival.

CORE SERVICE / PROJECT-READY01

Hydrodynamics, mixing & mechanical exposure

Defined-scope CFD studies using established OpenFOAM or STAR-CCM+ workflows. Compare mixing and recirculation, spatial oxygen or tracer distribution, shear exposure and operating scenarios where the required models are justified and verified.

Impeller & RPM comparisonsMixing / tracer transportLocal shear & circulationScale-up hydrodynamics
See original solver outputs
OPTIONAL R&D / CALIBRATION-DEPENDENT02

Cell-specific viability & response modeling

We can evaluate and adapt cell-population and biological-response models when suitable cell-culture measurements are available. A paid feasibility and calibration stage comes before any quantitative survival prediction or performance guarantee.

CHO kinetics feasibilityExperimental data reviewModel calibrationIndependent validation plan
What data are needed

What a first engagement can answer: Where does mixing lag? How do impeller alternatives change circulation? Which regions experience elevated shear? How do operating conditions compare? Predicting a numerical change in viable-cell density requires additional biological evidence.

03 / RESEARCH & MODEL DEVELOPMENT

Beyond velocity fields: research-stage cell-response modeling.

Our custom solver research extends flow calculations with transported cell populations and a specified biological response. This is an engineering R&D capability, not yet an independently validated predictor of CHO cell survival.

Authentic OpenFOAM project rendering of the modeled dead-cell ratio near stirred-tank impellers, with the original Dead cells ratio color legend
ORIGINAL PROJECT OUTPUT · DEAD-CELL RATIO
FROM HYDRODYNAMICS TO POPULATION TRANSPORT

Spatial distribution of modeled dead-cell fraction.

This is an original dead-cell-ratio field from our stirred-tank OpenFOAM research project. The red and blue regions follow the legend in the rendering and represent higher and lower values of the modeled dead-cell fraction around the impellers.

The field is calculated from transported cell-population variables and a prototype biological-response formulation coupled to CFD. It is not a velocity plot, a recording of individual cells, or an experimental measurement. The animated version appears in the hero above.

Model status: This demonstrates coupled CFD and population-transport research, not a validated CHO survival prediction. Quantitative mortality estimates would require verified population balances, cell-line-specific calibration and independent experimental validation. Reactor hydrodynamics and mixing studies can be performed without that biological model.

04 / ORIGINAL CFD RESULTS

What reactor averages cannot show.

These are outputs from our OpenFOAM bioprocess research: a spatial dissolved-oxygen field and two parcel-exposure distributions. They demonstrate the diagnostics behind the engineering service; they are not measurements of a commercial CHO cultivation run.

3D SPATIAL FIELDORIGINAL CFD OUTPUT
Original OpenFOAM stirred-tank oxygen concentration field, with low and high oxygen regions around reactor internals and the original cO2 concentration legend
Dissolved oxygen concentrationColor indicates lower and higher local oxygen concentration, showing nonuniformity that a single bulk reading would miss. The original image labels oxygen concentration as cO2—this means dissolved O₂, not carbon dioxide (CO₂).

WHY IT MATTERS TO BIOPROCESS ENGINEERS

Evaluate conditions where the process actually occurs.

Spatial concentration: Locate gradients and recirculation patterns that may be obscured by bulk probe measurements.

Exposure distributions: Distinguish typical conditions from the small population of material parcels that accumulates unusually high exposure.

Operating comparisons: Evaluate the effect of agitation, gas feed and geometry on the simulated environment, with the required models and measurements defined for each project.

See the project data we need

LAGRANGIAN DIAGNOSTICS / ORIGINAL SOLVER OUTPUT

See the distribution—not only the maximum.

These original histograms summarize histories accumulated by virtual cell-carrying material parcels. They are computed parcel surrogates, not recordings of individual cells or a calibrated probability of cell death.

Original solver histogram of dimensionless accumulated shear-exposure diagnostic shear_D across tracked material parcels
Accumulated shear exposureThe long distribution tail identifies parcels encountering considerably greater accumulated mechanical exposure than the typical parcel.
Original solver histogram of maximum instantaneous shear rate shear_max in inverse seconds for tracked material parcels
Peak shear rateMost parcels encounter lower maxima; a smaller subset experiences higher instantaneous shear rates along its simulated path.
Evidence and limits. The exposure metrics have analytical and runtime verification evidence. An oxygen-transient fitting workflow was assessed against six external experimental datasets. The complete coupled mammalian-cell CFD and viability model still needs reactor-specific experimental calibration and validation. Original figures are reproduced from Helicon's Bioprocess CFD Reference Project.

05 / INTERACTIVE REPORT EXPLORER

Look beyond a single average.

Explore the types of distributions a reactor study can report: mixing time, spatial concentration uniformity, circulation, shear exposure and dosing. For original recorded project outputs, see the CFD reference figures above. The interactive example below uses generated chart data, not measurements or exported CFD fields.

DISTRIBUTION ANALYSISINTERACTIVE HISTOGRAM EXPLORER

Select a bar to inspect the distribution.

Local mixing time

Time for a sampled region to remain within ±5% of its final tracer concentration.

Local mixing time [s]

Concentration uniformity

Normalized tracer concentration across equal-volume reactor samples at a selected time.

Normalized concentration [–]

Circulation time

Time between consecutive completed circulation loops for tracked fluid parcels.

Circulation time [s]

Chart data are generated solely to demonstrate the interactive report. They are not exported CFD results. Mixing, dosing and mechanical-exposure values would be calculated for each commissioned reactor study.

06 / INDUSTRIAL APPLICATIONS

Starting with CHO bioreactor engineering.

CHO suspension cultures for monoclonal antibodies and recombinant proteins are our primary target. We also support related hydrodynamic engineering questions for HEK293 and Sf9 stirred-tank systems without claiming validated cell-line-specific viability models.

01 / PRIMARY APPLICATION · CHO

CHO bioreactor CFD

Monoclonal antibodies & therapeutic proteins

Hydrodynamic engineering for CHO stirred-tank cultivation: compare impellers, agitation settings, mixing times and spatial shear exposure. Support equipment selection, process troubleshooting and lab-to-pilot or production-scale hydrodynamic comparisons.

  • Impeller / RPM comparison
  • Tracer mixing and exposure analysis
  • Scale-up hydrodynamic assessment
02 / SUSPENSION CULTURES

HEK293 cultures

Gene therapy & viral vectors

Investigate mixing, feed distribution and hydrodynamic conditions in suspension-adapted HEK293 reactors used during viral-vector process development.

  • Hydrodynamic characterization
  • Concentration distribution
  • Operating-condition comparison
03 / INSECT CELL CULTURES

Sf9 insect cells

Vaccines & recombinant proteins

Evaluate stirring strategies, mixing efficiency and exposure conditions in baculovirus-based suspension cultivation, independently of full infection-kinetics prediction.

  • Impeller assessment
  • Mixing under agitation
  • Mechanical environment
OTHER PROCESS TYPES

Different cultures. Different model requirements.

Hydrodynamic investigations can also support Vero, MSC, iPSC, CAR-T and cultivated-meat reactors where the engineering question is clear. Microcarriers, aggregates and immune-cell function introduce additional physics or biology; their behavior cannot be predicted with our existing CHO-oriented service scope.

07 / ENGINEERING DECISIONS

Engineering questions worth answering before making changes.

Compare defined alternatives on the same performance basis: geometry, working volume, mixing criterion and operating conditions. Hydrodynamic improvements do not by themselves demonstrate higher cell viability or product yield.

A /

Which impeller configuration?

Compare geometry, placement and multi-impeller arrangements to understand how they change circulation, mixing and local stress.

B /

How much agitation?

Assess mixing performance alongside shear exposure and power requirements over a defined operating range.

C /

How does the reactor scale?

Investigate changes in local hydrodynamics from laboratory to pilot or production equipment.

D /

Where should feed enter?

Study injection placement, transport and concentration nonuniformity under realistic operating conditions.

08 / DATA & VALIDATION

What do we need from your process?

The required data depend on the decision you need to make. A design-screening CFD study can start without a complete biological dataset; a quantitative CHO viability model cannot.

FOR A HYDRODYNAMIC CFD STUDY

Reactor and operating conditions

Ideally, provide reactor CAD or manufacturer drawings covering the vessel, impellers, baffles and sparger (where applicable), plus fill level, RPM, broth properties, gas/feed rates and the conditions to compare.

If available, dissolved-oxygen probe histories, mixing-time measurements, gas holdup, power draw and operating logs make benchmarking and model selection more defensible. We establish input requirements and acceptance criteria before work begins.

FOR OPTIONAL CHO VIABILITY MODELING

Culture measurements and calibration basis

Cell-line and culture details, viable/total cell counts over time, viability measurements and cultivation conditions are needed to select a suitable biological model.

Controlled comparisons between operating conditions and data reserved for independent validation are especially valuable. Public datasets may support an initial feasibility study but do not replace reactor-specific evidence.

A PRACTICAL ENGAGEMENT PATH
01Define the engineering questionGeometry · operations · success criteria
02Run & review CFDMixing · stress · design comparison
03Optional biology phaseData review · calibration · validation

09 / SCOPE & DELIVERABLES

Clear results. Defensible assumptions.

Results are tied to the agreed design question and documented assumptions. Standard studies report hydrodynamic and mixing performance; cell-survival predictions are excluded unless separately scoped, calibrated and validated.

Discuss the inputs for your case
01

Mixing, circulation & oxygen distribution
Flow structures, spatial concentration gradients and mixing-time or tracer results when required by the scope.

02

Mechanical exposure distributions
Peak and accumulated exposure statistics, including distribution tails and selected percentile summaries, where tracking is verified for the case.

03

Operating and scale-up comparisons
Like-for-like assessments of impeller speed, sparging, feed location, geometry, or scale with uncertainties and modeling limitations identified.

04

Engineering report
Methods, assumptions, limitations, relevant results and actionable recommendations.

START WITH THE ENGINEERING QUESTION

Working on a bioreactor design or scale-up challenge?

Tell us your CHO reactor model, available CAD or drawings, operating conditions and the engineering decision at stake. We can assess geometry reconstruction if needed, then establish whether the first step is hydrodynamic CFD or biological-model feasibility.

Contact Helicon