Pharmaceutical Mixing simulation software
Engineer pharmaceutical mixing and bioreactor processes with AI-native CFD.
SimScale’s Engineering AI & Physics AI platform helps pharma and process engineers validate mixing uniformity, scale-up and lab reactor performance in hours, entirely in the browser.
Scale-up failures and inconsistent mixing are expensive in pharma. Physical trials take months. SimScale lets engineers run CFD on mixing tanks, bioreactors and lab reactor systems in hours, replacing costly scale-up trials and prototype iterations.
Pharmaceutical CFD that covers your full process design challenge
Multiphysics — all the physics your engineers need
Combine CFD with thermal, particle tracking, species transport, and structural analyses on the same geometry, one mesh, one results store — without exporting between tools.
AI-native pharma process optimization
SimScale's Engineering AI accelerates pharma CFD by suggesting solver settings, predicting homogenization time, and running parameter sweeps across mixer geometry and speed in parallel — so engineers explore more configurations in the same budget.
Cloud-native scale — more variants, faster
Run dozens of pharma simulations in parallel on cloud-native HPC, no install, no VPN, no waiting for a workstation. Fluence Analytics tested 25 design configurations in minutes — average run time 10 minutes per case.
Stirred tank & bioreactor mixing
Simulate impeller-driven mixing in stirred tank reactors and bioreactors. Predict velocity fields, homogenization time and passive tracer transport using k-ε turbulence and tracer methods. Useful for cell culture, fermentation and chemical reactor scale-up.
Scale-up from lab to production
Validate scale-up similarity from lab bench to pilot to production-scale tanks. Compare homogenization time, power input and Reynolds number across geometric ratios — replacing expensive physical scale-up trials with cloud-native CFD.
Water hammer & transient analysis
Simulate sudden valve closure and transient pressure waves to quantify water hammer risk. Optimize actuation speed and geometry to protect downstream equipment and ensure system stability.
60%
reduction in heat flux variation in a pharmaceutical lab reactor
“We saved 28 weeks of delivery/manufacturing time for prototypes, plus roughly 10,000 CHF for manufacturing costs.”
Martin Ritterath, — Head of Software, Engineering & Services, SYSTAG
18 min
per simulation run for pharmaceutical dissolution testing instrument design
“SimScale answered questions about the passive scalars directly in the chat and we felt confident in getting accurate results.”
Stefan Kunstmann, — Development Engineer, SOTAX
25
design configurations virtually tested in minutes
“By applying numerical simulations we managed to establish an efficient and cost-effective way to gather data used in design choices.”
Fluence Analytics engineering team, — ARGEN product line
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SimScale covers stirred tank and bioreactor mixing, pharmaceutical lab reactor design, and scale-up similarity studies between lab, pilot and production geometries. All from the browser, no install required.
Yes. Run rotating-reference-frame or moving-mesh CFD for impeller-driven mixing, predict velocity fields, homogenization time and passive tracer transport with k-ε turbulence. Useful for cell culture, fermentation and chemical reactor scale-up. Tracer-test simulations match experimental conductivity measurements.
SimScale has been used by pharma instrument companies including SYSTAG and SOTAX to optimize reactor and testing device designs through CFD and heat transfer simulation. SYSTAG reduced heat flux variation in their FlexyCUBE lab reactor by 60% and saved 28 weeks of prototype time. SOTAX used passive scalar simulation to verify flow uniformity in dissolution testing vessels.
Upload CAD directly from Onshape, SolidWorks, Autodesk Inventor, Creo, CATIA, NX and other formats. SimScale runs entirely in the browser — no install, no VPN — so audit trails, shared review of validation cases, and cross-functional collaboration with process engineers, pharmacists and QA happen in one project link.
Yes. Run multiple geometric scales in parallel on cloud-native HPC, compare homogenization time, power input per unit volume, Reynolds and Froude numbers across scales. This replaces or augments expensive physical scale-up trials, letting design teams validate similarity before committing capital to production equipment.
