Acuflow brings Tridiagonal Software’s advanced process-modeling and simulation platforms to pharmaceutical, biopharma and process-industry teams. From stirred-tank mixing analysis and automated CFD to AI-powered process intelligence, digital twins and decision-support applications, Tridiagonal helps engineers and scientists improve process development, scale-up, technology transfer and optimization.
Two Platforms. Different Questions. One Process-Intelligence Ecosystem.
MixIT®Stirred Tank Mixing Software for process development, scale-up and troubleshooting.
MixIT is designed for stirred-tank process development, scale-up and troubleshooting. It combines process data, mixing science, empirical correlations and advanced 3D CFD models in one collaborative engineering platform.
Features
Intuitive engineering GUI
Shared reactor database
Empirical correlations
Complex impeller library
Fully automated CFD analysis
Vortex-shape prediction
Reports and visualization
Reactor / process tagging
Multiple turbulence models
Custom correlation capability
Custom baffles and internals
Fluid-rheology analysis
Lab-to-plant process-data integration
Enterprise knowledge sharing
Available through MixIT Enterprise and MixIT On Cloud pathways
MixIT Technical Capabilities
CapabilityTechnical Function
Reactor DatabaseStore geometry, operating conditions, plant measurements, experimental results and CFD data
Reactor AnalysisCompare multiple reactors and evaluate mixing performance
Automated CFDAutomated geometry creation, simulation, analysis and reporting
Flow AnalysisEvaluate velocity patterns and circulation behavior
Tracer AnalysisStudy mixing and residence-time behavior
Heat TransferAnalyze thermal performance in stirred vessels
Impeller AnalysisEvaluate multiple impeller geometries and configurations
Vortex PredictionPredict vortex shape and free-surface effects
Fluid RheologyModel Newtonian and non-Newtonian fluids
Scale-Up AnalysisCompare conditions across reactor scales
ReportingGenerate engineering reports and visualizations
SimSightAI-Powered Process Intelligence Platform for scale-up, monitoring and optimization.
SimSight blends physics-based simulation, historical process data and advanced analytics to accelerate process development, scale-up, monitoring and optimization. It provides an environment for equipment knowledge, process models, visualization and reusable decision-support applications.
Features
Physics-based process models
Historical process-data integration
Advanced analytics
Knowledge database
Asset / equipment library
Process-parameter analysis
Process-metric analysis
Scenario comparison
Flow and mixing visualization
Custom decision-support apps
Browser-enabled application environment
Python / Jupyter app deployment
Reusable process knowledge
Customizable enterprise workflows
Digital twin and hybrid-modeling workflows
SimSight Technical Capabilities
CapabilityTechnical Function
Knowledge DatabaseStore and retrieve fundamental equipment and process knowledge
Asset LibraryOrganize reusable knowledge about process equipment
AnalyzeEvaluate scale-up, process-transfer and operating scenarios
ExploreStudy relationships between process parameters and process metrics
CurateBuild reusable libraries of assets, SUBs, SUMs and process knowledge
DeployDevelop and deploy browser-enabled Python / Jupyter applications
VisualizeCompare flow and mixing behavior across process conditions
Hybrid ModelingCombine physics-driven and data-driven approaches
Historical Data AnalyticsIdentify patterns and trends from prior operating data
Decision SupportConvert models and knowledge into repeatable engineering workflows
SimSight Applications
ApplicationPurpose
Bioreactor Scale-UpUnderstand how the internal equipment environment changes across scales and support comparable process conditions.
Process Scale-UpSupport consistent process performance from lab through production.
Blend-Time PredictionPredict blend-time performance rapidly across operating conditions.
CrystallizationPredict particle-size distribution and support process-condition evaluation.
Mass-Transfer AnalysisEvaluate and optimize kLa and related mass-transfer behavior.
Reduced-Order ModelsGenerate faster predictions of complex flow fields for repeated engineering use.
Process TransferCompare equipment and process conditions to support technology transfer.
Equipment DigitalizationCapture vessel characteristics, engineering models and process knowledge digitally.
