Computational Fluid Dynamics Modeling, Finite Element Analysis Modeling, Process Modeling and Atmospheric Dispersion Modeling
ARE Labs provides a variety of modeling capabilities related to the medical, chemical and other industrial fields. Our capabilities include Computational Fluid Dynamics Modeling, Finite Element Analysis, process modeling and atmospheric dispersion modeling.
We specialize in Computation Fluid Dynamics odeling (CFD) of dynamic aerosol and non-aerosol related systems. CFD is commonly used is the aeronautical and aerospace industries but it is a powerful tool to CFD modeling is used to predict fluid flows in any physical environment. We have used CFD for predicting aerosol drug delivery, effects of design changes for nebulizers and designing unique aerosol containment systems. We have written custom physics codes to enhance pre-packages CFD software to include, particle coagulation, dynamic flow (ie. breathing models), electrostatics, radiation, condensation and surface reactions. Our team of engineers can help you design and derive key critical data for all fluid flow processes.
Finite Element Analysis can be used to predict structural integrity of individual component and complete systems pre-production to help determine proper material, wall thicknesses, harmonics and other critical mechanical features to ensure that your product has the durability required to meet its designed operating conditions.
Process modeling is used for developing new and unique processes for scale-up of laboratory methods to production scales. Our chemical engineers can help design new processes for pharmaceutical drug production, separation techniques, and other production processes.
Atmospheric dispersion modeling is used to predict exposure and deposition of particle downwind of release sources. Our team of experts has experience in modeling atmospheric dispersions for Chem/Bio threat-assessment and industrial pollutants.
ARE Labs Inc. can help with all your Modeling requirements.
The benefits of computer modeling applied to the design and testing process include:
- Insight into system design
- Foresight by applying ‘what ifs’ to existing systems
- Efficiency and performance improvements
The science of predicting fluid flow, heat and mass transfer, chemical reactions, and related phenomena by solving numerically the set of governing mathematical equations is a critical step to the design and testing process.
CFD and FEA Modeling
→ Steady State and Non-Steady State Models
→ Particle and Multiphase Flow
→ Reactions and Mixing Kinetics
→ Moving and deforming objects
→ Heat transfer
→ Custom Physics models
→ Process Design
→ Process scale-up
→ Economic Analysis
→ Energy Use Optimization
→ Unique and Novel Processes
→ Atmospheric Dispersion Dynamics
→ Human Exposure and Dose Calcs
→ Chem Bio Threat scenarios
→ Incorporate real GIS Terrain Data
→ High Altitude and Boundary Layer Modeling
→ Aerosol Particulate Modeling
Rollins7 Aerosol Mask
Predictive CFD modeling can be used to derive a wide-range of information that can serve as a guideline for device improvements and optimization or predictive performance data. The Rollins7 Aerosol mask is a unique mask intended for delivery of aerosol during oxygen therapy. The mask features a unique property in that it has an open mouth design so that patients can imbibe food and drink during treament while also reducing carbon dioxide re-breathing. This unique feature has to be designed properly in order to maintain patient delivery of oxygen and medicated aerosols while still provide ease of use and comfort
These unique features have to be designed properly in order to maintain patient delivery of oxygen, medicated aerosols and reducing carbon dioxide re-breathing while still provide ease of use and comfort. Using predictive modeling the mask can be optimized to show the effects of the opening (size and shape), oxygen delivery location and overall mask shape to all critical parameters and help aid in the design process.
After final prototyping, the mask is tested to compare with the modeling results. In this case modeling results, prediction is within 5% of the tested results for aerosol drug delivery