A simple way of mixing small volumes (microliters or milliliters) of reagents is by repeatedly dispensing and withdrawing solution from a microwell or tube. In this case study, we used a two-phase multiphysics simulation with coupled fluid flow and mass transfer to analyze the efficacy of this active mixing process.
Bubbles trapped in microchannels can distort the fluid flow and impact the device performance. Veryst developed a multiphase CFD model to predict the effect of geometry and surface properties on the likelihood of bubble entrapment.
Efficient ventilation can reduce a building’s energy consumption and minimize airborne pathogen transmission in hospital rooms. Veryst used computational fluid dynamics (CFD) to simulate ventilation in a hospital room as well as the dispersion of particles and droplets.
Removing reagents or sample from a previous processing step via a wash cycle is a common challenge in microfluidic assays used in diagnostic, genomic, biomedical, pharmaceutical and other applications. This case study shows how finite element simulations may be used to predict and optimize wash cycle performance.
Controlling spatial variations in chemical concentration is important for designing and operating many microfluidic devices across a wide range of industries and applications including diagnostics, genomics, and pharmaceutics. In this case study, we show how simulations may be used to quantify and control concentration gradients in microfluidic devices.
The main environmental factor affecting a premature neonate is thermo-neutrality, as the baby is incapable of regulating and maintaining his/her body temperature at a constant level. Veryst developed a computational model of heat transfer inside an infant incubator to optimize its design.
To compare the performance of two gas humidification devices, Veryst Engineering performed gas flow testing, device examination, and CFD analysis.
Laminar static mixers are often employed in industrial environments when the mixing of two or more fluids is required. However, their performance is impossible to analyze with a pure CFD approach. Veryst, in collaboration with Nordson EFD, developed a unique computational modeling tool to evaluate and optimize the design of such mixers.
Both the efficiency and life of an LED bulb drop when operated at high temperature. Given the wide range of possible shapes and sizes of heat sinks, Veryst Engineering developed a rapid and effective tool to compare design alternatives and estimate LED temperatures.
Veryst developed a coupled CFD mass transfer model to predict a microfluidic mixer configuration appropriate for mixing pure and salt water channels.
Flash nanoprecipitation (FNP) is a novel method to produce nanoparticles for a variety of applications, including mRNA vaccine manufacturing. This case study demonstrates the high-fidelity prediction of micromixing rates, which are critical to controlling the size distribution of nanoparticles created using FNP.
Oxygen transport is a key factor in the design of cell culture systems such as organs-on-a-chip, microphysiological systems, and bioreactors. In this case study, we use multiphysics simulation to analyze oxygen transport and cellular uptake in a model microchannel bioreactor.
The performance of peristaltic pumps is influenced by tube dimensions, tube material, rotary mechanism, and fluid properties. Veryst Engineering developed a strongly coupled fluid-structure interaction model that captures the deformation of the tube, rollers, and fluid, including contact.
Understanding the movement and behavior of droplets a person emits by breathing is essential for infectious disease control. Veryst modeled the trajectory of particles from an individual running at a moderate pace with another runner in their slipstream, while both are exhaling without wearing a mask.
Scaling chemical reactions from the lab to pilot or production requires a detailed understanding of the physical system, which frequently involves heat transfer, mass transfer, reaction kinetics, and fluid flow. This case study illustrates how multiphysics simulations can support design decisions involved in scaling up chemical reactors.