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 use a two-phase multiphysics simulation with coupled fluid flow and mass transfer to analyze the efficacy of this active mixing process.
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.
Solvent bonding, although an effective way to join thermoplastics, can pose process challenges that reduce bond strength. Veryst uses FTIR microscopy to characterize the interface structure of solvent bonds, obtaining a “chemical image” of the solvent-bonded interface. The result is a full understanding of the bond and ways to improve its strength and reliability.
Veryst developed a coupled CFD mass transfer model to predict a microfluidic mixer configuration appropriate for mixing pure and salt water channels.
Oxygen transport is a key factor in the design of cell culture systems such as organs-on-a-chip, multiphysiological systems, and bioreactors. In this case study, we use multiphysics simulation to analyze oxygen transport and cellular uptake in a model microchannel bioreactor.
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.
Veryst developed a diffusion model accounting for the different layers of the human skin in order to predict the drug concentration profile of a transdermal drug delivery process.
Permeation enhancers are used to improve drug delivery through the skin by altering the structure and dynamics of the skin. Veryst developed a finite element model of drug diffusion from an adhesive patch that accounts for the effect of permeation enhancers.
Veryst offers state-of-the-art consulting in the design and analysis of gaseous and fluid systems and products. We employ advanced CFD analysis to solve problems involving fluid mixing, multiphase flow, phase change, non-Newtonian fluids, and microfluidic effects.
Veryst offers a comprehensive approach to solving problems in microfluidic device development.
Accurate simulation of many products now requires a multiphysics approach. Veryst Engineering specializes in multiphysics problems involving solids, fluids, heat transfer, mass transfer, acoustics, and electromagnetics. Our modeling and analysis expertise includes fluid-structure interaction, thermal-structure interaction, structural-acoustic vibrations, conjugate heat transfer, Joule heating, and microwave heating.
Veryst provides expertise in many aspects of simulation and analysis for use in product design, manufacturing processes, and failure analysis. This includes modeling and analysis involving polymer materials, multiphysics modeling, finite element analysis, computational fluid dynamics, and system
Veryst assists clients in addressing problems involving transport of species or chemical substances. Our experience includes transdermal drug delivery and permeability of polymer systems. We employ advanced computational methods which allow us to model the complex coupled interactions between solute concentrations and carrier material properties.