Case Studies

Pop-up rubber jumpers are fun toys that unexpectedly jump and pop when placed on a flat surface after they are inverted. The poppers are hemispherical rubber domes which can be easily inverted inside-out, a process that stores elastic energy in the rubber material. This case study showcases how simulation can effectively be used to unravel complex nonlinear phenomena such as the inversion and jump of a popper toy.

When a thin structure is immersed in a fluid, its natural frequencies, mode shapes, and damping characteristics may be significantly affected by the fluid. Predicting the dynamic behavior in this case requires a structural-acoustic analysis.

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.

Controlling the size of lipid nanoparticles (LNPs) in small-batch pharmaceutical processes is critical for delivery efficiency in mRNA vaccines, cancer therapies, and point-of-care diagnostics. In this case study, Veryst simulated solvent mixing and LNP self-assembly kinetics in a microfluidic mixer to predict the size distribution of LNPs across a range of process flow conditions.

Hot forging simulations depend critically on the correct selection of metal material models. Veryst illustrates this dependence through a turbine disk forging simulation using both rate-dependent and rate-independent material models.

Veryst developed a coupled CFD mass transfer model to predict a microfluidic mixer configuration appropriate for mixing pure and salt water channels.