This course is intended for finite element (FE) engineers that simulate polymers and are interested in advancing their modeling skills to the most advanced material models available for polymers. We will review the foundations of continuum mechanics for material modeling and dive into advanced material model calibrations, including inverse calibrations, failure modeling, and anisotropic material modeling.
This course is intended for finite element (FE) engineers that simulate polymers and are interested in advancing their modeling skills beyond hyperelastic material models. The class covers the foundations of continuum mechanics for material modeling, including hyperelasticity, metal plasticity, linear viscoelasticity, and advanced viscoplastic material models. The class also covers test methods and discuss how to design test plans for material modeling.
This new, web-based class will introduce users to Python scripting with Abaqus, a powerful tool enabling Abaqus users to parameterize models, automate workflows, and even enable functionality that is otherwise inaccessible due to severe repeatability. In this class we
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.
Fast mixing of reagents in microfluidic channels and devices is important for DNA sequencing, mRNA vaccine production in small-batch pharmaceutical processes, and point-of-care diagnostics. In this case study, Veryst used computational fluid dynamics simulations to evaluate the mixing performance of three commonly used microfluidic mixers.
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.
Manufacturing variations are of critical importance in MEMS design. In this MEMS gyroscope case study, Veryst created an approach to look at the effect of a range of manufacturing variations on MEMS devices using the same mesh. We also use semi-analytic equations to enable scalable modeling of the gyroscope electrostatic actuation and pick-off (which senses the motion produced by rotation).
Red bloods cells may be damaged in medical devices due to high shear stresses induced by their flow through the device. Veryst simulated turbulent flow of a converging-diverging nozzle specified in an FDA benchmark study, incorporating different hemolysis models to determine which areas of the device may damage red blood cells.
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.
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 call for structures that can selectively block acoustic waves of certain frequencies is growing, but their design is often inhibited by the lack of appropriate simulation tools in commercial FEA packages. Veryst developed a COMSOL Multiphysics model for unit cell band gap simulations, enabling the design and optimization of phononic band gap structures with target band gap width and locations.
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.