This course—now taking place over three days—will cover most of the structural analysis capabilities in COMSOL Multiphysics including large deformations, linear and nonlinear material models, contact mechanics, solver settings and convergence issues, multiphysics coupling, and best practices. Th
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—now taking place over three days—will review the physics areas relevant to medical devices and cover the efficient use of COMSOL Multiphysics to solve problems in the medical device industry. It covers modeling challenges specific to medical devices, such as biological material model
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.
From smartphones and cameras to wireless headphones and battery packs, portable electronics proliferate. Consumers expect excellent resilience to device drops, increasing pressure on manufacturers to test thoroughly and optimize their designs. Veryst utilized its unique expertise in accurately modeling complex materials, conducting high strain rate testing, and simulating impact events to simulate the drop impact of an external battery pack.
Bioabsorbable materials, such as polylactic acid (PLA), are finding increasing applications in medical devices. These polymers exhibit a nonlinear anisotropic viscoplastic response when deformed, which requires a sophisticated material model for accurate finite element predictions.
Impact modeling of polymers is important given their use in consumer products as both structures and impact protection. Accurate FE models of impact events require high rate testing, advanced modeling, and a thorough understanding of polymer failure.
A train derails with an ensuing fire and evacuation of a neighborhood. What was the root cause of the derailment?
How fast does a Calrod heat up and how high are the stresses during heating? To answer these questions Veryst Engineering developed a coupled electric-thermal-structural multiphysics model of the Calrod, accounting for conduction, convection, and radiation.
Biodegradable polymers are becoming increasingly attractive for consumer product applications such as electronic devices and disposable packaging. Modeling these materials during impact is challenging due to the complexity of the physical event and the scarcity of appropriate material models for biodegradable polymers.
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.
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.