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.&nbs
Gain practical skills in simulating electromagnetic fields with our comprehensive 2-day course. Learn to model resistive, capacitive, and inductive devices and systems involving magnets, forces, and motion. This course targets engineers and researchers looking to enhance their expertise in electromagnetic modeling to inform device design.
Gain practical skills in simulating electromagnetic fields with our comprehensive 2-day course. Learn to model resistive, capacitive, and inductive devices and systems involving magnets, forces, and motion. This course targets engineers and researchers looking to enhance their expertise in electromagnetic modeling to inform device design.
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
This webinar will introduce applications of computational fluid dynamics (CFD) for modeling fluid flows containing particulate media.
An inductive eddy current sensor is a non-contact device that generates electromagnetic fields to detect changes in the properties of conductive materials, such as defects, thickness, or conductivity. This webinar will introduce the fundamentals of inductive sensors, present a detailed workflow for designing them for nondestructive testing, and much more.
In this webinar, we will review common modes of electromagnetic heating, their underlying physics, and key methods for developing accurate Multiphysics models. We will present three case studies of Multiphysics models that couple electromagnetics, heat transfer, and other physics, such as fluid flow and chemical reactions.
Magnetic actuators use electromagnetic fields to generate motion or force, playing a crucial role in various engineering applications. This webinar explores the design and simulation of magnetic actuators, focusing on fundamental principles, material selection, and performance optimization. It covers modeling techniques and computational analysis to evaluate actuator behavior, efficiency, and force generation, providing insights into developing high-performance solutions.
Axial permanent magnet couplings are electromagnetic devices that transmit torque from a primary driver to a load without mechanical contact. Veryst used a finite element analysis (FEA) model to analyze the complex coupling nature of these magnetic devices to maximize the torque transmission
Multiphysics simulation can be used to predict the performance and life cycle of battery cells across a wide variety of environmental conditions and states of charge, reducing experimental time and cost. In this case study, Veryst simulated a hybrid pulse power characterization test for an automotive lithium-ion battery cell.
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.
Capillary filling, the autonomous wicking of liquids through hydrophilic microchannels driven by surface tension and wettability, enables pump-free, precise fluid handling in microfluidic devices for the biotechnology, MedTech, semiconductor, and chemical processing fields. In this case study, we present advanced simulations of capillary filling and its dependence on wettability, quantified by the contact angle. Such simulations inform product and process design decisions to enhance efficiency, reliability, and scalability.
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.