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.
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
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.
Electromagnetic heating is a critical technology for reducing emissions and energy use in manufacturing, which is the source of more than 30% of our greenhouse gas emissions. In this webinar, we will review various modes of electromagnetic heating, their underlying physics, and key methods for developing accurate multiphysics models of these technologies, and will present three helpful case studies.
Electromagnetic heating is a critical technology for reducing emissions and energy use in manufacturing, which is the source of more than 30% of our greenhouse gas emissions. In this webinar, we will review various modes of electromagnetic heating, their underlying physics, and key methods for developing accurate multiphysics models of these technologies, and will present three helpful case studies.
Electromagnetic heating is a critical technology for reducing emissions and energy use in manufacturing, which is the source of more than 30% of our greenhouse gas emissions. In this webinar, we will review various modes of electromagnetic heating, their underlying physics, and key methods for developing accurate multiphysics models of these technologies, and will present three helpful case studies.
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.
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.
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
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.
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.
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.
Thermal ablation is a minimally invasive way to treat tumors, and simulating the physics of ablation can help in the design of ablation devices. Veryst designed and simulated a catheter-based acoustic ablation device relying on acoustic pressure waves to heat tissue to induce necrosis.