This half-hour, web-based class offers an overview of using inverse calibrations in MCalibration. This course will review how to set up MCalibration to run an inverse calibration, extract the data, and run the calibration.
Cohesive zone modeling is a powerful tool for predicting delamination in adhesively bonded structures. Veryst engineers use their expertise in experimental and computational fracture mechanics to calibrate cohesive zone models for accurate prediction of adhesive failure.
A commonly encountered failure mode in microfluidic devices is delamination between adjacent device layers. Veryst examined the influence of control channel geometry on the delamination pressure of a pneumatic microfluidic valve using finite element analysis.
Polymers exhibit significant temperature-dependent mechanical response. Veryst tested a PEEK material at multiple temperatures and calibrated the PolyUMod® Three Network (TN) material model for finite element simulation.
This case study demonstrates the testing and calibration of a polycarbonate material at a high strain rate of 1000 sec-1. The testing was done with the Split Hopkinson Pressure Bar (SHPB) system and the calibration is performed with Veryst Engineering’s MCalibration® software.
PEEK materials are increasingly used in a variety of industries with elevated temperature applications. This example shows how Veryst Engineering developed a temperature-dependent, nonlinear model of PEEK behavior for use in commercial FEA codes.
The peel test is widely used to measure the adhesion of thin, compliant films to rigid substrates. An accurate model of the peeling mechanics is required to extract the interface adhesion energy. Veryst used the PolyUMod® material model library along with a cohesive zone model of interface adhesion to simulate the peeling of a soft viscoplastic film from a rigid substrate.
All commercial FE packages provide material models for polymers, but Veryst Engineering’s PolyUMod® material library has advanced material models at the leading edge of polymer mechanics. We demonstrate the accuracy of a PolyUMod material model with native material models from Abaqus, ANSYS, and LS-DYNA.
Arrays of impinging fluid jets are an effective design solution for applications requiring large heat transfer rates. This case study demonstrates the ability of computational fluid dynamics (CFD) to predict heat transfer coefficient distributions and guide design choices to improve cooling uniformity.
Veryst can predict the ultimate strength and failure modes of design concepts generated using topology optimization and produced using additive manufacturing. We use advanced finite element analysis (FEA) that accounts for the nonlinear behavior of the material being used to make the part.
Veryst has extensive experience selecting and calibrating material models for ANSYS, including the Bergstrom-Boyce model and other metal plasticity models.
Veryst uses its extensive expertise in simulation and analysis to develop customized computational solutions. Clients developing new materials or new production processes are at a disadvantage when suitable simulation tools are not yet available. Veryst can develop unique, customized solutions such as simulation applications ("apps"), new material subroutines, and custom algorithms.
Veryst offers leading expertise in advanced finite element modeling, particularly for complex, nonlinear problems. Many of our staff come from leading nonlinear software firms and we have official partner relationships with numerous firms. We can address problems that other finite element analysis consultants either cannot or are not sufficiently experienced to do well.
Veryst offers expertise in simulation and testing of impact events with specialties including transient simulations, high strain-rate material characterization, modeling of failure mechanisms, and data processing and analysis. Veryst has served a wide range of industries in this area, such as consumer electronics, sports equipment, consumer appliances, and petrochemical engineering.
Veryst has extensive experience selecting and calibrating material models to capture the most important aspects of material behavior for your specific material and conditions during use. Using MCalibration®, a software tool originally developed