Blending Finite Element Methods and ML

Blending Finite Element Methods and ML
by Bernard Murphy on 01-23-2024 at 6:00 am

FEM mesh min

Finite element methods for analysis crop up in many domains in electronic system design: mechanical stress analysis in multi-die systems, thermal analysis as a counterpart to both cooling and stress analysis (eg warping) and electromagnetic compliance analysis. (Computational fluid dynamics – CFD – is a different beast which… Read More


Webinar: Introductory Teaching of Solid Mechanics with FEA

Webinar: Introductory Teaching of Solid Mechanics with FEA
by Admin on 12-14-2023 at 4:12 pm

We will showcase during this webinar, how Ansys helps to bring in numerical simulation earlier in the curriculum as part of fundamental courses. We’ll share some easy-to-grasp practical examples to inspire students and reinforce theoretical learning, highlighting how analytical teaching of theories can complement

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Webinar: Intro to Ansys Sherlock for Electronics Reliability

Webinar: Intro to Ansys Sherlock for Electronics Reliability
by Admin on 10-02-2023 at 3:54 pm

Rand Simulation’s FEA (Structural) Consulting Engineer, Adam LeMay, will be presenting an introduction to Ansys Sherlock for electronics reliability for enhanced product designs via virtual testing (simulation).

During this webinar, you’ll learn about:

– The environmental challenges that printed… Read More


Ansys 2023 R1/R2: Ansys FEA Meshing What’s New

Ansys 2023 R1/R2: Ansys FEA Meshing What’s New
by Admin on 08-29-2023 at 12:56 pm

We’ll present all the new updates for solid meshing in Ansys Workbench and how it can reduce the user’s efforts of solid meshing.

TIME:
SEPTEMBER 14, 2023
11:00 AM IST

Venue:
Virtual

About This Webinar

Ansys enhanced its meshing capabilities over the years. In this webinar, we’ll review the enhancements for Ansys meshing

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Webinar: SimSolid-the next generation of Finite Element Analysis (FEA)

Webinar: SimSolid-the next generation of Finite Element Analysis (FEA)
by Admin on 02-13-2023 at 4:13 pm

Wednesday, March 1 | 15:00 IST (Tel Aviv)

The SimSolid computational engine is based on extension to the theory of external approximations. External approximations are a generalization of Finite Element Method (FEM) in terms that:

  • Absolutely arbitrary geometrical shapes can be used as “finite elements”.
  • Basis functions
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Webinar: Modelling of Thermal Signatures from FEA and CFD Simulations

Webinar: Modelling of Thermal Signatures from FEA and CFD Simulations
by Admin on 02-06-2023 at 2:07 pm

Thermal signature modelling is one of the most challenging steps on the EOIR mission simulation thread; depending on the materials it’s made of and the heat loads a target is exposed to, it will emit radiation at different rates withing the EM spectrum. This emissivity profile can be virtually modelled by connecting thermal

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Webinar: Introduction to Solid Mechanics with FEA

Webinar: Introduction to Solid Mechanics with FEA
by Admin on 01-11-2023 at 4:02 pm

Structural FEA is a fundamental topic at the core of most engineering curriculums and is approached from a very theoretical perspective, like many other engineering topics. This can make things challenging for educators regarding student engagement or transmitting impactful learning outcomes.

TIME:

MARCH 8, 2023

9:00 AM

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How to Use Materials Characterization to Generate Accurate FEA Models

How to Use Materials Characterization to Generate Accurate FEA Models
by Admin on 05-16-2022 at 4:01 pm

Simulations are only as good as their input data. Learn how you can use materials characterization to improve simulation accuracy in this upcoming webinar.

Time:
May 26, 2022
11 AM EDT / 4 PM BST / 8:30 PM IST

Venue:
Online

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Best Practices for Reviewing Finite Element Analysis (FEA)

Best Practices for Reviewing Finite Element Analysis (FEA)
by Admin on 07-29-2021 at 4:01 pm

LIVE WEBINAR | 25 AUGUST 2021 | 11:00 AM EDT

Getting the most out of your simulation analysis results

Each time an FE model is solved, it can help create a vast amount of results data. The ability to process the data and quickly gain an understanding of the model behavior is important for a fast analysis turnaround.

The postprocessor

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