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Plastic Part Filling Essentials

This course is an introduction to performing basic injection molding simulation for product and design innovation on the 3DEXPERIENCE platform. The Plastic Part Filling app enables realistic simulation of the mold filling manufacturing process.

Course Catalog

Plastic Part Filling Essentials
Test Management Essentials

The Test Manager role enables the apps on the 3DEXPERIENCE platform that teams use to build a validation plan, record the steps an operator needs to know to carry out a virtual or physical test and record whether requirements are met.

Course Catalog

Test Management Essentials
Reinforced Panel - Mesh

Create a finite element model representation for a reinforced panel, define a meshing rule, and generate surface meshes on the panel, stringers and stiffeners.

Training Exercises

Reinforced Panel - Mesh
Pump - Mesh - Direct Import

Import a pump assembly, create a finite element model representation, and mesh the different parts using quadratic tetrahedral elements suitable for contact analyses.

Training Exercises

Pump - Mesh - Direct Import
Buckle Clip Insertion - Design with SOLIDWORKS

Start from a SOLIDWORKS study, transfer the buckle clip model to the 3DEXPERIENCE platform using Design with SOLIDWORKS, then mesh, assign materials and run the static simulation.

Training Exercises

Buckle Clip Insertion - Design with SOLIDWORKS
Pump - Mesh - Design with SOLIDWORKS

Send a pump assembly from SOLIDWORKS to the 3DEXPERIENCE platform, open Structural Model Creation, and mesh all components with quadratic tetrahedral elements.

Training Exercises

Pump - Mesh - Design with SOLIDWORKS
Buckle Clip Insertion - Direct Import

Mesh a provided buckle clip, assign material and section properties, create a static simulation step, and postprocess the results in the 3DEXPERIENCE platform.

Training Exercises

Buckle Clip Insertion - Direct Import
Modeling and Simulation Workflow

Interactive demo showing how to configure content, open existing beam geometry, initialize a finite element mesh, assign material and element type, define loads and boundary conditions, and run a structural simulation.

Training Exercises

Modeling and Simulation Workflow
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SIMULIA 自己学習

ダッソー・システムズでは、それぞれのご都合に合わせて継続的に学習できるよう、さまざまな自己学習モジュールをご用意しています

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ダッソー・システムズの技術者が最新ニュースやイノベーションについて書いている SIMULIA ブログをご覧ください。

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Use Machine Learning to Optimize Weld Integrity

As a welded part cools down, residual stresses form within the part. The structural performance of a weld depends heavily on the parameters of the welding process, such as heat input, welding paths, and fixture designs. Simulation can model the weld process in order to calculate the residual stress distribution and deformation within welded submarine parts. This article explains how artificial intelligence (AI) and machine learning can be used to accelerate analysis and optimization of welds.

Article

Use Machine Learning to Optimize Weld Integrity
New, FREE Short and Interactive eLearning for Simulation!

SIMULIA introduces several short eLearning courses to help users adapt quickly to simulation on the 3DEXPERIENCE platform. This new format teaches today’s learners in a succinct, dynamic, interactive way and after registration these courses can be accessed without any cost!

Article

New, FREE Short and Interactive eLearning for Simulation!
Game, Set, Match! Simulation of the Magnus Effect in Tennis

The Magnus effect is a well-known effect that impacts the motion of a spinning object through a fluid. One of the most common ways to experience the impact of this principle is through the motion of balls in sports. Indeed, this physics principal is used by amateurs and professional athletes in sports such as tennis, soccer, cricket, baseball etc. In the below example, we ask Nicolas Fougere, SIMULIA Fluids, Industry Process Consultant Manger, to walk us through a tennis ball simulation workflow.

Article

Game, Set, Match! Simulation of the Magnus Effect in Tennis
SiminSitu EU Project with 4RealSim

SIMULIA is delighted to work with engineering leaders and academics as they leverage simulation capabilities to help shape the future of their industry. We had the opportunity to interview 4RealSim, a company specializing in high-end numerical analysis services. During the interview, we discussed how 4RealSim uses Abaqus in the SimInSitu EU project (http://www.siminsitu.eu/). SimInSitu aims to develop sophisticated in-silico methods to predict the short- and long-term behavior of in-situ tissue-engineered heart valves (TEHV) by combining advanced tissue remodeling algorithms with a personalized virtual heart modeling approach. The method will be specifically developed to predict the complex transformation process of biodegradable heart valves from the initially synthetic scaffold into a fully remodeled and functional valve.

Article

SiminSitu EU Project with 4RealSim
Democratizing Engineering Analysis Through a Universal Material Subroutine

The recent webinar playback for Democratizing Engineering Analysis Through a Universal Material Subroutine with Dr. Ellen Kuhl from Stanford University and Dr. Mathias Peirlinck from Delft University of Technology is now available in the SIMULIA Community. Listen as they share their expertise on democratizing engineering analysis through a universal material subroutine.

Article

Democratizing Engineering Analysis Through a Universal Material Subroutine
Engineering Insights: Dr. Alison McMillan on Modeling Material Fatigue

The annual SIMULIA Regional User Meetings (RUMs) provide a forum for practicing engineers and researchers to exchange ideas and experiences in all aspects of simulation technology. Late last year, Alison McMillan, Professor in Aerospace Technology at Wrexham University, gave a presentation to RUM attendees in the UK, Fretting: Modeling mechanisms for material damage.

Article

Engineering Insights: Dr. Alison McMillan on Modeling Material Fatigue

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