Dassault Systèms offers Abaqus, FEA for FREE! The student edition is great to learn Abaqus and for personal pet projects. It’s also great resume fodder too. The major difference from the commercial version is that it is has a limitation of 1000 nodes. We will go through the simple steps to get up and running.
This calculator has been updated in this post please click here. 'No Muss No Fuss Quotes' https://optimaldevice.com/blog/abaqus-2016-token-calculator/
Please share your coolest animations from 2015. Link to access playlist. Here are a couple of guidelines: 1. Please share only your personally created content from 2015. 2. Simulia only: Abaqus, Isight, Tosca, Fe-Safe, Simpoe 3. Feel free to post multiple videos. 4. Suggested comments: Name, Company, brief description of simulation if not obvious. Since YouTube doesn’t allow comments on a playlist please place any comments here:
Designing a medical device commonly starts with the healthy or diseased anatomy. Geometry without significant simplifications typically comes from various 3D scanning technologies such as CT or MRI. Here we will go through turning scanned point cloud data into usable NURBS CAD geometry with Catia. FOR FREE ACCESS THE FILES CREATED FOR THIS POST PLEASE CLICK HERE
Abaqus is itself a powerful tool for Finite Element Analysis, but coupling it with Dassault Systèmes Isight can open up new worlds of capabilities when it comes to design optimization. Isight is a system integration tool that is designed to execute other engineering software codes; providing inputs, executing models, parsing results, linking them into integrated
While 3D printing has been widely embraced as a means of speeding up the product development process X-Ray 3D scanning has been somewhat less utilized, despite its tremendous usefulness. Part of the reason for this may be that while a 3D print can be held and touched the data files from CT scans are enormous
Introduction The purpose of this post is to explain how to utilize medical imaging data in the development of a prosthetic implant. The two most common medical imaging technologies are CT and MRI. Both export a stack of 2D grey scale images over a 3D domain in the standard Digital Imaging and Communications in Medicine (DICOM) format. In this post I will go through the development of geometric (CAD) and mechanical (FEA) models based off anatomical imaging data. Through this workflow designs can be tuned for specific biometry based on realistic loading scenarios. As always all of the models used to develop this post are available at the end of the article.
Topology optimization creates an organic geometry flowing material to where it is needed and eroding where it is not efficient. This technology is ideally suited to the limited manufacturing constraints that 3D printing offers. 3D printed parts by virtue of their layer by layer additive manufacturing approach have complex material properties. These properties are similar to wood where there is a stiff direction (with the grain) and a weak direction (across the grain). To gain the highest performance in 3D printed parts these material properties must be considered in the design process.
One of the most powerful features of Abaqus is that the GUI is essentially a command generator for python, which is itself a very powerful open source scripting language. Any action that you take in Abaqus CAE is recorded as a python script and these scripts are available to you to modify and execute at
Interview related to this work https://www.youtube.com/watch?v=vGeig6tIvyU&feature=youtu.be Introduction In this post I will go through the methodology to perform topology optimization with Catia (CAD), Abaqus (FEA) and Tosca (Topology Optimization). Topology optimization evolves the geometry to remove unneeded material effectively minimizing weight. This is carried out by automatically scaling individual element’s density and stiffness based on the stress state of the previous simulation. This is an iterative process where material flows to regions to satisfy constraints and minimize the objective function. The created geometry represents the maximum allowable geometry and would be a heavy stiff head. High stiffness is desirable however weight is not. This will be the basis for the objective function of the optimization. The basic workflow is to create CAD geometry with the maximum allowable footprint. Create a standard FEA simulation. Create a topology optimization setting goals and constraints. You can download the files created in this article freely below.