GithubHelp home page GithubHelp logo

kelechiodom10 / nitinol-design-concepts Goto Github PK

View Code? Open in Web Editor NEW

This project forked from confluentmedical/nitinol-design-concepts

0.0 1.0 0.0 223.63 MB

Nitinol design concepts and examples from Confluent Medical Technologies

Home Page: https://confluentmedical.github.io/nitinol-design-concepts

License: Other

Python 22.82% Roff 22.02% R 51.18% Shell 0.32% HTML 3.67%

nitinol-design-concepts's Introduction

Nitinol Design Concepts

Welcome SMST 2017 attendees! You can find Confluent presentations from the conference at the nitinol.com reference library.

This project includes tutorials and examples related to design and simulation of superelastic nitinol components. This content is provided by Confluent Medical Technologies as a resource for our customers, industry and community. If you want to know more about the background, or how you can contribute, read about this project.

The material here includes a deeper dive into topics covered in our Nitinol University courses, as well as research supporting scientific presentations and publications. The Design Tutorial series provides an introduction to design and simulation of a nitinol component, following methods that are commonly applied in the medical device industry. The SMST-17 Volumetric Methods series ventures into more advanced topics related to volumetric and probabilistic methods for assessing fatigue durability, first presented in May 2017 at the SMST conference.

Design Tutorial

This first series follows each step in the design and analysis of a realistic (but non-proprietary) laser cut nitinol component, from designing the geometry using Solidworks to shape setting and fatigue cycling using Abaqus.

  • Design | Create a 3D model of a laser cut Open Frame component using Solidworks.
  • Mechanical Properties | Perform tensile testing to characterize mechanical properties for simulation.
  • Shape Setting | Expand the laser cut component into a complex expanded shape using Abaqus finite element analysis.
  • Fatigue Simulation | Apply fatigue loading conditions using Abaqus.

SMST-17 Volumetric Methods

Building on the foundation of the example design and simulation material above, these next topics explore new methodologies and analysis approaches presented in "Volume weighted probabilistic methods for nitinol lifetime prediction" at SMST-2017 in San Diego. You can find a recording of the talk on YouTube. The slides and animations are here on GitHub.

Cite this project

DOI

nitinol-design-concepts's People

Contributors

cbonsig avatar kenaycock avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.