Materials Selection for an Oar Jupyter Notebook
The combination of the Ashby Selection Methodology and property charts from Ansys Granta EduPack is a highly visual way to logically select materials for a design based on requirements. This virtual exercise walks through the process of selecting the material for a rowing oar using the
Ashby Selection Methodology via a Jupyter Notebook interface. Interactive elements for engaging with the exercise, including static property charts, are added using Python script. This resource is specifically targeted at the pre-university level, for those without an Ansys Granta EduPack license. No previous Python experience is required to run this lab.
Learning Outcome
- Follow the Ashby Selection Methodology through a simple materials selection problem
- Explain the value visualizing material properties in Ashby charts provides to engineers
- Describe each step of the Ashby Selection Methodology
- Have an awareness of how material performance indices are derived
Applicable Courses
- Pre-university science and engineering courses
- introductory materials course
- intro to engineering courses
Downloadable Content
- A zip folder with: ReadMe file, Material for Oar Material Selection Jupyter Notebook file, three python script files, and relevant figures
