Desarrollo de un código de programación en lenguaje Python para generación de gráficas de Ashby aplicadas a la selección de materiales

Abstract

In the present document it is proposed the development of a programming code capable of elaborating the Ashby materials charts using a visual way developed in the programming language Python. All the materials are gathered in a data base holding seventy-five materials and six properties: density, Young modulus, yield strength, thermal conductivity, thermal expansion and maximum service temperature; classified into seven regions: metals, ceramics, polymers, elastomers, naturals, foams and composites. By choosing two properties the code creates a bubble diagram that represents the values range of each material and wraps them into a region envelope created using analytic geometry methods. When the graphs are done, the code displays them in a simple way allowing to modify them easily, optimizing the required time to choose the best materials that are capable of fulfilling the objective. Finally, three graphs are compared using Ashby diagrams and the ones displayed by the Python code, reaching an error less than 15% which allows them to be used in the materials selection methods, this using a free open source software granting free access to the scientific community, contributing to the research development.