Tensile Test
Tensile testing is a common method used to determine the mechanical properties. During this test, a steel sample is subjected to tension until it fractures. The test provides important data on the ultimate strength, yield strength, and elongation of the steel.
The test involves placing a steel sample in a tensile testing machine, which applies a controlled and gradually increasing force to the sample. The force is applied in the longitudinal direction of the sample, causing it to elongate until it ultimately fractures. The amount of force applied and the resulting elongation are recorded throughout the test.
The data collected from the test is used to create a stress-strain curve, which shows the relationship between the applied force and the deformation of the steel. From this curve, the ultimate strength, yield strength, and elongation can be determined. Ultimate strength is the maximum stress that the steel can withstand before it fractures, while yield strength is the stress at which the steel begins to deform permanently. Elongation measures how much the sample stretches before it fractures.
Tensile testing is an important method for quality control in the steel industry, as it allows manufacturers to ensure that the steel they produce meets the required mechanical properties for its intended use.
XY Plot for Logarithmic Strain
After exporting the logarithmic strain values with Excel with ABAQUS Tools, I tried to calculate the True Strain Rate using these data and create its graph. While doing this, I used Python and its libraries.
How can we calculate the True Strain & True Strain Rate
To calculate true strain rate for a tensile test, you will need strain values at different deformation stages. These strain values should be taken from the same location on the part, typically from a small region of interest or a gauge section. The region should be representative of the overall deformation behavior of the material. Therefore, you need to export the strain values from the same point or region of the part at different deformation stages to calculate true strain rate.
Final Step, Using Python for calculating
Pandas is a popular open-source data analysis and manipulation library for Python. It provides data structures and functions needed to work with structured data seamlessly. With pandas, you can load, manipulate, analyze, and visualize data in various formats such as CSV, Excel, SQL databases, and more.
NumPy is used for numerical operations on large data sets, making it a fundamental library in scientific computing and data analysis.
Matplotlib is a Python library used for creating static, animated, and interactive visualizations in Python. It provides a variety of plotting tools and functions for creating plots, charts, histograms, and other visual representations of data.
So I tried to create a True Strain Rate graph using the equations I explained above and Python libraries. In this way, I have both practiced analysis and experienced managing, analyzing and using data using Python.
