Design of a Web-Based Plotting System for Stress–Strain Curve Visualization Based on Tensile Test Data
Keywords:
plot diagram, visualization, stress, strain, tensile testAbstract
The stress–strain curve plays an important role in determining the characteristics of a material and serves as a preliminary study in selecting materials for machine and structural design, with the aim of minimizing failure. However, the generation of such curves is still commonly performed manually using calculators and Microsoft Excel, which requires a relatively long processing time, especially when a large amount of data and multiple material types are involved. This study aims to design a web-based computational tool using the Python programming language to automatically process and visualize material stress–strain curves based on tensile test data. Tensile tests were conducted on ST 37 steel, ST 60 steel, and brass specimens machined according to the ASTM E8 standard using a universal testing machine. The test data obtained from the three materials were then uploaded into the developed system for processing, comparison, and visualization in the form of stress–strain curves. The system testing results showed that ST 37 steel had a maximum stress of 323 MPa with a strain of 0.26, ST 60 steel had a maximum stress of 547 MPa with a strain of 0.13, and brass had a maximum stress of 503 MPa with a strain of 0.18. The developed system was proven to generate accurate results while significantly reducing data processing time compared to conventional methods, making it a practical tool for material characterization analysis.
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