Brass Material Analysis (MATLAB)

This project analyzes tensile test data for a brass specimen using MATLAB. It computes and visualizes the stress–strain response and extracts key mechanical properties, including:

• Modulus of elasticity (E)
• Yield strength (0.2% offset method)
• Ultimate tensile strength (UTS)
• Fracture stress
• Toughness (area under the stress–strain curve)

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Project Structure

Brass_Material_Analysis/ │ ├── Brass_Material_Analysis.m (main MATLAB analysis script) ├── B5_4.csv (raw tensile test data: force & elongation) ├── .gitignore (ignores autosave/backup files) └── figures/ (exported plots) ├── stress_strain_mpa.png ├── stress_strain_ksi.png ├── linear_elastic_fit.png └── offset_yield_method.png

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Data Description

The file B5_4.csv contains raw tensile test measurements:

• Column 1: Applied force (N)
• Column 2: Elongation (mm)

The script converts this into engineering quantities:

• Strain = ΔL / L0
• Stress = F / A (reported in MPa and ksi)

Specimen parameters:

• Initial gauge length: 78 mm
• Cross-sectional area: 0.506 mm²

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What the Script Does

1. Loads and processes tensile test data
2. Computes stress and strain
3. Creates stress–strain plots (MPa and ksi)
4. Extracts elastic region and fits a linear regression
5. Computes modulus of elasticity using polyfit
6. Uses trapz to integrate toughness
7. Applies the 0.2% offset method to estimate yield strength
8. Prints a summary table including:
   • Modulus of elasticity
   • Yield strength
   • UTS
   • Fracture stress
   • Toughness

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How to Run

Requirements:

• MATLAB
• Brass_Material_Analysis.m
• B5_4.csv

Steps:

1. Open MATLAB

2. Set Current Folder to this project

3. Run:

   Brass_Material_Analysis

4. View generated figures

5. Read mechanical property results printed in the Command Window

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Skills Demonstrated

• MATLAB programming
• Mechanical engineering analysis
• Stress–strain interpretation
• Linear regression (polyfit)
• Numerical integration (trapz)
• 0.2% offset yield method
• Data visualization
• Engineering report preparation

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Possible Extensions

• Automatically compute yield point intersection
• Support multiple specimens or materials
• Export summary tables and plots to a PDF report
• Convert script into reusable MATLAB functions