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Tensile Testing and Materials Science

Stress-Strain Curve Generator for Tensile Testing and Materials Science

A stress-strain curve captures how a material deforms under load, from the elastic region through yielding to failure. Plotivy turns tensile test data into a publication-ready Python figure with the elastic slope, yield point, and ultimate tensile strength clearly annotated.

Create a Stress-Strain CurveOpen the Live Example

When a Stress-Strain Curve Is the Right Choice

Use a stress-strain curve when you need to characterize a material's mechanical behavior from a tensile or compression test. It is the standard figure in materials science and mechanical engineering because a single plot encodes stiffness, strength, and ductility together.

Elastic modulus

Read Young's modulus from the slope of the initial linear region.

Yield strength

Mark where the material stops returning to its original shape.

Ultimate strength

Show the peak stress the specimen sustains before necking.

Ductility

Compare elongation at failure across alloys, polymers, or treatments.

What Plotivy Adds to the Workflow

Annotated key points

The yield point and ultimate tensile strength are marked so reviewers find them instantly.

Clear regions

The elastic slope and plastic hardening read distinctly from the load curve.

Failure behavior

Necking past the ultimate point keeps the figure faithful to real ductile response.

Reproducible Python output

Every figure is editable code, so you can overlay multiple specimens or materials.

Live Code Lab: Stress-Strain Curve

This example builds a ductile-metal curve with an elastic region, plastic hardening, and necking after the ultimate point, then annotates the yield point and ultimate tensile strength. Swap in your own strain and stress arrays to chart a real tensile test.

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Stress-Strain Curve

Displays mechanical stress versus strain from tensile testing, annotating elastic modulus, yield point, ultimate tensile strength, and fracture.

Sample code / prompt

import matplotlib.pyplot as plt
import numpy as np

np.random.seed(42)
strain = np.linspace(0, 0.5, 1000)
E = 200e3  # Young's modulus MPa
yield_s = 350
UTS = 500
elastic = E * strain
plastic_start = yield_s / E
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Hysteresis Loop

Plots magnetization as a function of applied magnetic field, forming the characteristic closed loop that quantifies coercivity, remanence, and saturation.

Sample code / prompt

import matplotlib.pyplot as plt
import numpy as np

np.random.seed(42)
H = np.linspace(-10, 10, 500)
Ms = 1.0
Hc = 3.0
M_upper = Ms * np.tanh((H + Hc) / 2)
M_lower = Ms * np.tanh((H - Hc) / 2)
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Line Graph

Displays data points connected by straight line segments to show trends over time.

Sample code / prompt

import matplotlib.pyplot as plt
import numpy as np

# Generate temperature data for 3 major US cities over 12 months
months = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec']
nyc = [30, 32, 40, 52, 65, 75, 82, 81, 74, 63, 50, 38]
miami = [65, 66, 70, 76, 82, 87, 90, 90, 87, 80, 72, 66]
chicago = [25, 27, 35, 48, 62, 72, 80, 79, 71, 60, 45, 32]

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Scatterplot

Displays values for two variables as points on a Cartesian coordinate system.

Sample code / prompt

import matplotlib.pyplot as plt
import numpy as np
from scipy import stats
import pandas as pd

# Generate sample data
np.random.seed(42)
n_samples = 200
height = np.random.normal(170, 8, n_samples)
weight = height * 0.6 + np.random.normal(0, 8, n_samples) - 50
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Error Bars

Graphical representations of the variability of data indicating error or uncertainty in measurements.

Sample code / prompt

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import matplotlib.pyplot as plt
from scipy import stats

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np.random.seed(42)
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mean_values = np.array([10, 25, 80, 250, 600, 800])

# Generate 5 replicates per time point with noise
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Related Use Cases

Materials Science

Microstructure, mechanical testing, and characterization figures.

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Engineering

Design data, simulation results, and performance plots.

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Reliability

Failure analysis, lifetime distributions, and Weibull plots.

Learn more

Turn Tensile Data into a Clear Mechanical Figure

Build a stress-strain curve from your own test data, annotate the yield and ultimate points, and export a figure that is ready for a paper, report, or spec sheet.

Create Your Stress-Strain CurveBrowse All Use Cases