Johnson-Cook Parameter Finder

Input Data

Stress-Strain Data Type: Engineering Stress-Strain True Stress-Strain

Upload Data File (CSV/TXT - Strain, Stress per line):

Or paste data below (one strain,stress pair per line, comma or space separated):

Experimental Conditions

Reference Strain Rate (ε̇₀, s⁻¹):

Reference Temperature (T_ref, K):

Melting Temperature (T_melt, K):

Note: For C and m parameter determination, the tool currently uses simplified placeholders. Provide multiple datasets in the text area, separated by a line containing '---NEW_DATASET---' for future, more advanced versions.

Varying Strain Rates (s⁻¹, comma-separated, for C calculation - e.g., 1, 10, 100):

Varying Temperatures (K, comma-separated, for m calculation - e.g., 298, 573, 773):

Calculated Johnson-Cook Parameters

A (Yield Stress): - MPa

B (Strain Hardening Coefficient): - MPa

n (Strain Hardening Exponent): -

C (Strain Rate Sensitivity Coefficient): - (Requires multi-dataset input)

m (Thermal Softening Exponent): - (Requires multi-dataset input)

Disclaimer

The Johnson-Cook Parameter Finder tool is designed solely for educational use and preliminary research.

Simplified Methodology:

Parameters (A, B, n) are estimated using a basic linear regression approach, without advanced curve fitting or optimization.

The yield stress (A) is taken as the first stress-strain data point, which may not be representative for all materials.

Parameters for strain rate sensitivity (C) and thermal softening (m) are currently inactive and require additional data for accurate computation.

Limited Accuracy:

Outputs are not validated and should be cross-checked against experimental data or reputable material databases.

The tool does not model complex behaviors like anisotropy, temperature effects, or nonlinear hardening.

User Responsibility:

The developers make no warranties about the tool's accuracy, reliability, or applicability.

Users are fully responsible for how they interpret and use the estimated parameters.

Development Status:

This is a prototype version. Future enhancements may include multi-condition dataset fitting and more robust regression techniques.