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Eagar–Tsai moving heat source model for melt pool dimension estimation

Project description

eagar-tsai

License: GPL v3 Python Platforms

Tests Lint

eagar-tsai is a Python library implementing the Eagar–Tsai moving heat source model to estimate melt pool dimensions (length, width, depth) for a scanning laser over a semi-infinite solid. Temperature fields are computed via a 1D integral; melt pool dimensions are extracted from the liquidus isotherm.

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Installation

[!NOTE] A C compiler is required: GCC or Clang on Linux/macOS; MSVC Build Tools or MinGW-w64 on Windows. The C extension is compiled automatically during installation.

# Recommended — using uv
uv add eagar-tsai

# Alternative — using pip
pip install eagar-tsai

Quick Start

compute_melt_pool requires a DataFrame with the columns below; workers, chunk_size, and output_dir are optional:

import pandas as pd
from eagar_tsai import compute_melt_pool

df = pd.DataFrame({
    "velocity_m_s":              [0.5],
    "power_w":                   [200.0],
    "beam_diameter_m":           [100e-6],
    "absorptivity":              [0.35],
    "liquidus_temperature_k":    [1700.0],
    "thermal_conductivity_w_mk": [30.0],
    "density_kg_m3":             [7800.0],
    "specific_heat_j_kgk":       [700.0],
})

result = compute_melt_pool(df)
print(result[["melt_length_um", "melt_width_um", "melt_depth_um"]])

Commonly overridden parameters:

result = compute_melt_pool(
    df,
    workers=4,                # parallel worker processes (default: None, serial)
    chunk_size=50,            # rows per worker chunk (default: 50)
    output_dir="CalcFiles/",  # write per-chunk CSVs (default: None)
)

Required Input Columns

Column Unit Description
velocity_m_s m/s Scan velocity
power_w W Laser power
beam_diameter_m m Beam diameter (2σ)
absorptivity Absorptivity (0, 1]
liquidus_temperature_k K Liquidus temperature
thermal_conductivity_w_mk W/(m·K) Thermal conductivity at liquidus
density_kg_m3 kg/m³ Density
specific_heat_j_kgk J/(kg·K) Specific heat at liquidus

Output Columns Added to the DataFrame

Column Unit
melt_length m
melt_width m
melt_depth m
melt_length_um µm
melt_width_um µm
melt_depth_um µm
peak_temperature K
min_temperature K

References

  • T. W. Eagar and N.-S. Tsai, "Temperature Fields Produced by Traveling Distributed Heat Sources," Welding Journal (Research Supplement), December 1983, pp. 346-s–354-s.
  • C integrand reformulation: Sasha Rubenchik, LLNL, 2015.

License

This project is licensed under the GNU GPLv3 License. See the LICENSE file for details.

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