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@dogusariturk dogusariturk released this 04 Mar 21:29
· 171 commits to main since this release
v0.1.0
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eagar-tsai v0.1.0 Release Notes

Overview

eagar-tsai v0.1.0 is the first public release of 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 1-D integral; melt pool geometry is extracted from the liquidus isotherm.

Highlights

  • Focus: fast, reproducible melt pool dimension estimation from first-principles thermal modelling.
  • Performance: compiled C extension wrapped as a SciPy LowLevelCallable for zero-overhead integrand evaluation; pure-Python fallback when a C compiler is unavailable.
  • Batch API: compute_melt_pool(df) processes a pandas DataFrame with built-in multiprocessing, optional per-chunk CSV output, and automatic domain expansion.
  • Platforms: Python 3.11+, Linux / macOS (x86_64, arm64) / Windows, with pre-built wheels for CPython 3.11–3.13.

Full Changelog: https://github.com/ArroyaveLab/eagar-tsai/commits/v0.1.0

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