Staged-separation (distillation) column solver: McCabe–Thiele, Ponchon–Savarit, FUG shortcut, and rigorous MESH methods, built on vle-thermo
Project description
stages-thermo
A staged-separation (distillation) learning library and fast steady-state
column solver, built on vle-thermo.
import stages — walk the full pedagogical ladder of column methods
(McCabe–Thiele → Ponchon–Savarit → Fenske–Underwood–Gilliland shortcut →
rigorous MESH), each implemented from scratch and anchored to its textbook
equations, with a granular, batch-capable API ("numpy for distillation
columns"). All thermodynamics come from vle-thermo; this package adds none of
its own.
pip install stages-thermo # import name is `stages`
Status:
0.0.xis a name-holding stub (Milestone 0, repo bootstrap). The only surface today is the vle-thermo smoke path. Column methods land milestone by milestone — see the repo'sROADMAP.md. Not usable for real work until1.0.
import stages
stages.__version__
# '0.0.1'
# M0 smoke path: equimolar methanol/water bubble T [K] at 101.325 kPa, computed
# through vle-thermo. Approximate — proves the dependency links end-to-end,
# not a validated value.
stages.smoke_bubble_temperature()
The native core is a Rust crate (stages-thermo on crates.io) with PyO3
bindings; wheels are abi3 (cp310-abi3-*), so one wheel per (OS, arch) covers
CPython 3.10+.
License
MIT © Miguel Roberto Jackson Ugueto
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