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Ludwigshafen, Germany

Continuous polymerization -> inline devolatilization -> melt transfer — a FLORY-HUGGINS process flowsheet

A continuous free-radical CSTR (Mn/Mw/PDI via method-of-moments) converts 10% of its monomer feed to polymer per pass; the effluent flashes above its real Flory-Huggins bubble point to strip most of the residual monomer for recycle (the same physics as the polystyrene-devolatilization example, chained directly onto a reactor for the first time). The still-solvent-carrying melt then transfers through a pipe whose pressure drop is driven by a real non-Newtonian melt viscosity — the 3.4-power Mw scaling law plus Carreau shear-thinning, not a flat user-guessed constant — closing the 'viscosity-driven hydraulic pressure drop' gap a competitive pitch this session flagged as unbuilt.

Modeling assumptions & limitations

  1. 1'ethanol'/'polymer' are the Flory-Huggins-package's actual solvent/polymer ids (the same stand-in-carrier convention the free-radical-polymerization example already uses, with monomer_mw overridden to styrene's real 104 g/mol) — a real bulk process pushes further toward a solids-rich melt, but the Flory-Huggins flash's own bubble-point search becomes numerically unreliable very close to the solvent's critical point at high polymer loading (found while building this example), so the reactor conversion here is tuned to a regime that flashes cleanly and monotonically rather than chasing an unverified near-critical number.

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Monomer
POLY
Devol
Recovered Monomer
MELT PIPE
Pellet Product
What this showcases
  • Rigorous FLORY-HUGGINS thermodynamics, solved by the same engine every simulation runs on.
  • 3 unit operations modeled: POLY, Devol, MELT PIPE.
  • Focus areas: Polymer, Devolatilization, Melt viscosity, Non-Newtonian, Pipeline.
  • Verified fast convergence — a real, measured solve time, not an estimate.
Specification
Thermodynamics
FLORY-HUGGINS
Components
ethanol, polymer
Unit operations
POLYDevolMELT PIPE
Open in workspace

Opens in a new tab, loaded straight into the app — no setup.

Read the step-by-step guide
Python SDK

Reproduce this exact result from Python — the real client.get_example() → run_and_wait() path, not a mockup.

from flowsim.sdk import FlowSimClient

client = FlowSimClient()
example = client.get_example("polymerization-devolatilization-melt-transfer")
sim = client.create_simulation(example["title"], example["flowsheet"])
result = client.run_and_wait(sim["id"])

print(result["status"])              # "converged"
streams = client.streams(sim["id"])

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Reference model (Flory, Principles of Polymer Chemistry, 1953)

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