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Flamelet Table Generator

Solve strained counterflow diffusion flamelets and tabulate flamelet/progress-variable lookup tables for turbulent combustion models

Open in the appRun via API

Hardware and price

Price per run

What a typical run reserves from your wallet: the catalog's expected runtime on each piece of hardware × your plan's per-second rate. Larger inputs reserve more, and you're charged only for the seconds the job actually runs.

Flamelet Table Generator: reservation per run, USD
HardwareTypical runtimeBasicStarterProEnterprise
CPUDefault30 min$0.25$0.14$0.09$0.054

In workflows

Chain it with other steps.

Each input and output has a data kind, so the builder only connects steps that fit.

Inputs

  • Kinetic mechanism · optionalYAML, CHEMKIN

Outputs

  • ArchiveZIP
  • TableCSV
  • TableCSV
  • TableCSV

References

The method behind it.

  1. David G Goodwin, Harry K Moffat, Ingmar Schoegl et al. (2023). Cantera: An Object-oriented Software Toolkit for Chemical Kinetics, Thermodynamics, and Transport Processes. Zenodo. doi:10.5281/zenodo.8137090 (opens in a new tab)
  2. N. Peters (1984). Laminar diffusion flamelet models in non-premixed turbulent combustion. Progress in Energy and Combustion Science. doi:10.1016/0360-1285(84)90114-x (opens in a new tab)
  3. Charles D. Pierce, Parviz Moin (2004). Progress-variable approach for large-eddy simulation of non-premixed turbulent combustion. Journal of Fluid Mechanics. doi:10.1017/s0022112004008213 (opens in a new tab)
  4. R.W. Bilger, S.H. Stårner, R.J. Kee (1990). On reduced mechanisms for methane-air combustion in nonpremixed flames. Combustion and Flame. doi:10.1016/0010-2180(90)90122-8 (opens in a new tab)

Run via API

Submit it from your own code.

Use an API key from your account. The estimate uses your plan's rates; submitting reserves that amount from your wallet.

# Estimate the reservation for your plan (payload fields: see the API reference)
curl -X POST https://api.cognichem.com/api/v1/jobs/estimate \
  -H "X-Api-Key: $COGNICHEM_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"job_type": "flamelet-table", "resource": "cpu", "payload": {}}'

# Submit (retrying with the same Idempotency-Key never submits twice)
curl -X POST https://api.cognichem.com/api/v1/jobs/submit \
  -H "X-Api-Key: $COGNICHEM_API_KEY" \
  -H "Idempotency-Key: $(uuidgen)" \
  -H "Content-Type: application/json" \
  -d '{"job_name": "flamelet-table-1", "job_type": "flamelet-table", "resource": "cpu", "payload": { ... }}'
Payload fields and examples in the docs

Fluids & Thermodynamics

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