JCAL & Biot acoustic material characterization
We measure the full parameter set your poroelastic materials need for accurate simulation, up to 10 JCAL and Biot parameters, from your samples to simulation-ready data.
Description
Accurate acoustic simulation starts with accurate material parameters. Mecanum’s characterization service measures up to 10 parameters your poroelastic materials need, porosity, airflow resistivity, tortuosity, viscous and thermal characteristic lengths, static thermal permeability, frame bulk density, Young’s modulus, damping loss factor, and Poisson’s ratio, on our dedicated test benches. You send us your materials; we return a complete, validated dataset ready to drop into JCAL or Biot models in your simulation software like NOVA, VA One, COMSOL, Nastran, and Wave 6.
Our methods
JCAL characterization (up to 7 parameters)
Three measurements and one simulation determine porosity, bulk density, airflow resistivity, tortuosity, the two characteristic lengths, and static thermal permeability, on our measuring benches, completed by FOAM-X. The right level when the frame’s elastic behavior can be neglected.
Biot characterization (up to 10 parameters)
Four measurements and one simulation add the complex Young’s modulus, damping loss factor, and Poisson’s ratio to the JCAL set, using our measuring benches, completed by FOAM-X. The full poroelastic picture, for when frame deformation affects acoustic performance.
Complex / inverse characterization
For multilayer treatments, each layer is separated and characterized individually, then simulated together in NOVA. When layers can’t be separated, an inverse method on the complete material yields equivalent properties. FOAM-X’s genetic algorithm identifies the parameters that best replicate your measured impedance-tube curve, and combining direct and inverse methods safeguards data quality.
Workflow
Describe
your materials and your target model (JCAL, Biot, or complex)
Send
your samples with our handling guidance
We measure
on the dedicated benches and run the simulation
We validate
with combined direct and inverse methods
Receive
a full reporting including a complete, simulation-ready dataset