.png){kind=small}
K-Flash: Rapid Polymer Event Simulation
Traditional aging models are built for slow time. K-Flash is built for events that happen in seconds.
Frontal polymerization. Pyrolysis. Ablation. Curing. Thermal runaway. These are not aging events. They are transformation events. They happen in seconds or minutes, not years. And they couple heat generation, chemical reaction, and material property change all at once.
No traditional FEA solver handles this coupled fast-transient regime accurately. ANSYS can run heat transfer. Abaqus can handle material nonlinearity. Neither was built for the regime where your material is simultaneously generating heat, changing phase, losing mass, and losing structural integrity in a single coupled simulation.
K-Flash predicts all of it: reaction front velocity, heat generation rate, mass loss curve, ablation depth, surface recession, and whether your system survives the event -- in one simulation, in minutes.
Trusted by Industry, Government & Research Leaders
Six Rapid Events. One Simulation Engine.
K-Flash covers every fast polymer transformation where traditional steady-state or slow-aging models break down. Each event is modeled with coupled physics: heat transfer, chemical kinetics, and mechanical property evolution running simultaneously.
Frontal Polymerization
What it is: A self-propagating reaction front where monomer converts to polymer in a narrow zone, releasing heat that drives the front forward.
K-Flash predicts: Predicts front velocity (mm/s to m/s), temperature profile through the front, conversion gradient, and final property distribution across the part.
Industries: Aerospace composites, rapid manufacturing, self-healing materials, DOD structural applications
Curing & Rapid Thermal Gelation
What it is: Exothermic crosslinking reaction in thermosets, elastomers, and adhesives. Heat generated internally can cause runaway if cure schedule is not optimized.
K-Flash predicts: Predicts cure front propagation, temperature rise during cure, degree of cure spatial distribution, and identifies runaway risk zones before they occur in the mold or bondline.
Industries: Composite manufacturing, adhesive bonding, rubber vulcanization, electronics potting
Pyrolysis
What it is: Thermal decomposition of polymer chains into volatile fragments and char. Happens above pyrolysis temperature, which varies by polymer type.
K-Flash predicts: Predicts onset temperature (by polymer chemistry), decomposition rate, volatile generation, char layer formation, and structural integrity loss as a function of time and heat flux.
Industries: Fire safety engineering, aerospace thermal protection, nuclear cable insulation safety, composite fire response
Thermal Runaway
What it is: Uncontrolled exothermic reaction where heat generation exceeds heat dissipation, leading to catastrophic temperature rise, decomposition, or fire.
K-Flash predicts: Predicts runaway onset time and temperature, critical heat flux threshold, thermal runaway propagation path, and identifies geometry and formulation changes that eliminate runaway risk.
Industries: Battery encapsulants (EV/aerospace), energetic material handling, nuclear reactor polymer components, industrial chemical processing
Ablation & Surface Recession
What it is: Controlled material removal from a surface exposed to extreme heat flux (re-entry, rocket nozzles, directed energy). Material ablates to protect the underlying structure.
K-Flash predicts: Predicts ablation rate (mm/s), recession depth as a function of time and heat flux, char layer thickness, surface temperature, and thermal protection system (TPS) survival probability.
Industries: Aerospace re-entry vehicles, rocket motor nozzles, directed energy protection systems, hypersonic vehicle TPS
Rapid Thermal Degradation
What it is: Fast property loss in polymer under sudden extreme temperature: not slow aging, not combustion, but rapid stiffness loss, strength drop, and dimensional instability in seconds to minutes.
K-Flash predicts: Predicts property retention curve from baseline to degraded state across a rapid thermal transient. Outputs time-to-failure and property floor values for structural assessment.
Industries: Post-fire/blast material assessment, industrial accident response, rapid temperature cycling in defense and aerospace
What K-Flash Predicts -- and Why It Matters
K-Flash Output
Reaction front velocity (mm/s)
Heat generation rate (W/m3, time-resolved)
Temperature field (spatial + temporal)
Mass loss / ablation depth (mm, time-resolved)
Property retention curve (vs. time)
System survival probability
What It Tells You
How fast the transformation will propagate through the part or assembly
How much energy is released per unit volume per second during the event
Where the hot spots are and when they peak -- not just surface temperature
How much material is lost and where the recession front is at each time step
Stiffness, strength, elongation retained through the transient event
Does the component, assembly, or system survive the event to spec?
Decision It Enables
Validate that cure or polymerization completes in required time window; identify runaway risk before it reaches critical zone
Redesign cure schedule, mold geometry, or cooling system to keep peak temperature below degradation threshold
Locate highest-risk zones for thermal damage; correlate to mechanical property loss maps
Validate TPS thickness for mission duration; determine whether backup structure is exposed
Structural assessment during and after the event; supports return-to-service or replacement decision
Design validation without physical test; qualification support for DOD, aerospace, and nuclear programs
Why Not ANSYS or Abaqus?
Both are excellent tools. Neither was built for the coupled fast-transient regime. Here is the specific gap K-Flash fills:
Capability
Coupled heat transfer + chemical kinetics
Moving reaction front (frontal polymerization / ablation)
Material property evolution during event
Mass loss / ablation / surface recession
Thermal runaway onset prediction
Setup time for a new rapid event
Traditional FEA (ANSYS/Abaqus)
Requires custom user subroutines (UMAT/VUMAT); error-prone, requires specialist
No native front-tracking; requires complex level-set or ALE formulation
Requires manual property table updates; cannot capture real-time chemistry
Not natively supported; workaround with element deletion (inaccurate)
No built-in stability analysis for exothermic reactions; requires trial-and-error
1-4 weeks (user subroutine development, validation)
K-Flash
Built-in: all events are natively coupled, no user subroutine required
Native front tracking: reaction front position and velocity predicted automatically
K-Flash updates material properties continuously as chemistry evolves during simulation
Native ablation module: mass loss and recession computed from coupled heat+chemistry
K-Flash detects runaway onset automatically and reports critical threshold
1-3 days (event type library + material database; configure and run)
Multi-Damage-Mode Simulation, Proven Across Material Classes
Accuracy
95%
CNPC HPHT validated
Tests
80,000+
Multi-mode lab data
Damage modes
6
In one unified model
Material classes
3
NR, NBR, Silicone/SBR
K-Flash Across Industries
Aerospace & Space
Events: Ablation, frontal polymerization, rapid degradation
Re-entry TPS survival, rocket nozzle liner ablation, composite cure on aerospace tooling. K-Flash validates TPS designs without destructive arc-jet testing.
Defense
Events: Pyrolysis, ablation, thermal runaway
Armor insulation survivability post-blast, directed energy protection, energetic material encapsulant behavior under rapid heat exposure. DOD Space Force validated.
Nuclear
Events: Rapid thermal degradation, pyrolysis
Cable and seal response during LOCA (Loss of Coolant Accident) rapid temperature transients. Insulation pyrolysis onset prediction for safety case justification.
Coupled Physics -- Peer-Reviewed Foundation
INTEGRATIONS
K-Flash is built on the same validated coupled-physics framework as the broader ElastoSure platform, extended to the fast-transient regime. The underlying reaction-transport-mechanics coupling has been validated across polymer material classes.
Related validated publications (ElastoSure platform foundation):
Ghaderi, Nouri, Dargazany et al. (2026). Macromolecular Theory and Simulations, 35(1), e00044. Coupled multi-physics polymer degradation model validated at 95% accuracy.
Compatible
Developer access
Compatible
Built-in