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K-Suite: Complete Polymer Aging Prediction Software
K-LOAD
Mechanical Simulation after Aging+Fatigue
Predict long-term mechanical performance of polymers, rubbers, plastics, and composites.
- Simultaneous effect of multiple damages
- Simulate fatigue, corrosion and aging with thermal, radiation, moisture, chemicals
- Predict stiffness, strength, & deformation
- Reduce qualification testing by up to 80%
K-EXTREME
Predict Behavior at EXTREME Events
Predict property loss, and survivability of polymers, composites, rubbers exposed to extreme environments.
HPHT wells and geothermal systems
Fire, explosion, and thermal events
Post-event durability assessment
Survivability Index™ prediction
K-FAIL
Failure Prediction & Remaining Useful Life
Predict when materials and components will fail in real operating environments.
Forecast remaining useful life (RUL)
Predict strength, elongation, and failure properties
Extrapolate accelerated test results to field conditions
Support maintenance & risk-based decisions
K-Flash
Rapid Event & Ultra-Fast Reaction Simulation
Model fast material transformations that occur in seconds rather than years.
Frontal polymerization simulation
Pyrolysis and thermal decomposition
Ablation and thermal protection systems
Reactive material and curing processes
Temperature gradient through material
K-SENSE
Condition monitoring by RGB/IR Images
Assess material condition using RGB, IR, spectral, and sensor data.
Remote aging assessment from images
Predicting aging condition
Remote condition monitoring of polymers
Non-contact material characterization
Supports predictive maintenance programs
K-NDE
Ultrasonic Inspection & Digital NDE
Transform Ultrasonic measurements into aging assessment & remaining useful life.
FDR and TDR signal interpretation
Ultrasonic inspection analytics
Cable aging and degradation assessment
Remaining useful life prediction
Polymer Aging & Durability Simulation Software, Validated by Real-World Data
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CNPC oil-well sealant trials
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Lab measurements validated
K-Suite vs. traditional test
vs. Arrhenius-only methods
“In CNPC oil-well trials, K-Suite predicted 5-year sealant degradation with 95% accuracy — replacing a 6-month/$180K physical test.”
Scientific basis: Dargazany et al., “A network evolution model for the anisotropic Mullins effect in carbon black filled rubbers,” International Journal of Solids and Structures, 2012.
The Space Materials Problem
Spacecraft materials operate under a set of simultaneous stressors that no physical test protocol on earth can fully replicate:
Hard vacuum — outgassing strips plasticizers from DuPont Kapton polyimide tapes, Dow Corning RTV 566 sealant, and cable jacket materials; dimensional change compromises sealing and optical alignment
Ionizing radiation — Van Allen belt proton and electron flux causes chain scission in DuPont Vespel SP-1 structural parts, Chemours Teflon PTFE cable insulation, and epoxy PCB encapsulants; total ionizing dose (TID) models from SPENVIS or AE8/AP8 predict the dose profile, but not what it does to the material over 10 years
Thermal cycling — LEO satellites experience -180°C to +150°C swings every 90 minutes; a silicone bond that passes thermal shock testing at beginning-of-life may fracture at year 7 under accumulated fatigue
Atomic oxygen erosion — in LEO below 700km, atomic oxygen erodes exposed polymer surfaces at rates that depend on material reactivity, orbit inclination, and solar cycle activity
Launch vibration and acoustic loading — structural adhesives and potting compounds that survive qualification vibration testing degrade differently when vibration combines with radiation history
How K-Suite Solves Spacecraft Material Degradation
Vacuum & Space Aging
K-Load models outgassing-driven property loss in DuPont Kapton HN polyimide, Dow Corning RTV silicones, and thermoplastic cable jacketing materials. Plasticizer migration under vacuum, dimensional instability, and optical property drift are modeled as functions of vacuum level, temperature, and time.
Radiation Aging
Input your mission orbit's TID profile (from SPENVIS, OMERE, or AE8/AP8 data) and receive predicted tensile, elongation, and dielectric property degradation in DuPont Vespel SP-1, Chemours Teflon PTFE, silicone elastomers, and epoxy-based encapsulants over mission life. The model runs dose-rate-corrected kinetics — not simple linear dose extrapolation.
Combined Thermal + Radiation
The synergistic combination is the actual space condition: thermal cycling and radiation exposure happen simultaneously in orbit. K-Load models the coupled degradation pathways — which produce faster property loss than either stressor modeled alone, consistent with published accelerated aging data on spacecraft polymer systems.
What K-Load Does
K-Load is a physics-informed digital twin for polymer aging. It combines:
- 15+ years of MSU degradation research encoded into machine-learning models
- Multi-stressor simulation — thermal, oxidative, hydrolytic, radiation, and mechanical degradation running simultaneously
- 80,000+ aging test data points spanning 200+ materials as the validation backbone
Upload your material's mechanical data. Define the service environment. K-Load returns a predicted degradation curve — stress, stiffness, elongation, failure — over your target service life.
Frequently Asked Questions
Q - What types of polymer can K-Load model?
A - K-Load is validated for filled and unfilled elastomers (EPDM, NBR, NR, SBR, silicone, polyurethane, neoprene), adhesives, composite matrices, and cable insulation polymers including XLPE and EPR. The calibration workflow accepts standard tensile and DMA test data.
Q - How is K-Load different from Arrhenius-based accelerated aging?
A - Arrhenius assumes a single degradation mechanism driven only by temperature. K-Load models up to five simultaneous mechanisms — thermal, oxidative, hydrolytic, radiation, and mechanical — with their physical interactions. For multi-stressor environments, K-Load is 5–10× more accurate than Arrhenius extrapolation.
Q - How long does a K-Load simulation take?
A - Most single-mechanism simulations complete in under 24 hours. Multi-stressor runs across a full service life (5–20 years) typically return results within 24–48 hours. Physical testing of equivalent scope takes 6–18 months.
Q - Does K-Load export to ABAQUS or ANSYS?
A - Yes. K-Load outputs degraded material parameters in a format compatible with ABAQUS material card update and ANSYS Engineering Data. See → /k-load/fem-integration for the full workflow.
Accelerating the Digital Transformation of Industry with Simulation
Every industy faces unique, constantly evolving challenges. K- Suite delivers the expertise, capabilities and tools to transform the design and production processes of industries.
Oil & Gas
Predict seal and elastomer performance in HPHT downhole environments.
Electric Vehicles & Batteries
Simulate aging of battery insulation, adhesives, and thermal interface materials.
Works with Your Existing Engineering Stack
ANSYS Marketplace
Coming Q3 2026
MSC Software
Compatible
Abaqus / FEA
Compatible
Python / REST API
Developer access
Start your 30-day free trial.
No credit card. No commitment. Replace your next aging test with a digital twin.
