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Polymer Simulation Extreme Environments

By Dr. Roozbeh Dargazany, Ph.D., Michigan State University  |  2nd most-cited author in rubber aging globally

Polymers fail fastest where it matters most — HPHT wells, nuclear reactors, and space electronics. Traditional Arrhenius-based methods cannot model multi-stressor environments (thermal + radiation + pressure simultaneously), leading to costly overdesign or catastrophic failure.

K-Extreme enables polymer simulation in extreme environments using AI-driven digital twins trained on 80,000+ aging tests, delivering accurate survivability predictions in days—not months.

TRUSTED BY GLOBAL LEADERS

CNPC

PNNL

MIT Lincoln Lab

U.S. Space Force

Sandia National Labs

K-SUITE PRODUCTS POWERING K-EXTREME

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FORMULATION OPTIMIZATION

polymer formulation optimization software​

• Test 10× fewer compounds
• Compress 18-month cycles to days
• Accelerated aging test replacement​

FREE 30-DAY TRIAL ➤
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DAMAGE ACCUMULATION

polymer damage accumulation simulation
•  Thermal + mechanical + radiation + moisture
•  Aerospace & naval elastomer durability
•  DOD Space Force validated

FREE 30-DAY TRIAL ➤
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CABLE INSULATION AGING

cable insulation aging prediction software
•  FDR/NDE diagnostic digital twin
•  Nuclear cable condition monitoring
•  DOE SBIR / PNNL collaboration

FREE 30-DAY TRIAL ➤

Polymer Simulation Extreme Environments

Every industy faces unique, constantly evolving challenges. K- Suite delivers the expertise, capabilities and tools to transform the design and production processes of industries.

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Aerospace

Predict elastomer durability under extreme thermal + mechanical stress. DOD Space Force validated.

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Space Electronics

Polymer aging under radiation and vacuum. K-Extreme covers space-grade and PEM applications.

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Nuclear

Cable insulation remaining life prediction. FDR/NDE digital twin via K-Sense. DOE SBIR funded.

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EV & Energy

Battery seal and insulation durability. Multi-stressor simulation: heat, vibration, moisture.

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Oil & Gas

HPHT downhole seal performance. CNPC-validated. 35-day prediction vs. 6-month test.

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

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K-Suite vs. traditional test

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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.”

Dargazany et al., Rubber Chemistry and Technology — physics-informed modeling of elastomer aging under multi-field loading.

Case Studies

Download our case studies here

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View Case Study 1

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.

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Let’s Get Started

If you're facing engineering challenges, our team is here to assist. With a wealth of experience and a commitment to innovation, we invite you to reach out to us. Let's collaborate to turn your engineering obstacles into opportunities for growth and success. Contact us today to start the conversation.

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K-Extreme Polymer Software

Loss of performance (thermal or mechanical performance) due to extreme environmental loading.

K-Extreme : Machine-learned survivability estimation.

Summary: K-Extreme is a machine-learned engine that provides conservative estimates of survivability by calculating the minimum damage capacity needed to survive single-event effects (SEE) such as: loss-of-coolant accidents in nuclear reactors, solar flares for space applications and nuclear detonation simulations for strategic defense applications. K-Extreme then takes into account the available data on different SEE and uses them to predict survivability in case of a new SEE.

Case Studies

Download our case studies here

  1. Polymer degradation 

  1. Polymer aging prediction 

  1. Polymer durability 

  1. Polymer life prediction 

  1. Polymer performance degradation 

  1. Polymer material aging 

  1. Polymer part life cycle 

  1. Polymer component degradation 

  1. Polymer part aging 

  1. Polymer part life prediction 

Brochures

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