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Polymer Thermal Degradation Simulation

Beyond Arrhenius, Into the Real Degradation Zone

Thermal degradation is a major cause of polymer aging failure. ElastoSure K-Load models Diffusion-Limited Oxidation (DLO) by coupling oxygen diffusion, oxidation, and temperature. K-Flash handles fast thermal events, while K-Fail converts degradation into remaining service life.

Image by Jakub Żerdzicki

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What Is Polymer Thermal Degradation?

Polymer thermal degradation follows oxidation chain reactions involving initiation, propagation, and termination. In the Arrhenius regime, reaction rate increases exponentially with temperature.

The DLO crossover temperature varies by polymer: NBR 90–110°C, EPDM 120–140°C, FEPM higher. ElastoSure K-Load uses a full coupled reaction-diffusion model, rather than the Arrhenius shortcut.

In thick parts, Diffusion-Limited Oxidation (DLO) creates an oxygen gradient from surface to core, causing rapid surface oxidation and slower core degradation. This produces a heterogeneous property distribution that surface tests cannot capture.

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How ElastoSure by Karax Predicts Polymer Thermal Degradation

K-Extreme

HPHT Survivability Index

K-Fail

Cable end-of-life prediction

K-Load

Multi-stressor cable aging

What You Get From ElastoSure for Polymer Thermal Degradation

Output

DLO oxidation gradient

What It Tells You

Oxygen concentration and oxidation state through the full thickness at any time

Decision Enabled

Explain why field parts fail faster than thin coupon tests predict -- and quantify the factor

Property profile (through thickness)

Tensile strength, hardness, elongation-at-break as a function of depth at any time

Design minimum wall thickness and surface protection to keep worst-zone properties within spec

Thermal degradation rate
map

How fast each zone of the part is degrading under its local oxygen and temperature conditions

Identify the controlling failure zone -- it is rarely where engineers assume

Arrhenius error factor

Quantified over-prediction of service life from standard Arrhenius extrapolation vs. DLO model

Justify why a higher safety factor or shorter maintenance interval is needed

Remaining Useful Life (RUL)

Service life accounting for DLO gradient and worst-zone degradation

Set inspection intervals and replacement schedules from physics, not from tables

Who Uses This

Image by Raff Liu

Oil & Gas

HPHT downhole seals (150–200°C) — DLO aging model & elastomer validation

Explore Oil & Gas

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Nuclear

Cable insulation & rubber seals — DLO predicts end-of-life performance

Explore Nuclear

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Aerospace

Engine bay elastomers, high-temperature gaskets & thermal protection polymers

Explore Aerospace

ElastoSure in Action

Case Study

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CFRP Moisture Aging

Moisture absorption and Tg degradation prediction with coupon test validation.

View Case Study 

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Wind Turbine Blade Aging

20-year prediction of fatigue damage and UV surface oxidation.

View Case Study 

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