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Biomedical Polymer Aging Simulation for Hydrogels, Silicones & Implants

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Research-Grade Accuracy

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ISO 10993 / ASTM F1980 Aligned

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Karax Elastosure

Hydrogel, Silicone & PLGA Modeling

FDA 510(k) / PMA Submission Support

10-Year Implant Life in 35 Days

Validation — Research-Grade Accuracy

K-Load achieves 95% improvement in 5-year degradation prediction accuracy over standard Arrhenius extrapolation across polymer systems. In electronic packaging applications, the hygrothermal aging module's predictions for epoxy-based encapsulant systems align with published IMAPS and IEEE ECTC accelerated aging data across multiple Tg ranges and filler loadings.

The Biomedical Polymer Durability Challenge

Implantable and drug delivery polymer systems operate in the most chemically aggressive biological environment imaginable. Physiological temperature (37°C), continuous fluid immersion, enzymatic activity, cyclic mechanical loading, and reactive oxygen species (ROS) act simultaneously on polymer biomaterials for months, years, or decades.

 

The consequences of polymer failure in biomedical applications are not a warranty claim. They are a device recall, an adverse event report, and in the worst cases, patient harm.

 

NuSil MED-4850 and Lubrizol NuSil Q7-4840 silicone implants experience oxidative degradation in inflammatory microenvironments and fatigue cracking under cyclic mechanical loading; physical durability testing at room temperature tells you almost nothing about what happens inside a patient at 37°C under ROS conditions

Evonik RESOMER R 202 H (PLGA) and PCL drug delivery scaffolds degrade through hydrolysis — and the degradation rate determines drug release kinetics; if the model is wrong, the therapeutic window is wrong

Lubrizol Pellethane 2363-80AE polyurethane tubing and catheters undergo hydrolytic stress cracking in physiological fluid environments at rates that vary dramatically with flow conditions and fluid chemistry

Rogers Corporation BISCO HT-800 silicone in class III devices must maintain mechanical properties under sustained load and physiological oxidative exposure for 10+ years

 

Regulatory pathways — FDA 510(k), PMA, CE Mark under EU MDR — require evidence of device performance over labeled service life. Standard ASTM F1980 accelerated aging applies Q10 factors to elevated-temperature oven tests. For polymers whose degradation is not purely Arrhenius-driven — hydrolysis-dominated PLGA, oxidative crosslinking in silicone, enzyme-catalyzed chain scission — Q10 extrapolation introduces systematic error in the direction regulators cannot see.​

Standards Compatibility
ASTM F1980 (accelerated aging of sterile medical device packages — applicable to polymer life prediction), ISO 10993-13 (identification and quantification of degradation products from polymeric medical devices), ISO 10993-18 (chemical characterization of medical device materials), ASTM F2102 (guide for evaluating oxidation in UHMWPE), ISO 5834 (UHMWPE for surgical implants), FDA Guidance: ISO 10993-1 (biological evaluation of medical devices).
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How ElastoSure Solves Spacecraft Material Degradation

Hygrothermal Aging

Battery pack environments combine elevated temperature (up to 65°C sustained in hot climates) with humidity ingress through door gaskets and conduit penetrations. K-Load models moisture permeability increase in pouch cell laminate seals and enclosure O-ring systems, predicting when moisture ingress rates will compromise electrolyte chemistry.

Thermal Fatigue from Charge/Discharge Cycling

HV cable XLPE and silicone insulation near cell module heating elements experiences thermal oxidation through repeated temperature cycling. K-Load models property loss in Belden XLPE and Prysmian silicone insulation over 2,000–5,000 charge cycles at your vehicle's typical thermal profile.​​

Vibration Fatigue in Adhesive Joints

Cell module adhesive bonds experience road vibration transmitted through the chassis. K-Load models interfacial crack initiation and shear strength loss in Henkel LOCTITE EA 9466, 3M DP-490, and Dow BETAMATE adhesive joints under combined thermal and vibrational loading — not as sequential tests, but as the simultaneous compound condition the vehicle actually creates.​

TIM Creep

Bergquist GP3000S and Shin-Etsu X-37-3080 pads under sustained compression between cells and cooling plates creep and relax over time. K-Load predicts the contact pressure loss curve, and therefore the thermal resistance increase, that will drive cell temperature rise in year 7 of service.

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What You Get

Regulatory-aligned life prediction report — service life prediction structured to support ASTM F1980 equivalence arguments in FDA 510(k) or PMA submissions; comparison of K-Load physics-based prediction vs. Q10 Arrhenius extrapolation included
Degradation mechanism profile — hydrolysis vs. oxidation vs. fatigue contribution ranked by mechanism over time
Drug release profile prediction — for degradable drug delivery matrices: how drug release rate shifts as a function of PLGA/PLA degradation state
ASTM F1980-compatible accelerated test protocol — K-Suite designs the minimum 35-day accelerated test that generates calibration data for K-Load, then K-Load does the rest
Clinical follow-up alignment — if you have in vivo retrieval or clinical follow-up measurements, K-Suite calibrates to this data and extends predictions to the full device lifetime

Biomedical Applications

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PLGA / PLA Resorbable Device Life

Model Evonik RESOMER R 202 H molecular weight decline, Corbion PURASORB strength loss, and mass loss in PLGA screws, suture anchors, and drug delivery scaffolds. Predict resorption time and the mechanical support window for resorbable fixation devices.

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Predict fatigue crack initiation in NuSil MED-4850 and Rogers BISCO HT-800 silicone elastomer shells under cyclic mechanical loading in oxidative biological environment. Support FDA PMA submissions with physics-based service life prediction data, replacing Q10 extrapolation with mechanistic degradation models.

Image by Brett Jordan

Model degradation rate and drug release profile evolution for PEG-based, HA-derivative, and GelMA hydrogels under in vivo physiological pH, temperature, and ionic conditions. Predict when the therapeutic drug release window shifts beyond the intended range.​

Frequently Asked Questions

Start Predicting, Stop Guessing

  • Determine your polymer's full service life before prototyping

  • Upload your material card to get the results within 24 hours

  • Backed by 80,000+ validated tests


        30-day free trial, no credit card, no FEA expertise required

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