K-load digital twin: predictive software for aged polymer performance
K-Load is a physics-informed AI platform that predicts and optimizes the service-life of polymers by integrating degradation physics with machine learning. Validated in aerospace and energy, it's ready for food and nutrition applications, reducing data needs and enhancing accuracy.
Overview
K-Load is an innovative digital twin software developed by Karax LLC that leverages a physics-informed AI platform to predict and optimize the service-life of aged polymers. Unlike traditional data-driven models, K-Load incorporates degradation physics, such as oxidation and moisture migration, into its machine learning algorithms. This approach significantly reduces the need for large datasets while enhancing predictive accuracy. Initially validated in the aerospace and energy sectors, K-Load is now poised to be adapted for food and nutrition applications, offering rapid adjustments using proprietary datasets.
Technical specifications
Key features:
- Physics-informed AI integrates oxidation and moisture migration mechanisms
- Models loss of barrier properties including temperature, humidity, and gas permeability
- Provides realistic simulations for formulation, processing, and storage conditions
- Delivers immediate shelf-life predictions and compound optimization recommendations
- Validated across aerospace and energy sectors, transferable to food and nutrition
Development process:
- Design of Experiment & Data Acquisition: Tailored experiments minimize testing while collecting essential data.
- Data Verification & Consistency: Ensures reliable predictions by standardizing variables and removing outliers.
- Hybrid Model Training: Combines expert knowledge with degradation data to develop accurate models.
- Simulation, Validation & Deployment: Simulates shelf life and validates models under varied conditions.
Technology readiness level
K-Load has reached a Technology Readiness Level (TRL) of 8, indicating that the system has been thoroughly validated in relevant environments and is ready for deployment across new sectors, such as food and nutrition.
About Karax LLC
Karax LLC is a research and technology company founded in 2019 that specializes in developing computational tools and software for simulating the aging and degradation of polymeric materials. The company utilizes its K-Suite software, which integrates physics-based constitutive models with machine learning engines to predict the remaining useful life of materials, simulate multi-stressor damage, and qualify materials in significantly less time than traditional testing methods. By combining computational mechanics and material science, Karax provides digital twinning technologies that address reliability concerns for materials used in extreme environments.
These solutions are vital for industries that require high-reliability materials, such as defense, aerospace, and nuclear energy. Karax has collaborated on various projects funded by agencies including the Department of Energy, the U.S. Air Force, and the U.S. Navy, developing applications like K-Fail for digital twinning in space and K-Load for monitoring aged cable insulation. By replacing costly, long-term legacy aging tests with advanced AI-driven simulations, the company helps organizations maximize material performance and security while reducing the resources typically required for material qualification and condition monitoring.
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