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Meeting 2025 TMS Annual Meeting & Exhibition
Symposium Materials Aging and Compatibility: Experimental and Computational Approaches to Enable Lifetime Predictions
Presentation Title Accelerated Aging and Lifetime Performance Predictions of Silicone Cushions Under Compression
Author(s) Karly Knox, Hannah Eshelman, Nancy Merino, Maira Ceron, Patrick Campbell
On-Site Speaker (Planned) Karly Knox
Abstract Scope Additively manufactured (AM) silicone foams are customizable and durable materials for cushion applications. Understanding mechanical aging of AM silicones is vital for ensuring safety over their lifetime in use. We aged AM silicones (specifically PDMS-co-PDPS) under compression at various temperatures and measured their compression set and load retention to develop time temperature superposition (TTS) curves used to estimate material performance over its lifetime. For thicker samples (>5 mm), the aging isotherms generated a clear TTS master curve. However, for thin samples (<1 mm), we observed scatter in the data, which prevented accurate lifetime predictions. New insights allowed us to develop an improved methodology for aging and measuring these materials’ mechanical properties and reducing error, resulting in more accurate results and an improved TTS curve. This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344. IM # LLNL-ABS-866710
Proceedings Inclusion? Planned:
Keywords Additive Manufacturing, Polymers, Mechanical Properties

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

A Mean-field Approach for High-temperature Shape Memory Alloys
Accelerated Aging and Lifetime Performance Predictions of Silicone Cushions Under Compression
Accelerated aging of aluminum alloys for long-term predictions of corrosion under atmospheric conditions of temperature and relative humidity
Accelerated oxidation of epoxy thermosets with increased O2 pressure
Accelerating Compatibility Assessments through Adoption of Selected-Ion Flow-Tube Mass Spectrometry (SIFT-MS)
Accelerating Computational Calculations of Galvanic Corrosion using Machine Learning
Bimodal Microstructure Modeling due to Non-Isothermal Loading in Ni-based Single-crystal Superalloys via Phase-field Method
Characterization of localized oxidation in tantalum and cracking susceptibility at high temperatures using Auger Electron Spectroscopy
Characterization of Long Term Service Effect on Turbine Blade Alloy
Environmentally assisted corrosion testing of 7xxx series aluminum to create an SCC susceptibility profile for temperature, humidity, and stress through accelerated testing.
High-throughput Creep Characterization for Use in Accelerated Aging Prediction
Impacts of aging additively manufactured silicone polymers in the presence of organic solvents
Kinetic assessments of TATB formulations after mild thermal aging
Materials Compatibility Testing and Assessment for Materials Reliability
Mechanical Performance, Aging, and Compatibility of Additive Manufactured Silicone Elastomers
Modeling Corrosion: Efficient Models and Validation for Long Term Degradation
Predicting compatibility and aging at the system-level with a Reaction, Sorption, Transport, and chemo-mechanics (ReSorT-M) model
Predicting Electrochemical Responses Using Machine Learning
Predicting Photo-Oxidative Embrittlement of a Semicrystalline Thermoplastic from Micromechanical Damage
Probing Bulk Mechanical Properties of Silicones Over the Course of Long-term Compressive Strain
Research on Shape Optimization of Work Roll in Hot Rolling
Strain-Controlled High-Cycle Fatigue of Aged Solder Joints for High-Reliability Environments
Towards High Throughput Materials Advancement: Thinking About Database Management in Our Studying-Polymers-on-a-Chip (SPOC) Platform

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