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Completed TRL 4 (started at 2, targeting 4)
The long-term goal of the Advanced Ablators task involves the development of novel ablative TPS materials for extremely challenging (e.g. high heat load) proposed future missions. Previous development work on conformal ablators resulted in the Conformal 1 ablator that demonstrated superior integrated heat load capability compared to SoA PICA at comparable bulk density, however, surface recession rates were significantly higher due to excessive loss of poorly interlocked fibers. The degree of interlocking will be improved through the use of commercially available needling capability. Establishing a needled felt capability and the development of polymer resins with improved performance compared to phenolic resin also has the potential to benefit woven ablators capability This task has three objectives:
The effort will offer ablative TPS material solutions as well as supporting analysis tools for far-term NASA missions in context with relevant heating environment. This involves maturing existing families of resin materials that have demonstrated the potential for improved system performance compared to the current state-of-the-art.
The task will have an experimental element and a modeling element. The efforts under the task will be coordinated with other groups and NASA centers (ARC, GRC, JSC, LaRC).
Experimental element
The work outlined in this task allows for the fundamental tailoring of TPS properties for a variety of entry environments while also providing appropriate balance between integrated heat load resistance and ablation recession. Specific ablative resins that will be considered include phenolic and polyimide.
Modeling element
Modeling will focus on improving the processing and properties of ablative composites by building chemically accurate models of crosslinked polymer networks, evaluate their mechanical/thermal properties and develop design strategies to improve strength, toughness, etc. of the resin (additives, etc). Establishment of solvent-resin interaction models will aid TPS infiltration and processing for better control of resin morphology and resulting TPS density. The modeling effort includes two primary activities:
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