National Aeronautics and Space Administration www.nasa.gov Demonstration of Hybrid Multilayer Insulation for Fixed Thickness Applications 2015 Cryogenic.

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National Aeronautics and Space Administration Demonstration of Hybrid Multilayer Insulation for Fixed Thickness Applications 2015 Cryogenic Engineering Conference Tucson, AZ Wesley Johnson GRC/LTF James Fesmire KSC/NE-F6 Wayne Heckle KSC/Team ESC/Sierra Lobo

National Aeronautics and Space Administration Background Recent testing has shown a benefit to variable density multilayer insulation. LB-MLI and IMLI provide a layer density of ~5 layer/cm, well below what is possible in traditional lay-ups. Combining LB-MLI with a traditionally made blanket (similar to RBO II and VATA II) may produce a blanket with better performance. –Theoretical improvement of ~30% over all traditional MLI and ~20% over all LB-MLI Originally planned to occur under CPST payload, but delayed due to cancellation.

National Aeronautics and Space Administration Test Purpose and Objectives Test Purpose –Determine the design space surrounding hybrid MLI with a foam substrate. –Gain more experience with LB-MLI. Test Objectives –Understand the thickness trade between traditional MLI and LB-MLI. –Complete performance testing of a flight like insulation specimen. –Increase the understanding of LB-MLI by increasing the amount of thermal test data on it.

National Aeronautics and Space Administration Test Article Configuration SOFI/Cryolite Load Bearing MLI Traditional MLI

National Aeronautics and Space Administration Theory Model Definitions & Assumptions: tMLI: New Equation (based off of Lockheed and Modified Lockheed) Accounts for Dacron netting (Modified Lockheed) Accounts for perforation pattern (Lockheed) LB-MLI: Layer by layer approach using discrete spacer locations Integration: Solve for constant heat flux Vary interface temperature Variables: Warm Boundary (293 K) Cold Boundary (78 K) Vacuum Pressure (1 x Torr)

National Aeronautics and Space Administration Test Approach SOFI sprayed at MSFC and shipped to KSC –Target thickness half inch Procure 4 LB-MLI blankets from Quest through Phase III SBIR –12, 14, 16, and 20 layers –ID designed for half inch SOFI substrate Make tMLI blankets in house –Perforated double aluminized mylar –Dacron netting

National Aeronautics and Space Administration Test Matrix Test Series Substrate Material Substrate Thickness (mm) # layers, LB-MLI # layers, tMLI Layer Density, tMLI (layers/mm) MLI Total Thickness (mm) WBT (K) A174None A175None A181None , 325 A182None , 325 A183SOFI , 325 A184CryoLite , 325 A185CryoLite A187CryoLite , 325 A188CryoLite , 325 A189CryoLite , 325 A190SOFI , 325

National Aeronautics and Space Administration Coupon Geometries

National Aeronautics and Space Administration Installation

National Aeronautics and Space Administration TEST DATA AND RESULTS

National Aeronautics and Space Administration Results WBT = 293 K WBT = 325 K

National Aeronautics and Space Administration LB-MLI Performance

National Aeronautics and Space Administration tMLI Performance

National Aeronautics and Space Administration Heat Flux vs LB-MLI layers Constant thickness ~ 38 mm (1.5 inches) Data from A139 (60 layers tMLI) and A142 (20 layers LB-MLI) for 0 and 20 layer LB-MLI

National Aeronautics and Space Administration Mass Comparison

National Aeronautics and Space Administration Conclusions Testing completed on hybrid MLI blankets between 293 K and 78 K. –Substrate (SOFI or CryoLite) on the cold side –Load Bearing MLI in middle –Traditional MLI on warm side Issues –Vacuum systems – were resolved and testing repeated –Constant layer density tMLI Noticed that performance tailed off with blanket reuse –LB-MLI had higher heat flux than expected Varied between 1.5 and 2.5 times expected Had discussions with vendor Heat fluxes greater than expected –Due to degradation of traditional MLI over time –Tests A174 and A175 showed sensitivity of blankets about as expected with similar results System mass density decreased with increasing LB-MLI layers –Lower layer density of LB-MLI Demonstrates the sensitivities in optimizing a blanket design, even just for building on a calorimeter