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RISDifferentiable Neural Operator for Temperature Field Prediction for Aerogel Thermal Insulation Materials at Large Temperature Differentials
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Abstract. To address the extreme aerodynamic heating challenges encountered by the leading edges of hypersonic vehicles, this study develops an aerogel-based thermal insulation material with engineering applicability. It ...
Physics-Informed Deep Operator Network for Sparse-Sensor Reconstruction of Aerogel Insulator's Overall Temperature Field Under Time-Varying Aerodynamic Heating Loads
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Abstract. Investigating the thermal insulation properties of SiO2 aerogels under large temperature differences is crucial for the development of thermal protection materials in hypersonic vehicles. Thus, a porous medium ...