Aerospace Science and Technology

these are the codes used to generate in the paper. Two matlab codes for airfoil parameterization and to call on ansys.Gambit and FLUENT to do CFD analysis automatically.

Mode I and II interlaminar fracture toughness through-thickness and in-plane electrical conductivity

This is the source code for the manuscript: Performance comparison of representative model-based fault reconstruction algorithms for aircraft sensor fault detection and diagnosis The file contains NDO, SMC, IOTSEKF and ATSEKF for aircraft sensor FDD.

The “Supplementary Data” folder contains the main content and results of this study. It can be divided into three parts as follows. 1) “Simulation Model and Initial Conditions” folder: It contains the attitude tracking model “A1_RCISFS.slx” of the microsatellite SSS-1P in Matlab/Simulink environment, the initial conditions “A1_RCISFS_Init.m” in Case 1 and the initial conditions “B1_Sin_Case.m” in Case 2. 2) “Data and Figure of Case1” folder: It contains the main simulation data and results in Case 1. There are seven files in matrix format which can be opened by software matlab. They are the original data from simulations which are essential for drawing. The “Figure.m” file is the drawing program in software matlab. 3) “Data and Figure of Case2” folder: It contains the main simulation data and results in Case 2. There are eight files in matrix format which can be opened by software matlab. They are the original data from simulations which are essential for drawing. The “Figure.m” file is the drawing program in software matlab.

Radiative heat transfer and evaporative characteristics analysis of a liquid droplet radiator

The experimental code consists data processing and function realization, (1) Data processing. The code of state parameters processing is used for the selection of state parameters standardization of sample processing. The code of label initialization for regression is applied to generate a quantitative degradation value for supervised fine-tuning for the model of regression analysis. The code of PCA use the principal component analysis method to preliminarily evaluate the samples, and roughly distinguish the samples according to the eigenvalues, so as to obtain enough sample labels for reverse fine-tuning of deep learning model. (2) Function realization. The code of regression analysis contains the models of DBN and BP and their regression analysis results. The code of fault classification is used to compare the diagnostic accuracy of DBN, BP and SVM. The code of time series prediction includes the model of LSTM, RNN and GUR. All the related prediction and classification results are also given in the folder.

This manuscript follows an established and robust Systems Engineering process to propose a space mission concept that uses in-situ Low Earth Orbit resources, comprised mostly of N, O, N2, and O2, as propellant.

The data and results may provide guidance for the energy optimization and application of the Z-shaped sun-tracking morphing-wing HALE SPUAVs.

Data base of aircraft noise measurements, noise data simulation.

Comparison results of actuator disk and unsteady simulation method.