Prediction of Propellant Electrostatic Sensitivity Based on Small-Sample Machine Learning Models

Prediction of Propellant Electrostatic Sensitivity Based on Small-Sample Machine Learning Models

Hydroxyl-terminated-polybutadiene (HTPB)-based composite solid propellants are extensively used in aerospace and defense applications due to their high energy density, thermal stability, and processability. However, the presence of highly sensitive energetic components in their formulations leads to...

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Bibliographic Details
Main Authors: Fei Wang, Kai Cui, Jinxiang Liu, Wenhai He, Qiuyu Zhang, Weihai Zhang, Tianshuai Wang
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Aerospace
Subjects:
hydroxyl-terminated polybutadiene solid propellants
static sensitivity
machine learning
Online Access:https://www.mdpi.com/2226-4310/12/7/622
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