Rheological Properties of Solid Rocket Propellants Based on Machine Learning
To accurately depict the strong nonlinear relationship between the viscosity of propellant slurry and shear rate, premix time, and temperature, and to improve the prediction accuracy, based on the sample preparation and exper... | Find, read and cite all the research you need on Tech Science Press
Authors
- Jianjun Li (ORCID: https://orcid.org/0000-0002-3569-8803)
- Minghai Zheng (ORCID: https://orcid.org/0009-0004-9966-1294)
- Jiang Liu (ORCID: https://orcid.org/0000-0003-0692-7109)
- Zhaoxia Cui
Publication Details
- Journal
- Computer Modeling in Engineering & Sciences
- Published
- 2025-01-01
- DOI
- https://doi.org/10.32604/cmes.2025.071913
- Primary Topic
- Rocket and propulsion systems research
- Type
- article
- Field-Weighted Citation Impact
- 0.00