Indentation Method for Solid Rocket Motor Grain Material Mechanical Properties Testing

ABSTRACT To address the issue that existing testing methods cannot achieve precise in situ characterization of the mechanical parameters of solid rocket motor grain materials, this work, based on the elastic contact theory, combines the generalized Maxwell model for viscoelastic materials to derive and establish the theoretical indentation model for the relaxation characteristics of propellant. Through a coordinated analysis of indentation relaxation testing and finite element simulations at different constant indentation depths, the applicability of the theoretical indentation model was studied. The results indicate that the relaxation modulus is highly consistent at different indentation depths, but there is a certain deviation between the indentation load–time simulation curve and the testing curve. This deviation increases as the constant indentation depth increases. Based on this, the causes of the theoretical indentation model error were analyzed, a correction method for the theoretical indentation model was proposed, and the modified theoretical indentation model was validated through a comparison of simulation and testing data. The theoretical indentation model provides a new method for the mechanical property testing and evaluation of solid rocket motor grain materials.

Authors

Institutions

Publication Details

Journal
Propellants Explosives Pyrotechnics
Published
2025-11-14
DOI
https://doi.org/10.1002/prep.70073
Primary Topic
Energetic Materials and Combustion
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Indentation Method for Solid Rocket Motor Grain Material Mechanical Properties Testing

Zhenhang Ling, Zijian Fan, Peng Yu, Kunlin Zhou
Propellants Explosives Pyrotechnics
Energetic Materials and Combustion
article

Indentation Method for Solid Rocket Motor Grain Material Mechanical Properties Testing

Zhenhang Ling, Zijian Fan, Peng Yu, Kunlin Zhou
article en

Abstract

ABSTRACT To address the issue that existing testing methods cannot achieve precise in situ characterization of the mechanical parameters of solid rocket motor grain materials, this work, based on the elastic contact theory, combines the generalized Maxwell model for viscoelastic materials to derive and establish the theoretical indentation model for the relaxation characteristics of propellant. Through a coordinated analysis of indentation relaxation testing and finite element simulations at different constant indentation depths, the applicability of the theoretical indentation model was studied. The results indicate that the relaxation modulus is highly consistent at different indentation depths, but there is a certain deviation between the indentation load–time simulation curve and the testing curve. This deviation increases as the constant indentation depth increases. Based on this, the causes of the theoretical indentation model error were analyzed, a correction method for the theoretical indentation model was proposed, and the modified theoretical indentation model was validated through a comparison of simulation and testing data. The theoretical indentation model provides a new method for the mechanical property testing and evaluation of solid rocket motor grain materials.

Propellants Explosives PyrotechnicsVol. 51(1)
New York State Department of Transportation (US), National University of Defense Technology (CN)
National University of Defense Technology
Openalex Percentile: Top 61%
Energetic Materials and Combustion
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.