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Record W4408265475 · doi:10.1016/j.dt.2025.02.024

FDM - 3D printing of thermoplastic composites with high energetic solids content designed for gun propellants

2025· article· en· W4408265475 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueDefence Technology · 2025
Typearticle
Languageen
FieldEngineering
TopicAdditive Manufacturing and 3D Printing Technologies
Canadian institutionsnot available
FundersHarbourfront CentreUnitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si InovariiMinisterul Cercetării, Inovării şi DigitalizăriiNorth Atlantic Treaty Organization
KeywordsPropellantComposite materialMaterials scienceThermoplasticThermoplastic compositesEngineeringAerospace engineering

Abstract

fetched live from OpenAlex

This study represents an important step forward in the domain of additive manufacturing of energetic materials. It presents the successful formulation and fabrication by 3D printing of gun propellants using Fused Deposition Modeling (FDM) technology, highlighting the immense potential of this innovative approach. The use of FDM additive manufacturing technology to print gun propellants is a significant advancement due to its novel application in this field, which has not been previously reported. Through this study, the potential of FDM 3D-printing in the production of high-performance energetic composites is demonstrated, and also a new standard for manufacturability in this field can be established. The thermoplastic composites developed in this study are characterized by a notably high energetic solids content, comprising 70% hexogen (RDX) and 10% nitrocellulose (NC), which surpasses the conventional limit of 60% energetic solids typically achieved in stereolithography and light-curing 3D printing methods. The primary objective of the study was to optimize the formulation, enhance performance, and establish an equilibrium between printability and propellant efficacy. Among the three energetic formulations developed for 3D printing feedstock, only two were suitable for printing via the FDM technique. Notably, the formulation consisting of 70% RDX, 10% NC, and 20% polycaprolactone (PCL) emerged as the most advantageous option for gun propellants, owing to its exceptional processability, ease of printability, and high energetic performance. • FDM-3D-printed gun propellant formulations with high energetic solids content, while ensuring the printability of the energetic thermoplastic composites, were obtained. • The 3D-printed energetic composites surpass the typical 60 wt.% energetic solids loading limit in gun propellants obtained via stereolithography or light curing 3D printing. • The use of FDM additive manufacturing technology to print gun propellants is a significant advancement due to its novel application in this field, which was not previously reported. • The FDM printing strategy for gun propellants offers both performance enhancement and scalability of the fabrication with practical implications for the defense and security sector.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.267
Threshold uncertainty score0.643

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.210
Teacher spread0.195 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it