Additive manufacturing of ammonium perchlorate composite propellant with high solids loadings

McClain, Monique; Gunduz, I. Emre; Son, Steven F.

doi:10.1016/j.proci.2018.05.052

Cited by 108 publications

(45 citation statements)

References 11 publications

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“…(b) A layout of global morphology parameters (left) and the corresponding GAN-Synµ S. Foreground regions were "painted" with 1 in panel (a) while the background was painted with 0 . www.nature.com/scientificreports/ with the on-going micro-scale additive manufacturing (or micro 3D printing) techniques 13,21,27,66 , the present controlled micro-morphology generation technique can lead to the realization of microstructure-engineered materials, which is being pursued by the authors in ongoing work.…”

Section: Simulations Of Reactive Dynamics In Real and Synthetic Micromentioning

confidence: 99%

Deep learning for synthetic microstructure generation in a materials-by-design framework for heterogeneous energetic materials

Chun

Roy

Nguyen

et al. 2020

Sci Rep

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the sensitivity of heterogeneous energetic (He) materials (propellants, explosives, and pyrotechnics) is critically dependent on their microstructure. initiation of chemical reactions occurs at hot spots due to energy localization at sites of porosities and other defects. emerging multi-scale predictive models of He response to loads account for the physics at the meso-scale, i.e. at the scale of statistically representative clusters of particles and other features in the microstructure. Meso-scale physics is infused in machine-learned closure models informed by resolved meso-scale simulations. Since microstructures are stochastic, ensembles of meso-scale simulations are required to quantify hot spot ignition and growth and to develop models for microstructure-dependent energy deposition rates. We propose utilizing generative adversarial networks (GAn) to spawn ensembles of synthetic heterogeneous energetic material microstructures. the method generates qualitatively and quantitatively realistic microstructures by learning from images of He microstructures. We show that the proposed GAn method also permits the generation of new morphologies, where the porosity distribution can be controlled and spatially manipulated. Such control paves the way for the design of novel microstructures to engineer He materials for targeted performance in a materials-by-design framework.

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Section: Simulations Of Reactive Dynamics In Real and Synthetic Micromentioning

confidence: 99%

Deep learning for synthetic microstructure generation in a materials-by-design framework for heterogeneous energetic materials

Chun

Roy

Nguyen

et al. 2020

Sci Rep

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“…Pyrotech. 2019, 44, 941-969 www.pep.wiley-vch.de technique [124]. No solvents or other additives were used; only the HAUV treatment applied in the nozzle allowed the processing of formulations reaching 69 · 10 3 Pa · s. The curative was added to the syringe, and the optimal time for printing was found to be between 3 and 7 h after introducing the curative before the flow rate was drastically reduced.…”

Section: Progress In Additive Manufacturing Of Energetic Materialsmentioning

confidence: 99%

“…Using this printing procedure, 30 mm caliber rounds were manufactured, from which the propellant charge was then successfully fired. McClain et al [124] also used a combination of the DIW and SLA processes: at first, they printed inks with high contents of solids (AP) and UV-curable polyurethane binder (Illumabond 60-7105) and then cured them under UV light for 30 min. Compared to the cast samples of the same composition, the additively manufactured charges had much lower porosity.…”

Section: Photopolymerization (Laser Stereolithography Digital Light mentioning

confidence: 99%

Progress in Additive Manufacturing of Energetic Materials: Creating the Reactive Microstructures with High Potential of Applications

Muravyev

Моногаров

Schaller

et al. 2019

Propellants Explo Pyrotec

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The modern “energetic‐on‐a‐chip” trend envisages reducing size and cost while increasing safety and maintaining the performance of energetic articles. However, the fabrication of reactive structures at micro‐ and nanoscales remains a challenge due to the spatial limitations of traditional tools and technologies. These mature techniques, such as melt casting or slurry curing, represent the formative approach to design as distinct from the emerging additive manufacturing (3D printing). The present review discusses various methods of additive manufacturing based on their governing principles, robustness, sample throughput, feasible compositions and available geometries. For chemical composition, nanothermites are among the most promising systems due to their high ignition fidelity and energetic performance. Applications of reactive microstructures are highlighted, including initiators, thrusters, gun propellants, caseless ammunition, joining and biocidal agents. A better understanding of the combustion and detonation phenomena at the micro‐ and nanoscale along with the advancement of deposition technologies will bring further developments in this field, particularly for the design of micro/nanoelectromechanical systems (MEMS/NEMS) and propellant grains with improved performance.

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“…The ongoing interest in improving the properties and performance of energetic materials in shaped explosives and solid propellants has fueled the development of a variety of additive manufacturing (AM) methods for energetic mixtures [4][5][6][7], offering to improve the performance of each application through the use tailored geometries. However, AM methods using energetic polymers are still mostly under development, with research in this field slowed down by the lack of completely satisfactory energetic pre-polymers and by the low processability of known energetic resins.…”

Section: Introductionmentioning

confidence: 99%

Preparation of Azido Polycarbonates via Bulk Polymerization of Halogenated Diols

St‐Charles

Dubois

2020

Propellants Explo Pyrotec

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Azido polymers find use as energetic binders in a variety of composite explosive and propellant applications, but few azido polyesters have previously been reported: a method is introduced for the preparation of two azido polycarbonates, poly(2,2'-bisazidomethyl-1,3-propyl carbonate) and poly(3-azido-1,2-propyl carbonate), possible binder candidates for energetics applications. The preparation method for these polymers involves a two-step synthesis starting from the bulk polymerization of the commercially sourced diols with diphenyl carbonate in the presence of lanthanum (III) acetylacetonate as a neutral catalyst, and subsequent azidation in cyclohexanone. The physical and thermal characteristics of each are reported, indicating properties similar to other azido-polymers. The thermal and mechanical properties of cured azido polyester resin mixtures are the subject of ongoing research.

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Additive manufacturing of ammonium perchlorate composite propellant with high solids loadings

Cited by 108 publications

References 11 publications

Deep learning for synthetic microstructure generation in a materials-by-design framework for heterogeneous energetic materials

Deep learning for synthetic microstructure generation in a materials-by-design framework for heterogeneous energetic materials

Progress in Additive Manufacturing of Energetic Materials: Creating the Reactive Microstructures with High Potential of Applications

Preparation of Azido Polycarbonates via Bulk Polymerization of Halogenated Diols

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