A graphene titanium dioxide nanocomposite (GTNC): one pot green synthesis and its application in a solid rocket propellant

Dey, Abhijit; Nangare, Vinit; More, Priyesh V.; Khan, Abdul Shafeeuulla; Khanna, Pawan K.; Sikder, A. K.; Chattopadhyay, Santanu

doi:10.1039/c5ra09295g

Cited by 48 publications

(15 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The hidden layer consists of 5 neurons and the output layer contains 1 neuron for burn rate. Model-3 was trained using 103 data points taken from [10][11][12][13][14][15][16] . The data points are drawn from experiments carried out using different catalysts.…”

Section: Ann Technique and Modellingmentioning

confidence: 99%

“…No such relation is reported in the literature as per our understanding. The trained ANN model-3 was validated by predicting the burn rate for a separate set of data points taken from [10][11][12][13][14][15][16] , which were not used in training set. This is shown in Fig.…”

Section: Ann Modelmentioning

confidence: 99%

“…The analytical platform (Loginom) used for creating and operating the model was developed by BaseGroup Labs 6 . The data used for training the model and validation were taken from either published literature [7][8][9][10][11][12][13][14][15][16] or studies carried out at Energetic Materials Research Lab, IISc Bangalore.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Recent Advancements in Study of Effects of Nano Micro Additives on Solid Propellants Combustion by Means of the Data Science Methods

Abrukov

Lukin²,

Anufrieva

et al. 2019

Def. Sc. Jl.

View full text Add to dashboard Cite

The efforts of Russian-Indian research team for application of the data science methods, in particular, artificial neural networks for development of the multi-factor computational models for studying effects of additive’s properties on the solid rocket propellants combustion are presented. The possibilities of the artificial neural networks (ANN) application in the generalisation of the connections between the variables of combustion experiments as well as in forecasting of “new experimental results” are demonstrated. The effect of particle size of catalyst, oxidizer surface area and kinetic parameters like activation energy and heat release on the final ballistic property of AP-HTPB based propellant composition has been modelled using ANN methods. The validated ANN models can predict many unexplored regimes, like pressures, particle sizes of oxidiser, for which experimental data are not available. Some of the regularly measured kinetic parameters extracted from non-combustion conditions could be related to properties at combustion conditions. Results predicted are within desirable limits accepted in combustion conditions.

show abstract

Section: Ann Technique and Modellingmentioning

confidence: 99%

Section: Ann Modelmentioning

confidence: 99%

See 1 more Smart Citation

Recent Advancements in Study of Effects of Nano Micro Additives on Solid Propellants Combustion by Means of the Data Science Methods

Abrukov

Lukin²,

Anufrieva

et al. 2019

Def. Sc. Jl.

View full text Add to dashboard Cite

show abstract

“…However, they are very complicated, time consuming, and costly and require high chemical consumption. In 2015, Arun Kanti et al [26] developed a cheap and eco-friendly method of producing GTNCs. Unfortunately, the produced composite had a very low loading content of nano-titanium dioxide on the graphene sheets, which is not desirable in photocatalysis applications [27].…”

Section: Introductionmentioning

confidence: 99%

Novel Green Micro-Synthesis of Graphene-Titanium Dioxide Nano- Composites with Photo-Electrochemical Properties

Serour

Hammad

El-Shazly

et al. 2019

CNANO

View full text Add to dashboard Cite

Background: Graphene-Titanium dioxide nano-composite forms a very promising material in the field of photo-electrochemical research. Methods: In this study, a novel environment-friendly synthesis method was developed to produce well-distributed anatase nano-titanium dioxide spherical particles on the surface of graphene sheets. This novel method has great advantages over previously developed methods of producing graphenetitanium dioxide nanocomposites (GTNCs). High calcination temperature 650°C was used in the preparation of nano titanium dioxide, and chemical exfoliation for graphene synthesis and GTNC was performed by our novel method of depositing titanium dioxide nanoparticles on graphene sheets using a Y-shaped micro-reactor under a controlled pumping rate with minimal use of chemicals. Results: The physiochemical and crystallographic properties of the GTNC were confirmed by TEM, XRD, FTIR and EDX measurements, confirming process repeatability. Spherical nano-titanium dioxide was produced in the anatase phase with very high crystallinity and small particle diameters ranging from 9 nm to 25 nm, also the as prepared graphene (RGO) exhibited minimal flake folding and a high carbon content of 81.28% with a low oxygen-to-carbon atomic ratio of 0.172 and GTNCs produced by our novel method had a superior loading content, a homogeneous distribution and a 96.6% higher content of titanium dioxide particles on the graphene sheets compared with GTNCs prepared with the one-pot method. Conclusion: For its photoelectrochemical properties, chronoamperometry showed that GTNC sample (2) had a higher peak current of 60 μA compared with that of GTNC sample (1), which indicates that the separation and transfer of electron-hole pairs are better in the case of GTNC sample (2) and according to the LSV results, the generation of photocurrent in the samples can be observed through multiple on-off cycles, which indicates that the electrodes are stable and that the photocurrent is quite reversible.

show abstract

“…Kaneshige 9 , et al performed heat transfer computations using COYOTE, a multidimensional, nonlinear heat conduction solver developed by Sandia National laboratories. With advent of muti-physics solvers and accurate burn rate models and data 12,13 , computational methods have been emerged as synergistically complementing tool for explosive safety experiments.…”

mentioning

confidence: 99%

Experimental and Numerical Investigations of Thermal Ignition of a Phase Changing Energetic Material

Shukla

Deepu

2016

Def. Sc. Jl.

View full text Add to dashboard Cite

Fortuitous exposure to high temperatures initiates reaction in energetic materials and possibilities of such event are of great concern in terms of the safe and controlled usage of explosive devices. Experimental and numerical investigations on time to explosion and location of ignition of a phase changing polymer bonded explosive material (80 per cent RDX and 20 per cent binder), contained in a metallic confinement subjected to controlled temperature build-up on its surface, are presented. An experimental setup was developed in which the polymer bonded explosive material filled in a cylindrical confinement was provided with a precise control of surface heating rate. Temperature at various radial locations was monitored till ignition. A computational model for solving two dimensional unsteady heat transfer with phase change and heat generation due to multi-step chemical reaction was developed. This model was implemented using a custom field function in the framework of a finite volume method based standard commercial solver. Numerical study could simulate the transient heat conduction, the melting pattern of the explosive within the charge and also the thermal runaway. Computed values of temperature evolution at various radial locations and the time to ignition were closely agreeing with those measured in experiment. Results are helpful both in predicting the possibility of thermal ignition during accidents as well as for the design of safety systems.

show abstract

A graphene titanium dioxide nanocomposite (GTNC): one pot green synthesis and its application in a solid rocket propellant

Cited by 48 publications

References 32 publications

Recent Advancements in Study of Effects of Nano Micro Additives on Solid Propellants Combustion by Means of the Data Science Methods

Recent Advancements in Study of Effects of Nano Micro Additives on Solid Propellants Combustion by Means of the Data Science Methods

Novel Green Micro-Synthesis of Graphene-Titanium Dioxide Nano- Composites with Photo-Electrochemical Properties

Experimental and Numerical Investigations of Thermal Ignition of a Phase Changing Energetic Material

Contact Info

Product

Resources

About