Vr Sanal Kumar

Indian Space Research Organization | ISRO

Although numerous models of aerial‐robots/drones and planet landers have been demonstrated to fly autonomously in natural and manmade environments for far‐reaching scientific and technological change to help humankind, no drone flowed yet with a push‐pull dual‐head electromagnetic propulsion (EMP) system ensuring unrestricted flight endurance. The...

Diagnostic investigations of aneurysm, hemorrhagic stroke, and other asymptomatic cardiovascular diseases and neurological disorders due to the flow choking (biofluid/boundary layer blockage persuaded flow choking) phenomenon in the circulatory system of humans and animals on the Earth and in the human spaceflight are active research topics of topi...

View Video Presentation: https://doi.org/10.2514/6.2022-1955.vid The phenomenological manifestation of the nanoscale Sanal flow choking [V.R.S.Kumar et al., Nature Scientific Reports, 2021, DOI: 10.1038/s41598-021-94450-8] and streamtube flow choking [V.R.S.Kumar et al., Physics of Fluids, 2021, DOI:10.1063/5.0040440] is a paradigm shift in the des...

View Video Presentation: https://doi.org/10.2514/6.2021-3242.vid The theoretical finding of the Sanal flow choking [PMCID: PMC7267099] is a methodological advancement in predicting the deflagration-to-detonation-transition (DDT) in the real-world-fluid flows (continuum/non-continuum) with credibility. Herein, we provide a proof of the concept of th...

View Video Presentation: https://doi.org/10.2514/6.2021-3545.vid The aerospike nozzle shape has long been known for its potential altitude compensating capability. An altitude compensating nozzle is a class of rocket engine nozzles that are designed to operate with the highest momentum thrust across a wide range of altitudes. The pressure on the ae...

View Video Presentation: https://doi.org/10.2514/6.2021-3357.vid Noise regulations around the airport and rocket launching stations due to the environmental concern have made jet noise a crucial problem in the present day aeroacoustics research aiming to mitigate the undesirable jarring sound to avoid health hazards. The present paper is a continua...

View Video Presentation: https://doi.org/10.2514/6.2021-3360.vid Aerospike nozzles are best-suited for the single stage to orbit (SSTO) vehicles because it can be both more efficient and significantly smaller than conventional high-expansion ratio bell nozzles. In this pilot study 2d in silico simulations have been carried out for the design optimi...

View Video Presentation: https://doi.org/10.2514/6.2021-3240.vid Theoretical discovery of the Sanal flow choking phenomenon has opened the new possibilities for better understanding the intra-chamber processes and for the design optimization of the next generation in-space multimode propulsion systems. Development of the new concepts and tool-kits...

The theoretical discovery of the boundarly layer blockage (BLB) persuaded Sanal flow choking and shock-wave/boundary-layer interaction is a critical physical situation that underpins the design optimization of transonic ground-effect vehicles (V.R.S.Kumar et al., Physics of Fluids, Vol. 33, No.3, 2021, DOI: 10.1063/5.0040440). The application of th...

View Video Presentation: https://doi.org/10.2514/6.2021-2940.vid The theoretical discovery of the Sanal flow choking (PMC7267099) and streamtube flow choking (V.R.S.Kumar et al., Physics of Fluids, Vol. 33, No. 3, 2021, DOI: 10.1063/5.0040440) are paradigm shift in the design optimization of variable thrust nanoscale nozzle-less propulsion systems....

Evidences are escalating on the diverse neurological-disorders and asymptomatic cardiovascular-diseases associated with COVID-19 pandemic due to the Sanal-flow-choking. Herein, we established the proof of the concept of nanoscale Sanal-flow-choking in real-world fluid-flow systems using a closed-form-analytical-model. This mathematical-model is cap...

Although the interdisciplinary science of nanotechnology has been advanced significantly over the last few decades there were no closed-form analytical models to predict the three-dimensional (3D) boundary-layer-blockage (BLB) factor, of diabatic flows (flows involves the transfer of heat) passing through a nanoscale tube. As the pressure of the di...

The theoretical discoveries of the Sanal flow choking [V. R. Sanal Kumar et al., “Sanal flow choking: A paradigm shift in computational fluid dynamics code verification and diagnosing detonation and hemorrhage in real‐world fluid‐flow systems,” Global Challenges 4, 2000012 (2020)] and streamtube flow choking [V. R. Sanal Kumar et al., “Deflagration...

Herein, we established the proof of the concept of internal flow choking in CVS causing cardiovascular risk through the closed-form analytical, in vitro and in silico methods. An over dose of blood-thinning drug will enhance the Reynolds number , which creates high turbulence level causing an augmented boundary layer blockage factor leading to an e...

Of late, authors reported conclusively through the state-of-the-art closed-form analytical methodology that the asymptomatic stroke and the transient-ischemic-attack could occur due to the Sanal flow choking (PMCID: PMC7267099). Sanal flow choking leads to the shock wave generation causing arterial stiffening in the arteries particularly with bifur...

The space debris management and alleviation in the microgravity environment is a dynamic research theme of contemporary interest. Herein, we provide a theoretical proof of the concept of a lucrative energy conversion system that is capable of changing the space debris into useful powders in the International Space Station (ISS) for various bids. A...

The Sanal flow choking (PMCID: PMC7267099) and the streamtube flow choking are new theoretical concepts applicable to both the continuum and non-continuum fluid flows. Once the streamlines compacted, the considerable pressure difference attains within the streamtube and the flow within the streamtube gets accelerated to the constricted section for...

The results of usage of artificial neural networks, for the creation of new multifactor computational models of the effect of catalysts on the combustion of ballistic powders (BP) that solve the direct and inverse tasks as well as execute virtual experiments are presented. The own analytical platform Loginom was used for the models creation. The mo...

Data (Tables and Graphs) of combustion of ballistic powders with such catalyst as copper phthalate-lead, soot, copper butyrate, lead oxide. It were obtained by digitizing of experimental data published by Denisyuk team, Russia.

The results from the application of artificial neural networks for the creation of multifactor computational models of the burning rate of unimodal ammonium perchlorate (AP)/hydroxyl-terminated polybutadiene (HTPB) propellant are presented. Models solved the direct and inverse tasks, were based upon burning rate data available in the literature, an...

The theoretical finding of the Sanal-flow-choking [PMCID: PMC7267099] is a methodological advancement in predicting the deflagration-to-detonation-transition (DDT) in the real-world-fluid flows (continuum/non-continuum) with credibility.[1,2] Herein, we provide a proof of the concept of the Sanal-flow-choking and streamtube-flow-choking causing DDT...

The theoretical finding of the Sanal-flow-choking [PMCID: PMC7267099] and streamtube flow choking (V.R.Sanal Kumar et al., Physics of Fluids, Vol.33, No.3, 2021, DOI: 10.1063/5.0040440) are methodological advancements in predicting the deflagration-to-detonation-transition (DDT) in the real-world-fluid flows (continuum/non-continuum) with credibili...

Представлены результаты использования методов науки о данных, в частности нейронных сетей глубокого обучения и множественных адаптивных регрессионных сплайнов, для создания новых многофакторных вычислительных моделей горения твердого топлива (ТТ) для решения прямых и обратных задач. Основное внимание уделено сравнению различных методов создания мно...

Искусственные нейронные сети (ИНС), один из наиболее перспективных методов Data Science (науки о данных), были исследованы на точность при решении задачи прогнозирования скорости детонации на основе набора данных, содержащего 171 пример экспериментальных исследований детонации 65 взрывчатых соединений и композиций с различными характеристиками и св...

Finding the new energetic materials (EM) with desired properties has been intensely pursued in recent decades. Joint Russian-Indian research team propose the new concept of accelerated discovery of a new EM with desired properties through the Energetic Materials Genome (EMG) approach and machine learning. As compared to the revolutionary advances i...

In continuation of previously completed works [1-4], the results of usage of data science methods, in particular neural networks, for the creation of new multifactor computational models of the solid propellants (SP) combustion that solve the direct and inverse tasks are presented. The possibilities of executing of virtual experiments are shown-the...

The results of usage of data science methods, in particular artificial neural networks, for the creation of new multifactor computational models of the solid propellants (SP) combustion that solve the direct and inverse tasks are presented. The own analytical platform Loginom was used for the models creation. The models of combustion of double base...

Although the design and optimization of an aircraft engine have been advanced significantly over the last few decades, an aerodynamic shape optimization of dump diffuser is still an active research topic in the modern aircraft industry aiming for achieving more efficient combustion and the less total pressure losses. In our previous connected paper...

An altitude compensating nozzle is a class of rocket engine nozzles that are designed to operate with the highest momentum thrust across a wide range of altitudes. Herein, we are proposing a single nozzle with different adjustable area ratios at different altitude. This could be achieved by shelling thin-wall nozzles one upon another from a low noz...

Joint Indo-Russian research team propose and describe the new concept and strategy of accelerated discovery of a new solid propellant with desired properties through the Energetic Materials Genome (EMG) approach and machine learning. Under the EMG approach - solid and liquid rocket propellants and gun-powders - we propose to understand the totality...

Electromagnetic (EM) waves bring energy into a system by virtue of its electric and magnetic fields. As a proof of the concept we demonstrated herein the use of copper coils for harvesting EM waves from the atmosphere to create voltage. As a first step, classical laboratory tests are carried out at the sea level for establishing the concept and fur...

We suggest the new strategy for an accelerated development of solid propellants through the space debris recycling at the platform of international space station (ISS) through the Energetic Materials Genome (EMG) approach and machine learning. Using a well-trained Artificial Neural Network (ANN) we demonstrated the possibilities for finding the bes...

We discovered through theoretical studies that, at the creeping inflow conditions, any chemical rocket having port with the sudden expansion / divergent could predispose to deflagration-to-detonation-transition (DDT) at a critical total-to-static pressure ratio (TSPR) due to the phenomenon of Sanal flow choking. At the Sanal flow choking condition,...

The results of usage of data science methods, in particular artificial neural networks, for the creation of new multifactor computational models of the solid propellants (SP) combustion that solve the direct and inverse tasks are presented. The own analytical platform Loginom was used for the models creation. The models of combustion of double base...

In this paper, we present the results of usage of data science methods, in particular artificial neural networks, for the creation of new multifactor computational models for prediction of burn rate of the solid propellants (SP). The analytical system PolyAnalyst and analytical platform Loginom were used for the model creation. The particular model...

Comprehensive theoretical studies have been carried out for the geometry optimization of a pintle nozzle for variable-thrust propulsion. We designed the pintle such that, at the final pintle position, the integrated shape facilitates the scaled-down version of the shockless main nozzle. Numerical studies have been carried out using a validated two-...

Artificial neural networks, one of the most promising methods of Data Science, has been tested for its utility in predicting detonation velocity based on a data set containing 104 data points extracted from over 65 explosive compounds and compositions with diverse characteristics and properties. The usefulness and versatility of the method is clear...

It is presented the results of usage of data science methods, in particular deep learning neural networks and multiple adaptive regression splines, for the creation of new multifactor computational models of the solid propellants (SP) combustion for solution of direct and inverse tasks. The main attention was paid to the comparison of various metho...

The possibilities of the application of Data Science Methods in predicting certain macroscopic properties have been examined in energetic compounds. Artificial neural networks, one of the most promising methods of Data Science, has been used for predicting detonation velocity based on a trained set comprising of a large data set containing 104 data...

In this paper analytical and numerical predictions of boundary layer blockage at the Sanal flow choking condition for diabatic flows have been carried out. The Sanal flow choking is a unique condition of any internal flow system at which both the thermal choking (Rayleigh flow effect) and the wall-friction induced flow choking (Fanno flow effect) o...