High‐Fidelity Aerothermal Engineering Analysis for Planetary Probes Using DOTNET Framework and OLAP Cubes Database

Subrahmanyam, Prabhakar

doi:10.1155/2009/326102

Cited by 7 publications

(2 citation statements)

References 10 publications

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“…In addition, powerful LICF instruments are often heavy, bulky, and expensive, and AI algorithms require large databases and high-performance computers to achieve satisfactory performance. Therefore, this study proposed an AI and Internet of Things (AIoT)-based platform for detecting orchid infection [19,20]. An inexpensive and handheld inspection tool was fabricated for this study and connected to an Android smartphone.…”

Section: Introductionmentioning

confidence: 99%

An Optical Smartphone-Based Inspection Platform for Identification of Diseased Orchids

et al. 2021

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Infections of orchids by the Odontoglossum ringspot virus or Cymbidium mosaic virus cause orchid disfiguration and are a substantial source of economic loss for orchid farms. Although immunoassays can identify these infections, immunoassays are expensive, time consuming, and labor consuming and limited to sampling-based testing methods. This study proposes a noncontact inspection platform that uses a spectrometer and Android smartphone. When orchid leaves are illuminated with a handheld optical probe, the Android app based on the Internet of Things and artificial intelligence can display the measured florescence spectrum and determine the infection status within 3 s by using an algorithm hosted on a remote server. The algorithm was trained on optical data and the results of polymerase chain reaction assays. The testing accuracy of the algorithm was 89%. The area under the receiver operating characteristic curve was 91%; thus, the platform with the algorithm was accurate and convenient for infection screening in orchids.

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Section: Introductionmentioning

confidence: 99%

An Optical Smartphone-Based Inspection Platform for Identification of Diseased Orchids

et al. 2021

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“…The model incorporates the physical processes taking place in the reaction zone of the ablative material, viz., decomposition or pyrolysis and the production of pyrolysis gases affecting the surface chemistry. We make use of the experimental observations found in the literature [1,3,4,5,6] to construct a realistic material thermal response model, which when coupled with an accurate flow solver describes the overall flow physics fairly accurately at moderate computational expense. When coupled with a statistical DSMC flow solver, this model can predict the TPS response to the reentry flow impact at the high and moderate altitudes, and since the technique can also be coupled with the traditional CFD solvers, the TPS behavior along the reentry entire trajectory can be studied.…”

Section: Thermal Response Model Of An Ablative Materialsmentioning

confidence: 99%

In Depth Analysis of AVCOAT TPS Response to a Reentry Flow

Титов¹,

Kumar²,

Levin³

2011

AIP Conference Proceedings

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Modeling of the high altitude portion of reentry vehicle trajectories with DSMC or statistical BGK solvers requires accurate evaluation of the boundary conditions at the ablating TPS surface. Presented in this article is a model which takes into account the complex ablation physics including the production of pyrolysis gases, and chemistry at the TPS surface. Since the ablation process is time dependent the modeling of the material response to the high energy reentry flow starts with the solution of the rarefied flow over the vehicle and then loosely couples with the material response. The objective of the present work is to carry out conjugate thermal analysis by weakly coupling a flow solver to a material thermal response model. The latter model solves the one dimensional heat conduction equation accounting for the pyrolysis process that takes place in the reaction zone of an ablative thermal protection system (TPS) material. An estimate of the temperature range within which the pyrolysis reaction (decomposition and volatilization) takes place is obtained from Ref. [1]. The pyrolysis reaction results in the formation of char and the release of gases through the porous charred material. These gases remove additional amount of heat as they pass through the material, thus cooling the material (the process known as transpiration cooling). In the present work, we incorporate the transpiration cooling model in the material thermal response code in addition to the pyrolysis model. The flow in the boundary layer and in the vicinity of the TPS material is in the transitional flow regime. Therefore, we use a previously validated statistical BGK method [2] to model the flow physics in the vicinity of the micro-cracks, since the BGK method allows simulations of flow at pressures higher than can be computed using DSMC. THERMAL RESPONSE MODEL OF AN ABLATIVE MATERIALThe problem of protecting a space-capsule from the high temperature chemically reacting environment during a reentry mission has resulted in the development and successful use of ablative TPS materials. The main features of an ablative TPS material are illustrated in Fig. 1. Most ablative TPS materials use reinforced composites employing organic resins as binders. The surface temperature of the ablative material rises due to the incident heat flux, with its rate of increase depending on the magnitude of heat flux and the thermophysical properties of the material such as the specific heat and thermal conductivity. The low thermal conductivity of the ablative material effectively concentrates the absorbed heat in the surface region, thereby protecting the inner layers of TPS from significant temperature increases. As the surface material reaches sufficiently high temperature, the resin undergoes the endothermic processes of decomposition and sublimation, known as pyrolysis. The process of pyrolysis produces gaseous products that percolate toward the heated surface and are injected into the boundary layer. The pyrolysis of the resin also results in the formation of a...

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Linearization and simulation of two-temp systems

Romanova

2022

INTERNATIONAL CONFERENCE ON INFORMATICS, TECHNOLOGY, AND ENGINEERING 2021 (InCITE 2021): Leveraging Smart Engineering

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High‐Fidelity Aerothermal Engineering Analysis for Planetary Probes Using DOTNET Framework and OLAP Cubes Database

Cited by 7 publications

References 10 publications

An Optical Smartphone-Based Inspection Platform for Identification of Diseased Orchids

An Optical Smartphone-Based Inspection Platform for Identification of Diseased Orchids

In Depth Analysis of AVCOAT TPS Response to a Reentry Flow

Linearization and simulation of two-temp systems

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