Lightning Prediction for Space Launch Using Machine Learning Based Off of Electric Field Mills and Lightning Detection and Ranging Data

Kennedy Space Center and Cape Canaveral Air Station, FL, where the Air Force conducts space launches, are in an area of frequent lightning strikes, which is main obstacle in meeting launch goals. The 45th Weather Squadron (45th WS) ensures that any weather safety requirements are met during pre-launch and actual space launch. Using only summer months from three years’ worth of lightning detection and ranging (LDAR) and electric field mill (EFM) data from KSC, several feedforward neural networks are constructed. Separate models are built for each EFM and trained by adjusting parameters to forecast lightning 30 minutes out in the surrounding area of each field mill

Fatigue life prediction on nickel base superalloys

Neural networks have been used extensively in material science with varying success.It has been demonstrated that they can be very effective at predicting mechanical properties such as yield strength and ultimate tensile strength. These networks require large amounts of input data in order to learn the correct data trends. A neural network modelling process has been developed which includes data collection methodology and subsequent filtering techniques in conjunction with training of a neural network model.It has been shown that by using certain techniques to ‘improve’ the input data a network will not only fit seen and unseen Ultimate Tensile Strength (UTS) and Yield Strength (YS) data but correctly predict trends consistent with metallurgical understanding.Using the methods developed with the UTS and YS models, a Low Cycle Fatigue (LCF) life model has been developed with promising initial results.Crack initiation at high temperatures has been studied in CMSX4 in both air and vacuum environments, to elucidate the effect of oxidation on the notch fatigue initiation process. In air, crack initiation occurred at sub-surface interdendritic pores in all cases.The sub-surface crack grows initially under vacuum conditions, before breaking out to the top surface. Lifetime is then dependent on initiating pore size and distance from the notch root surface. In vacuum conditions, crack initiation has been observed more consistently from surface or close-to-surface pores - indicating that surface oxidation is in-filling/”healing” surface pores or providing significant local stress transfer to shift initiation to sub-surface pores. Complementary work has been carried out using PWA1484 and Rene N5. Extensive data has been collected on initiating pores for all 3alloys. A model has been developed to predict fatigue life based upon geometrical information from the initiating pores. A Paris law approach is used in conjunction with long crack propagation data. The model shows a good fit with experimental data and further improvements have been recommended in order to increase the capability of the model

Machine learning approach for elucidating and predicting the role of synthesis parameters on the shape and size of TiO2 nanoparticles

open9In the present work a series of design rules are developed in order to tune the morphology of TiO2 nanoparticles through hydrothermal process. Through a careful experimental design, the influence of relevant process parameters on the synthesis outcome are studied, reaching to the develop predictive models by using Machine Learning methods. The models, after the validation and training, are able to predict with high accuracy the synthesis outcome in terms of nanoparticle size, polydispersity and aspect ratio. Furthermore, they are implemented by reverse engineering approach to do the inverse process, i.e. obtain the optimal synthesis parameters given a specific product characteristic. For the first time, it is presented a synthesis method that allows continuous and precise control of NPs morphology with the possibility to tune the aspect ratio over a large range from 1.4 (perfect truncated bipyramids) to 6 (elongated nanoparticles) and the length from 20 to 140 nm.openPellegrino, Francesco; Isopescu, Raluca; Pellutiè, Letizia; Sordello, Fabrizio; Rossi, Andrea M; Ortel, Erik; Martra, Gianmario; Hodoroaba, Vasile-Dan; Maurino, ValterPellegrino, Francesco; Isopescu, Raluca; Pellutiè, Letizia; Sordello, Fabrizio; Rossi, Andrea M; Ortel, Erik; Martra, Gianmario; Hodoroaba, Vasile-Dan; Maurino, Valte

Technology 2003: The Fourth National Technology Transfer Conference and Exposition, volume 2

Proceedings from symposia of the Technology 2003 Conference and Exposition, Dec. 7-9, 1993, Anaheim, CA, are presented. Volume 2 features papers on artificial intelligence, CAD&E, computer hardware, computer software, information management, photonics, robotics, test and measurement, video and imaging, and virtual reality/simulation

NASA technology applications team: Applications of aerospace technology

Two critical aspects of the Applications Engineering Program were especially successful: commercializing products of Application Projects; and leveraging NASA funds for projects by developing cofunding from industry and other agencies. Results are presented in the following areas: the excimer laser was commercialized for clearing plaque in the arteries of patients with coronary artery disease; the ultrasound burn depth analysis technology is to be licensed and commercialized; a phased commercialization plan was submitted to NASA for the intracranial pressure monitor; the Flexible Agricultural Robotics Manipulator System (FARMS) is making progress in the development of sensors and a customized end effector for a roboticized greenhouse operation; a dual robot are controller was improved; a multisensor urodynamic pressure catherer was successful in clinical tests; commercial applications were examined for diamond like carbon coatings; further work was done on the multichannel flow cytometer; progress on the liquid airpack for fire fighters; a wind energy conversion device was tested in a low speed wind tunnel; and the Space Shuttle Thermal Protection System was reviewed

Advances in Design by Metallic Materials: Synthesis, Characterization, Simulation and Applications

Very recently, a great deal of attention has been paid by researchers and technologists to trying to eliminate metal materials in the design of products and processes in favor of plastics and composites. After a few years, it is possible to state that metal materials are even more present in our lives and this is especially thanks to their ability to evolve. This Special Issue is focused on the recent evolution of metals and alloys with the scope of presenting the state of the art of solutions where metallic materials have become established, without a doubt, as a successful design solution thanks to their unique properties

Processing & Characterization of Nickel-Aluminide Coating on Metal Substrates

Nickel-aluminide has drawn enormous attention because of its technological and scientific interest. It has long been used as a coating material on industrial and structural elements, where its function has been to minimize the thermo-mechanical stresses at the substrate-coating interface and to promote coating adhesion. Its role, therefore, has mostly been restricted as a bond coat between the core component and the ceramic top coat. Its use as a top coat material has not been reported so far

Thermal Spray Coating of Redmud on Metals

Red mud emerges as the major waste material during production of alumina from bauxite by the Bayer’s process. It comprises of oxides of iron, titanium, aluminium and silica along with some other minor constituents. The present investigation explores the coating potential of this industrial waste. It envisages the processing and characterization of a series of plasma sprayed coatings made with red mud and red mud pre-mixed with different proportions of fly ash and powders of aluminium and carbon. These materials do not belong to the so called “plasma sprayable” category. They have been deposited on aluminium, copper, mild steel and stainless steel substrates by atmospheric plasma spraying. The coatings are characterized to evaluate their potential as wear resistant coatings. Micro-structural characterization of the coatings has been carried out using scanning electron microscopy, x -ray diffraction and image analysis technique. It is found that red mud is eminently coatable. The coating..

Processing and Characterization of Plasma Sprayed Iron Aluminide Coatings

Surface modification is a generic term now applied to a large field of diverse technologies that can be gainfully harnessed to achieve increased reliability and enhanced performance of industrial components. Intermetallic compounds find extensive use in high temperature structural applications. The Fe3Al based intermetallic alloys offer unique benefits of excellent oxidation and sulfidation resistance at a potential cost lower than many stainless steels. These are mainly used in heating elements, regenerator disks, wrapping wire, hot gas filters, tooling, and shields. To obtain functional surface coating on machine components exhibiting selected in-service properties, proper combination of processing parameters has to be planned. These combinations differ by their influence on the coating properties and characteristics. Plasma spraying is gaining acceptance as a development of quality coatings of various materials on a wide range of substrates. Coatings made with plasma route exhibit excellent wear, corossion resistance and high thermal shock resistance etc. Iron premixed with 30% aluminium is deposited on mild steel and copper substrates by atmospheric plasma spraying at various operating power level ranging from 11to 21kW . After plasma spraying, the coated materials have been subjected to a series of tests. The particle sizes of the raw materials used for coating (iron with, 30 wt% aluminium powder) are characterized using Laser particle size analyzer of Malvern Instruments make. Thickness of the iron aluminide coatings are measured by using an optical microscope. X-ray diffraction technique is used to identify the different (crystalline) phases present in the coatings. The coating adhesion strength is evaluated by coating pull out method, as per ASTM C- 633 standard. Coated specimens are studied by JEOL JSM-6480 LV scanning electron microscope in order to know the surface and interface morphology. The porosity of the coatings is measured by putting polished cross sections of the coating sample under a microscope using image analyser. Microhardness measurement is done to know the hardness of the optically distinguishable phases by using Leitz Microhardness Tester Solid particle erosion is a wear process where particles strike against a surface and promote material loss. In this work, room viii temperature solid particle (sand) erosion test is carried out by using ASTM G76 standards. Deposition efficiency is evaluated as the important factor that determines the techno-economics of the process. Statistical analysis i.e. Artificial Neural Networks is gainfully employed to simulate property-parameter correlations in a space larger than the experimental domain. It is evident that with an appropriate choice of processing conditions a sound and adherent iron aluminide coating are achievable using iron aluminium powders