813 research outputs found

    Radiographic testing at Lawrence Livermore National Laboratory

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    Radiographic testing is a nondestructive inspection technique which uses penetrating radiation. The Nondestructive Evaluation (NDE) Section at Lawrence Livermore National Laboratory has a broad spectrum of equipment and techniques for radiographic testing. These resources include low-energy vacuum systems, low- and mid-energy cabinet and cell radiographic systems, high-energy linear accelerators, portable x-ray machines and radioisotopes for radiographic inspections. For diagnostic testing the NDE Section also has real-time and flash radiographic equipment

    Distorted electron acceptors: an unexpected reaction involving tetramethyl-TCNQ

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    Reactions involving the donors N-methyl-2-methylbenzothiazolium-and N-(1-propyl)-2-methylbenzothiazolium iodide with the acceptor 2,3,5,6-tetramethyl-7,7,8,8-tetracyano-p-quinodimethane (TMTCNQ) in the presence of a suitable base lead to the isolation of novel [(Z)-beta-(N-alkylbenzothiazol-3-ium-2-yl)-alpha-cyano-2,3,5,6-tetrameth yl-4-styryl]dicyanomethanide chromophores. Under prolonged reaction periods, these first examples of charge transfer compounds incorporating the distorted TMTCNQ electron acceptor, undergo further reaction at the acrylonitrile functionality promoting the synthesis of novel thiomorpholine-based charge transfer compounds via a sulfur mediated cyclisation reaction. This second reaction illustrates a fundamentally new type of TCNQ-based chemistry as confirmed by X-ray crystallography and high-resolution mass spectrometry. A possible reaction mechanism for the formation of the thiomorpholine-based chromophores is considered

    An estimate of collisional beam scattering during final focus in NDCX-II

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    The final focus of NDCX-II contains a region with quite high plasma density. We estimate here how much collisional scatter we expect from transit through this plasma. A separate question, not explored here, is how much scatter there might be off of collective fluctuations in the neutralizing plasma, including those driven by the passage of the beam

    Radiological impact of high-energy accelerators on the environment

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    The potential radiological impact of high-energy, high-intensity accelerators in the environment is discussed. It is shown that there are three sources of radiation exposure to the general public resulting from the operation of high-energy accelerators. In order of importance these are (a) the prompt radiation field, produced when the accelerator is operating; (b) the release of radionuclides and aerosols into the atmosphere; and (c) the production of radionuclides in the groundwater system around the accelerator. Of these three sources, (a) is dominant and typically exceeds (b) by about an order of magnitude. To date, experience at many accelerator laboratories has shown that the quantity of accelerator-produced radionuclides released to nearby groundwater systems (c) is either extremely small or immeasurable. The population dose equivalent resulting from the operation of several large high-energy facilities is compared

    Optimal Placement and Sizing of Distributed Generation

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    In this thesis work we solve the problem of optimal placement and sizing of distributed generation by using an original Fuzzy Adaptive Particle Swarm Optimization algorithm and a Mixed Integer Linear Programming formulation of the problem. The goal of integrating Fuzzy Logic in Particle Swarm Optimization is to be able to overcome some of the classical disadvantages of the algorithm. Particle Swarm Optimization has been traditionally criticized for the complexity to set the acceleration constants of the algorithm and the low exploration capabilities of the algorithm. In this thesis work, it is proposed a new implementation of Particle Swarm Optimization that avoids the complex setting procedure of the acceleration constants of the algorithm, while aiming at improving the exploration capabilities of the algorithm. In this thesis work it is also analyzed a novel Mixed Integer Linear Programming formulation of the problem of optimal sitting of distributed generation in distribution networks implemented in DER- CAM, a tool developed at the Lawrence Berkeley National Laboratory. The results of the two models are analyzed and contrasted against each other for a real case study of an islanded microgrid located in the north of the U.S. Results obtained in the case study depict the differences between the two analyzed approaches to solve the problem. It is found that over and under estimations of voltage magnitudes in high and low loading scenarios of distribution networks have the potential to impact investment decisions in distributed generation capacity for the linear formulation of the problem. Also the models analyzed depict the synergies between renewable energy technologies and thermal generators to increase energy savings while maintaining the operation limits of the grid.Technology, Policy and ManagementEngineering and Policy AnalysisEngineering and Policy Analysi
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