AN OPTION OF HIGH CHARGE OPERATION FOR THE EUROPEAN XFEL

Abstract The 1.3 GHz superconducting accelerator developed in the framework of TESLA and the European XFEL project holds the potential to accelerate high charge electron beams. This feature has been successfully demonstrated during the first run of the free electron laser at the TESLA Test Facility with lasing driven by electron bunches with a charge of up to 4 nC. Currently DESY and the European XFEL GmbH perform revision of the baseline parameters for the electron beam. In this report we discuss a potential option of operation of the European XFEL driven by high charge (1 nC to 3 nC) electron beams. We present the results of the production and characterization of high charge electron bunches. Experiments have been performed at PITZ and demonstrated good properties of the electron beam in terms of emittance. Simulations of the radiation properties of SASE FELs show that application of high charge electron beams will open up the possibility to generate radiation pulse energies up to the few hundred milli-Joule level

Predictive model of the trunk oil pipeline technological section on the basis of results of transient conditions test

The paper deals with the problem of predicting the hydraulic parameters of the trunk oil pipeline (TOP) in transient operating practice. The requirements and assumptions for the model of the trunk oil pipeline are discussed. The basic differential equations describing hydraulic processes in the linear part of the TOP and pumping units are given. The paper analyzes the features of building models of trunk oil pipelines using the Matlab / SimHydraulics tool. As a result, a method for modifying standard Matlab / SimHydraulics tools for building TOP models was proposed. The TOP model “Omsk - Anzhero-Sudzhensk” was built using the modified features of the Matlab / SimHydraulics tool. A model quality criterion is proposed. Comparison of the results obtained in the TOP modeling with measurement data revealed the need to further adjust the model. Using optimization algorithms embedded in the Matlab package, the unknown parameters of the trunk oil pipeline model were adjusted according to the test of transient operating practice using the selected quality criterion

Control of the process of wear of the tribosystems based on the optical density of the lubricating oil using neural network models

The article considers the task of studying how the two processes relate - the destruction of lubricating oil and the wear of the elements of the tribosystem. The paper analyzes one of these indicators - the optical density of the oil, which characterizes the process of its destruction. The study includes the stage of constructing multifactor intelligent critical wear models depending on the optical density of the oil and the effort in the friction pair. The initial data for the construction of models are the results of measurements of the optical density of oils and the diameter of the wear spot. The obtained forecast models are indispensable for explaining the fundamental processes of wear that occur during the operation of lubricating oil. In addition to this, it should be noted that the results obtained make it possible to take the next step towards the creation of a new technique for the rapid assessment of the state of lubricating oil and the corresponding nature of the process of wear of the tribosystem

Структуризація та аналіз даних у зростаючих пірамідальних мережах

The paper deals with memory organization for intelligent systems in the form of growing pyramidal networks (GPS), which provides processes of concept formation, hierarchical regulation and classification of input information. The algorithm of GPS building is described for the case when object descriptions are introduced by parts. Results of GPS application in chemistry and material science are discussed.Рассматривается организация памяти интеллектуальных систем в виде растущих пирамидальных сетей (РПС), обеспечивающая формирование понятия, иерархическое упорядочение, классификацию вводимой информации. Приведены алгоритм построения РПС при вводе признаковых описаний объектов по частям, а также результаты применения РПС для анализа данных в химии и материаловедении.Розглядається організація пам’яті інтелектуальних систем у вигляді зростаючих пірамідальних мереж (ЗПМ), яка дозволяє формування поняття, ієрархічне впорядкування, класифікацію інформації, що вводиться. Наведено алгоритм побудови ЗПМ під час вводу ознакових описів об’єктів по частинам, а також результати застосування ЗПМ для аналізу даних у хімії та матеріалознавстві