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Небесная энциклопедия

Космические корабли и станции, автоматические КА и методы их проектирования, бортовые комплексы управления, системы и средства жизнеобеспечения, особенности технологии производства ракетно-космических систем

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Мониторинг СМИ и социальных сетей. Сканирование интернета, новостных сайтов, специализированных контентных площадок на базе мессенджеров. Гибкие настройки фильтров и первоначальных источников.

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Применить Всего найдено 2. Отображено 2.
13-08-2021 дата публикации

Lithium/sodium ion battery negative electrode material and preparation method thereof

Номер: CN113258046A
Принадлежит:

The invention discloses a lithium/sodium ion battery negative electrode material and a preparation method thereof. The negative electrode material is prepared from the following raw materials in parts by weight: 20-30 parts of CMK-8, 3-7 parts of NiSe2 octahedral microcrystals, 10-20 parts of graphene-like molybdenum disulfide, 3-6 parts of carbon nanotubes and 5-10 parts of cysteine. According to the invention, CMK-8 is used as a template, a three-dimensional structure composed of the graphene-like molybdenum disulfide, the NiSe2 octahedral microcrystals and the carbon nanotubes is attached to the surface of CMK-8, and rich channels are loaded in the three-dimensional structure, so lithium/sodium ions are easy to migrate, shuttle, embed and depart in the channels, and the charge-discharge specific capacity of the lithium/sodium ions is greatly improved; and meanwhile, the volume expansion of the negative electrode material can be effectively avoided by virtue of a large amount of space ...

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25-04-2023 дата публикации

Detection method for railway waste slag particles

Номер: CN116012340A
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The invention discloses a detection method for railway waste slag particles, and relates to the technical field of geological disaster identification, and the method comprises the following steps: S1, carrying out the shooting measurement of a to-be-detected slag yard through an unmanned plane, and obtaining the field data; s2, performing indoor processing on the field data, and establishing a three-dimensional structure model of the slag accumulation particles; s3, exporting point cloud data of the three-dimensional structure model of the slag accumulation particles; s4, calculating by using the point cloud data to obtain a point cloud normal vector; s5, moving the point cloud data by a set value along the point cloud normal vector, and performing point cloud data separation to obtain separated point cloud data; s6, carrying out slag particle identification on the separated point cloud data; and S7, extracting morphological data of the identified slag particles, and completing detection ...

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