Chinese Academy of Sciences

University of Science and Technology Beijing

Yanshan University

North China University of Techonlogy

Yan Luo

Yu Wang

Lijia Zhang

Ying Ren

Xiaobin Wu

Lifeng Zhang

Kuibo Wang

Weijian Wang

Qiang Ren

Wanlu Xie

Luosha Zhang

A method for predicting a yield of calcium in a calcium treatment process based on deep neural network as provided relates to a calcium treatment process of molten steel refining in the field of iron and steel metallurgy, and includes steps of: obtaining production and operation data information of each of charges and thereby constructing a dataset; training and testing a deep neural network based on constructed dataset to establish a prediction model; and based on the prediction model, predicting and calculating current yield of calcium by taking actual production and operation data information of each charge as input. The method can predict the yield of calcium in the calcium treatment process, is favorable for accurately controlling a calcium content of steel, can stably control the calcium treatment process, improve the calcium treatment effect, improve the product quality, and ensure the production stability.

Method for predicting yield of calcium in a calcium treatment process based on deep neural network

A preparation device has a chamber, molten metal containers, a rotatable base in the chamber and having a deposition substrate, laser sets generating a dual-pulse laser, a base controller and a data collection control unit. The containers communicate with the chamber and each has a pulse pressurization apparatus pressing the molten metal into the chamber. The laser sets correspond to the containers such that beams of an emitted dual-pulse laser bombard the pulsed droplets, plasmas are generated and are sputtered and deposited on the substrate forming a multi-element alloy thin film. The unit collects base temperature and displacement information, and controls the pressurization frequency of the pulse pressurization apparatus, and the emission frequency and energy of the dual-pulse laser of the laser sets controlling the frequency and energy of the dual-pulse laser bombarding the corresponding pulsed droplets. The base controller controls the base temperature, rotation and movement.

Apparatus and method for preparing multi-component alloy film

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Beijing, China

Yan Luo