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Design and Study of Composite Film Preparation Platform
by
Chen, Guojin
, Gan, Yusen
, Zhang, Dongqi
, Wu, Junyi
, Zhang, Niushan
, Li, Chao
, Li, Wenxin
, Chen, Chang
, Wu, Guangqin
in
composite film
/ Cr-Al
/ Deformation
/ Design
/ Evaporation
/ Film thickness
/ film thickness prediction
/ Flat panel displays
/ Heat resistance
/ machine learning
/ Magnetron sputtering
/ Medical equipment
/ Modules
/ preparation platform
/ Radiation
/ Regression models
/ Simulation
/ Structural design
/ Thin films
/ Vacuum evaporation
/ Working conditions
2024
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Design and Study of Composite Film Preparation Platform
by
Chen, Guojin
, Gan, Yusen
, Zhang, Dongqi
, Wu, Junyi
, Zhang, Niushan
, Li, Chao
, Li, Wenxin
, Chen, Chang
, Wu, Guangqin
in
composite film
/ Cr-Al
/ Deformation
/ Design
/ Evaporation
/ Film thickness
/ film thickness prediction
/ Flat panel displays
/ Heat resistance
/ machine learning
/ Magnetron sputtering
/ Medical equipment
/ Modules
/ preparation platform
/ Radiation
/ Regression models
/ Simulation
/ Structural design
/ Thin films
/ Vacuum evaporation
/ Working conditions
2024
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Do you wish to request the book?
Design and Study of Composite Film Preparation Platform
by
Chen, Guojin
, Gan, Yusen
, Zhang, Dongqi
, Wu, Junyi
, Zhang, Niushan
, Li, Chao
, Li, Wenxin
, Chen, Chang
, Wu, Guangqin
in
composite film
/ Cr-Al
/ Deformation
/ Design
/ Evaporation
/ Film thickness
/ film thickness prediction
/ Flat panel displays
/ Heat resistance
/ machine learning
/ Magnetron sputtering
/ Medical equipment
/ Modules
/ preparation platform
/ Radiation
/ Regression models
/ Simulation
/ Structural design
/ Thin films
/ Vacuum evaporation
/ Working conditions
2024
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Journal Article
Design and Study of Composite Film Preparation Platform
2024
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Overview
This study aims to develop equipment for the preparation of composite films and successfully implement a film thickness prediction function. During the research process, we segmented the mechanical structure of the composite thin film preparation equipment into distinct modules, completed the structural design of the core module, and validated the stability of the process chamber, as well as the reasonableness of the strength and stiffness through simulation. Additionally, we devised a regression model for predicting the film thickness of composite films. The input features for the model included the sputtering air pressure, sputtering current, and sputtering time for magnetron sputtering process samples, as well as the evaporation volume and evaporation current for vacuum evaporation process samples. Simultaneously, the output features were the film thickness for both process samples. Subsequently, we established the designed composite film preparation equipment and conducted experimental verification. During the experiments, we successfully prepared Cr-Al composite films and utilized AFM for surface morphology analysis. The results confirmed the excellent performance of the Cr-Al composite films produced by the equipment, demonstrating the reliability of the equipment.
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