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Science, Technology, Engineering, Management and Medicine
Research on Automated Powder Filling Equipment for 5–20 KG Molybdenum Slabs
DOI: https://doi.org/10.62517/jes.202502205
Author(s)
Wenya Dang*, Hang Zhang, Tongtong Guo, Shuang Lu
Affiliation(s)
Jinduicheng Molybdenum Co., Ltd., Xi'an, Shaanxi, China *Corresponding Author
Abstract
This study aims to break through the core limitations of traditional production models via technological innovation and process optimization, thereby establishing a high-precision, intelligent, and sustainable manufacturing system for molybdenum slabs. The research methodology focuses on: Developing a closed-loop controlled powder filling system to enhance material uniformity; Implementing AI-driven real-time monitoring and adaptive parameter adjustment technologies to improve automation; Optimizing mold materials and sealing structures to reduce maintenance costs; Designing modular equipment architectures to accommodate multi-specification product demands. Key conclusions demonstrate that the proposed technological advancements can increase molybdenum slab production efficiency by over 30%, reduce energy consumption by 20%, and significantly decrease defect rates and environmental pollution. The significance of this research lies in providing critical technological support for the large-scale and high-end development of the molybdenum slab industry, promoting its deep integration into strategic fields such as semiconductors and renewable energy, and accelerating the global manufacturing transition toward intelligence and low-carbon practices.
Keywords
Technological Innovation; Molybdenum Slabs; Intelligent Manufacturing; Sustainability
References
[1]Liu Qing, Xue De sheng, Gao Quan. Research Progress and Prospects of Global Semiconductor Industry Clusters: From the Perspective of Semiconductor Organization Models. World Regional Studies, 1-12 [2025-04-03]. [2]Huang Jianwen. High-Efficiency Self-Driven Photo-Electric-Hydrogen Conversion System for Hydrogen Energy Development. Sichuan Province, University of Electronic Science and Technology of China, 2023-03-15. [3]Zhang Yinghe. Temperature Compensation Algorithm for MEMS Gyroscope Based on Improved Innovation Adaptive Kalman Filter. Electro-Optics and Control, 1-7 [2025-04-03]. [4]Yang Yuanyuan. Obstacle Avoidance Path Planning and Visual Servo Control for Mobile Manipulators. Nanjing University of Science and Technology, 2023. [5]Jiang Sijie, Li Xiaoqiang, LI Jing, et al. Optimization of Control Error in Random Vibration Tests for Hydraulic Shaking Tables Based on Model Simulation. Environmental Technology, 2024, 42(4): 190-194+239. [6]Lu Guangyue. Digital Signal Processing and Applications. Posts & Telecom Press: 2022-01. 334. [7]Peng Feng, LI Liqiu, Mi Gen, et al. CAD Drawing Comparison Algorithm Based on Image Processing. Industrial Control Computer, 2024, 37(8): 91-93. [8]Yuan Xueqi, Wen Shenghong, Deng Huajun. Siemens S7-1200 PLC Programming and Application Tutorial Chemical Industry Press: 2024-11. 247. [9]Zhang Xing. Optimization and Application Analysis of Negative Pressure Secondary Dust Suppression System for Shearer. Mechanical Research & Application, 2025, 38(1): 151-153+156. [10]Feng Cheng, Zhang Zhiyu, Xiang Jin, et al. Numerical Simulation Study on Nitrogen Suppression of Explosion in Confined Spaces of Hydrogen Refueling Stations. Energy Engineering, 2024, 44(4): 95-100.
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