scholarly journals Training of Intelligent Maintenance Talents for the Mechanical Specialty for Intelligent Manufacturing

2019 ◽  
Author(s):  
Xiaoyun Gong ◽  
Guofu Luo ◽  
Hongwei Li* ◽  
Changjun Wu
Keyword(s):  
Intelligent Manufacturing ◽  
Intelligent Maintenance

scholarly journals A Review on Self-Recovery Regulation (SR) Technique for Unbalance Vibration of High-End Equipment

2020 ◽  
Vol 33 (1) ◽  
Author(s):  
Xin Pan ◽  
Jiaqiao Lu ◽  
Jiaji Huo ◽  
Jinji Gao ◽  
Haiqi Wu
Keyword(s):  
Machine Tools ◽  
Engineering Application ◽  
Intelligent Manufacturing ◽  
The Self ◽  
Basic Principles ◽  
Intelligent Maintenance ◽  
Mass Unbalance ◽  
Regulation Method ◽  
Important Direction ◽  
Aero Engines

AbstractThe high-end equipment represented by high-end machine tools and aero-engines is the core component of the national intelligent manufacturing plan, and the mass unbalance is the main reason for its excessive vibration, that seriously impacts the operation efficiency and running life of the equipment. In order to change the traditional way that the fault of equipment can only be repaired by human, the self-recovery mechanism of human and animal are given to the equipment in this paper, which forms the self-recovery regulation (SR) system for unbalance vibration of high-end equipment. The system can online generate the self-recovery force to restrain the unbalance vibration of the equipment in operation, which is an important direction for the development of the equipment to the advanced intelligent stage. Based on the basic principles of SR technique, the typical engineering application cases of this technique in the field of aeroengine and high-end machine tools are introduced, and four related studies promoting the development of this technique are summarized and analyzed in turn. It includes feature extraction, imbalance location, regulation method and balancing actuator. Self-recovery Regulation (SR) Technique is an important way to realize intelligent manufacturing and intelligent maintenance. Relevant research can lay a technical foundation for the development of high-end equipment with self-health function.

INTELLIGENT MAINTENANCE OF MINING MACHINES REDUCERS

2017 ◽  
Vol 12 (38) ◽  
pp. 369-392
Author(s):  
V.I. Klishin ◽  
◽  
B.L. Gerike ◽  
E.G. Kuzin ◽  
A.A. Mokrushev ◽  
...  
Keyword(s):  
Intelligent Maintenance

scholarly journals The diffusion mechanism of the application of intelligent manufacturing in SMEs model based on cellular automata

Open Physics ◽  
2021 ◽  
Vol 19 (1) ◽  
pp. 170-178
Author(s):  
Lei Wang ◽  
Sijia Yang ◽  
Wenqi Fan ◽  
Fangqing Tang
Keyword(s):  
Cellular Automata ◽  
Information Exchange ◽  
Market Competition ◽  
Diffusion Mechanism ◽  
Real Data ◽  
Intelligent Manufacturing ◽  
Industrial Clusters ◽  
Manufacturing Technology ◽  
Government Support ◽  
Support Policy

Abstract Based on the characteristics of intelligent manufacturing and the theory of technology diffusion, this paper constructs a cellular automata model with government support policy, information exchange, technology maturity, diffusion intermediary, and market competition as the influencing factors and analyzes the influence mechanism of the first three main factors on the diffusion of intelligent manufacturing technology in industrial clusters using MATLAB. This paper also makes an empirical analysis of the diffusion of intelligent manufacturing technology in the bearing industry cluster in Xinchang County and finds that the results are basically consistent by comparing the simulation data with the fit degree of the real data. In this paper, the diffusion intermediary and government support policy have the greatest influence on the application of intelligent manufacturing in small- and medium-sized enterprises, and the model proposed in this paper is effective.

scholarly journals Intelligent manufacturing of color blended yarn: Color matching algorithm and manufacturing process through computer numerically controlled ring spinning system

2021 ◽  
Vol 16 ◽  
pp. 155892502110065
Author(s):  
Peng Cui ◽  
Yuan Xue ◽  
Yuexing Liu ◽  
Xianqiang Sun
Keyword(s):  
Intelligent Manufacturing ◽  
Prediction Algorithm ◽  
Ring Spinning ◽  
Blended Yarn ◽  
Spun Yarn ◽  
Computer Numerically Controlled ◽  
Ring Spun Yarn ◽  
High Production ◽  
Color Prediction ◽  
Textile Products

Yarn-dyed textiles complement digital printing textiles, which hold promise for high production and environmentally friendly energy efficiencies. However, the complicated structures of color-blended yarns lead to unpredictable colors in textile products and become a roadblock to developing nonpollution textile products. In the present work, we propose a framework of intelligent manufacturing of color blended yarn by combining the color prediction algorithm with a self-developed computer numerically controlled (CNC) ring spinning system. The S-N model is used for the prediction of the color blending effect of the ring-spun yarn. The optimized blending ratios of ring-spun yarn are obtained based on the proposed linear model of parameter W. Subsequently, the CNC ring-spinning frame is used to manufacture color-blended yarns, which can configure the constituent fibers in such a way that different sections of yarn exhibit different colors.

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