Application of sustainable power and laser washing device in garment design
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Xiaoli Luan
Abstract
With social progress, economic development, the rapid improvement of science, technology and productivity, and the profound change of social productivity, there has been a serious energy and environmental crisis all over the world. By using the candle burning effect of laser, the laser cleaning device can directly absorb the laser energy, vaporize and decompose the pollutants on the surface of clothing materials, so as to achieve the purpose of cleaning. Energy is an important material basis for human survival and development. Stable, reliable and safe energy supply system and efficient, economic and clean energy utilization are indispensable. The prediction of the development trend of solar power generation technology shows that the trend of optical fiber power generation is clear. The combination of sustainable power and laser water washing device is applied to the garment cleaning process. It analyzes that the garment materials are affected by the laser cleaning speed and laser cleaning power in the cleaning process, and adjusts the appropriate parameters to achieve effective cleaning. The application of sustainable power generated by photovoltaic power generation to the actual process of clothing can not only reduce the consumption of natural resources, environmental pollution and other problems, but also be applied to clothing and other manufacturing industries without restrictions. In the era of sustainable development, energy plays an important role in the coordinated development of economy, society and environment. When the carbon fiber surface is cleaned by laser, the relationship between cleaning spacing, cleaning speed, cleaning area and cleaning time is conducive to formulate a reasonable cleaning scheme. According to the experimental research, when the power P = 100 W, the carbon fiber surface is cleaned of particulate matter, and the laser-cleaned surface is in better condition than when it is treated at high temperatures.
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Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
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Research funding: None declared.
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Conflict of interest statement: The authors declare no conflicts of interest regarding this article.
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© 2022 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Frontmatter
- Research Articles
- Fault diagnosis of ship power equipment based on adaptive neural network
- Application of sustainable power and laser washing device in garment design
- Automatic monitoring system of power equipment based on Internet of Things technology
- Intelligent algorithm of electrical fire monitoring system based on data mining technology
- Vector correlation learning and pairwise optimization feature selection for false data injection attack detection in smart grid
- ZIP load modeling for single and aggregate loads and CVR factor estimation
- Upper limb movement simulation and biomechanical characteristics during human movement
- Intelligent home control system based on BP neural network speech recognition
- User-side precision marketing model of integrated energy service system
- Building carbon neutrality goals break down strategies for sustainable energy development
- Energy-saving intelligent manufacturing optimization scheme for new energy vehicles
Artikel in diesem Heft
- Frontmatter
- Research Articles
- Fault diagnosis of ship power equipment based on adaptive neural network
- Application of sustainable power and laser washing device in garment design
- Automatic monitoring system of power equipment based on Internet of Things technology
- Intelligent algorithm of electrical fire monitoring system based on data mining technology
- Vector correlation learning and pairwise optimization feature selection for false data injection attack detection in smart grid
- ZIP load modeling for single and aggregate loads and CVR factor estimation
- Upper limb movement simulation and biomechanical characteristics during human movement
- Intelligent home control system based on BP neural network speech recognition
- User-side precision marketing model of integrated energy service system
- Building carbon neutrality goals break down strategies for sustainable energy development
- Energy-saving intelligent manufacturing optimization scheme for new energy vehicles
