- Geen gegevens
Nederlands
- English
- 简体中文
- 繁体中文
- Français
- Русский
- Italiano
- 日本語
- 한국어
- Português
- Deutsch
- Español
- Türkçe
- Ελληνικά
- Nederlands
- Tiếng Việt
- Polski
Recently, the research team of the State Key Laboratory of Intense Field Laser Physics of the Chinese Academy of Sciences Shanghai Institute of Optics and Fine Mechanics has made progress in the research on the repetition rate dependent femtosecond laser air filamentation self focusing threshold. The relevant research results were published in Optics Express under the title "Pulse repetition rate ...
In the era of smart factories, Mercedes Benz monitors all fast lasers in its global production network based on cloud, significantly improving system resilience and reducing the risk of machine downtime. The connection between the Mercedes Benz digital ecosystem MO360 and the Trumpf laser for digital prediction services has helped achieve very good dynamic maintenance, and achieved demand based ...
Recently, Shao Jianda, a researcher of Shanghai Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Jin Yunxia, a researcher team, and Li Chaoyang, a researcher of Zhangjiang Laboratory, have made breakthroughs in the field of ultra wideband pulse compression gratings.The research team has successfully developed a ultra 400 nm broadband gold grating for single cycle pulse com...
Of the three primary stepper motor designs — permanent magnet, variable reluctance, and hybrid — hybrid stepper motors are arguably the most popular in industrial applications, combining the best performance characteristics of permanent magnet and variable reluctance types.Hybrid stepper motors are constructed with a rotor made of two sections, or cups, with a permanent magnet between ...
Researchers at the Federal Institute of Technology in Lausanne have resolved the long-standing debate surrounding laser additive manufacturing processes through a groundbreaking defect detection method.The development of laser additive manufacturing is often hindered by unexpected defects. Traditional monitoring methods, such as thermal imaging and machine learning algorithms, have shown significa...