- 暫無數據
繁体中文
- 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
Main author: Yanming Zhang, Wentao Yana*The first unit: National University of SingaporePublished Journal: Acta MaterialiaResearch backgroundIndustry pain point: Although laser powder bed melting (LPBF) technology can manufacture complex components, the lack of consistent product quality is still the core bottleneck restricting its industrial application. Research has shown that up to 35% of proce...
NUBURU, the leading innovator of high-power and high brightness industrial blue laser technology, announced today that it has been awarded a second phase contract worth $850000 by the National Aeronautics and Space Administration (NASA) to advance blue laser power transmission technology as a unique solution that significantly reduces the size and weight of equipment required for lunar and Martian...
Shijia Photon disclosed its 2024 annual performance forecast on the evening of January 17th, expecting to achieve a revenue of 1.074 billion yuan in 2024, a year-on-year increase of 42.36%; Net profit attributable to the parent company was 65 million yuan, with a loss of 47.55 million yuan in the same period last year; Deducting non net profit is expected to be 48.1 million yuan, with a loss of 66...
For example, the commonly used square shell battery cells for power batteries include laser welding of cover explosion-proof valves, laser welding of pole columns, and laser welding of cover plates and shells. During the process of laser welding of aluminum alloy, it is easy to generate unqualified phenomena such as explosion points, pores, welding cracks, excessive depth and width of fusion. ...
It is reported that researchers from Foshan University, the Institute of Chemical Defense of the Academy of Military Sciences, the National Defense Technology Key Laboratory of Equipment Remanufacturing Technology of the Armored Forces Academy, and Chengdu State owned Jinjiang Machinery Factory have summarized and reported the latest progress of machine learning in defect detection and prediction ...