- Sem Dados
Português
- 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
Researchers from the Hanover Laser Center and Leibniz University in Germany reported on the mechanism of increased welding depth during time power modulation in high-power laser beam welding. The related paper titled "Mechanisms of Increasing Welding Depth during Temporary Power Modulation in High Power Laser Beam Welding" was published in Advanced Engineering Materials.Understanding the basic mec...
Due to advances in materials science by Stockholm researchers, changing the shape during flight to better handle airflow passing through its aircraft wings may be imminent. The trick involves the melting and drilling capabilities of lasers.Researchers from KTH Royal Institute of Technology in Stockholm, Sweden conducted experiments on paraffin. Using the 2D version of the material, they were able ...
Recently, high-performance laser supplier Skylark Lasers announced that it has raised $5 million in investment to further advance its efforts in miniaturized laser technology.Skylark Lasers is established at the center of the Scottish Photonics Cluster, focusing on the design and production of compact diode pumped solid-state (C-DPSS) lasers with the purest spectral characteristics, providing high...
The advanced testing platform of Liquid Instruments is now available for Apple Vision Pro, providing optical researchers with the first interactive 3D testing system. By integrating the Moku system with camera based visual devices, the efficiency of the laboratory has been significantly improved.The Moku platform utilizes the processing power of field programmable gate arrays (FPGAs) to provide a ...
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...