- No Data
English
- 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
How can EMAG Laser Technology accelerate the production of critical powertrain components using its flagship product ELC 6 system?The rapid popularity of electric vehicles worldwide indicates that production planners must increase their efforts in producing key components of electric vehicles, particularly the rotor shaft. The importance of the rotor shaft as the core component for converting elec...
Optical parametric oscillator laser tests fibers and components to characterize the spectral response of optical components, thereby providing a competitive advantage in the optical industry.OPO lasers have long been used in complex testing and measurement applications, such as mass spectrometry, photoacoustic imaging, and spectroscopy. Now, these "tunable" pulse lasers are being used to facilitat...
Recently, American fiber laser giant IPG Photonics announced the launch of a new laser series specifically designed for the additive manufacturing field.The highlight of this series of lasers lies in its integration of IPG's unique dual beam technology, which can independently regulate and simultaneously emit core and ring beams, setting a new benchmark in accuracy, efficiency, and reliability.Ba...
Hyperspectral imaging technology is a highly anticipated innovation in the field of science and engineering today. It not only integrates spectroscopy and imaging technology, but also has wide applications in various industries and research fields. This article will delve into the basic principles, working mechanisms, and applications of hyperspectral imaging in different fields.Introduction to hy...
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...