- Δεν υπάρχουν δεδομένα
Ελληνικά
- 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
Polish metal 3D printing company Amazemet uses the Xcelerator software combination from industrial manufacturing company Siemens.The spin off company of Warsaw University of Technology is using Siemens workflow management software to develop its metal powder atomizer and 3D printing post-processing equipment.Amazemet was founded in 2016, and its ultrasonic atomization device is capable of producin...
In the era of sustainable development and cutting-edge technology, the integration of 3D printing and culinary art is not only an innovation, but also a proof of human creativity. Imagine in such a world, your desserts are not just coming out of the kitchen, but carefully designed and printed layer by layer. This is not a glimpse of the distant future, but the reality of today, as developers have ...
Global semiconductor developer BluGlass Limited has received its first α Purchase order for gallium nitride distributed feedback laser.This client is a pioneer in photon and fiber laser technology and will use BluGlass's blue prototype DFB laser to develop cutting-edge defense, aviation, and scientific applications.Quantum sensing, navigation, and computing applications are driving a huge de...
Researchers at the University of Illinois at Urbana Champaign have developed compact visible wavelength achromatic mirrors using 3D printing and porous silicon, which are crucial for miniaturization and lightweight optical devices. These high-performance hybrid micro optical devices can achieve high focusing efficiency while minimizing volume and thickness. In addition, these microlenses c...
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...