Multibeam Technology

Since the 2000’s, QiOVA’s team has been pioneering the dynamic shaping of laser beams applied to high energy and high power laser processing.

QiOVA has developped and patented a unique technology, coined Multibeam technology, which allows to generate 10, 100 or 1000 of beamlets from one single laser beam. Beamlets energy and location are controlled independently by the software, in a dynamic manner.

Multibeam technology principle: 1 SHOT = 1 SHAPE
Live demonstration of dynamic beam shaping with Multibeam technology

There are different optical techniques to shape a laser beam. The most common are masks, Refractive or Diffractive Optical Elements (ROE/DOE), Digital Micro-Mirrors Devices (DMD) and Liquid Crystals-Spatial Light Modulators (LC-SLM).

Qiova’s Multibeam technology is based on LC-SLMs because these devices offer a unique combination of advantages making them especially well-suited to modern laser processing: LC-SLM are programmable by software in a dynamic manner ; they allow to modulate the phase of light, which ensures stable optical transmission despite changing beam patterns ; finally, they allow to reach a spatial accuracy down to 1 ┬Ám, required to run state-of-the art material processing applications.

Beam Shaping Technologies Overview

LC-SLM liquid crystal technology is the same as the display technology widely used for TV or smartphone screens. LC-SLM is intrinsically a very mature and robust technology.

Furthermore, QiOVA has developped a unique know-how and understanding about the LC-SLM device operation. LC-SLMs being mainly used for low power or low energy applications like optical tweezers, it is absolutely critical to understand the damage mechanisms and their respective thresholds to deliver industrial-grade reliability. QiOVA has therefore developed proprietary models to predicts catastrophic optical damage, which allows to safely specify range of operation of our products. Other key areas of expertise include performance degradation mechanisms and the mastering of the algorithms driving the LC-SLM.