Artificial intelligence has become the core engine of industrial change, and fiber lasers, as the "industrial heart" of high-end manufacturing, are ushering in a new era of AI empowerment. As the leader of domestic fiber lasers, Raycus Laser has taken the lead in deploying full-link AI, reconstructing R&D, manufacturing, operation and service models, establishing solid digital practices, setting a benchmark for AI empowerment in the industry, and demonstrating the innovative strength of Chinese laser companies.
AI technology is not a simple superposition of tools, but a systematic reconstruction of the entire value chain of lasers. It can achieve multiple values such as accelerated R&D, improved manufacturing, operational upgrades, and cost reduction, and has become a key support for laser companies to build their core competitiveness. Against this background, Raycus Laser is based at the forefront of the industry, with a system layout in the four dimensions of R&D, manufacturing, operation, and service, promoting full-link AI empowerment, reconstructing the laser manufacturing value system, and embarking on an industry-leading "laser + Al" development path.
AI-based R&D and design: accelerating innovation and upgrading, optimizing performance boundaries
R&D is the core competitiveness of laser companies, and AI technology is becoming the "catalyst" for Raycus Laser to accelerate innovation. Currently, Raycus Laser has deployed a variety of AI models to assist in research and development upgrades:
R&D design simulation can integrate various design and simulation data, and can quickly predict optical effects, mechanical effects, thermal effects, mode competition and other simulations during laser operation, effectively reducing simulation calculation costs, completing design iterations and extreme working condition verification in a virtual environment, significantly reducing physical prototype trial production, further reducing R&D costs and risks, and providing strong support for the rapid implementation of new technologies and new products.
R&D project process control, by collecting project breakdown, progress, working hours and other data, relying on embedded rules to achieve automatic data analysis and visual display, provide progress warning, quality tracking and other decision-making support, and efficiently promote the project management process.
