05/27/2025, 07:06 AM UTC
拥有“眼睛”和“大脑”的激光器：机器学习简化工业激光加工A Laser with 'Eyes' and a 'Brain': Machine Learning Simplifies Industrial Laser Processes
➀ 瑞士联邦材料科学与技术研究所（Empa）的研究人员开发了机器学习算法，通过实时光学数据分析优化激光金属加工（如粉末床熔融3D打印和焊接），将成本高昂的初步试验减少了三分之二；
➁ 该系统采用FPGA芯片实现焊接过程中激光参数的实时精准控制，可应对材料缺陷和变化性，提升生产一致性；
➂ 该方法降低了技术门槛，使非专业人士也能操作精密激光设备，有望推动先进激光制造技术的工业普及。
➀ Empa researchers developed machine learning (ML) algorithms to optimize laser-based metal processing, such as 3D printing (Powder Bed Fusion) and welding, reducing costly preliminary trials by two-thirds through real-time optical data analysis;
➁ The ML system uses FPGA chips for precise, real-time control of laser parameters during welding, addressing material defects and variability to improve consistency;
➂ This approach enhances accessibility for non-experts, potentially enabling broader industrial adoption of advanced laser manufacturing techniques.
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