In-process Monitoring of Laser Powderbed Fusion

In-process Monitoring of Laser Powderbed Fusion

Software
In-process Monitoring of Laser Powderbed Fusion
In-process Monitoring of Laser Powderbed Fusion

Information

Monitoring of Laser Powderbed Fusion Process by using layer-wise data from optical, temperature and machine sensors. The analysis is carried out using artificial intelligence and machine learning models developed by Addiguru. Addiguru’s LPBF solution is a software solution designed for use with laser powder bed fusion (LPBF) machines. These cameras capture high-resolution images of the printing process, which are analyzed using advanced artificial intelligence (AI) algorithms to detect defects and inconsistencies in the printing process. Optical cameras are the primary source of layer-wise information that is processed by the AI algorithm. Machine sensor data and interlayer temperature data gathered from infrared cameras can provide additional insights to the AI algorithms and the users. The LPBF product includes a user interface that displays the real-time camera data and provides alerts and notifications to the user when anomalies are detected. This allows operators to quickly identify and address any issues that may arise during the printing process. Addiguru's LPBF product also provides tools for post-print analysis, allowing users to review and analyze the camera data collected during the printing process. This can help identify the root causes of any defects or quality issues that may have arisen during the print, and can inform improvements to the printing process for future prints. Overall, Addiguru's LPBF product is designed to improve the quality, consistency, and efficiency of the LPBF printing process, allowing users to create high-quality metal parts with confidence.
Addiguru1745Addiguru's real-time monitoring solution provides layer-wise monitoring of additive manufacturing processes using artificial intelligence algorithms. It detects defects and anomalies in real-time, allowing operators to quickly identify and correct issues before they impact production. This helps improve process reliability, reduce waste, and increase efficiency in additive manufacturing operations. Addiguru works on any LPBF or FFF machine, using primarily optical cameras, and also machine sensors and infrared cameras for interlayer temperature. When the software's artificial intelligence detects issues, it sends notifications immediately. It also makes available build quality reports. Addiguru is available as an independent installation, as well as through bundling with machines.

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