Simurgh
Category: Other
Developers: Oak Ridge National Laboratory
Product Description:Simurgh, an AI-based XCT framework, accelerates the scanning speed of nondestructive characterization of high-density (and other) metals by 12 times, with four times the resolution and six times improvement in flaw detection over industry-standard techniques. Simurgh saves costs, increases productivity, and eliminates the need for extensive data curation. Covered by US 17/392,645, ORNL ID 202004647, Simurgh Improves defect detection capabilities by four times, according to Oak Ridge National Laboratory. Simurgh has reliably demonstrated that it can identify flaws as small as 50 µm–100 µm. It lowers operational costs by reducing scan times, the need for extensive post-processing and manual input, and associated labor costs. It is also applicable across various industries including aerospace, automotive, biomedical, electronics, and advanced manufacturing. ORNL also highlights its scalability, noting that it facilitates high-throughput evaluation and testing, making it ideal for Industry 4.0 applications.
Developers: Oak Ridge National Laboratory
Product Description:Simurgh, an AI-based XCT framework, accelerates the scanning speed of nondestructive characterization of high-density (and other) metals by 12 times, with four times the resolution and six times improvement in flaw detection over industry-standard techniques. Simurgh saves costs, increases productivity, and eliminates the need for extensive data curation. Covered by US 17/392,645, ORNL ID 202004647, Simurgh Improves defect detection capabilities by four times, according to Oak Ridge National Laboratory. Simurgh has reliably demonstrated that it can identify flaws as small as 50 µm–100 µm. It lowers operational costs by reducing scan times, the need for extensive post-processing and manual input, and associated labor costs. It is also applicable across various industries including aerospace, automotive, biomedical, electronics, and advanced manufacturing. ORNL also highlights its scalability, noting that it facilitates high-throughput evaluation and testing, making it ideal for Industry 4.0 applications.
