Licensing Opportunity: System and Method for Artifact Reduction of Computed Tomography... Tender

Procurement Summary

Country : USA

Summary : Licensing Opportunity: System and Method for Artifact Reduction of Computed Tomography Reconstruction Leveraging Artificial Intelligence and a Priori Known Model for the Object of Interest

Deadline : 14 Oct 2024

Other Information

Notice Type : Tender

TOT Ref.No.: 106522510

Document Ref. No. : 2024-08-29_A

Financier : Self Financed

Purchaser Ownership : Public

Tender Value : Refer Document

Purchaser's Detail

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Tender Details

Description

Simurgh revolutionizes industrial CT imaging with AI, enhancing speed and accuracy in nondestructive testing for complex parts, reducing costs.

Computed tomography (CT) is a critical technology in nondestructive evaluation (NDE) for industries such as aerospace, automotive, biomedical, and energy. Traditional CT methods face challenges in detecting defects in dense and complex components due to limitations in scan speed, resolution, and artifact management. Simurgh revolutionizes industrial CT imaging by incorporating artificial intelligence (AI), resulting in cost reduction through enhanced speed and offering superior accuracy in nondestructive testing for complex parts.

Simurgh is an AI-powered CT framework developed by Oak Ridge National Laboratory (ORNL). This advanced technology integrates AI algorithms with physics-based modeling and computer-aided design data to enhance the quality and speed of CT scans. Simurgh enables high-quality reconstructions from sparse and low-exposure scans, significantly improving defect detection, and greatly reducing scan times.

Applications and Industries

Additive manufacturing (AM): Qualifies complex AM parts by providing rapid, high-resolution CT scans to detect flaws and ensure part integrity. Aerospace and automotive: Enhances safety and performance through accurate defect detection in critical components. Biomedical devices: Improves the quality assurance of medical implants and devices, ensuring patient safety. Energy industry: Assists in the evaluation of components used in energy production, enhancing reliability and efficiency.Benefits

Increased speed: Delivers scan times of 12 to 20 times faster than traditional methods. Enhanced accuracy: Improves defect detection capabilities by four times. Simurgh has reliably demonstrated that it can identify flaws as small as 50 µm-100 µm depending on material and related high energy industrial x-ray system capabilities with significantly faste...
Active Contract Opportunity
Notice ID : 2024-08-29_A
Related Notice
Department/Ind. Agency : ENERGY, DEPARTMENT OF
Sub-tier : ENERGY, DEPARTMENT OF
Office: ORNL UT-BATTELLE LLC-DOE CONTRACTOR
General Information
Contract Opportunity Type: Special Notice (Original)
All Dates/Times are: (UTC-04:00) EASTERN STANDARD TIME, NEW YORK, USA
Original Published Date: Aug 29, 2024 01:26 pm EDT
Original Response Date: Oct 14, 2024 05:00 pm EDT
Inactive Policy: Manual
Original Inactive Date: Oct 15, 2024
Initiative: None

Classification
Original Set Aside:
Product Service Code:
NAICS Code:
Place of Performance: Oak Ridge, TN 37830 USA

Documents

 Tender Notice