Licensing Opportunity: A New Hybrid Explicit-Implicit Method to Accelerate Large-Scale Transient Thermal Stress Analysis
| Location: |
Tennessee |
| Posted: |
Sep 11, 2024 |
| Due: |
Oct 26, 2024 |
| Agency: |
ENERGY, DEPARTMENT OF |
| Type of Government: |
Federal |
| Category: |
- A - Research and development
|
| Solicitation No: |
2024-09-11_G |
| Publication URL: |
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Licensing Opportunity: A New Hybrid Explicit-Implicit Method to Accelerate Large-Scale Transient Thermal Stress Analysis
Active
Contract Opportunity
Department/Ind. Agency
ENERGY, DEPARTMENT OF
Sub-tier
ENERGY, DEPARTMENT OF
Office
ORNL UT-BATTELLE LLC-DOE CONTRACTOR
General Information
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Contract Opportunity Type: Special Notice (Original)
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All Dates/Times are: (UTC-04:00) EASTERN STANDARD TIME, NEW YORK, USA
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Original Published Date: Sep 11, 2024 10:14 am EDT
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Original Response Date: Oct 26, 2024 05:00 pm EDT
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Inactive Policy: Manual
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Original Inactive Date:
Oct 27, 2024
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Initiative:
Classification
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Original Set Aside:
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Product Service Code:
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NAICS Code:
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Place of Performance:
Oak Ridge
,
TN
37830
USA
Description
Invention Reference Number: 202405606
Finite element (FE) numerical computation method is widely used to facilitate the design and optimization of manufacturing processes using two types of solvers, implicit and explicit. The implicit solver is difficult to handle very large-scale problems due to the complexity to solve a large matrix of equations. The explicit solver has a requirement of a very small time increment. This technology is a novel hybrid explicit-implicit FE numerical method designed to accelerate simulation of very large-scale transient thermomechanical processes such as welding and additive manufacturing.
Description
This technology is a new algorithm for a new hybrid approach for thermomechanical processes such as welding and additive manufacturing. This combines two approaches, implicit and explicit simulation. The code can automatically switch from one to another for accuracy prediction, and still can scale up. The algorithm is designed to run on today’s GPU-based high performance computers, drastically reducing computational time while yielding good results for a large class of transient thermomechanical processes characterized by numerous heating and cooling cycles such as multi-pass welding and additive manufacturing of metallic structures.
Benefits
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Shortens computational time
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Improved accuracy
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Solves large-scale thermomechanical AM issues
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Reduced produce development time
Applications and Industries
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Additive manufacturing
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Welding
Contact
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.
Attachments/Links
Contact Information
Contracting Office Address
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Oak Ridge National Laboratory PO Box 2008
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Oak Ridge , TN 37831
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USA
Secondary Point of Contact
History
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Sep 11, 2024 10:14 am EDTSpecial Notice (Original)
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