SBIR/STTR Research Award

Automated Geometry and Mesh Updates for Accelerator Shape Optimization

Award identifier 1004dc859de53ffac09b1c70d281ba714001ef877f5c56cd18f91ee2925c4135Awarding agency Department of Energy

Award amount

$999,515

Program and phase

SBIR · Phase II

Award year

2019

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Award details

Awarding agency
Department of Energy
Branch
Not reported
Recipient company
SIMMETRIX, INC.
Proposal award date
2019-08-19
Contract end date
2021-08-18
UEI
PLYJMZNJWCN3
Solicitation number
DE-FOA-0001976
Topic code
24b

Research abstract

Accelerators are complex scientific instruments requiring significant resources to design and build.At the largest scale, accelerators for use in physics discovery are billion-dollar-class facilities that take decades to develop.Medical accelerators can cost millions of dollars.Other electromagnetic applications include threat detection, antenna design, wireless device design, and cancer treatment.Simulation codes have been developed for these systems which include the ability to determine the optimal shape for components using advanced optimization techniques.However, the current optimization process is not suitable for general usage due to limitations on how it implements geometry and mesh updates needed for the simulation.By removing these limitations, this project will make these powerful design tools available to a wide audience.This project will develop software components that enable the fully automatic geometry optimization of accelerator and other systems.Specific capabilities to be developed will provide the ability to: a) define shape optimization parameters on an existing geometric model of a component and update the geometry based on changes to those parameters, b) automatically update the computational mesh based on changes to the geometric model shape, c) integrate with the simulation codes and optimization process to provide fully automatic shape optimization capabilities.Implementation of additional geometry update functionality to support typical accelerator geometry was done and linked to new procedures for local mesh updates based on mesh motion and local remeshing.The ability to calculated needed derivative information for the optimizer was implemented, interfaced with the solver and optimizer, and demonstrated on an example accelerator geometry.The geometry and meshing capabilities will continue to be advanced to address more complex geometries and to support operation in a parallel computing environment.The integration with the optimizer/solver will be fully implemented and optimized.Highly complex, real world problems will be used to demonstrate the resulting capabilites.The project will provide industry, government labs and universities an effective means to take full advantage of existing parallel simulation software.The development and introduction of these geometry and meshing technologies will allow industry to broadly integrate high performance parallel simulations into their design processes.Truly automatic shape optimization procedures will enable more efficient and higher performance designs to be quickly realized, providing savings in both design and operation.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

51 SBIR/STTR records share this UEI (1997–2025). Reported award amounts total $19,416,923. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, Department of Energy, National Science Foundation, National Aeronautics and Space Administration, Department of Health and Human Services

Agency intelligence

Department of Energy

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