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Optimization Solver
Optimization Solver

Airfoil Weight Reduction Optimization Without Structural Trade-Offs

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Challenges
  • Aerospace prioritizes lightweight, strong designs for improved performance and cost.
  • Complex wing airfoil optimization can involve 70,000+ design variables, overwhelming traditional methods.
  • Classical optimization struggles with complex designs, geometries and numerous variables.

Results

BQPhy’s Optimization solver powered by QIEO algorithms achieves 6% more weight reduction compared to classical methods  

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Converges to solution in fewer iterations (upto 90% fewer iterations compared to Genetic Algorithms) resulting in compute costs and time savings

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QIEO improves Optimization over classical GA

6%

More weight reduction

‍

90%
Fewer iterations
Lesser computing resources & Time
Go Beyond Classical Limits.
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