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[Case Study] Optimization of Ship Shape (2) 'AIPOD'

A case that demonstrates the ability to appropriately support the discovery of efficient design areas that had been excluded from consideration!

We would like to introduce a case study on the optimization of ship shapes (2) using our intelligent optimization software "AIPOD." This software is designed to be very user-friendly, even for those who are just starting with optimization. We conducted optimization calculations targeting eight design variables, with the objective function being the minimum resistance coefficient, two constraint conditions, and a CFD calculation of 100 cases. The optimization calculation with 83 cases achieved a performance improvement of 4.68%, surpassing the 4.13% of competing software. [Case Overview] - By turning on the Bound-break function during the optimization process of AIPOD, we obtained optimization results that exceeded expectations. - It can appropriately support the discovery of efficient design areas that were previously considered outside the scope of consideration. *For more details, please download the PDF or feel free to contact us.

  • 船型の最適化(2)2.PNG
  • 船型の最適化(2)3.PNG
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[Case Study] Optimization of Ship Shape (1) 'AIPOD'

Achieved a 5.01% performance improvement through optimization calculations! This result surpasses the 3.36% of competing software.

We would like to introduce a case study on the optimization of ship shapes using our intelligent optimization software "AIPOD." This software is designed to achieve maximum optimization efficiency. An optimization calculation was performed targeting six design variables, with the objective function being the minimum resistance coefficient and two constraint conditions, using 64 CFD cases. The optimization calculation with 64 cases achieved a performance improvement of 5.01%, surpassing the 3.36% of competing software. 【Case Overview】 ■ By turning on the Bound-break function during the optimization process of AIPOD, we obtained optimization results that exceeded expectations. ■ AIPOD quickly breaks through artificially created optimization barriers to reach the ideal optimal candidate solution. *For more details, please download the PDF or feel free to contact us.

  • 船型の最適化(1)2.PNG
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[Case Study] Optimization of Hub Shape for Axial Flow Fans 'AIPOD'

Achieved a performance improvement of 52.31%, surpassing the 49.36% of competing software!

We would like to introduce a case study on the optimization of the hub shape of a diagonal flow fan using our intelligent optimization software "AIPOD." This software efficiently finds superior design solutions for structural, thermal fluid, acoustic, and multiphysics coupling problems. We conducted optimization calculations targeting 14 design variables, with the objective function being the maximum pressure difference at the inlet and outlet, and one constraint condition, using 150 CFD calculation cases. The optimization calculations resulted in a performance improvement of 52.31%, surpassing the 49.36% achieved by competing software. [Case Overview] - By enabling the Bound-break function during the AIPOD optimization process, we obtained optimization results that exceeded expectations. - Although competing software was able to capture efficient design areas for several design variables, it was limited to exploring only within that range due to constraints, preventing the discovery of further optimal candidate solutions. *For more details, please download the PDF or feel free to contact us.

  • 斜流ファンのハブ形状の最適化2.PNG
  • 斜流ファンのハブ形状の最適化3.PNG
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