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Design Software(cfd) - List of Manufacturers, Suppliers, Companies and Products

Design Software Product List

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Turbo machinery design software 'COMPAL'

Turbo machinery design software 'COMPAL'

Three calculation modes! Software equipped with a seamless link function to "AxCent".

"COMPAL" is software designed for centrifugal/inclined flow compressors, featuring mean line design and performance evaluation functions at design and off-design points. It includes three calculation modes: design mode, analysis mode, and data reduction mode. With a rich layout, it allows for the design of any diffuser and outlet elements. It has a function for examining design parameters using correlation maps and converting to any scale size for scale testing. 【Features】 ■ Allows for the design of any diffuser and outlet elements with a rich layout ■ Examination of design parameters using correlation maps ■ Conversion function to any scale size for scale testing ■ Seamless linking function to the 3D design software "AxCent" *For more details, please refer to the related links or feel free to contact us.

  • Embedded system design service

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[Case Study] Optimization of Fan Blades 'AIPOD'

[Case Study] Optimization of Fan Blades 'AIPOD'

A case study of FsTech's uniquely developed general-purpose optimization design platform!

We would like to introduce a case study on the optimization of fan blades using our intelligent optimization software "AIPOD." This software employs optimization algorithms specifically designed to address issues such as the high costs of numerical simulations in the field of industrial design. An optimization calculation was performed targeting nine design variables, with the objective function being the minimization of total pressure loss and a CFD calculation of 150 cases. The optimization calculation achieved a performance improvement of 19.21%, surpassing the 14.69% of competing software. [Case Overview] - By turning on the Bound-break function during the AIPOD optimization process, optimization results exceeding expectations were obtained. - In this case, since the range of the set design variables was relatively reasonable, the more optimal candidate solutions obtained by both methods are included within the design space. *For more details, please download the PDF or feel free to contact us.

  • ファンブレードの最適化2.png
  • Other Software

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