The presentation at ISimT26 demonstrates an enhanced methodology for the design of centrifugal compressors used in high-temperature heat pump (HTHP) applications.
Understand blade loading and 3D Inverse Design from first principles, eliminating costly trial-and-error blade design and enabling efficient machine learning for optimal turbomachinery solutions
See how Machine Learning and 3D inverse design combine to rapidly engineer fully optimized wastewater pumps across complex design spaces.
See how FISCHER optimized high-speed compressors using 3D Inverse Design. The method slashes development time by 75%, controls flow, and meets strict performance specs.
This new release takes a significant leap forward by dramatically enhancing CAE integration capabilities, extending its predictive power, and optimizing for manufacturing, and more.
Discover how a Machine Learning algorithm optimized a hydraulic turbine runner in hours on a standard desktop, finding a new design with a different blade count. It achieved improved efficiency and cavitation margin across all operating points.
Learn how Machine Learning and 3D inverse design optimize centrifugal compressors using advanced turbomachinery design techniques.
ADT engineers redesigned an existing blood pump for more pressure rise for Acute Decompensated Heart Failure (ADHF) treatment application.
Learn how Machine Learning and 3D inverse design optimize Axial Fan performance using advanced turbomachinery design techniques.
