CFTurbo 2020 R1.1.32

CFTurbo is powerful, yet easy to use, pump design software that can help you design pumps from scratch or redesign existing impellers. Simply tell it the flow rate, head, RPM, and any (optional) pre-swirl and CFTurbo will automatically generate a pump design. You then have the option of going back and changing any details of the design with CFTurbo's guidance. This easy, but flexible, approach to pump design saves you time and still lets you get exactly the pump design you want.

3D CAD model
Dynamic 3D-representation (rotate, move, zoom)
Highly configurable partial views
Export of CAD model
Import of existing geometry for comparison

Parametric geometry model
Properties of all design steps available as parameters
Parametrics can be exported
Optionally, range limits can be specified for parameter variations
Eeasy integration into optimization workflows or DoE inverstigations

Reverse Engineering
Redesign of existing geometry as starting point for optimization
Import of existing meridional curves with automated conversion to Bezier splines
Blade design based on given blade angles on leading and trailing edge or import existing meanline curves
Input or import of blade thickness distribution (blade profiles)
Comparison of imported IGES/ STEP data with the redesigned 3D model

Meridian
Meridional preview of project components
Quick access to design steps
Handling interfaces between components
Select active component
Show progressions for area, velocity, flow angle

Project management
Management of project information
Design report with the option of restoring previous design status
Display of warnings regarding specific parameters
Display of key design details

Data export
Export of points, curves, surfaces, solids
Neutral interfaces (STEP, IGES, STL, DXF)
Interfaces to important CAD and CFD systems
Implementation of special interfaces on customer request

Performance prediction
Display of performance curves for different rotational speed and impeller diameters
Calculation of fundamental impeller losses based on empirical correlations