Visual-Environment Highlight of Visual-CFD: Adjoint Optimisation

The adjoint method has long been considered as the tool of choice for gradient-based optimisation in computational fluid dynamics (CFD). The adjoint method, allows computation of sensitivities, i.e. the derivative of the objective function with respect to the design variables and later shape optimisation. The OpenFOAM supports the continuous adjoint method, it is faster and requires less memory than the discrete adjoint method. However, it requires fine meshes to get desired/optimal output.
Visual-CFD makes it even simpler to define and calculate the sensitivities and optimisation with its ease-of-use functionality. Currently it is available for incompressible laminar and turbulent flows with objective functions of lift, drag, momentum for external flow and pressure loss for internal flows.