This means that we will always have information about velocity, pressure, and turbulence. Primal Field Information: Solving the Navier-Stokes equations, along with any turbulence model, is the first step in the adjoint optimization algorithm.The available output to the engineer during and after the optimization is: one flow condition) at a single value of objective weight, typically between 0.1 and 10. Overall, SOO is for a single physical operating point (i.e. The objective value itself converges over time, making it relatively straightforward to identify the “best” solution. Figure 1: Convergence of a single objective value vs iteration for a steady-state continuous adjoint optimization Figure 1 shows an arbitrary single objective value vs iteration for a steady state. minimize power loss) and then we attempt to optimize towards a global or local optimum. SOO defines the goal of the optimization is (e.g. Single objective optimization (SOO) is a starting point for multi-objective optimization. Multi-objective optimization within HELYX Adjoint provides Engineers the technology to easily explore design space and obtain an optimal morphed surface or topology to satisfy multiple objectives. maximizing mass flow while maximizing swirl for an inlet port of an internal combustion engine cylinder. Oftentimes, real designs must satisfy multiple objectives e.g. Engineers leveraging next generation optimization methods, such as continuous adjoint, can quickly gain valuable insight needed to enhance their products. Topology optimization has proven to be an integral tool in the virtual prototyping process within industry.
0 kommentar(er)
