Tubular Reactor Surrogate Model Application
Application ID: 120381
This alternative version of the Tubular Reactor app demonstrates how computational speed can be significantly increased by using a surrogate model instead of a full finite element model.
A surrogate model is a simplified, computationally efficient approximation of a more complex and resource-intensive model. By enabling faster evaluations, the surrogate model enhances interactivity.
This app demonstrates the following:
- Adjusting input parameters via sliders, with near-instantaneous updates to the solution retrieved from the surrogate model
- Comparing the surrogate model solution with the full finite element solution
- Efficient geometry sampling for data generation to be used for surrogate model training.
In this case, the surrogate model is a Deep Neural Network (DNN). The surrogate model has 5 input parameters in total: 3 for the activation energy, thermal conductivity, and heat of reaction, and 2 for the spatial coordinates.
This application does not require any add-on products.
This application example illustrates applications of this type that would nominally be built using the following products:
however, additional products may be required to completely define and model it. Furthermore, this example may also be defined and modeled using components from the following product combinations:
The combination of COMSOL® products required to model your application depends on several factors and may include boundary conditions, material properties, physics interfaces, and part libraries. Particular functionality may be common to several products. To determine the right combination of products for your modeling needs, review the Tabella delle Funzionalità and make use of a free evaluation license. The COMSOL Sales and Support teams are available for answering any questions you may have regarding this.