In the technical setting, insight is traditionally acquired with experiments, trial-and-error, and testing. For example, in a laboratory or workshop, on a test bench, or through a prototype. Each manufacturing process is driven by the underlying physical mechanisms. The parameter space of industrialized processes is huge and experimentation expensive. Even small changes in a process parameter might lead to large effects, whether wanted or not. The differentiation between a ‘good’ and a ‘bad’ process often lies in the deepness of the knowledge.
Save valuable test time and know your process before investing
Whether upscaling or modifying an existing process or designing a new process from scratch: Knowing that the process works with the available machinery will significantly reduce your investment risk. We provide the full service to digitally test, evaluate, and modify processes.
We have a track-record of creating positive business cases for our customers. Read the success stories from our customers to get an impression on our unparalleled multiphysics know how.
Complex high-temperature processes are controlled by various parameters to develop the right operating conditions for a given product. In this success story, we use computational fluid dynamics (CFD) to optimize operating conditions.
Industrial heat treatment processes for metals, ceramic materials, and glasses must have specified process parameters to reach the desired quality and quantity. We used a computational fluid dynamics (CFD) model to test a furnace design with a first-time-right approach.