We all know that CAD is for designing a product and CAE is for testing and simulating it.
Computer-Aided Engineering (CAE) is a tool that supports finding the outcome by applying a discrete solution of partial differential equations for the phenomena to be analyzed.
CAE reduces the potential for errors in design, users avoid over-engineering, and the effect of altering a few parameters on the product can be studied.
Even though CAE has built a strong reputation as a verification, troubleshooting and analysis tool, there is still a perception that sufficiently accurate results come rather late in the design cycle to really drive the design. Smart systems lead to an increased need for multi-physics analysis including controls and contain new materials, to which engineers are often less familiar.
#simulation #machine-learning #analytics