10/03/2021 | written by Danilo di Stefano
Reducing the complexity of design space exploration with sensitivity analysis
Engineering problems can involve a large number of design variables. But not all of the inputs have an equal effect on the output. Considering them all can dramatically reduce the efficiency of Design of Experiments (DOE) or optimization studies. In this scenario, you can also experience difficulties when building Response Surface Models (RSM). Most probably your dataset includes needless parameters which make your RSM training unnecessarily more complex.
13/07/2020 | written by Danilo di Stefano
Python for engineers: The benefits of executing codes in an automated workflow for design optimization
Why Python meets engineering needs
Nowadays, deep expertise in scripting languages and programming became a valuable skill set for engineers and R&D professionals in general to perform process automation, data analysis, and visualization.