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.
02/12/2020 | written by Marco Turchetto From meaningless numbers to data-driven decisions in engineering product design The biggest challenge with data today isn’t how to handle it from a technical and technological point of view. Rather, it has to do with turning data into valuable insights necessary to predict the optimal next step of the design iteration. Storytelling is an essential part of data interpretation when it comes to enterprise-wide collaboration on product design which is the norm in the era of...
06/11/2020 | written by Matteo Gazzin Beyond the cloud: handling on-demand workloads with VOLTA elastic distributed execution Nowadays, the challenges of multidisciplinary design and optimization include collaboration, process automation, execution, and data analytics. To fulfill these requirements, medium and large companies need, at the very least, a common or shared repository infrastructure and a complex and powerful hardware environment where engineers can manage data and execute simulations.
03/08/2020 | written by Roel Van De Velde Digital Engineering: Why every engineer should be part of the MDO process Big changes in aircraft development are coming. The COVID-19 pandemic is having massive implications on commercial aviation. With the entire industry coming to a grinding halt, state governments have acted quickly to protect the A&D industries that are so critical for the economy and national security.
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.
