Delivering digital continuity. End-to-end process automation, from simulation workflows to high-level business decisions, is key for effective digital engineering.

Zero lead-time was one of the key topics at the 8th annual ESTECO Users’ Meeting North America held in Plymouth, MI in October.

VOLTA Services bridge the gap between simulation workflows and business processes, enabling a wider audience of engineers to seamlessly perform multidisciplinary design optimization (MDO) tasks

How ESTECO VOLTA and modeFRONTIER software solutions support organizations to embrace the necessary digitalization shift in product development.

Python RSM bridge in modeFRONTIER is a very effective way of dealing with complexity, at any level, when creating RSM models.

When dealing with large amounts of data, analyzing them is a challenging task. Clustering techniques come in handy for such data analyses.

We met with Manabu Kawaji from the Component Development Group at AISIN Corporation. He shares his experience in using our modeFRONTIER design optimization software to perfect electric powertrain components.

The idea behind Machine Learning is that systems can learn from data, identify patterns on their own and make decisions with minimal human intervention. The same applies to engineering and CAE-based product design.

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.

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.