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Futuristic eVTOL design rendering

Aerospace emerging sectors: eVTOL design for success with MDO

Aug 2 2021 · 6 min read
The market for Urban Air Mobility and Regional Air Mobility is red hot. Globally, hundreds of startups are trying to impress potential investors. How can these startups have a better chance of success with their first clean sheet design? By fully embracing MDO in the design and engineering process.
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Two laptops securely connected to a network of interconnected systems thanks to APIs

Break down data silos and democratize the simulation process with APIs

Written by Matteo Gazzin
Jun 30 2021 · 5 min read
In today’s data-driven businesses, accessing enterprise-wide information is a must to maximize operational efficiencies and discover new opportunities. Indeed, nine out of ten IT leaders consider data silos as the main cause of significant business problems for most enterprises.
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CFD automation integration STAR CCM+ in modeFRONTIER workflow (illustration)

Design innovative products faster with integration and process automation in Computational Fluid Dynamics (CFD)

Written by Simone Genovese
Jun 8 2021 · 6 min read
Competing in today's global scene, developing products that stand out is every day more challenging. Manufacturing companies rely on the increased quality, high performance, and more significant innovation at a lower cost to differentiate their products and beat the competition.
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Freight trains and containers on tracks from above illustrate the complexity of port logistics optimization

BPMN in transportation: ESTECO's pivotal role in port logistics optimization

Written by Carlo Poloni
May 11 2021 · 8 min read
Our BPMN editor, Cardanit, was part of a project used to optimize the railway system model of the port of Trieste, in Italy, to find out current bottlenecks. Documental procedures and train movements became business processes to analyze and scrutinize in order to further develop the project.
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Machine learning and artificial intelligence represented in the form of a women head facing a data flow.

Machine Learning accelerates the simulation design process

Written by Marco Turchetto
Apr 20 2021 · 5 min read
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 where ML provides a real benefit to simulation-based computer experiments.
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