Discover how designers, engineers and managers benefit from ESTECO Technology to simplify their DESIGN&BUILD process. Using VOLTA simulation process & data management, and design optimization capabilities, they collaboratively assessed the performance of structural elements of a...
The internal flow in turbomachines is extremely complex due to the level of details of the blades, with different angles and different levels of curvature and thickness, as well as the characteristics of the channel between blades that is a direct reflection of the geometry employed,...
Shape has long been an important parameter in improving the internal comfort of buildings and reducing energy demand. Using a shape factor to reduce the building envelope and to minimise thermal loss is incorporated into the Dutch Building codes for a long time, aimed at a...
Squeak & Rattle (S&R) are undesired sounds that are caused when two components come in contact with each other. They give the user a feeling of the possibility of a quality issue. In modern premium cars, user comfort is of utmost importance and these undesired sounds must be...
Bouygues Construction R&D is exploring multidisciplinary design automation in AEC components. Specifically, this presentation describes the optimization of a floor and sketches the first benefits and challenges of this method and provide some feedback on the use of...
Funded by the European Union, the GASVESSEL project aims to prove the techno-economic feasibility of a new transport concept for compressed natural gas (CNG). ESTECO, in partnership with other industrial organizations from the energy, Oil&Gas and naval engineering...
The Central Business District (CBD) of Ahmedabad in India, planned to be developed by 2040, will have an increased floor space, five times of what it is in 2020. This will double the cooling energy demand if contemporary practices are followed. Moreover, the Energy...
During the concept development phase of vehicles and architectures we must consider simultaneously the key architectural attributes, critical subsystems, regulations and cost.
modeFRONTIER provides us an ideal platform to integrate the analysis between all those parameters,...
This paper applies convolutional neural networks to simulated HAADF-STEM images generated from a simulation coded for this project. Due to the recent advances in scanning transmission electron microscopy (STEM) techniques there has been a significant increase in the size and quality of...
