POC
HIPERREL
The experiment aims to improve reliability in metal and rubber parts production using Plexalytics software. HPC will be used to handle extensive computing capacities. The project aims to identify errors […]
HPC for canned food dynamics
The COVID-19 pandemic has increased demand for canned food, particularly sterilization equipment. This project proposes an innovative tool using OpenFOAM and HPC to aid design and manufacturing processes of autoclaves, […]
APPLICATION OF HPC TOOLS FOR THE OPTIMIZATION OF 3D-PRINTED ORTHOPAEDIC DEVICES
The project incorporates HPC tools in the manufacturing process of CastPrint products to reduce printing time and material, increase mechanical strength and wearability through improved ventilation of the cast. This […]
High-performance computing for profile extrusion
This experiment aims to develop a computational framework for profile extrusion die design in HPC facilities, reducing development costs and time to market. The consortium includes manufacturing, research, and engineering […]
CLOUD-BASED MULTIPHYSICS SIMULATION OF BATTERY COOLING
The experiment proposes a workflow for Wamtechnik to use cloud-based simulations in its design process. It starts with defining the battery module’s geometry, then the QSA battery simulation software is […]
Ozone and dissolved air flotation systems
3D-CFD simulations will be used to improve an ozonation reactor and a dissolved air flotation reactor in wastewater treatment plants. The goal is to reduce investment and operational costs, improve […]
SEA GROWTH: HPC OPTIMIZING AQUACULTURE PRODUCTIVITY
The experiment aims to improve inefficient operations in aquaculture facilities. The project proposes the use of AI-based simulations on HPC resources to improve the productivity of fish farming.
Cloud-based multiphysics simulation for MEMS micro speaker design and development
USound GmbH is developing MEMS miniature piezoelectric speakers. These speakers offer smaller form factors, low heat generation, and improved linearity. However, production is expensive and time-consuming. A HPC solution is […]
Improvement of the remote expert system based on software OTEA
Heating and cooling contribute to half of the EU’s energy demand. To meet climate goals, the sector must reduce energy consumption. Machine Learning models and statistical techniques can help manage […]
Digester 2.0: Optimization of the anaerobic digestion process for biogas generation
Anaerobic digestion produces methane-rich biogas streams for energy generation. This experiment aims to prove an optimal energy balance can be obtained in small-scale digesters. A computational modeling solution is developed […]