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Shorter time to solution with SAMG
The role and importance of numerical simulation for industry is immense. It is continually increasing, as computing-based simulation approaches enter an increasing number of industrial sectors, and become mission-critical components in industrial processes.
PackAssistant: Software for fast And optimal container load planning
Making the best use of container space can save both transportation and storage costs. One simply needs to find the right way to arrange the objects to be packed in the available container space. Experienced packing planners usually spend a lot of time meticulously arranging and packing parts with complex shapes but, nevertheless, in most cases they will not achieve the same packing density as realized with PackAssistant.
The PackAssistant software calculates the optimal packing arrangement of identical parts in standard containers by using 3D designs (CAD). This also works for parts with complex shapes, as the software will identify and take the individual shape of the object into account.
Optimierung für Ressourcen- und Materialeffizienz
Fraunhofer SCAI entwickelt Optimierungssoftware für Ressourcen- und Materialeffizienz in Produktion und Logistik. Unsere Kernkompetenz umfasst dabei vielfältige Angebote zur Effizienzsteigerung
Optimierung & Simulation für Produktion, Logistik und Materialfluss
Fraunhofer SCAI realisiert die Modellierung und Simulation von Produktions und Logistikprozessen.
Wir unterstützen unsere Kunden bei der Steigerung ihrer Effizienz und beim Entwurf neuer Produktionssysteme. Mit Sensitivitätsanalysen untersuchen wir das Verhalten von Produktionssystemen in Extremsituationen und entwickeln gemeinsam mit unseren Kunden Alternativ- und Notfallstrategien.
Unsere Simulations- und Optimierungsleistungen konzentrieren sich auf die innerbetriebliche Logistik.
Computer-Aided Robust Design
We call a design robust if small changes in the initial conditions will only have minimal impact on the results. The robustness and quality of production processes and products suffer from variations occurring in a range of parameters relating to defining features such as material properties, process parameters, variations in geometry. Analyzing and controlling the effects of these variations helps in the identification of robust and optimal settings under realistic conditions.
Virtual Material Design
Many of the challenges of the 21st century – such as the development of new and improved energy systems, environmentally-friendly systems, and improved ICT technologies for health and mobility – will rely on the availability of a new generation of materials. That those materials can be designed and created depends on interdisciplinary research teams from science and application-oriented engineering producing new technologies in the areas of nanotechnology and material science.
Tremolo-X – Molecular Dynamics Simulation
Tremolo-X is a powerful software package used for the numerical simulation of interactions between atoms and molecules, the molecular dynamics. Tremolo-X provides the environment to design new innovative materials.
Download Tremolo-X [PDF, 1 MB]
Why Fluid-Structure-Interaction Models are so important to win the next Race
With Formula 1 being one of the most popular motorsports on the globe, there is always high pressure to provide excellent performance as a way to retain existing and attract new audiences. As the FIA regulations are quite clear-cut in terms of limitations leading to a close competition, engineers are digging for the smallest advantages. This leads to taking interactions of CFD with other physical effects into account to get a complete understanding of all effects involved. MpCCI CouplingEnvironment from Fraunhofer SCAI has been integrated into the design workflows of leading F1 teams and is successfully used to optimize the aerodynamic behavior of the car while taking the structural behavior into account.
Download Formula 1 [PDF, 1.3 MB]
Machine Learning and HPC for Industrial Applications
Fraunhofer SCAI, based on its expertise in numerical simulation and algorithms, combines HPC and ML for breakthroughs in industrial practice. SCAI’s work is focused on the development of new and intelligent algorithms and on the adaptation of data analysis methods to the speci c needs of application projects.
Download Machine Learning [PDF, 1.5 MB]
Fraunhofer Institute for Algorithms and Scientific Computing SCAI
