Examples

In the research project DigiTain, processes, methods and models for fully digital product development and certification of sustainable electric drive architectures are being developed and tested using a technology carrier.

AI-based strategy for the optimal design of additive manufactured lattice structures for crash applications

The aim of the ATTENTION research project is to develop a method for predicting injuries to vulnerable road users (VRU) such as pedestrians or cyclists in real time, based on machine learning methods.

The "CO2-HyChain" research project is intended to drive forward research into innovative lightweight designs and further develop existing solutions for the production of high-strength aluminum and hybrid aluminum-steel tailor-welded blanks. The objective is to significantly reduce CO2 emissions from passenger cars.

The main objective of the joint project TISTRAQ (TItanium Solution Treated & RApid Quenching), which is funded by the BMWi starting 1.7.2020 as part of the German government's aviation research program, is the development of a forming process for energy- and material-efficient production of sheet metal parts made of α+β titanium alloys.

The objective of the Artificial Intelligence for Material Models (AIMM) research project is to complement and/or replace the classical model-based material characterization with an alternative, data-driven material modeling.

The subsequent project of the Digital Prototype DigitPro is called Digital Fingerprint (DFA) and aims for the “intelligent data collection, processing, and transfer along the entire value chain – for the intelligent component and the versatile autonomous factory of the future!

VMAP - A new Interface Standard for Integrated Virtual Material Modelling in Manufacturing Industry

Development of a generic approach for the determination of yield curve and yield locus parameters for sheet metal materials by means of digital image correlation.

Machine Learning-driven Engineering - CAx goes AIAx. Together with renowned partners, DYNAmore is involved in this research project, which further develops the existing ML processes with regard to traceability and robustness.

The "DigiBody" project consortium consists of inpro, Arena2036 partners and other leading German companies in the joining sector.

As part of the "3DProCar" project, an efficient and cost-effective process chain for the production of complex thermoplastic fiber reinforced composites structures was developed and technologically implemented.

The European industry is currently a world leader in aviation and to maintain its leading position and competitiveness in the dynamic global market, Europe’s industry must develop quickly and efficiently high-quality products.

ARENA 2036 – the first „research campus: public-private cooperation for innovation” which is funded by the BMBF.

Together with partners algorithms and software tools for process engineering and design, applied to the RTM method (resin transfer molding) will be developed.

BMBF-funded research project: Energy efficient pultrusion process for the production of composite parts with a thermoset matrix in series applications.

RFCS funded project in which DYNAmore works with partners to develop a simulation framework to accurately model the complex deformation and forming behaviour of TWIP steels.

The new research program WING (Innovation of Material for Industry and Society) was published in 2004. Therein the classical material research with the basic discipline chemistry and the nanotechnology is integrated for the first time.

ENhanced Formality Assessment of AHSS sheets – DYNAmore joined an international research consortium of key partners in a three-year EU project entitled ENFASS to improve the application of modern, advanced high-strength steel sheets in the automotive industry.

The IMAUF stands for 'Innovative Methods for the Dimensioning of Forming Dies in Vehicle Construction'. The project IMAUF is dealing with the development of innovative forming tools based on newly developed virtual construction- and optimization principles combined with a newly applied surface coating technology.

The aim of this project which is funded by the Free State of Saxony and the European Union is the research and development of methods for sensitivity analysis of nonlinear models.

DYNAmore GmbH is a partner in this DFG funded subproject of SFB 528.

For the transfer and adaptation of new strategies for design of structures, particularly in a very early design stage, DYNAmore GmbH is there for you as a practice partner.

The aim of the BMBF-funded research project is the methodological and software implementation of an industrial operational procedure for topology optimization of the cross sections of extruded sections for crash load cases.