R&D in General

When you face new challenges you will always find a comprehensive partner for research and development in DYNAmore.

As a medium-sized company, DYNAmore has frequent contacts in funded projects due to its scientific orientation. We work in projects funded by EU, by German government, by Austrian government, by German states and the ones which are locally funded. Projects are carried out jointly with universities, research institutions and other companies in the areas of automobile, aerospace and automation industry. In the area of software development, we work with the funding programs which support specific innovative software projects at DYNAmore.

We have participated in the following research projects:

administration/licensing of simulation for the homologation of vehicles (Project Partners: Audi, Opel, FIAT, BAST, ...).
Simulation of human interaction with robots (Project partners: Technical University of Munich, ABB, ...)
Active muscle systems for human models (Project partners: vif, Daimler, BMW, Bosch, ...)
Optimization, Robustness, Reliability (Projekt partners: BMW, TU Dresden)
Multi-disciplinary optimization (project partners: Porsche, DaimlerChrysler, Karmann, ...)
Topology Optimization for Crash (Partners: ASCS, HAW Hamburg, SFE, ...)
Software Development - Process Management for crash load cases (Bavarian State Ministry for Economics and Technology)
Innovative design of forming tools (Project partners: Daimler, ThyssenKrupp, Volkswagen, ...)
Materials Innovation through integration of nanotechnology (Project Partners: ...).

Projects with participation of DYNAmore

DigiTain

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.

KI-Last

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

ATTENTION - Artificial intelligence for real-time injury prediction

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.

CO2-HyChain

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.

Titanium Solution Treated and Rapid Quenching (TISTRAQ)

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.

Artificial Intelligence for Material Models (AIMM)

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.

DFA – Digital Fingerprint

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

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

ZIM FFC

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.

AIAx

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.

DigiBody

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

3DProCar

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.

EXTREME

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

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

Swim-RTM

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

T-Pult

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

TWIP4EU

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.

WING

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.

ENFASS

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.

IMAUF

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.