Freiburg, 79104,
Germany
Fraunhofer Institute for High-Speed-Dynamics, Ernst-Mach-Institut Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Fraunhofer Institute for High-Speed-Dynamics, Ernst-Mach-Institut and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 321 Fraunhofer Institute for High-Speed-Dynamics, Ernst-Mach-Institut employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Fraunhofer Institute for High-Speed-Dynamics, Ernst-Mach-Institut has purchased the following applications: Abacus Umantis Applicant Management for Applicant Tracking System in 2016, ANSYS Autodyn for Material Simulation in 2011 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Fraunhofer Institute for High-Speed-Dynamics, Ernst-Mach-Institut is running and its propensity to invest more and deepen its relationship with Abacus Research , Ansys Inc. or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing Fraunhofer Institute for High-Speed-Dynamics, Ernst-Mach-Institut revenues, which have grown to $30.0 million in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for Fraunhofer Institute for High-Speed-Dynamics, Ernst-Mach-Institut intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Abacus Research | Legacy | Abacus Umantis Applicant Management | Applicant Tracking System | HCM | n/a | 2016 | 2016 |
|
PLM and Engineering
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Ansys Inc. | Legacy | ANSYS Autodyn | Material Simulation | PLM and Engineering | n/a | 2011 | 2011 |
In 2011, Fraunhofer Institute for High-Speed-Dynamics, Ernst-Mach-Institut implemented ANSYS Autodyn to support Equations of Motion modeling across its research and industry projects, with a focus on project acquisition, planning and management. The deployment anchored numerical simulation capability directly into the institute workflow that supports project leads, experimental testing teams and CAE engineers responsible for composite material characterization and structural response analysis.
ANSYS Autodyn was configured to handle explicit dynamics and finite element method simulations of composite structures and materials, leveraging material model libraries and explicit solver workflows typical for Equations of Motion use cases. The implementation supported FEM simulations alongside LS-Dyna based analyses, enabling comparative numerical simulation and validation planning for impact and high strain-rate events.
The ANSYS Autodyn implementation integrated with CAD design inputs produced in Autodesk-Inventor and with CAE constructions used by the institute, providing a pipeline from CAD geometry through mesh preparation to explicit simulation setups. Operational coverage included research groups focused on experimental testing and characterisation, project leads orchestrating national and international project partners, and CAE teams coordinating numerical simulations and test-program planning.
Governance and process changes centered on structured planning and coordination of experimental programs, CAE constructions and numerical simulations, with project lead responsibilities explicitly tied to scheduling and validation activities. The implementation emphasized repeatable simulation workflows for composite materials, tighter alignment between experimental characterization and model configuration, and formalized handoffs between design, test and simulation functions.
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