SimuVersity – Simufact’s scientific initiative

Knowledge transfer between industry and science

With our scientific initiative SimuVersity, we support the transfer of knowledge between science and industry in the fields of forming, welding and additive manufacturing simulation, material science and other associated disciplines. Simufact has become a link between academic research and development as well as the industrial application of this knowledge.

SimuVersity enables universities, research facilities and research clusters to advance their research and development projects by using professional simulation software with academic licenses – independent of whether they are projects funded by a university or a commercial business.

Simufact supports the training of students in the use of simulation software and teaches special courses on specialized models and functional extensions can be implemented and validated in the software.

The initiative SimuVersity has grown to become a unique, international network of academic partners with innovative activities in forming and welding simulation.

Another aspect of our commitment to the exchange of knowledge with the academic world is our Scientific Awards that are held annually.

Opportunities and Benefits

Goals and cornerstones of the initiative

Introducing young academics to the topic of simulation at an early stage
Offering a product platform to implement one's own ideas and models
Discovering and supporting talent (e.g. with internships in Hamburg)
Involving students in industrial projects at an early stage

Our offer to academic institutions

We provide our partners with the necessary software licenses
Support in the form of education and training
We link industrial customers and academic partners in joint projects

Download Brochure:

Read our SimuVersity brochure (2.2 MB)

Simufact Classes – Space for research activities

In Simufact Classes, students start by learning how to use our simulation software Simufact Forming, Simufact Welding, and Simufact Additive. In order to create as much freedom as possible for research activities, we also offer specialized training in R&D. During the classes we focus on the knowledge needed to implement into the software, all the necessary steps in creating your own routines, models and analyses via an interface created for this purpose.

To enable this, our academic partners are completely independent of future updates and new releases and can therefore, integrate and test their own development within the software quickly and easily. This also helps meet the increasing demand for improved time-to-market and cost-to-market ratios. There are hardly any products and process developments that cannot be validated using simulation.

A prerequisite for the successful commercialization of innovations is often to prove that the new product or process can be virtually simulated. Simufact's open architecture philosophy creates the space for all its academic partners to do just that in a timely manner and with a project orientation.

Simufact Open Architecture

app. The innovative simulation tool from the customer perspective — The innovative simulation tool from the customer perspective

Within the academic or research environment, an important aspect of the software’s use is the option to add one's own models with the help of user subroutines, standardized APIs and structure. Simulation is more effective when new models and features needed by industry can be integrated into the software quickly and easily, and solve efficiently.

Simufact’s Open Architecture approach offers both academic and industrial R&I teams the opportunity to integrate their own routines and approaches easily, including integration within the software’s graphical user interface.

Highlights of Simufact Open Architecture

Supports individual state variables for nodes and elements
Transmits state variables in multi-step tasks
Stores user-defined parameters from projects, so they can be utilized in the solver
Integers, real variables and strings
New support programs enabling the user to access further information more quickly
New material interface for flow curve approaches with up to 16 table-dependent parameters, GUI supported
Windows and Linux supported

Customer Example

In order to illustrate our open architecture, here is an example from one of our customers. The distribution of an alloy element (here: chromium) shall be calculated and visualized. The calculation was achieved with an external model approach in this case, but could have been calculated directly within Simufact.forming with the appropriate user subroutine. With Simufact.forming, the user generates the desired element variables and assigns names to them (upper part of the image) with one click of the mouse. In the subsequent post-processing, these user-defined variables are automatically displayed as scalar result variables and can, again with the click of the mouse, be activated and visualized (lower part of the image).