close

Products
Simulation platform ISG-virtuos Getting started with VC Functions Our users Contact
Software core ISG-kernel Functions Documents and Downloads Online documentation Contact
Test automation ISG-dirigent Functions Documents and Downloads Contact
Online Platform TwinStore Your benefit Online Store Kontakt
Hardware Products ISG-Real-Time-Target ISG-Real-Time-Target Powerlink ISG-Workstation Contact

Solutions
Solution Scenarios Packaging machines Automotive Industry Component Manufacturer Robotics
Wiktionary Virtual Commissioning Simulation-based Engineering Hardware-in-the-Loop (HiL) Software-in-the-Loop (SiL)

Services
ISG-solutions Academy Project planning and application Process Optimization Service

Research
Research & Development Innovation Partnerships Our Research Projects

Company
ISG Company Profile Events Media Portal News

Career

Active research projects in the field of simulation

Connect4HCA | 2024-2028

Connectivity for Human-Centered Automation 5.0

Implementation of advanced connectivity technologies and structures in production

By taking a holistic view of connectivity, the Connect4HCA project places people at the centre of industrial automation. The concept of connectivity ranges from the integration of processes, plants, production lines and locations as well as supply chains to systems and data across their lifecycles. Furthermore, the term connectivity encompasses both the interaction from technology to technology and between human and artificial intelligence. In the future, decentralised technical intelligence will shape the entire value chain along the product life cycle together with humans. To this end, a holistic demonstrator is being created as a research platform, in which connectivity is considered in several dimensions.

 

Project partner

  • Balluff GmbH
  • DITF - German Institutes for Textile and Fibre Research Denkendorf
  • NAiSE GmbH
  • Fraunhofer
  • Siemens AG
  • Nokia
  • Arena 2036
  • University Stuttgart

 

Funded by the Federal Ministry of Education and Research.

SkaLab | 2023-2025

EIN SKALIERBARES ZENTRUM FÜR DIE FLEXIBLE HERSTELLUNG VON INDIVIDUALISERBAREN BAUTEILEN AUS BLECH

Im Projekt SkaLab entsteht eine skalierbare Biegezelle. Ziel ist die Entwicklung und Erprobung hochflexibler, in Serie herstellbarer Herstellungscenter für in allen Dimensionen skalierbare Karosserieblechbauteile (Geometrie, Halbzeug, Werkstoff, Fertigungsmenge). Die Herstellcenter sollen erstmals ermöglichen, die Prozessreihenfolge in der Serienproduktion bauteilindividuell verändern zu können. Damit sollen die Herstellkosten für neue, geometrisch unterschiedliche Karosserievarianten gesenkt werden.

 

Projektpartner

  • HMT Automotive
  • Franz Hof HmbH
  • MPA Technology
  • Fernuniversität Hagen
  • Universität Siegen
  • TWT
  • VIA Consult
  • voestalpine

TwinMaP | 2023 - 2025

Digital twin of a heterogeneous machine park for the complete machining of components

In the TwinMaP project, digital twins are created at various levels (e.g. simulation models for the VIBN) to optimise the production of small and medium batch sizes. A special feature is the heterogeneous machine park consisting of existing machines and new machines. 

The project is funded by the Federal Ministry of Economics and Climate Protection.

Project partners

ISG Industrielle Steuerungstechnik GmbH​ Trumpf Gruppe 
Daimler Truck – EvoBus GmbH​ VELIT Consulting GmbH & Co. KG
SimPlan AG​ ifak e.V.​ 
FORCAM GmbH​ IPI – Institut für Produktion und Informatik​, Technologietransferzentrum (TTZ) Sonthofen im Allgäu

 

FastPeM | 2023-2027

Senkung der Produktionskosten von Brennstoffzellen

Der Fokus des Projekts FastPeM: Beschleunigtes Prüfverfahren für eine Massenproduktion von Brennstoffzellen-Stacks liegt auf den der Brennstoffzellen-Stackfertigung nachgeschalteten Prüfprozessen und deren Optimierung.

Projektpartner

  • Campus Schwarzwald
  • Marquardt Management SE
  • teamtechnik Maschinen und Anlagen GmbH
  • Schnorr GmbH
  • Fraunhofer IPA

 

Gefördert durch das Ministerium für Wirtschaft, Arbeit und Tourismus Baden-Württemberg. Kofinanziert durch die Europäische Union. Teil von RegioWIN.

ViPro | 2022 - 2025

Virtual planning, design and commissioning of complex, robot-based processes for handling compliant objects

In many areas, the efficiency and quality of control software is already increasing through the use of virtual commissioning. Up to now, however, virtual commissioning has failed to simulate flexible objects, e.g. in the food, pharmaceutical and packaging industries.

The aim of the project is to develop new simulation methods that map the essential static and dynamic phenomena of handling compliant objects and enable simple modelling of these handling processes. This means that the advantages of a VIBN can also be utilised in handling applications for flexible objects.

The project is funded by the Federal Ministry of Education and Research on the basis of a decision by the German Bundestag.

Project partners

robomotion GmbHInstitut für Systemdynamik (ISYS), Universität Stuttgart

 

SDM4FZI | 2021 - 2024

Software-defined manufacturing for the automotive and supplier industry

In the large-scale project SDM4FZI, the topic of changeability in production is being addressed with 30 project partners.

The focus is on the efficient creation of software with the help of model-driven approaches and the use of digital twins in order to be able to carry out software tests across the entire life cycle and all levels of a production plant.

 

The project is funded by the Federal Ministry for Economic Affairs and Climate Protection on the basis of a decision by the German Bundestag.

Project partners:

Robert Bosch GmbHBosch Automotive Steering GmbHBosch Manufacturing Solutions GmbHBosch Rexroth AG
AUDI AGAudi Planung GmbHEPLAN GmbH & Co. KGTRUMPF Werkzeugmaschinen GmbH+Co.KG
HOMAG GmbHPilz GmbH & Co. KGABB AG - Forschungszentrum DeutschlandABB Automation Products GmbH
ABB Automation GmbHBalluff GmbHCarl zeiss Industrielle Messtechnik GmbHNAGEL Maschinen- und Werkzeugfabrik GmbH
HEITEC AGCODESYS Development GmbHISG Industrielle Steuerungstechnik GmbHSCALE it eG (i.G.)
ASCon Systems GmbHSimPlan AGSOTEC Software Entwicklungs GmbH+Co. Mikrocomputertechnik KGEXAPT Systemtechnik GmbH
KENBUN IT AGIngenieurbüro Roth GmbH & Co. KG23 Technologies GmbHflexis AG
Universität StuttgartKarlsruher Institut für Technologie

KausalAssist | 2021 - 2024

Causal graphs as a learning assistance system for automated error management in production

With the ever-increasing networking and software upgrades in production, additional highly qualified specialists are currently needed in fault management.

The KausaLAssist project aims to use AI-based causal graphs to learn error cases on the digital twin of the real plant. With the help of the trained causal relationships, the plant personnel can be supported in troubleshooting during operation and thus contribute to efficient fault management.

The project is funded by the Federal Ministry of Education and Research on the basis of a decision by the German Bundestag.

Project partners

Fraunhofer Institute for Machine Tools and Forming Technology IWUInstitut für Angewandte Informatik e.V.Schuster Maschinenbau GmbHKAMAX Tools & Equipment GmbH & Co. KG
Industry-Partner GmbH CoswigSEITEC GmbHqueo GmbH 

AICoM | 2021 - 2024

Learning machine tool for autonomous milling of customised workpieces

The aim is to develop a learning machine tool for metal-cutting production with the ability to adapt the process autonomously and to draw on learnt "knowledge" or learnt "experience" in order to be able to use the high level of process understanding required cost-effectively, even for small quantities.

The information required for this is fed back to AICoM through processed internal machine or external sensor data as well as through a scalable and real-time-capable process model.

The project is funded by the Federal Ministry of Education and Research on the basis of a decision by the German Bundestag.

Project partners

Technische Universität Darmstadt - Data Management

Technische Universität Darmstadt - Institut für Produktionsmanagement, Technologie und Werkzeugmaschinen

Gühring KG

Datron AG

ModuleWorks GmbH

Synop-Systems UG

Lorenz Hoffmann

 

 

KI-Control | 2021 - 2025

Research into automated control programming using machine learning

Digital twins are already being used today for virtual commissioning in order to be able to test control software independently of the hardware structure of the real system.

The aim of AI control is to use the digital twin as early as the control programming stage and to automate this using machine learning. This massively shortens the software development process, which offers an essential market advantage as the number of product variants increases and time-to-market decreases.

The project is funded by the Federal Ministry of Education and Research on the basis of a decision by the German Bundestag.

Project partners

Institut für Steuerungstechnik der Werkzeugmaschinen und Fertigungseinrichtungen (ISW)

Universität Stuttgart

IT Engineering Software Innovations GmbH