Projects in the Business Area Multiphysics

Research and Development

Multiphysics simulations still is an open and active field of research with respect to numerical algorithms as well as modelling of the combined physical effects.

In the context of publicly funded projects and in cooperation with partners from industry and academia, the business area Multiphysics works on such open questions. The results and experiences from these projects are integrated in MpCCI software and solutions for industry.


The BonoKeram project is about increasing the flexibility, efficiency, and cost-effectiveness of gas turbines for power generation by providing components made of monolithic advanced ceramics. The project is funded by the German Federal Ministry for Economic Affairs and Energy (BMWi).
Project duration: 04/2020 - 03/2023

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NanoINHAL – In-vitro test method for airborne nanomaterials for the investigation of toxic potential and uptake after inhalative exposure using innovative organ-on-a-chip technology

The inhalative route is an important path for nanomaterials and other innovative materials in the nano- and microscale range. The lung is therefore an important target organ for acute toxic effects. At the same time, the barrier function of the lung determines the systemic uptake of the materials and the resulting effects on other organs. The aim of this project is to develop an innovative testing system for airborne nanomaterials based on the partners' existing know-how in the field of in vitro testing procedures. The project is funded by the German Federal Ministry of Education and Research within the scope of the topic Nano Safety Research: "NanoCare4.0 - Application-safe Material Innovations".
Project duration: 06/2019 - 05/2022

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VMAP - Virtual Material Modelling in Manufacturing

Missing software standards in virtual engineering workflows cause huge additional costs at manufacturing companies. Incompatible interfaces for the transfer of virtual material information require complex manual adaptation work, lead to inflexible technical solutions, create loss of information, and finally raise large time delays in the overall design process. The VMAP project will create new concepts for a universal material exchange interface for virtual engineering workflows. These concepts will be concretized in an open software standard. They will be implemented in a number of software tools and the benefits of integrated material handling will be demonstrated by six industrial use cases from different manufacturing domains and industry segments.
Project duration: 09/2017 - 10/2020


Material models and determination of characteristic values for the industrial application of forming and crash simulation taking into account the thermal treatments during coating in the process for high-strength materials. The project is funded by the Arbeitsgemeinschaft industrieller Forschungsvereinigungen (AiF) - Forschungsvereinigung Automobiltechnik e.V. (FAT).
Project duration: 01/2018 - 12/2021

digitalTPC – digital twins for thermoplast lightweight construction

The potential of digital twins is still largely untapped for cross-value-added chain and material-triggered process control. This also applies to plastic-based composite structures. The digitalTPC project is intended to demonstrate this potential by means of the hybrid injection moulding technology, which is currently establishing itself on the market and is capable of large series production, in which continuously fibre-reinforced tape-laminate semi-finished products are formed and back-injected.

digitalTPC aims at the comprehensive and holistic consideration of all sub-process steps from semi-finished product to component production. Relevant material, process and component characteristics (e.g. fibre orientation, pore content, degree of consolidation, temperature, pressure, etc.) are to be measured, recorded and virtually modelled and analyzed in a digital twin in local resolution across the entire real value chain. The challenge of the project is the material- and process-related intelligent acquisition of sensor data and their linkage with the integrated simulation chain within the framework of the digital twin by SCAI.
Project duration: 02/2019 - 01/2022

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MpCCI – self-learning and robust coupling methods

The goal of this project is the realization of application-specific MpCCI extensions for the modeling of manufacturing processes. These solutions will be implemented as separate add-on modules to MpCCI and made available to interested customers.
Project duration: 12/2018 - 11/2021

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