Stefan Boschert

Siemens (Germany)

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Roland Rosen

Siemens (Germany)

Franz Schmalhofer

Osnabrück University

Uliana Soellner

Siemens (Germany)

Christoph Kiener

Siemens (Germany)

Rosa M. Badía

Barcelona Supercomputing Center

Peter Hehenberger

University of Applied Sciences Upper Austria

Robert Otto

Siemens (Germany)

Ralph Bergmann

Universität Trier

P. Dold

Tohoku University

Enrique S. Quintana–Ort́ı

Universitat Politècnica de València

Cooperative Institutions

Universitat Politècnica de Catalunya

University of Freiburg

Siemens (Germany)

Barcelona Supercomputing Center

Istituto Nazionale di Geofisica e Vulcanologia

Johannes Kepler University of Linz

Technische Universität Braunschweig

Technical University of Munich

Central Maine Community College

CMCC Foundation - Euro-Mediterranean Center on Climate Change

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Learning program abstractions: Formal model and empirical validation

North-Holland eBooks (1993)

Franz Schmalhofer Ralph Bergmann Stefan Boschert Jörg Thoben

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Citations (1)

Simulation of Industrial Crystal Growth by the Vertical Bridgman Method

Springer eBooks (2003)

Gerhard Dziuk Stefan Boschert Alfred Schmidt Kunibert G. Siebert Eberhard Bänsch

10.1007/978-3-642-55753-8_26

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Citations (11)

On the Importance of Simulation and Digital Twin for Industrial Applications

Simulation foundations, methods and applications (2024)

Stefan Boschert Christoph Heinrich Vincent Malik Roland Rosen Uliana Soellner

10.1007/978-3-031-69107-2_5

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Citations (0)

Differences in verbalizations during knowledge acquisition from texts, and discovery learning from example situations

Text - Interdisciplinary Journal for the Study of Discourse (1988)

Franz Schmalhofer Stefan Boschert

Article Differences in verbalizations during knowledge acquisition from texts, and discovery learning from example situations was published on January 1, 1988 in the journal Text & Talk (volume 8, issue 4).

Knowledge Acquisition

Discovery Learning

10.1515/text.1.1988.8.4.369

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Citations (2)

Anisotropic Microsegregation in the Growth of Doped III-V-Semiconductors from Solution

Crystal Research and Technology (2018)

A.N. Danilewsky J. Meinhardt Stefan Boschert G. Bischopink

Abstract In this paper, a consistent formulation of macro‐ and microsegregation is presented to describe dopant inhomogeneities and concentration variations in binary and multinary III‐V‐semiconductor crystals grown from metallic solution. The effective distribution and diffusion coefficients respectively are calculated by applying the classical segregation models for zone melting and are based on experimental data. From the macroscopic effective distribution coefficient k eff the microscopic kinetic distribution coefficient k kin is derived, which varies along a curved growth face, in particular along a macrostep. As a consequence of this surface anisotropy, the fluxes of the dissolved species through the interface vary as well and cause local changes in the liquidus distribution of species. The liquidus concentration is calculated by means of 2‐dimesional numerical simulations. The extracted liquidus concentration along the interface combined with the locally changing kinetic distribution coefficient allows the calculation of the solidus concentration along the macrostep. The result is the consistent description of microsegregation as a result of an anisotropic interface on a µm‐scale and the macro‐segregation on a mm‐ or cm‐scale. This could be tested experimentally in a diffusion dominated growth regime under microgravity.

Liquidus

Solidus

10.1002/crat.201700264

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Citations (1)

Digital Twin: a Second Life for Engineering Models.

ERCIM news/ERCIM news online edition (2018)

Stefan Boschert Roland Rosen

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Citations (2)

Simulation of micro-CT acquired geometry of additively manufactured open porosities

Procedia CIRP (2024)

Uliana Soellner Robert Otto Christoph Kiener Knut Sørby Stefan Boschert

10.1016/j.procir.2024.08.287

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Citations (0)

Next Generation Digital Twin: an Ecosystem for Mechatronic Systems?

IFAC-PapersOnLine (2019)

Roland Rosen Jan Fischer Stefan Boschert

The Digital Twin is considered as one of the key technology trends and attracts high attention in academic and application-specific publications. Besides the general understanding of the Digital Twin as a digital replica of a physical asset, many different perspectives and conceptions exist. In this paper, we will give an overview of different viewpoints of the Digital Twin and its related aspects. Furthermore, we describe a technological vision of a next generation Digital Twin and its application in the field of mechatronics systems. Motivated from a technical- and simulation-influenced perspective, we look at the economic aspects of the Digital Twin and give an answer to the question if the next generation Digital Twin will form an ecosystem. Based on an exemplary lemonade production, a system of mechatronic systems, we show the main principles of our technical vision: a network of digital artefacts empowered by semantic technologies, the transfer of models between partners in the value chain and along the lifecycle as well as the use of models to generate new services - especially in the operation and service phase - like a Digital Plant Companion.

Viewpoints

10.1016/j.ifacol.2019.11.685

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Citations (64)

Voxel-based 3D reconstruction of additively manufactured open porous structures for CFD simulation

The International Journal of Advanced Manufacturing Technology (2024)

Robert Otto Uliana Soellner Christoph Kiener Stefan Boschert Roland Wüchner

Abstract With the ability to manufacture complex functional structures, Additive Manufacturing (AM) enables new advanced applications which could not be realized before. An example of such structures is open porous structures. In the presented approach, the open porous structures are a result of the selected manufacturing parameters, instead of being defined in CAD models. Thereby, various porosities can be achieved flexibly without design adjustments. However, to comprehensively understand the correlation of manufacturing parameters and different properties, various tests are required. As an alternative, properties can be determined by means of simulation. This study presents 3D reconstructions of complex open porous structures, which are based on μ-CT imaging. The influence of the downsampling during voxelization on the 3D reconstructed geometry is studied. Further, different polyhedral mesh settings have been tested in order to find a mesh that minimizes the deviation between the CFD simulation results and the laboratory test results for flow resistance. A guideline for the creation of a calibrated CFD model based on μ-CT imaging is proposed. As it is acknowledged by the authors that the data availability to reconstruct shown cases is crucial, data for a reference case have been made freely available online. Graphical Abstract

Upsampling

Complex geometry

10.1007/s00170-024-14169-4

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A finite volume method on NURBS geometries and its application in isogeometric fluid–structure interaction

Mathematics and Computers in Simulation (2012)

Ch. Heinrich Bernd Simeon Stefan Boschert

Isogeometric analysis

Solver

Fluid–structure interaction

Regular grid

10.1016/j.matcom.2012.03.008

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Citations (20)