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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Thiede, Sebastian
University of Twente
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (12/12 displayed)
- 2022Integration of Energy Oriented Manufacturing Simulation into the Life Cycle Evaluation of Lightweight Body Partscitations
- 2021Machine learning and simulation-based surrogate modeling for improved process chain operationcitations
- 2021Modeling energy and resource use in additive manufacturing of automotive series parts with multi-jet fusion and selective laser sinteringcitations
- 2020Modeling the Impact of Manufacturing Uncertainties on Lithium-Ion Batteriescitations
- 2020Industrie 4.0 in der Galvanotechnik
- 2020Root Cause Analysis in Lithium-Ion Battery Production with FMEA-Based Large-Scale Bayesian Network
- 2020Integrated computational product and production engineering for multi-material lightweight structurescitations
- 2020Agent-Based Simulation Approach for Occupational Safety and Health Planningcitations
- 2020Model-based analysis, control and dosing of electroplating electrolytescitations
- 2019Modelling the Impact of Manufacturing Uncertainties on Lithium-Ion Batteriescitations
- 2012A hierarchical evaluation scheme for industrial process chainscitations
- 2011Synergies from process and energy oriented process chain simulation - A case study from the aluminium die casting industrycitations
Places of action
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article
Industrie 4.0 in der Galvanotechnik
Abstract
<p>Digital transformation offers great potential in the electroplating technology. Especially the use of data to imprvve the electrolyte control, to enable the introduction ofpredictive maintenance approaches or to increase the quality is an excitingfleld ofapplication. The article provides an overview of opportunities and obstacles concerning the introduction ofindustry 4.0, explains frequently used terms and introduces the topic ofdata acquisition, data analysis and Simulation. Finally, practical examples from projects of the Fraunhofer IPA, the IFF of the University ofStuttgart and the IWF of the TU Braunschweig will be used to present the first SME-suitable Solutions for digital transformation in the electroplating industry.</p>