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Researcher
David Moens
- Disciplines:Other engineering and technology
Affiliations
- Mecha(tro)nic System Dynamics (LMSD) (Division)
Member
From1 Aug 2020 → Today - Manufacturing Processes and Systems (MaPS) (Division)
Member
From1 Aug 2020 → 31 Jul 2020 - Mechanical Engineering Technology, De Nayer (Sint-Katelijne-Waver) Campus (Technology cluster)
Member
From1 Oct 2013 → 31 Jul 2020 - Production Engineering, Machine Design and Automation (PMA) Section (Division)
Member
From1 Oct 2010 → 30 Sep 2011
Projects
1 - 10 of 36
- Economic Manufacturing Process of Recyclable Composite Materials for Durable Hydrogen StorageFrom1 Jan 2024 → TodayFunding: Horizon Europe - Digital, Industry and Space
- Real-time monitoring of the remaining useful life of an electronic system based on digital twin conceptsFrom24 Oct 2023 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Epistemic Uncertainty Quantification in Physical Model using Machine LearningFrom26 Jan 2023 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Automated tensile tester for the characterisation of the cross-section and tensile behaviour of synthetic and natural fibresFrom1 Jan 2023 → TodayFunding: BOF - scientific equipment program
- Neural Networks under Epistemic Uncertainty for Robust PredictionFrom5 Nov 2021 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Digital Image Correlation enriched quantification of polymorphic random field uncertainty in finite-element modelsFrom28 Oct 2021 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Robust and reliable simulation of resistance pressure welding processesFrom8 Oct 2021 → TodayFunding: FWO Strategic Basic Research Grant
- A grey-box approach for robust resistance pressure welding monitoringFrom1 Oct 2021 → TodayFunding: IOF - technology concept exploration
- Uncertainty in Artificial IntelligenceFrom30 Sep 2021 → 2 Jun 2022Funding: Own budget, for example: patrimony, inscription fees, gifts
- Thermal modelling and online heat transfer estimation using active learning grey-box approachesFrom21 Sep 2021 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
Publications
1 - 10 of 212
- Certified interval model updating using scenario optimization(2024)
Authors: Robin Callens, David Moens, Matthias Faes
Number of pages: 11 - The impact of micro- and mesoscale spatial variability on composite pressure vessel failure(2024)
Authors: Ben Van Bavel, Dirk Vandepitte, David Moens
Pages: 1 - 17Number of pages: 17 - Interval Reduced Order Surrogate Modelling Framework for Uncertainty Quantification(2024)
Authors: Adam Faza, Keivan Shariatmadar, Hans Hallez, David Moens
- Investigation of fiber content evaluation methods of carbon fiber reinforced thermoplastic composites(2024)
Authors: Kasahun Niguse Asfew, David Moens, Jan Ivens
Pages: 128 - 145 - A topology-based in-plane filtering technique for the combined topology and discrete fiber orientation optimization(2023)
Authors: Konstantinos Ypsilantis, Matthias Faes, Jan Ivens, David Moens
- Efficient quantification of composite spatial variability: A multiscale framework that captures intercorrelation(2023)
Authors: Ben Van Bavel, Yinglun Zhao, Matthias Faes, Dirk Vandepitte, David Moens
Pages: 1 - 9 - Certified interval model updating using scenario optimisation(2023)
Authors: Robin Callens, David Moens, Matthias Faes
Pages: 408 - 418Number of pages: 11 - Near-real-time online process control using grey-box models(2023)
Authors: Miriam Dodt, Augustin Persoons, Matthias Faes, David Moens
Number of pages: 8 - A machine learning approach for efficient and robust resistance spot welding monitoring(2023)
Authors: Lars Bogaerts, Arnout Dejans, Matthias Faes, David Moens
Pages: 1923 - 1935 - Copper-aluminium joining by novel locked projection welding process(2023)
Authors: Arnout Dejans, David Moens, Patrick Van Rymenant
Pages: 1707 - 1717
Linked dataset
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