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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
11 - 20 of 213
- Copper-aluminium joining by novel locked projection welding process(2023)
Authors: Arnout Dejans, David Moens, Patrick Van Rymenant
Pages: 1707 - 1717 - A self-learning Digital Twin for Process Control of fast processes under Uncertainty(2023)
Authors: Miriam Dodt, Augustin Persoons, Matthias Faes, David Moens
Pages: 486 - 499Number of pages: 14 - Robust design optimization of expensive stochastic simulators under lack-of-knowledge(2023)
Authors: Koen van Mierlo, Augustin Persoons, Matthias Faes, David Moens
- Multi-physical modelling of resistance spot welding including validation(2023)
Authors: Bouwe Verkens, Matthias Faes, David Moens
Number of pages: 14 - Numerical and experimental lifetime assessment of multi-material adhesively joined structures(2023)
Authors: Rens Vervaeke, David Moens, Dirk Vandepitte
- Design for crashworthiness under epistemic uncertainty(2023)
Authors: Koen van Mierlo, David Moens, Matthias Faes
- Robust design optimisation under lack-of-knowledge uncertainty(2023)
Authors: Koen van Mierlo, Augustin Persoons, Matthias Faes, David Moens
- Towards robust dissimilar joining and overall process monitoring in resistance welding(2023)
Authors: Arnout Dejans, Patrick Van Rymenant, David Moens
- Bayesian parameter estimation of ligament properties based on tibio-femoral kinematics during squatting(2023)
Authors: Laura Bartsoen, Matthias Faes, David Moens, Ilse Jonkers, Jos Vander Sloten
- Temperature Dependence of Thermophysical Properties of Carbon/Polyamide Composite(2022)
Authors: Kasahun Niguse Asfew, Jan Ivens, David Moens
Pages: 224 - 231Number of pages: 1196
Linked dataset
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