< Back to previous page
Researcher
Sam Coppieters
- Disciplines:Metallurgical engineering
Affiliations
- Structural Composites and Alloys, Integrity and Nondestructive Testing (SCALINT) (Division)
Member
From1 Aug 2020 → Today - Materials Technology, Ghent and Aalst Technology Campuses (Technology cluster)
Member
From1 Oct 2013 → 31 Jul 2020 - Department of Materials Engineering (Department)
Member
From1 Sep 2008 → 30 Sep 2013
Projects
1 - 10 of 16
- Combined Structural Health Monitoring and an Information Modelling Framework for Complex StructuresFrom3 Oct 2023 → TodayFunding: BOF - doctoral mandates
- Micro clinching of thin dissimilar metallic sheetsFrom19 Sep 2023 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- SYNergizing material Testing, modeling, cHaractErization, and SImulation Suites: a new generation of experts to enhance Material Testing 2.0From1 Sep 2023 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Damage assessment of thin-walled metallic structures using projection-based stereo DICFrom13 Jan 2023 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Inverse characterization of metals through information-rich material testingFrom1 Oct 2022 → TodayFunding: BOF - projects
- Inverse characterization of thermomechanical material behavior of metals using multi-physics FEMUFrom26 Sep 2022 → TodayFunding: BOF - doctoral mandates
- Multi-Physics FEMU using an information-rich tension-torsion test on high strength steelsFrom16 Sep 2022 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Modellering van thermo mechanisch gedrag bij kunststofvormgevingsprocessenFrom8 Nov 2021 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Toward virtual forming and design: Thermomechanical characterization of advanced high strength steels through full-field measurements and a single designed testFrom1 Jul 2020 → TodayFunding: H2020 - European Institute of Innovation and Technology
- Strength Prognosis JbyF: Strength Prognosis for Joining by FormingFrom1 Apr 2020 → 31 Mar 2022Funding: IWT / VLAIO - TETRA fund
Publications
21 - 30 of 106
- Data-Based and Analytical Models for Strength Prediction of Mechanical Joints(2022)
Authors: Niels Vancraeynest, Sam Coppieters
Pages: 1556 - 1563 - Bayesian texture optimization using deep neural network-based numerical material test(2022)
Authors: Sam Coppieters
- Parameter identifiability analysis: Mitigating the non-uniqueness issue in the inverse identification of an anisotropic yield function(2022)
Authors: Yi Zhang, Albert Van Bael, Sam Coppieters
- Optimization and inverse analysis in metal forming: scientific state-of-the-art and recent trends(2022)
Authors: Sam Coppieters
- Effect of forming process on fatigue fracture behaviour of high strength steel.(2022)
Authors: Sanjay Gothivarekar, Albert Van Bael, Reza Talemi, Sam Coppieters
- Effect of hydrostatic stress on the strength differential effect in low-carbon steel sheet(2022)
Authors: Sam Coppieters
- Enhancing the information-richness of sheet metal specimens for inverse identification of plastic anisotropy through strain fields(2022)
Authors: Yi Zhang, Sanjay Gothivarekar, Arne Van de Velde, Benoît Paermentier, Sam Coppieters
- DIC strain monitoring during fatigue of cold-formed high strength steel(2022)
Authors: Sanjay Gothivarekar, Albert Van Bael, Reza Talemi, Sam Coppieters
Pages: 1000 - 1006 - A relative approach for uncertainty quantification of inversely identified material behavior using a heterogeneous test for sheet metal(2022)
Authors: Sam Coppieters
- Towards best practice in numerical simulation of blind rivet nut installation(2021)
Authors: Arne Van de Velde, Martine Wevers, Sam Coppieters
Pages: 1139 - 1155
Patents
1 - 1 of 1
- Test specimen (Inventor)