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| Autori principali: | , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2026
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| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2605.09371 |
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| _version_ | 1866911667708755968 |
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| author | Gaboriault, Olivier Succar, Antonella Delêtre, Cléo Timercan, Anatolie Pelletier, Roger Melancon, David Blais, Bruno |
| author_facet | Gaboriault, Olivier Succar, Antonella Delêtre, Cléo Timercan, Anatolie Pelletier, Roger Melancon, David Blais, Bruno |
| contents | The calibration of discrete element method (DEM) models is commonly performed by tuning model parameters to match an experimental measurements, most commonly the angle of repose (AOR). Although widely used, AOR-based calibration metrics do not adequately characterize the full heap morphology, particularly when dealing with cohesive granular materials. As a result, AOR-based calibrations often leads to non-unique parameter sets. In this work, we propose a DEM calibration procedure based on full-field image analysis of static powder heaps rather than scalar AOR measurements. The method compares an average experimental heap profile (AEHP), obtained from repeated GranuHeap experiments, with an average numerical heap profile (ANHP) generated from DEM simulations. This comparison is performed using pixel-wise grayscale intensity values of both average heap profiles. Two metal powders commonly used in additive manufacturing, Ti6Al4V and Al6061, are used to evaluate the proposed methodology. This work highlights the limitations of traditional AOR-based approaches and demonstrates that full-field heap morphology offers a more reliable framework for DEM calibration. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_09371 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | From Angle of Repose to Heap Morphology: Full-Field Calibration of DEM for Granular Powders Gaboriault, Olivier Succar, Antonella Delêtre, Cléo Timercan, Anatolie Pelletier, Roger Melancon, David Blais, Bruno Applied Physics The calibration of discrete element method (DEM) models is commonly performed by tuning model parameters to match an experimental measurements, most commonly the angle of repose (AOR). Although widely used, AOR-based calibration metrics do not adequately characterize the full heap morphology, particularly when dealing with cohesive granular materials. As a result, AOR-based calibrations often leads to non-unique parameter sets. In this work, we propose a DEM calibration procedure based on full-field image analysis of static powder heaps rather than scalar AOR measurements. The method compares an average experimental heap profile (AEHP), obtained from repeated GranuHeap experiments, with an average numerical heap profile (ANHP) generated from DEM simulations. This comparison is performed using pixel-wise grayscale intensity values of both average heap profiles. Two metal powders commonly used in additive manufacturing, Ti6Al4V and Al6061, are used to evaluate the proposed methodology. This work highlights the limitations of traditional AOR-based approaches and demonstrates that full-field heap morphology offers a more reliable framework for DEM calibration. |
| title | From Angle of Repose to Heap Morphology: Full-Field Calibration of DEM for Granular Powders |
| topic | Applied Physics |
| url | https://arxiv.org/abs/2605.09371 |