Influence of surface roughness on cold formability in bending processes: a multiscale modelling approach with the hybrid damage mechanics model
Abstract Experimental and numerical investigations on the description of cold formability of extra abrasion-resistant steel considering surface roughness effects were performed in this study. A novel multiscale numerical approach to quantitatively evaluate the impacts of surface roughness on the co...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
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Springer Paris
2021
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| Online Access: | https://hdl.handle.net/1721.1/131576 |
| _version_ | 1826206163464617984 |
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| author | Wechsuwanmanee, Peerapon Lian, Junhe Shen, Fuhui Münstermann, Sebastian |
| author2 | Massachusetts Institute of Technology. Impact and Crashworthiness Laboratory |
| author_facet | Massachusetts Institute of Technology. Impact and Crashworthiness Laboratory Wechsuwanmanee, Peerapon Lian, Junhe Shen, Fuhui Münstermann, Sebastian |
| author_sort | Wechsuwanmanee, Peerapon |
| collection | MIT |
| description | Abstract
Experimental and numerical investigations on the description of cold formability of extra abrasion-resistant steel considering surface roughness effects were performed in this study. A novel multiscale numerical approach to quantitatively evaluate the impacts of surface roughness on the cold formability/bendability of heavy plates was proposed and verified. The macroscopic ductile damage behavior of the investigated steel was described by a hybrid damage mechanics model, whose parameters were calibrated by notched round-bar (NRB) tensile tests and single-edge notched bending (SENB) tests. The surface roughness was characterized by confocal microscopy and statistically incorporated into a two-dimensional representative volume element (RVE) model. For the assessment of the bendability of heavy plates in the component level, the critical ratio between the punch radius and the sample thickness r/t in three-point bending tests was predicted and compared with experimental results. After the surface roughness effects were taken into consideration, a significant improvement in the predicted results was achieved. A good match between the simulation and experimental results confirmed the indispensable influences of surface roughness on the bendability of steels and validated the efficiency of the multiscale simulation approach in the quantitative description of surface roughness affected ductile damage evolutions. |
| first_indexed | 2024-09-23T13:25:05Z |
| format | Article |
| id | mit-1721.1/131576 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T13:25:05Z |
| publishDate | 2021 |
| publisher | Springer Paris |
| record_format | dspace |
| spelling | mit-1721.1/1315762023-02-23T20:52:03Z Influence of surface roughness on cold formability in bending processes: a multiscale modelling approach with the hybrid damage mechanics model Wechsuwanmanee, Peerapon Lian, Junhe Shen, Fuhui Münstermann, Sebastian Massachusetts Institute of Technology. Impact and Crashworthiness Laboratory Massachusetts Institute of Technology. Department of Mechanical Engineering Abstract Experimental and numerical investigations on the description of cold formability of extra abrasion-resistant steel considering surface roughness effects were performed in this study. A novel multiscale numerical approach to quantitatively evaluate the impacts of surface roughness on the cold formability/bendability of heavy plates was proposed and verified. The macroscopic ductile damage behavior of the investigated steel was described by a hybrid damage mechanics model, whose parameters were calibrated by notched round-bar (NRB) tensile tests and single-edge notched bending (SENB) tests. The surface roughness was characterized by confocal microscopy and statistically incorporated into a two-dimensional representative volume element (RVE) model. For the assessment of the bendability of heavy plates in the component level, the critical ratio between the punch radius and the sample thickness r/t in three-point bending tests was predicted and compared with experimental results. After the surface roughness effects were taken into consideration, a significant improvement in the predicted results was achieved. A good match between the simulation and experimental results confirmed the indispensable influences of surface roughness on the bendability of steels and validated the efficiency of the multiscale simulation approach in the quantitative description of surface roughness affected ductile damage evolutions. 2021-09-20T17:22:20Z 2021-09-20T17:22:20Z 2020-07-19 2020-07-20T03:47:20Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/131576 PUBLISHER_CC en https://doi.org/10.1007/s12289-020-01576-7 Creative Commons Attribution https://creativecommons.org/licenses/by/4.0/ The Author(s) application/pdf Springer Paris Springer Paris |
| spellingShingle | Wechsuwanmanee, Peerapon Lian, Junhe Shen, Fuhui Münstermann, Sebastian Influence of surface roughness on cold formability in bending processes: a multiscale modelling approach with the hybrid damage mechanics model |
| title | Influence of surface roughness on cold formability in bending processes: a multiscale modelling approach with the hybrid damage mechanics model |
| title_full | Influence of surface roughness on cold formability in bending processes: a multiscale modelling approach with the hybrid damage mechanics model |
| title_fullStr | Influence of surface roughness on cold formability in bending processes: a multiscale modelling approach with the hybrid damage mechanics model |
| title_full_unstemmed | Influence of surface roughness on cold formability in bending processes: a multiscale modelling approach with the hybrid damage mechanics model |
| title_short | Influence of surface roughness on cold formability in bending processes: a multiscale modelling approach with the hybrid damage mechanics model |
| title_sort | influence of surface roughness on cold formability in bending processes a multiscale modelling approach with the hybrid damage mechanics model |
| url | https://hdl.handle.net/1721.1/131576 |
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