Experimental investigation and numerical prediction of rupture in SS304 stainless steel sheet under tension
This work is focused on prediction of rupture in the tensile tests of SS304 stainless steel sheet. The tensile test experiments were performed up to rupture and the strain was measured using extensometer and digital image correlation (DIC) system. The experimental results obtained from the tensile t...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-02-01
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| Series: | Alexandria Engineering Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016822006597 |
| _version_ | 1811163538896453632 |
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| author | Appurva Jain Abhishek Mishra Vikrant Tiwari |
| author_facet | Appurva Jain Abhishek Mishra Vikrant Tiwari |
| author_sort | Appurva Jain |
| collection | DOAJ |
| description | This work is focused on prediction of rupture in the tensile tests of SS304 stainless steel sheet. The tensile test experiments were performed up to rupture and the strain was measured using extensometer and digital image correlation (DIC) system. The experimental results obtained from the tensile tests were utilized for the numerical simulation. In the numerical simulation, four macroscopic rupture criteria were used to predict rupture. The numerical results show the good agreement with the experimental results. Damage factor was calculated using the macroscopic rupture criteria in numerical simulation. The critical values of the damage factor based on the macroscopic criteria were obtained at rupture in simulation. These values are unique for all the mechanical tests and can be utilized for prediction of rupture in numerical simulation of mechanical tests. This study shows that Oh, Brozzo and Ayada criteria have good agreement for strain at rupture whereas Rice-Tracey criterion doesn’t show any agreement within the range of triaxiality from 0 to 0.66. |
| first_indexed | 2024-04-10T15:06:51Z |
| format | Article |
| id | doaj.art-d27a8face7e3496181a00168e3a494c3 |
| institution | Directory Open Access Journal |
| issn | 1110-0168 |
| language | English |
| last_indexed | 2024-04-10T15:06:51Z |
| publishDate | 2023-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Alexandria Engineering Journal |
| spelling | doaj.art-d27a8face7e3496181a00168e3a494c32023-02-15T04:27:03ZengElsevierAlexandria Engineering Journal1110-01682023-02-0165521530Experimental investigation and numerical prediction of rupture in SS304 stainless steel sheet under tensionAppurva Jain0Abhishek Mishra1Vikrant Tiwari2Department of Mechanical Engineering, National Institute of Technology Delhi, Delhi 110036, India; Corresponding author at: Department of Mechanical Engineering, National Institute of Technology, Delhi 110036, India.Department of Mechanical Engineering, National Institute of Technology Delhi, Delhi 110036, IndiaDepartment of Applied Mechanics, Indian Institute of Technology Delhi, New Delhi 110016, IndiaThis work is focused on prediction of rupture in the tensile tests of SS304 stainless steel sheet. The tensile test experiments were performed up to rupture and the strain was measured using extensometer and digital image correlation (DIC) system. The experimental results obtained from the tensile tests were utilized for the numerical simulation. In the numerical simulation, four macroscopic rupture criteria were used to predict rupture. The numerical results show the good agreement with the experimental results. Damage factor was calculated using the macroscopic rupture criteria in numerical simulation. The critical values of the damage factor based on the macroscopic criteria were obtained at rupture in simulation. These values are unique for all the mechanical tests and can be utilized for prediction of rupture in numerical simulation of mechanical tests. This study shows that Oh, Brozzo and Ayada criteria have good agreement for strain at rupture whereas Rice-Tracey criterion doesn’t show any agreement within the range of triaxiality from 0 to 0.66.http://www.sciencedirect.com/science/article/pii/S1110016822006597SS304 stainless steel sheetTensile testRuptureDIC systemMacroscopic criteria |
| spellingShingle | Appurva Jain Abhishek Mishra Vikrant Tiwari Experimental investigation and numerical prediction of rupture in SS304 stainless steel sheet under tension Alexandria Engineering Journal SS304 stainless steel sheet Tensile test Rupture DIC system Macroscopic criteria |
| title | Experimental investigation and numerical prediction of rupture in SS304 stainless steel sheet under tension |
| title_full | Experimental investigation and numerical prediction of rupture in SS304 stainless steel sheet under tension |
| title_fullStr | Experimental investigation and numerical prediction of rupture in SS304 stainless steel sheet under tension |
| title_full_unstemmed | Experimental investigation and numerical prediction of rupture in SS304 stainless steel sheet under tension |
| title_short | Experimental investigation and numerical prediction of rupture in SS304 stainless steel sheet under tension |
| title_sort | experimental investigation and numerical prediction of rupture in ss304 stainless steel sheet under tension |
| topic | SS304 stainless steel sheet Tensile test Rupture DIC system Macroscopic criteria |
| url | http://www.sciencedirect.com/science/article/pii/S1110016822006597 |
| work_keys_str_mv | AT appurvajain experimentalinvestigationandnumericalpredictionofruptureinss304stainlesssteelsheetundertension AT abhishekmishra experimentalinvestigationandnumericalpredictionofruptureinss304stainlesssteelsheetundertension AT vikranttiwari experimentalinvestigationandnumericalpredictionofruptureinss304stainlesssteelsheetundertension |