Formability Studies on Magnesium Based AZ31B Alloy Sheet in LS Dyna Program Code
Magnesium alloys has potential applications in aerospace and automotive industries as they are having good formability. Material properties like yield strength, ductility, have direct influence on material’s formability and product quality. At high temperature applications like aeroengine and steam...
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| Format: | Article |
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Polish Academy of Sciences
2025-03-01
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| Series: | Archives of Metallurgy and Materials |
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| Online Access: | https://journals.pan.pl/Content/134510/AMM-2025-1-20-Bupesh%20Raja.pdf |
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| author | B. Viswanadhapalli V.K. Bupesh Raja K. Chaitanya S. Kannan |
| author_facet | B. Viswanadhapalli V.K. Bupesh Raja K. Chaitanya S. Kannan |
| author_sort | B. Viswanadhapalli |
| collection | DOAJ |
| description | Magnesium alloys has potential applications in aerospace and automotive industries as they are having good formability. Material properties like yield strength, ductility, have direct influence on material’s formability and product quality. At high temperature applications like aeroengine and steam engine, finding these properties are very crucial. For this purpose, uni-axial tension tests are performed at high temperatures on AZ31B magnesium alloy sheet to evaluate material formability properties. Finite element-based simulations have also been carried in LS Dyna program code. The output of the simulation is to find effective stresses and effective plastic strains. For this purpose, Tresca and Von Mises yielding conditions are utilized. These stresses are crucial in predicting and evaluating the forming limits of the material before necking. The results obtained from simulation code are consistent with experimental observations. An attempt has been made to predict formability by machine learning models. Random Forest shows the better model in predicting the formability. It has been concluded that the machine learning and Dyna code predictions has greatly minimises the physical experimentation. |
| format | Article |
| id | doaj-art-cf49535d36ae4e8698f825a95fff78db |
| institution | Kabale University |
| issn | 2300-1909 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Polish Academy of Sciences |
| record_format | Article |
| series | Archives of Metallurgy and Materials |
| spelling | doaj-art-cf49535d36ae4e8698f825a95fff78db2025-08-20T03:44:10ZengPolish Academy of SciencesArchives of Metallurgy and Materials2300-19092025-03-01vol. 70No 1183192https://doi.org/10.24425/amm.2025.152532Formability Studies on Magnesium Based AZ31B Alloy Sheet in LS Dyna Program CodeB. Viswanadhapalli0https://orcid.org/0000-0003-4949-7321V.K. Bupesh Raja1https://orcid.org/0000-0002-8929-1814K. Chaitanya2https://orcid.org/0000-0001-5991-2600S. Kannan3https://orcid.org/0000-0003-4897-1319School of Mechanical Engineering, Sathyabama Institute of Science and Technology, Chennai IndiaSchool of Mechanical Engineering, Sathyabama Institute of Science and Technology, Chennai IndiaDepartment of Computer Science Engineering, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, IndiaDean – Engineering, Architecture and Interior Design Amity University, Dubai, UAEMagnesium alloys has potential applications in aerospace and automotive industries as they are having good formability. Material properties like yield strength, ductility, have direct influence on material’s formability and product quality. At high temperature applications like aeroengine and steam engine, finding these properties are very crucial. For this purpose, uni-axial tension tests are performed at high temperatures on AZ31B magnesium alloy sheet to evaluate material formability properties. Finite element-based simulations have also been carried in LS Dyna program code. The output of the simulation is to find effective stresses and effective plastic strains. For this purpose, Tresca and Von Mises yielding conditions are utilized. These stresses are crucial in predicting and evaluating the forming limits of the material before necking. The results obtained from simulation code are consistent with experimental observations. An attempt has been made to predict formability by machine learning models. Random Forest shows the better model in predicting the formability. It has been concluded that the machine learning and Dyna code predictions has greatly minimises the physical experimentation.https://journals.pan.pl/Content/134510/AMM-2025-1-20-Bupesh%20Raja.pdfmagnesium alloy sheetuni-axial tension testls dyna program codemachine learning model |
| spellingShingle | B. Viswanadhapalli V.K. Bupesh Raja K. Chaitanya S. Kannan Formability Studies on Magnesium Based AZ31B Alloy Sheet in LS Dyna Program Code Archives of Metallurgy and Materials magnesium alloy sheet uni-axial tension test ls dyna program code machine learning model |
| title | Formability Studies on Magnesium Based AZ31B Alloy Sheet in LS Dyna Program Code |
| title_full | Formability Studies on Magnesium Based AZ31B Alloy Sheet in LS Dyna Program Code |
| title_fullStr | Formability Studies on Magnesium Based AZ31B Alloy Sheet in LS Dyna Program Code |
| title_full_unstemmed | Formability Studies on Magnesium Based AZ31B Alloy Sheet in LS Dyna Program Code |
| title_short | Formability Studies on Magnesium Based AZ31B Alloy Sheet in LS Dyna Program Code |
| title_sort | formability studies on magnesium based az31b alloy sheet in ls dyna program code |
| topic | magnesium alloy sheet uni-axial tension test ls dyna program code machine learning model |
| url | https://journals.pan.pl/Content/134510/AMM-2025-1-20-Bupesh%20Raja.pdf |
| work_keys_str_mv | AT bviswanadhapalli formabilitystudiesonmagnesiumbasedaz31balloysheetinlsdynaprogramcode AT vkbupeshraja formabilitystudiesonmagnesiumbasedaz31balloysheetinlsdynaprogramcode AT kchaitanya formabilitystudiesonmagnesiumbasedaz31balloysheetinlsdynaprogramcode AT skannan formabilitystudiesonmagnesiumbasedaz31balloysheetinlsdynaprogramcode |