Numerical simulation and mathematical modeling of the casting process for pearlitic spheroidal graphite cast iron
Fluidity, an essential parameter in casting operations, is influenced by the thermal properties of the alloy and the mold, pouring temperature, modification, and inoculation of the alloy. In this work, pearlitic spheroidal graphite cast iron (PSGI) was studied in terms of fluidity characteristics. T...
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2022-11-01
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| Series: | Open Chemistry |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/chem-2022-0238 |
| _version_ | 1811320145854857216 |
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| author | Şensoy Abdullah Tahir |
| author_facet | Şensoy Abdullah Tahir |
| author_sort | Şensoy Abdullah Tahir |
| collection | DOAJ |
| description | Fluidity, an essential parameter in casting operations, is influenced by the thermal properties of the alloy and the mold, pouring temperature, modification, and inoculation of the alloy. In this work, pearlitic spheroidal graphite cast iron (PSGI) was studied in terms of fluidity characteristics. The sand mold used had different section thicknesses. The alloy was cast at pouring temperatures changing between 1,360–1,480°C. Liquid metal quality ranged between 10 and 90% where the section thickness was changed from 1 to 5 mm. FlowCast simulation tool was used for the modeling of the tests. The analysis of variance results of the response surface model constructed between certain casting parameters and fluidity length have shown that the reduced regression equation is very accurate in terms of statistical indicators (predicted R
2: 0.99). The sensitivity analysis has shown that the section thickness is the most dominant parameter on the fluidity, while metallurgical quality is the least. The proposed model was also compared with the studies in the literature and it was seen that the results are well-matched. Therefore, it was suggested to use the proposed equation in order to estimate the fluidity results of PSGI without the need for real casting operations. |
| first_indexed | 2024-04-13T12:55:12Z |
| format | Article |
| id | doaj.art-c9b89b4061e64967b062a48dddad44a6 |
| institution | Directory Open Access Journal |
| issn | 2391-5420 |
| language | English |
| last_indexed | 2024-04-13T12:55:12Z |
| publishDate | 2022-11-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Open Chemistry |
| spelling | doaj.art-c9b89b4061e64967b062a48dddad44a62022-12-22T02:46:05ZengDe GruyterOpen Chemistry2391-54202022-11-012011202121110.1515/chem-2022-0238Numerical simulation and mathematical modeling of the casting process for pearlitic spheroidal graphite cast ironŞensoy Abdullah Tahir0Biomedical Engineering Department, Faculty of Engineering, Samsun University, 55420, Samsun, TurkeyFluidity, an essential parameter in casting operations, is influenced by the thermal properties of the alloy and the mold, pouring temperature, modification, and inoculation of the alloy. In this work, pearlitic spheroidal graphite cast iron (PSGI) was studied in terms of fluidity characteristics. The sand mold used had different section thicknesses. The alloy was cast at pouring temperatures changing between 1,360–1,480°C. Liquid metal quality ranged between 10 and 90% where the section thickness was changed from 1 to 5 mm. FlowCast simulation tool was used for the modeling of the tests. The analysis of variance results of the response surface model constructed between certain casting parameters and fluidity length have shown that the reduced regression equation is very accurate in terms of statistical indicators (predicted R 2: 0.99). The sensitivity analysis has shown that the section thickness is the most dominant parameter on the fluidity, while metallurgical quality is the least. The proposed model was also compared with the studies in the literature and it was seen that the results are well-matched. Therefore, it was suggested to use the proposed equation in order to estimate the fluidity results of PSGI without the need for real casting operations.https://doi.org/10.1515/chem-2022-0238box–behnken designresponse surface methodmathematical modelingfluiditycasting parameters |
| spellingShingle | Şensoy Abdullah Tahir Numerical simulation and mathematical modeling of the casting process for pearlitic spheroidal graphite cast iron Open Chemistry box–behnken design response surface method mathematical modeling fluidity casting parameters |
| title | Numerical simulation and mathematical modeling of the casting process for pearlitic spheroidal graphite cast iron |
| title_full | Numerical simulation and mathematical modeling of the casting process for pearlitic spheroidal graphite cast iron |
| title_fullStr | Numerical simulation and mathematical modeling of the casting process for pearlitic spheroidal graphite cast iron |
| title_full_unstemmed | Numerical simulation and mathematical modeling of the casting process for pearlitic spheroidal graphite cast iron |
| title_short | Numerical simulation and mathematical modeling of the casting process for pearlitic spheroidal graphite cast iron |
| title_sort | numerical simulation and mathematical modeling of the casting process for pearlitic spheroidal graphite cast iron |
| topic | box–behnken design response surface method mathematical modeling fluidity casting parameters |
| url | https://doi.org/10.1515/chem-2022-0238 |
| work_keys_str_mv | AT sensoyabdullahtahir numericalsimulationandmathematicalmodelingofthecastingprocessforpearliticspheroidalgraphitecastiron |