Weight analysis of influencing factors on hot cracking susceptibility of multi-alloy steel based on solidification micro-segregation model
Aiming at the problems of complex and diverse influencing factors and insufficient weight analysis in evaluating the hot cracking susceptibility of multi-alloy steel by solidification micro-segregation model, the brittleness temperature range (BTR) and Kou criterion were used as the evaluation index...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-01-01
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| Series: | Journal of Materials Research and Technology |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2238785424028862 |
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| author | Yongkun Yang Ziyi Ge Yang Wang Chuang Feng Silong Zhang Zhibin Geng Xiaoming Li |
| author_facet | Yongkun Yang Ziyi Ge Yang Wang Chuang Feng Silong Zhang Zhibin Geng Xiaoming Li |
| author_sort | Yongkun Yang |
| collection | DOAJ |
| description | Aiming at the problems of complex and diverse influencing factors and insufficient weight analysis in evaluating the hot cracking susceptibility of multi-alloy steel by solidification micro-segregation model, the brittleness temperature range (BTR) and Kou criterion were used as the evaluation indexes for hot cracking susceptibility, and the optimal number of principal components was determined by partial least squares regression (PLSR). Based on the optimal number of principal components, the interrelationships between factors, principal components and dependent variables were elucidated, and the weight of influencing factors of hot cracking susceptibility were analyzed. The results show that the factor weights affected the evaluation of hot cracking susceptibility were, in order, the initial concentration of components, the liquidus correlation coefficient, and the equilibrium distribution coefficient. Their contributions to BTR were 0.43, 0.38, and 0.16, respectively, and to Kou criterion were 0.42, 0.38, and 0.17, respectively. PLSR had good predictive performance for BTR and Kou criterion, with R2 values of 0.898 and 0.975, respectively, effectively capturing the relationship between factors and dependent variables. |
| format | Article |
| id | doaj-art-15d15648957040b9b07d96c7d8f57a43 |
| institution | Kabale University |
| issn | 2238-7854 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Materials Research and Technology |
| spelling | doaj-art-15d15648957040b9b07d96c7d8f57a432025-01-19T06:25:22ZengElsevierJournal of Materials Research and Technology2238-78542025-01-0134566574Weight analysis of influencing factors on hot cracking susceptibility of multi-alloy steel based on solidification micro-segregation modelYongkun Yang0Ziyi Ge1Yang Wang2Chuang Feng3Silong Zhang4Zhibin Geng5Xiaoming Li6School of Metallurgical Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, Shaanxi, ChinaSchool of Metallurgical Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, Shaanxi, ChinaSchool of Metallurgical Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, Shaanxi, ChinaSchool of Metallurgical Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, Shaanxi, ChinaSchool of Metallurgical Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, Shaanxi, ChinaSchool of Metallurgical Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, Shaanxi, ChinaCorresponding author.; School of Metallurgical Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, Shaanxi, ChinaAiming at the problems of complex and diverse influencing factors and insufficient weight analysis in evaluating the hot cracking susceptibility of multi-alloy steel by solidification micro-segregation model, the brittleness temperature range (BTR) and Kou criterion were used as the evaluation indexes for hot cracking susceptibility, and the optimal number of principal components was determined by partial least squares regression (PLSR). Based on the optimal number of principal components, the interrelationships between factors, principal components and dependent variables were elucidated, and the weight of influencing factors of hot cracking susceptibility were analyzed. The results show that the factor weights affected the evaluation of hot cracking susceptibility were, in order, the initial concentration of components, the liquidus correlation coefficient, and the equilibrium distribution coefficient. Their contributions to BTR were 0.43, 0.38, and 0.16, respectively, and to Kou criterion were 0.42, 0.38, and 0.17, respectively. PLSR had good predictive performance for BTR and Kou criterion, with R2 values of 0.898 and 0.975, respectively, effectively capturing the relationship between factors and dependent variables.http://www.sciencedirect.com/science/article/pii/S2238785424028862Multi-alloyed steelsMicro-segregation modelHot cracking susceptibilityPartial least squares regressionFactor weight |
| spellingShingle | Yongkun Yang Ziyi Ge Yang Wang Chuang Feng Silong Zhang Zhibin Geng Xiaoming Li Weight analysis of influencing factors on hot cracking susceptibility of multi-alloy steel based on solidification micro-segregation model Journal of Materials Research and Technology Multi-alloyed steels Micro-segregation model Hot cracking susceptibility Partial least squares regression Factor weight |
| title | Weight analysis of influencing factors on hot cracking susceptibility of multi-alloy steel based on solidification micro-segregation model |
| title_full | Weight analysis of influencing factors on hot cracking susceptibility of multi-alloy steel based on solidification micro-segregation model |
| title_fullStr | Weight analysis of influencing factors on hot cracking susceptibility of multi-alloy steel based on solidification micro-segregation model |
| title_full_unstemmed | Weight analysis of influencing factors on hot cracking susceptibility of multi-alloy steel based on solidification micro-segregation model |
| title_short | Weight analysis of influencing factors on hot cracking susceptibility of multi-alloy steel based on solidification micro-segregation model |
| title_sort | weight analysis of influencing factors on hot cracking susceptibility of multi alloy steel based on solidification micro segregation model |
| topic | Multi-alloyed steels Micro-segregation model Hot cracking susceptibility Partial least squares regression Factor weight |
| url | http://www.sciencedirect.com/science/article/pii/S2238785424028862 |
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