A new approach of CMT seam welding deformation forecasting based on GA-BPNN
Welding deformation affects the quality of the welded parts. In this paper, by introducing improved back propagation neural network (BPNN), a cold metal transfer (CMT) welding deformation prediction model for aluminum-steel hybrid sheets is established. Before applying BPNN, important parameters aff...
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| Format: | Article |
| Language: | English |
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Gruppo Italiano Frattura
2020-07-01
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| Series: | Fracture and Structural Integrity |
| Subjects: | |
| Online Access: | https://www.fracturae.com/index.php/fis/article/view/2726/3031 |
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| _version_ | 1841562629375524864 |
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| author | Yao Lu Yanfeng Xing Xuexing Li Sha Xu |
| author_facet | Yao Lu Yanfeng Xing Xuexing Li Sha Xu |
| author_sort | Yao Lu |
| collection | DOAJ |
| description | Welding deformation affects the quality of the welded parts. In this paper, by introducing improved back propagation neural network (BPNN), a cold metal transfer (CMT) welding deformation prediction model for aluminum-steel hybrid sheets is established. Before applying BPNN, important parameters affecting welding deformation were obtained by orthogonal test and gray relational grade theory. The accuracy of welding deformation prediction of BPNN is improved by genetic algorithm. The results show that compared with the prediction method based on traditional theory, the deformation prediction model based on GA-BPNN has higher accuracy. Predicted results were applied to the aluminum-steel CMT seam welding in the form of inverse deformation, and the deformation of the welded plate was significantly improved. |
| format | Article |
| id | doaj-art-332d5dc64ad446f8973778a1c47af0f4 |
| institution | Kabale University |
| issn | 1971-8993 |
| language | English |
| publishDate | 2020-07-01 |
| publisher | Gruppo Italiano Frattura |
| record_format | Article |
| series | Fracture and Structural Integrity |
| spelling | doaj-art-332d5dc64ad446f8973778a1c47af0f42025-01-03T00:46:06ZengGruppo Italiano FratturaFracture and Structural Integrity1971-89932020-07-01145332533610.3221/IGF-ESIS.53.2510.3221/IGF-ESIS.53.25A new approach of CMT seam welding deformation forecasting based on GA-BPNNYao LuYanfeng XingXuexing LiSha XuWelding deformation affects the quality of the welded parts. In this paper, by introducing improved back propagation neural network (BPNN), a cold metal transfer (CMT) welding deformation prediction model for aluminum-steel hybrid sheets is established. Before applying BPNN, important parameters affecting welding deformation were obtained by orthogonal test and gray relational grade theory. The accuracy of welding deformation prediction of BPNN is improved by genetic algorithm. The results show that compared with the prediction method based on traditional theory, the deformation prediction model based on GA-BPNN has higher accuracy. Predicted results were applied to the aluminum-steel CMT seam welding in the form of inverse deformation, and the deformation of the welded plate was significantly improved.https://www.fracturae.com/index.php/fis/article/view/2726/3031cold metal transfer weldingorthogonal testgray relational grade theorybp neural networkgenetic algorithm. |
| spellingShingle | Yao Lu Yanfeng Xing Xuexing Li Sha Xu A new approach of CMT seam welding deformation forecasting based on GA-BPNN Fracture and Structural Integrity cold metal transfer welding orthogonal test gray relational grade theory bp neural network genetic algorithm. |
| title | A new approach of CMT seam welding deformation forecasting based on GA-BPNN |
| title_full | A new approach of CMT seam welding deformation forecasting based on GA-BPNN |
| title_fullStr | A new approach of CMT seam welding deformation forecasting based on GA-BPNN |
| title_full_unstemmed | A new approach of CMT seam welding deformation forecasting based on GA-BPNN |
| title_short | A new approach of CMT seam welding deformation forecasting based on GA-BPNN |
| title_sort | new approach of cmt seam welding deformation forecasting based on ga bpnn |
| topic | cold metal transfer welding orthogonal test gray relational grade theory bp neural network genetic algorithm. |
| url | https://www.fracturae.com/index.php/fis/article/view/2726/3031 |
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