Online diagnosis of joints quality in resistance spot welding for sedan body | |
Zhang, Peng-Xian1; Zhang, Zhi-Fen2; Chen, Jian-Hong1 | |
刊名 | Advances in Intelligent Systems and Computing
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2015 | |
卷号 | 363页码:263-272 |
关键词 | Spot welding Support vector machines Welding electrodes Electrode displacements Evaluation modeling On-line diagnosis Quality evaluation Recognition models Resistance spot welding Singularity signals SVM(support vector machine) |
ISSN号 | 21945357 |
DOI | 10.1007/978-3-319-18997-0_22 |
英文摘要 | The manufacture and assembly of sedan body are primarily accomplished by resistance spot welding (RSW). During the welding process, substandard solders are caused by some random failure factors. In this paper, in order to evaluate the quality of solders a secondary evaluation method was put forward based on electrode displacement signals. Firstly, characteristic parameters of singularity signals were extracted by analyzing the electrode displacement signal of normal state and fault state welding. Then, on-line diagnosis of fault state appearing in the welding process was achieved based on a first-class SVM (support vector machine) recognition model for singular solder joints. Secondly, characteristic parameters as the representation of singularity joints’ quality were extracted from the electrode displacement signal of fault state welding. Then, a second-class SVM model of solder joints quality evaluation was established based on shear strength and indentation depth of solder joints. Further, the quality of singular solder joint was identified. Its verifying results shows that the accuracy rate of the evaluation model come up to 97.1429 %. © Springer International Publishing Switzerland 2015. |
语种 | 英语 |
出版者 | Springer Verlag |
内容类型 | 期刊论文 |
源URL | [http://ir.lut.edu.cn/handle/2XXMBERH/113136] ![]() |
专题 | 材料科学与工程学院 |
作者单位 | 1.Key Laboratory of Non-ferrous Metal Alloys, The Ministry of Education, Lanzhou University of Technology, Lanzhou; 730050, China; 2.Institute of Welding Engineering, Material Science and Engineering, Shanghai Jiao Tong University, Shanghai; 200240, China |
推荐引用方式 GB/T 7714 | Zhang, Peng-Xian,Zhang, Zhi-Fen,Chen, Jian-Hong. Online diagnosis of joints quality in resistance spot welding for sedan body[J]. Advances in Intelligent Systems and Computing,2015,363:263-272. |
APA | Zhang, Peng-Xian,Zhang, Zhi-Fen,&Chen, Jian-Hong.(2015).Online diagnosis of joints quality in resistance spot welding for sedan body.Advances in Intelligent Systems and Computing,363,263-272. |
MLA | Zhang, Peng-Xian,et al."Online diagnosis of joints quality in resistance spot welding for sedan body".Advances in Intelligent Systems and Computing 363(2015):263-272. |
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