{"title":"基于固有应变法快速预测 Ti-6.5Al-3.5Mo-1.5Zr-0.3Si 合金激光沉积修复过程中的基底变形","authors":"Jiali Gao, Xianxin Gong, Yong Wang, Lijian Zhu, Qin Dong, Yunbo Hao, Kai Zhao","doi":"10.1007/s12206-024-0725-5","DOIUrl":null,"url":null,"abstract":"<p>Rapid prediction of substrate deformation for thin-wall component repairing of Ti–6.5Al–3.5Mo–1.5Zr–0.3Si alloy by laser deposition technology was investigated for the optimization of the laser scanning strategy and improvement of the repair efficiency. A local model based on thermo elastic-plastic theory was established for inherent strain extraction. On this basis, an inherent strain model was built to simulate the deformation of long side and short side reciprocating deposition. Prediction accuracy and computational efficiency of the proposed inherent strain model were compared with the classic thermo elastic-plastic predictive and the experimental results. The results show that prediction error of the inherent strain model was 7.35 %. Though lower than the classic thermo elastic-plastic prediction (2.42 %), calculation time was reduced to 18 %∼41 % of that based on the thermo elastic-plastic model. Moreover, substrate distortion was well controlled when the scanning path was parallel to the fixed constraint surface since the residual stress was smaller.</p>","PeriodicalId":16235,"journal":{"name":"Journal of Mechanical Science and Technology","volume":"21 1","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Rapid prediction of substrate deformation in laser deposition repair process for Ti–6.5Al–3.5Mo–1.5Zr–0.3Si alloy based on the inherent strain method\",\"authors\":\"Jiali Gao, Xianxin Gong, Yong Wang, Lijian Zhu, Qin Dong, Yunbo Hao, Kai Zhao\",\"doi\":\"10.1007/s12206-024-0725-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Rapid prediction of substrate deformation for thin-wall component repairing of Ti–6.5Al–3.5Mo–1.5Zr–0.3Si alloy by laser deposition technology was investigated for the optimization of the laser scanning strategy and improvement of the repair efficiency. A local model based on thermo elastic-plastic theory was established for inherent strain extraction. On this basis, an inherent strain model was built to simulate the deformation of long side and short side reciprocating deposition. Prediction accuracy and computational efficiency of the proposed inherent strain model were compared with the classic thermo elastic-plastic predictive and the experimental results. The results show that prediction error of the inherent strain model was 7.35 %. Though lower than the classic thermo elastic-plastic prediction (2.42 %), calculation time was reduced to 18 %∼41 % of that based on the thermo elastic-plastic model. Moreover, substrate distortion was well controlled when the scanning path was parallel to the fixed constraint surface since the residual stress was smaller.</p>\",\"PeriodicalId\":16235,\"journal\":{\"name\":\"Journal of Mechanical Science and Technology\",\"volume\":\"21 1\",\"pages\":\"\"},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2024-08-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Mechanical Science and Technology\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1007/s12206-024-0725-5\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, MECHANICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Mechanical Science and Technology","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s12206-024-0725-5","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
Rapid prediction of substrate deformation in laser deposition repair process for Ti–6.5Al–3.5Mo–1.5Zr–0.3Si alloy based on the inherent strain method
Rapid prediction of substrate deformation for thin-wall component repairing of Ti–6.5Al–3.5Mo–1.5Zr–0.3Si alloy by laser deposition technology was investigated for the optimization of the laser scanning strategy and improvement of the repair efficiency. A local model based on thermo elastic-plastic theory was established for inherent strain extraction. On this basis, an inherent strain model was built to simulate the deformation of long side and short side reciprocating deposition. Prediction accuracy and computational efficiency of the proposed inherent strain model were compared with the classic thermo elastic-plastic predictive and the experimental results. The results show that prediction error of the inherent strain model was 7.35 %. Though lower than the classic thermo elastic-plastic prediction (2.42 %), calculation time was reduced to 18 %∼41 % of that based on the thermo elastic-plastic model. Moreover, substrate distortion was well controlled when the scanning path was parallel to the fixed constraint surface since the residual stress was smaller.
期刊介绍:
The aim of the Journal of Mechanical Science and Technology is to provide an international forum for the publication and dissemination of original work that contributes to the understanding of the main and related disciplines of mechanical engineering, either empirical or theoretical. The Journal covers the whole spectrum of mechanical engineering, which includes, but is not limited to, Materials and Design Engineering, Production Engineering and Fusion Technology, Dynamics, Vibration and Control, Thermal Engineering and Fluids Engineering.
Manuscripts may fall into several categories including full articles, solicited reviews or commentary, and unsolicited reviews or commentary related to the core of mechanical engineering.