Can Li, Yong Li, Xiao Xing Li, Dexin Zhang, Imran Sardar Muhammad, Yue Liu
{"title":"TC4 钛合金扩散粘接接头在 α+β 区域温度下的加工图和优化塑性行为模型","authors":"Can Li, Yong Li, Xiao Xing Li, Dexin Zhang, Imran Sardar Muhammad, Yue Liu","doi":"10.4028/p-uvb9dt","DOIUrl":null,"url":null,"abstract":"The hot processing maps and optimized Arrhenius constitutive model of the TC4 diffusion bonded joint were investigated based on high temperature tensile tests in the temperature range of 1024–1174 K and strain rate range of 0.0001–0.1 s–1. The optimal hot processing parameter in the tensile deformation mode was 0.0001–0.001 s–1/1124 K and 0.0001–0.1 s–1/1174 K, respectively, when the true strain was 0.2. A modified strain compensated Arrhenius-type constitutive model of the joint by combining the evolutionary algorithm and generalized reduced gradient was established. The values of correlation coefficient and average absolute relative error were 0.989 and 7.29%, respectively, indicating the good prediction capabilities.","PeriodicalId":18262,"journal":{"name":"Materials Science Forum","volume":"50 4‐5","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Processing Maps and Optimized Plastic Behavior Model of TC4 Titanium Alloy Diffusion Bonded Joint at α+β Region Temperatures\",\"authors\":\"Can Li, Yong Li, Xiao Xing Li, Dexin Zhang, Imran Sardar Muhammad, Yue Liu\",\"doi\":\"10.4028/p-uvb9dt\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The hot processing maps and optimized Arrhenius constitutive model of the TC4 diffusion bonded joint were investigated based on high temperature tensile tests in the temperature range of 1024–1174 K and strain rate range of 0.0001–0.1 s–1. The optimal hot processing parameter in the tensile deformation mode was 0.0001–0.001 s–1/1124 K and 0.0001–0.1 s–1/1174 K, respectively, when the true strain was 0.2. A modified strain compensated Arrhenius-type constitutive model of the joint by combining the evolutionary algorithm and generalized reduced gradient was established. The values of correlation coefficient and average absolute relative error were 0.989 and 7.29%, respectively, indicating the good prediction capabilities.\",\"PeriodicalId\":18262,\"journal\":{\"name\":\"Materials Science Forum\",\"volume\":\"50 4‐5\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-03-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Materials Science Forum\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4028/p-uvb9dt\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Materials Science Forum","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4028/p-uvb9dt","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Processing Maps and Optimized Plastic Behavior Model of TC4 Titanium Alloy Diffusion Bonded Joint at α+β Region Temperatures
The hot processing maps and optimized Arrhenius constitutive model of the TC4 diffusion bonded joint were investigated based on high temperature tensile tests in the temperature range of 1024–1174 K and strain rate range of 0.0001–0.1 s–1. The optimal hot processing parameter in the tensile deformation mode was 0.0001–0.001 s–1/1124 K and 0.0001–0.1 s–1/1174 K, respectively, when the true strain was 0.2. A modified strain compensated Arrhenius-type constitutive model of the joint by combining the evolutionary algorithm and generalized reduced gradient was established. The values of correlation coefficient and average absolute relative error were 0.989 and 7.29%, respectively, indicating the good prediction capabilities.