摘要
Ti基金属−金属复合材料具有良好的强度和塑性等综合性能。采用扫描电子显微术(SEM)、X射线衍射(XRD)、材料力学性能试验、分离式霍普金森压杆(SHPB)、MATALAB软件等分析技术研究了W颗粒增强Ti基金属−金属复合材料(Ti-W)在准静态和动态下的力学行为。结果表明:Ti-W复合材料具有β-Ti相和β-W相组成的双相异质结构;当W元素含量大于25%(摩尔分数)时,组织中析出细小的富W相。Ti-W复合材料在准静态下的最高屈服强度和极限强度可达1567 MPa(Ti-30W)和1726 MPa(Ti-30W);动态下最高屈服强度和极限强度可达2148 MPa(Ti-15W)和2908 MPa(Ti-30W)。因此,Ti-W复合材料具有明显的应变速率强化效应。比较了改进的Johnson-Cook(JC)本构模型和Back-Propagation(BP)神经网络模型对Ti-W复合材料力学行为的适用性,发现BP神经网络能更好地描述Ti-W复合材料在准静态和动态下的力学行为。
Ti matrix metal-metal composites exhibit good comprehensive properties such as strength and plasticity.The quasi-static and dynamic behavior of W particle reinforced Ti matrix metal-metal composites(Ti-W)were investigated by scanning electron microscopy(SEM),X-ray diffractometry(XRD),material mechanical properties test,split Hopkinson pressure bar(SHPB)and MATALAB software.The results show that Ti-W composites exhibit a dual phase heterostructure composed ofβ-Ti andβ-W.When the content of element W in the composite is greater than 25%(mole fraction),fine W-rich phase is precipitated in the tissue.The maximum yield strength and ultimate strength of Ti-W composites can reach 1567 MPa(Ti-30W)and 1726 MPa(Ti-30W)under quasi-static condition.The maximum yield strength and ultimate strength can reach 2148 MPa(Ti-15W)and 2908 MPa(Ti-30W)under dynamic condition.Therefore,Ti-W composites exhibit obvious strain strengthening effect.By comparing the applicability of the modified Johnson-Cook(JC)constitutive model and Back-Propagation(BP)neural network model to the mechanical behavior of Ti-W composites,it is found that BP neural network can better describe the quasi-static and dynamic behavior of Ti-W composite.
作者
李谋
周睿
杜萌
曹远奎
刘彬
刘咏
LI Mou;ZHOU Rui;DU Meng;CAO Yuan-kui;LIU Bin;LIU Yong(State Key Laboratory of Powder Metallurgy,Central South University,Changsha 410083,China;Department of Materials Science and Engineering,City University of Hong Kong,Hong Kong 999077,China)
出处
《中国有色金属学报》
EI
CAS
CSCD
北大核心
2022年第1期66-75,共10页
The Chinese Journal of Nonferrous Metals
基金
国家自然科学基金资助项目(51625404)。
