首页|Enhancing the tensile properties of laser repairing Ti-6Al-4V alloys:Optimization of strain distribution based on composition fine-turning

Enhancing the tensile properties of laser repairing Ti-6Al-4V alloys:Optimization of strain distribution based on composition fine-turning

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In the context of laser repairing damaged forging titanium(Ti)alloys,a common challenge is the sig-nificant reduction in elongation of the repaired samples compared to that of the substrate.In this work,directed energy deposition(DED)technology was employed to repair the TC4(Ti-6Al-4V)forgings by ma-nipulating the Al and V contents of the repaired zone(RZ).Subsequent evaluation encompassed the mi-crostructure,microhardness.and tensile properties across the laser repair deposition samples(LRDs).The results revealed that despite the LRD TC4-0Ti's strength reaching 97.80%of the substrate,its elongation is only 43.93%of the substrate.Upon appropriately reducing the Al and V contents of RZ,the LRD TC4-5Ti demonstrates a strength of 935.04 MPa and an elongation of 14.59%,achieving 98.70%and 82.38%of the substrate,respectively.As the Al and V contents of RZ are further decreased,the strength of the LRDs gradually diminishes,falling below the forging standards.Utilizing digital image correlation(DIC)technology,the deformation behavior of different zones during the tensile process of these LDRs was in-vestigated.The results indicated a concentration of strain distribution within either RZ or the substrate zone(SZ)of the LRDs during the tensile process,which signifies the mismatch of deformation capacity between these two zones.Consequently,the tensile properties of the LRDs were adversely affected.By judiciously adjusting the Al and V contents of RZ,the abovementioned mismatch phenomenon can be ameliorated,which facilitates a synergistic strain behavior between SZ and RZ during the tensile process,aiding in the homogenization of strain distribution and consequently enhancing the tensile properties of the LRDs.

Titanium alloyLaser repair depositionDigital image correlationStrain behaviorTensile properties

Hengxin Zhang、Geng Wang、Sen Yang、Nan Wang、Konda Gokuldoss Prashanth、Zimeng Ye、Kexin Zhao、Fengying Zhang、Hua Tan

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School of Material Science and Engineering,Chang'an University,Xi'an 710064,PR China

Beijing Institute of Remote Sensing Equipment,Beijing 100854,PR China

Tallinn University of Technology,Department of Mechanical and Industrial Engineering,Ehitajate tee 5 19086 Tallinn,Estonia

State Key Laboratory of Solidification Processing,Northwestern Polytechnical University,Xi'an 710072,PR China

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2024

材料科学技术(英文版)
中国金属学会 中国材料研究学会 中国科学院金属研究所

材料科学技术(英文版)

CSTPCD
影响因子:0.657
ISSN:1005-0302
年,卷(期):2024.201(34)