Influencing effects of variant laser pulse energy on fatigue behavior induced via LSP

IF 1.3 4区材料科学 Q4 MATERIALS SCIENCE, MULTIDISCIPLINARY

Emerging Materials Research Pub Date : 2023-12-01 DOI:10.1680/jemmr.22.00217

Enoch Asuako Larson, Samuel Adu-Gyamfi, Abankwa Omari Ebenezer, M. Augustine, Philip Yamba, S. T. Azeko, Denis E K Dzebre

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Abstract

The set objective in this current study is to understand the effects of laser shock processing of variant laser pulse energies on residual compressive stress, microhardness, fatigue fracture, and fatigue life on the application of aircraft lug material. The effect of three variant laser pulse energies 3, 4, and 5.7 J were employed to examine alongside the laser processing parameters. A Q-switch (Nd-YAG) laser system was used in this experiment with wavelength, pulse width, spot diameter, and overlapping ratios of 1046 nm, 10 nm, 3 mm, and 50 %, respectively. After LSP, the superficial layer stress state shows varied results from tensile to residual stress of 50 MPa, to −225 MPa, −260 MPa, and −301 MPa, after 3 J, 4 J, and 5.7 J, respectively. The microhardness for the as-received specimen was 137 HV. However, after LSP it increased to 198 HV, 210 HV, and 223 HV, respectively. The fatigue life performance also experienced a significant increase up to 53,371 (2 x 105 cycles).

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变异激光脉冲能量对通过 LSP 诱导的疲劳行为的影响效应

本研究的目的是了解不同激光脉冲能量的激光冲击处理对飞机耳片材料残余压应力、显微硬度、疲劳断裂和疲劳寿命的影响。采用3、4和5.7 J三种不同的激光脉冲能量以及激光加工参数考察了激光脉冲能量的影响。实验采用调q开关(Nd-YAG)激光系统，波长为1046 nm，脉宽为10 nm，光斑直径为3 mm，重叠率为50%。经过3 J、4 J和5.7 J后，表面应力状态呈现出不同的变化，从拉伸到残余应力分别为50 MPa、- 225 MPa、- 260 MPa和- 301 MPa。样品的显微硬度为137 HV。LSP后分别增加到198hv、210hv和223 HV。疲劳寿命也显著提高，达到53371次(2 × 105次循环)。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Emerging Materials Research MATERIALS SCIENCE, MULTIDISCIPLINARY-

CiteScore

4.50

自引率

9.10%

发文量

期刊介绍： Materials Research is constantly evolving and correlations between process, structure, properties and performance which are application specific require expert understanding at the macro-, micro- and nano-scale. The ability to intelligently manipulate material properties and tailor them for desired applications is of constant interest and challenge within universities, national labs and industry.