Deformation Layer Characteristics of Ultrasonic Deep Rolling Processing (UDRP), Laser Shot Peening (LSP) and Shot Peening (SP) for Inconel718 Super-Alloy

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Authors

  • College of Mechanical Engineering, Guiyang University, Guiyang 550 005 ,CN
  • High Performance Metal Structure Material and Manufacture Technology, National Local Joint Engineering Laboratory, Guizhou Key Laboratory of Materials Strength and Structure, Guizhou University, Guiyang 550 025 ,CN
  • College of Mechanical Engineering, Guiyang University, Guiyang 550 005 ,CN

Keywords:

Inconel718 Super-Alloy, Ultrasonic Deep Rolling Processing (UDRP), Laser Shot Peening (LSP), Shot Peening (SP).

Abstract

This paper, by applying the ultrasonic deep rolling processing (UDRP), laser shot peening (LSP) and shot peening (SP) for Inconel718 super-alloy, adopts the laser confocal scanning microscope (LCSM) to observe surface topography and measure surface roughness, EBSD to observe the microscopic feature of surface hardened deformation layer, and x-ray stress analyzer and ultra-micro dynamic microhardness tester to measure residual stress and distribution of microhardness. The results show that, with the adopted surface hardening process parameters, the surface roughness presents in the order UDRP<without shot peening(WS)<LSP<SP; low-angle boundary on LSP surface is highly densified, but with shallower deformation layer, and the strain degree in microscell gradually decreases, with deeper strain layer for SP and UDRP, but unevenly; the maximum residual compressive stress of the three surface hardening methods are all applied on the surface with surface residual compressive stress LSP ≈ SP>UDRP and the layer depth of residual compressive stress UDRP>SP>LSP; surface microhardness LSP>SP>UDRP, and hardening depth SP≈UDRP>LSP.

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Published

2022-10-21

How to Cite

Zhong, L., Liang, Y., & Hu, H. (2022). Deformation Layer Characteristics of Ultrasonic Deep Rolling Processing (UDRP), Laser Shot Peening (LSP) and Shot Peening (SP) for Inconel718 Super-Alloy. Journal of Mines, Metals and Fuels, 66(6), 317–321. Retrieved from https://www.informaticsjournals.com/index.php/jmmf/article/view/31714

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