Research Status of Laser Additive Manufacturing Surface Integrity Theory and Control Technology

XU Yifei, LIU Fuchao, SUN Yaoning

doi:10.16577/j.issn.1001-1560.2025.0073

Materials Protection >

2025 , Vol. 58 >Issue 5: 1 - 11

DOI: https://doi.org/10.16577/j.issn.1001-1560.2025.0073

Research Status of Laser Additive Manufacturing Surface Integrity Theory and Control Technology

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(School of Intelligent Manufacturing Modern Industry， Xinjiang University， Urumqi 830049， China)

SUN Yaoning (1977－)，Professor，Ph.D.Supervisor，Research Focus:Surface Engineering，Intelligent Manufacturing， etc， Tel.: 15026000615， E-mail: synxju2024＠163.com

Received date: 2025-01-21

Revised date: 2025-02-10

Accepted date: 2025-02-15

Online published: 2025-06-10

Supported by

National Natural Science Foundation of China (52461022)

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Abstract

Although laser additive manufacturing offers exceptional design flexibility and manufacturing versatility， it is difficult to ensure consistency， repeatability， reliability and predicability in practical applications， which means that conducting research on the theory and control technology of surface integrity and achieving quantitative control over the manufacturing process with the aim of accurately guaranteeing service performance has become pivotal for promoting the precise regulation of the laser additive manufacturing process.Consequently， investigating the process-structure-property-performance (PSPP) relationship through experiments and simulations is an effective strategy to further enhance additive manufacturing capabilities.This paper first provided a brief overview of laser additive manufacturing classifications and described its process control.Subsequently， the influences of surface microstructure， internal defects， surface roughness and residual stress on the mechanical and service performance of laser additively manufactured components were discussed.Furthermore，the impact of introducing machine learning on the nonlinear processes of PSPP was explored.Finally， the future development trends in surface integrity control technologies for laser additive manufacturing were discussed.

Key words： laser additive manufacturing; surface integrity; machine learning; service performance

Cite this article

XU Yifei, LIU Fuchao, SUN Yaoning . Research Status of Laser Additive Manufacturing Surface Integrity Theory and Control Technology[J]. Materials Protection, 2025 , 58(5) : 1 -11 . DOI: 10.16577/j.issn.1001-1560.2025.0073

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