APPLIED LASER, Volume. 44, Issue 7, 37(2024)

Multi-Objective Process Optimization of Laser Coaxial Fuse Deposition Based on Response Surface Method

Cao Hao1, Shi Shihong1、*, Wei Chao1, Jin Lei1, Shi Tuo2, and Zhuang Rui1
Author Affiliations
  • 1School of Mechanical and Electrical Engineering, Soochow University, Suzhou 215021, Jiangsu, China
  • 2School of Optoelectronic Science and Engineering,Soochow University, Suzhou 215006, Jiangsu, China
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    References(7)

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    [8] [8] YAO M P, CHEN X, KONG F R, et al. Process optimization of laser hot-wire cladding with high-power direct diode laser via the response surface methodology[J]. The International Journal of Advanced Manufacturing Technology, 2022, 120(11): 8089-8103.

    [13] [13] MA M Y, XIONG W J, LIAN Y, et al. Modeling and optimization for laser cladding via multi-objective quantum-behaved particle swarm optimization algorithm[J]. Surface and Coatings Technology, 2020, 381: 125129.

    [14] [14] LIU Q, WU H K, PAUL M J, et al. Machine-learning assisted laser powder bed fusion process optimization for AlSi10Mg: New microstructure description indices and fracture mechanisms[J]. Acta Materialia, 2020, 201: 316-328.

    [15] [15] MAHAMOOD R M, AKINLABI E T, SHUKLA M, et al. Scanning velocity influence on microstructure, microhardness and wear resistance performance of laser deposited Ti6Al4V/TiC composite[J]. Materials & Design, 2013, 50: 656-666.

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    Cao Hao, Shi Shihong, Wei Chao, Jin Lei, Shi Tuo, Zhuang Rui. Multi-Objective Process Optimization of Laser Coaxial Fuse Deposition Based on Response Surface Method[J]. APPLIED LASER, 2024, 44(7): 37

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    Paper Information

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    Received: Nov. 16, 2022

    Accepted: Jan. 17, 2025

    Published Online: Jan. 17, 2025

    The Author Email: Shihong Shi (shishihong@suda.edu.cn)

    DOI:10.14128/j.cnki.al.20244407.037

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