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Laser additive remanufacturing parameters optimization and experimental study of heavy-duty sprocket

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Abstract

Experimental research on laser additive remanufacturing technology of heavy-duty sprocket was carried out. The influences of laser power, scanning speed, and powder feeding rate on cladding height, cladding area, melting area, and dilution rate were compared and analyzed. The prediction models of the combination of process parameters with the geometric characteristics of cladding layer and dilution were established. A multi-objective process parameter optimization model with the maximum cladding height and cladding area, the minimum melting area, and dilution rate as objective functions was established, and the model was optimized and solved based on MOPSO algorithm. The laser additive remanufacturing repairing experiment of damaged sprocket was carried out by using the optimal parameter combination, and the microstructure and mechanical properties of the repaired region were analyzed. The results show that the scanning speed and powder feeding rate are the main factors influencing the geometric characteristics and dilution of the cladding area, and the models have good prediction accuracy. The optimal process parameters (1150 W, 950 mm/min, 3.8 rad/min) obtained by MOPSO algorithm are adopted to repair the damaged sprocket. The repaired area without cracks and pores and the cladding layer show good metallurgical bonding with the substrate, and the microhardness is twice that of the substrate. The experimental results prove that the laser additive remanufacturing technology is feasible to repair the damaged heavy-duty sprocket and has a strong engineering application prospect.

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Funding

This research is supported by the National Natural Science Foundation of China (Grant Nos. U1908222 and 51674134), the Natural Science Foundation of Liaoning Province (Grant No. 20180550167), the Key Projects of Liaoning Province (Grant Nos. LJ2017ZL001 and LJ2019ZL005), and Project supported by discipline innovation team of Liaoning Technical University (Grant No. LNTU20TD-28).

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Authors and Affiliations

  1. School of Mechanical Engineering, Liaoning Technical University, Fuxin, China

    Chenguang Guo, Ning Lv, Haitao Yue, Qiang Li & Jianzhuo Zhang

  2. Liaoning Provincial Key Laboratory of Large-Scale Mining Equipment, Fuxin, China

    Chenguang Guo, Haitao Yue, Qiang Li & Jianzhuo Zhang

Authors
  1. Chenguang Guo
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  2. Ning Lv
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  3. Haitao Yue
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  4. Qiang Li
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  5. Jianzhuo Zhang
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Contributions

Chenguang Guo: Investigation, resources, writing—original draft.

Ning Lv: Formal analysis, software, investigation, writing—original draft.

Haitao Yue: Conceptualization, methodology, supervision, writing—review and editing.

Qiang Li: Supervision, data curation.

Jianzhuo Zhang: Validation, resources.

Corresponding author

Correspondence to Haitao Yue.

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Guo, C., Lv, N., Yue, H. et al. Laser additive remanufacturing parameters optimization and experimental study of heavy-duty sprocket. Int J Adv Manuf Technol 118, 3789–3800 (2022). https://doi.org/10.1007/s00170-021-08201-0

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  • DOI: https://doi.org/10.1007/s00170-021-08201-0

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