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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    Laser cladding deposition is a crucial technology for surface modification and 3D freeform fabrication, with process parameter selection significantly influencing the geometry and mechanical properties of the melt channel. This study employs the response surface analysis method to develop a mathematical model correlating process parameters—laser power, scanning speed, and wire feeding speed—with responses such as melt height, aspect ratio, dilution rate, and microhardness in an annular focus laser coaxial cladding deposition process. The results show that the scanning speed is the most significant factor affecting the height of the melt channel, aspect ratio and microhardness, and the laser power is the most significant factor affecting the dilution rate. The expected combination of process parameters was obtained by synchronous optimization method, and the predicted results were in good agreement with the experimental results, and the average relative errors of melt height, aspect ratio, dilution rate and microhardness were 8.33%, 1.67%, 2.50% and 1.71%, respectively. Using the process parameters calculated by the model, a variable-diameter thin-walled part with a height of 100 mm is formed. The dimensional accuracy of the formed parts is high, the structure is dense and uniform, and there are no obvious defects such as pores and cracks.

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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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