APPLIED LASER, Volume. 43, Issue 9, 23(2023)

Multi-Objective Optimization of Titanium Alloy SLM Based on Genetic Algorithm

Zhang Xinhe1, Bai Haiqing1,2, Yang Sirui1, Li Chaofan1, and Jia Zongqiang1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    In order to explore the optimal process parameters of selective laser melting forming of TC4 titanium alloy, the effects of scanning speed, laser power, and scanning distance on the process parameters were analyzed with the densification degree and microhardness as evaluation indexes. The process parameters were optimized by orthogonal test, range analysis, and genetic algorithm. The results showed that the influence of laser power, scanning distance, and scanning speed on density and microhardness is the largest. At the same time, when the scanning speed is in the range of 980-1 024 mm /s, laser power is 205 W, and scanning distance is 0.05 mm, the density of TC4 titanium alloy forming parts can reach 95% and Vickers microhardness can reach 420 HV, which is higher than the hardness of traditional forging parts.

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    Zhang Xinhe, Bai Haiqing, Yang Sirui, Li Chaofan, Jia Zongqiang. Multi-Objective Optimization of Titanium Alloy SLM Based on Genetic Algorithm[J]. APPLIED LASER, 2023, 43(9): 23

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    Paper Information

    Received: May. 16, 2022

    Accepted: --

    Published Online: May. 24, 2024

    The Author Email:

    DOI:10.14128/j.cnki.al.20234309.023

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