摘要
为提升激光熔覆质量,建立以激光功率、扫描速度及送粉量为主要工艺参数的有限元分析过程,减少熔覆工艺参数优化的研发周期和经济成本。通过温度场和应力场模拟GX4CrNi13-4马氏体不锈钢激光熔覆数据对照实验结果的方法,验证不同参数下的成形质量,优化激光熔覆工艺参数。结果表明:为避免基体熔穿和高质量致密度,激光功率的调整范围应控制在1800~2000 W之间;增加送粉量可以有效降低温度和残余应力。3个工艺参数中激光功率是主要调控参数,对熔覆质量影响最大。综合致密度分析和显微硬度测试评估不同参数下样品的熔覆质量和残余应力分布,发现最佳工艺参数组合为激光功率1800 W、扫描速度10 mm/s以及送粉量10 g/min。实验结果与应力场模拟的趋势一致,进一步验证模拟数据的准确性。
To improve the quality of laser cladding,a finite element analysis process was established,focusing on laser power,scanning speed and powder feed rate as the main process parameters,aiming to reduce the research and development cycle and economic costs of optimizing cladding process parameters.By comparing the temperature and stress field simulation of GX4CrNi13-4 martensitic stainless steel laser cladding data with experimental results,the forming quality under different parameters is verified,optimizing the laser cladding process parameters.The results indicate that the adjustment range of laser power should be controlled between 1800 W to 2000 W to avoid substrate penetration and ensure sufficient density;increasing the powder feed rate effectively reduces temperature and residual stress.Among the three process parameters,laser power has the most significant impact on cladding quality.A comprehensive analysis of density and microhardness tests to assess the cladding quality and residual stress distribution under different parameters reveals that the optimal combination of process parameters is a laser power of 1800 W,scanning speed of 10 mm/s,powder feed rate of 10 g/min.The experimental results are consistent with the trends of stress field simulations,further validating the accuracy of the simulation data.
作者
张华炜
何凌欢
侯娟
李家民
黄爱军
ZHANG Huawei;HE Linghuan;HOU Juan;LI Jiamin;HUANG Aijun(Additive Manufacturing Research Institute,School of Materials and Chemistry,University of Shanghai Science and Technology,Shanghai 200093,China;Center for Additive Manufacturing,Monash University,Notting Hill 3168,Australia)
出处
《材料工程》
EI
CAS
CSCD
北大核心
2024年第7期83-93,共11页
Journal of Materials Engineering
基金
深圳市协同创新科技计划-国际科技合作项目资助(GJHZ20200731095203011)。
关键词
GX4CrNi13-4马氏体不锈钢
工艺参数优化
有限元模拟
温度场
应力场
GX4CrNi13-4 martensitic stainless steel
process parameters optimization
finite element simulation
temperature field
stress field
