Influence of standoff distance and laser defocusing distance on direct laser metal deposition of a nickel-based superalloy

材料科学 高温合金 激光器 同轴 平坦度(宇宙学) 沉积(地质) 光学 金属粉末 喷嘴 包层(金属加工) 复合材料 冶金 金属 机械工程 微观结构 古生物学 物理 宇宙学 量子力学 沉积物 生物 工程类
作者
Marco Mazzarisi,Vito Errico,Andrea Angelastro,Sabina Luisa Campanelli
出处
期刊:The International Journal of Advanced Manufacturing Technology [Springer Nature]
卷期号:120 (3-4): 2407-2428 被引量:9
标识
DOI:10.1007/s00170-022-08945-3
摘要

Abstract The direct laser metal deposition (DLMD) is an additive manufacturing technology, based on laser cladding, which focuses mainly on 3D manufacturing applications. DLMD allows the production of thin-walled components by overlaying single-track depositions. Several issues can affect the deposition process and compromise the flatness of the surface on which subsequent tracks will be deposited. This work focused on deposition troubles simulated by means of a designed variation of the standoff distance and the laser defocusing distance. The effects of these two important process parameters on the deposition process were investigated. The experimental tests were performed by depositing a nickel-based superalloy powder on AISI 304 stainless steel plates through a coaxial nozzle. The work was carried out using an ytterbium fiber laser source and a deposition head equipped with an advanced and innovative motorized optics system. This allows the decoupled variation of the laser defocusing distance and consequently the laser spot size on the substrate surface with respect to the standoff distance. Results showed an influence of standoff distance and laser defocusing distance on the geometrical characteristics of the clad, such as clad width, clad height, penetration depth, and dilution. An experimental setup consisting of a light coaxial to the powder flow and a laterally positioned camera was designed to investigate the spatial powder distribution. Moreover, an analytical model for the powder distribution and clad width were proposed and validated. The analysis of variance (ANOVA) with a general linear model was also employed to describe the results.
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