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脱氧元素Ti、La对增材制造马氏体不锈钢组织和力学性能的影响

Effects of deoxidizing elements Ti and La on the microstructure and mechanical properties of additive manufactured martensitic stainless steels

  • 摘要: 为探究脱氧元素对增材制造马氏体不锈钢的影响,采用不同制粉方式制备了四种成分的马氏体不锈钢粉末,并在不同工艺参数下进行选区激光熔化,研究脱氧元素Ti、La及粉末制备工艺对增材制造马氏体不锈钢氧化物形态和分布及不锈钢组织和力学性能的影响。结果发现,脱氧元素Ti可以与样品中Al2O3结合形成Al‒Ti‒O复合夹杂物,降低了样品中氧化物的尺寸,尤其是Al2O3的尺寸。La具有比Ti更强的脱氧能力,La的加入显著降低了打印样品中大尺寸氧化物颗粒的数量密度和尺寸,提高了含La粉末打印样品的抗拉强度和断裂延伸率。在150 W、700 mm/s的激光功率下,相对于气雾化粉末打印样品,等离子球化粉末打印样品抗拉强度与断裂延伸率明显升高。粉末表面氧化物层、粉末球形度、粉末氧含量及脱氧元素等的共同作用改变了打印样品的力学性能。ChatGPT-4.0与手动测量得到的熔池深宽比变化趋势一致,但数值上存在较大差异,这表明ChatGPT-4.0在材料学应用中具有一定可靠性,但精度仍需进一步解决。

     

    Abstract: To explore the influence of deoxidizing elements on the additive manufactured martensitic stainless steels, four types of martensitic stainless steel powders were prepared by different powder-making methods. The printed samples were carried out by selective laser melting under different process parameters, the effects of deoxidizing elements (Ti and La) and powder preparation process on the morphology and distribution of oxides, microstructure, and mechanical properties of the additive manufactured martensitic stainless steels were investigated. In the results, the deoxidizing element Ti can combine with Al2O3 to form Al‒Ti‒O composite inclusions, reducing the size of oxides in the samples, especially that of Al2O3. La has a stronger deoxidation capacity than Ti. The addition of La significantly reduces the quantity density and size of the large-sized oxide particles in the printed samples, and enhances the tensile strength and elongation of the printed samples contained La powders. Under a laser power of 150 W and 700 mm/s, the tensile strength and elongation of the printed samples by plasma spheroidized powders are significantly higher than those of the printed samples by gas atomized powders. The combined effects of the powder surface oxide layer, the powder sphericity, the oxygen content, and the deoxidizing elements change the mechanical properties of the printed samples. The variation trend of the depth-to-width ratio of the molten pool obtained by ChatGPT-4.0 is consistent with that obtained by the manual measurement, but there is a significant difference in numerical values, which indicates that ChatGPT-4.0 shows the certain reliability in materials science applications, but the accuracy still needs to be further improved.

     

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