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首页> 外文期刊>Journal of Materials Processing Technology >Optical surface generation on additively manufactured AlSiMg0.75 alloys with ultrasonic vibration-assisted machining
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Optical surface generation on additively manufactured AlSiMg0.75 alloys with ultrasonic vibration-assisted machining

机译:具有超声波振动辅助加工的含有超声波振动的Alsimg0.75合金的光学表面产生

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摘要

Additive manufacturing technology provides a feasible solution to directly manufacture optical components with complex functional structure. However, the poor surface quality and low relative density result in the limitation on its rapid application. In order to overcome the above shortcomings, process optimization and ultrasonic elliptical vibration-assisted machining (UEVAM) were used in the fabrication of optical surfaces on selective laser melted (SLM) AlSiMg0.75 alloy. The optimised energy density in the SLM process was identified ranging from 65 to 130 J/mm(3) with the highest achievable relative density of 99.6 % Post-processing heat treatment changed the cellular/dendritic microstructure of as-built samples to an alpha-Al matrix embedded with Si particles, which reduced the microcutting forces by 27.67 % and improved the machined surface roughness (Ra) by 8.7 % during conventional microcutting. In contrast, the UEVAM process is capable of further improving the surface quality from 11.03-5.1 nm Ra, without heat treatment. It is also evident that poor machined surface quality was attributed to the formation of oxide particles during SLM. Chip morphology analysis and finite element method simulations revealed the benefits of UEVAM in tackling the issue of precipitation and extended our understanding of the applications of UEVAM.
机译:添加剂制造技术提供了一种可行的解决方案,直接制造具有复杂的功能结构的光学部件。然而,表面质量差和低的相对密度的结果在其上的快速应用程序的限制。为了克服上述缺点,工艺优化和超声椭圆振动辅助加工(UEVAM)在选择性激光光学表面的制造中使用熔化(SLM)AlSiMg0.75合金。在SLM过程优化的能量密度被确定为65至130焦耳/毫米(3)用99.6%的后处理的热处理的最高可达到相对密度变化的竣工样品的α-蜂窝/枝晶组织Al基体中嵌入的Si粒子,其由27.67%减少了微切削的力和常规微切削期间改善加工表面粗糙度(Ra)8.7%。与此相反,UEVAM过程是能够进一步提高从11.03-5.1纳米Ra中的表面质量,而无需热处理。另外,也明显的是,差的加工表面的质量是由于氧化物粒子的SLM过程中形成。切屑形态分析和有限元方法模拟揭示UEVAM的好处在解决沉淀问题,并扩大了我们UEVAM的应用的理解。

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