A Study on the Effect of Nozzle Geometrical Parameters on Supersonic Cold Spraying of Droplets

IF 1 Q4 ENGINEERING, MANUFACTURING Journal of Micro and Nano-Manufacturing Pub Date : 2022-06-27 DOI:10.1115/msec2022-85703
Semih Akin, Puyuan Wu, Chandra Nath, Jun Chen, M. Jun
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Abstract

Supersonic cold spraying of droplets containing functional nanomaterials is of particular interest in advanced thin-film coating, that enabling high-adhesion strength particle deposition. In this method, coating occurs when the particles are accelerated to supersonic velocities in a converging-diverging nozzle, and then impact onto a target surface. Here, the optimum design of the nozzle is essential to deal with low-inertia particles like droplets. In particular, nozzle geometrical parameters (i.e., throat diameter, exit diameter, divergent length) determine droplets’ acceleration and deposition characteristics under supersonic flow conditions. To this end, we thoroughly investigate the influence of nozzle geometrical parameters on droplets acceleration by numerical modeling followed by experimental validation, and a case study on surface coating application. Two-phase flow modeling was used to predict droplets’ behavior in continuous gas flow for different nozzle configurations. The results show that the nozzle expansion ratio — a function of throat and exit diameters — has a significant influence on droplet velocity, followed by divergent length. In particular, to correctly accelerate low-inertia liquid droplets, optimum nozzle expansion ratio for an axisymmetric convergent-divergent nozzle is found to be in a range of 1.5–2.5 for various sets of parameters, which is different than the recommended expansion ratio (i.e., 5–9) for cold spraying of micro-scale metal particles. The findings can help determine the ideal design of a supersonic nozzle to minimize turbulent velocity fluctuation and shock wave formation that in turn assist to effectively spray low-inertia particles like micro-scale droplets. Based on the simulation results, an optimal design of supersonic nozzle is selected and prototyped for the experimental studies. Numerical modeling results are validated by particle image velocimetry (PIV) measurements. Moreover, coating experiments confirm the adaptability of the optimized nozzle for supersonic cold spraying of droplets containing nanoparticles, which thereby has the potential for rapid production of advanced thin films.
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喷嘴几何参数对液滴超音速冷喷涂影响的研究
含有功能纳米材料的液滴的超音速冷喷涂在先进的薄膜涂层中具有特殊的意义,可以实现高粘附强度的颗粒沉积。在这种方法中,当粒子在会聚-发散喷嘴中加速到超音速时,就会发生涂层,然后撞击目标表面。在这里,喷嘴的优化设计对于处理像液滴这样的低惯性颗粒至关重要。特别是喷嘴的几何参数(即喉道直径、出口直径、发散长度)决定了液滴在超音速流动条件下的加速和沉积特性。为此,我们通过数值模拟和实验验证,并以表面涂层应用为例,深入研究了喷嘴几何参数对液滴加速度的影响。采用两相流模型对不同喷嘴配置下液滴在连续气体流动中的行为进行了预测。结果表明,喷嘴膨胀比(喉道直径和出口直径的函数)对液滴速度有显著影响,其次是发散长度。特别是,为了正确加速低惯性液滴,轴对称会聚-发散型喷嘴在各种参数下的最佳喷嘴膨胀比为1.5-2.5,这与微尺度金属颗粒冷喷涂的推荐膨胀比(即5-9)不同。这些发现可以帮助确定理想的超音速喷嘴设计,以最大限度地减少湍流速度波动和激波的形成,从而有助于有效地喷射像微尺度液滴这样的低惯性颗粒。在仿真结果的基础上,选择了一种超声速喷管的优化设计方案并进行了原型设计,进行了实验研究。数值模拟结果通过粒子图像测速(PIV)验证。此外,涂层实验证实了优化后的喷嘴对含纳米颗粒液滴的超音速冷喷涂的适应性,从而具有快速生产先进薄膜的潜力。
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来源期刊
Journal of Micro and Nano-Manufacturing
Journal of Micro and Nano-Manufacturing ENGINEERING, MANUFACTURING-
CiteScore
2.70
自引率
0.00%
发文量
12
期刊介绍: The Journal of Micro and Nano-Manufacturing provides a forum for the rapid dissemination of original theoretical and applied research in the areas of micro- and nano-manufacturing that are related to process innovation, accuracy, and precision, throughput enhancement, material utilization, compact equipment development, environmental and life-cycle analysis, and predictive modeling of manufacturing processes with feature sizes less than one hundred micrometers. Papers addressing special needs in emerging areas, such as biomedical devices, drug manufacturing, water and energy, are also encouraged. Areas of interest including, but not limited to: Unit micro- and nano-manufacturing processes; Hybrid manufacturing processes combining bottom-up and top-down processes; Hybrid manufacturing processes utilizing various energy sources (optical, mechanical, electrical, solar, etc.) to achieve multi-scale features and resolution; High-throughput micro- and nano-manufacturing processes; Equipment development; Predictive modeling and simulation of materials and/or systems enabling point-of-need or scaled-up micro- and nano-manufacturing; Metrology at the micro- and nano-scales over large areas; Sensors and sensor integration; Design algorithms for multi-scale manufacturing; Life cycle analysis; Logistics and material handling related to micro- and nano-manufacturing.
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