脉冲激光热爆箔法制备金属粉末试验及工艺优化

材料导报

2022, Vol. 36

Issue (Z1): 21080257-6

金属与金属基复合材料

脉冲激光热爆箔法制备金属粉末试验及工艺优化

林志玮^1,2, 赵兴科^1,2, 赵增磊¹, 王世泽^1,2

1 北京科技大学顺德研究生院,广东佛山 528399
2 北京科技大学材料科学与工程学院,北京 100083

Process Optimization for Preparation of Metallic Powders by Exploding Foil with Pulsed Laser

LIN Zhiwei^1,2, ZHAO Xingke^1,2, ZHAO Zenglei¹, WANG Shize^1,2

1 Shunde Graduate School of University of Science and Technology Beijing, Foshan 528399, Guangdong, China
2 School of Materials Science and Engineering, University of Science and Technology Beijing, Beijing 100083, China

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摘要金属粉末是应用广泛的工业原材料,因此需要不断开发先进金属粉末制备技术。本工作提出了以脉冲激光为热源、不锈钢箔为原料的激光热爆法制粉工艺,通过正交试验方案制备了25种工艺参数下的粉末样品,分别采用激光测粒仪、光学显微镜和扫描电镜研究了粉末的粒径及其分布、粉末颗粒的宏观和微观形貌。采用极差分析和BP神经网络(BPNN)分析两种方法对样品粉末进行了评价和工艺参数优化。研究发现,与常规的极差分析相比,BP神经网络模型不仅优化效果更好,而且获得了粒径均匀、细小、球形度良好的优化工艺参数粉末样品。结果表明,BP神经网络分析能为新型脉冲激光热爆箔法金属粉末制备技术的开发提供有力保障。

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	林志玮
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	王世泽

关键词: 脉冲激光金属箔金属粉末 BP神经网络分析工艺优化

Abstract: Metal powders are widely used industrial raw materials, and therefore it is necessary to continuously develop advanced metal powder preparation techniques. A laser thermal explosion powder-making process with a pulsed laser as heat source and a stainless-steel foil as raw material was proposed, and various powder samples under 25 process parameters were prepared by orthogonal test scheme. Particle size distribution of each kind of powder were studied by laser particle sizer, optical microscope and scanning electron microscope respectively. The sample powders were evaluated and the process parameters were optimized by two methods, range analysis and BP neural network (BPNN). It is found that compared with the conventional range analysis, the BP neural network model not only had better optimization effect, but also obtained powder samples with uniform and fine particle size and good sphericity with optimized process parameters. It indicates that the BP neural network analysis can provide a strong guarantee for the development of a new type of metal powder preparation technique of pulsed laser thermal explosion foil method.

Key words: pulse laser metal foil metal powder BP neural network analysis process optimization

出版日期: 2022-06-05 发布日期: 2022-06-08

ZTFLH:	TF123
	TN249

基金资助: 广东省重点领域研发计划(2019B90907002)

通讯作者: xkzhao@ustb.edu.cn

作者简介: 林志玮,北京科技大学材料科学与工程学院硕士研究生。现于北京科技大学顺德研究生院激光材料加工实验室进行学习,主要从事激光材料加工领域的研究。
赵兴科,北京科技大学副教授、硕士研究生导师。1984年在华南理工大学本科毕业,1993年在中国科学院金属研究所获硕士学位,2002年在哈尔滨工业大学获博士学位。2003—2005年在中国科学院应用物理所做博士后研究。2005年进入北京科技大学任教。研究领域为金属材料焊接原理与工艺、粉末冶金原理与工艺、电子封装互联原理与工艺等,目前兼管北京科技大学顺德研究生院激光材料加工实验室,主要从事激光材料加工研究,在研项目包括广东省重点领域研发计划专题、佛山市科技创新专项等。主编教材专著3本,研究论文110余篇,授权专利7项。

引用本文:

林志玮, 赵兴科, 赵增磊, 王世泽. 脉冲激光热爆箔法制备金属粉末试验及工艺优化[J]. 材料导报, 2022, 36(Z1): 21080257-6.
LIN Zhiwei, ZHAO Xingke, ZHAO Zenglei, WANG Shize. Process Optimization for Preparation of Metallic Powders by Exploding Foil with Pulsed Laser. Materials Reports, 2022, 36(Z1): 21080257-6.

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