Analysis of application range of simplified models for field to thermo-field to thermionic emission processes from the cathode

热离子发射 场电子发射 无量纲量 阴极 航程(航空) 电流密度 计算物理学 电子 电流(流体) 领域(数学) 等离子体 电场 细胞内颗粒 热阴极 统计物理学 物理 机械 材料科学 化学 热力学 数学 量子力学 物理化学 复合材料 纯数学
作者
Li 丽 SUN 孙,Zhuo 卓 DAI 代,Ming 鸣 XU 徐,Wei 伟 WANG 王,Zengyao 增耀 LI 李
出处
期刊:Plasma Science & Technology [IOP Publishing]
卷期号:26 (9): 094005-094005 被引量:1
标识
DOI:10.1088/2058-6272/ad4cad
摘要

Abstract Electron emission plays a dominant role in plasma–cathode interactions and is a key factor in many plasma phenomena and industrial applications. It is necessary to illustrate the various electron emission mechanisms and the corresponding applicable description models to evaluate their impacts on discharge properties. In this study, detailed expressions of the simplified formulas valid for field emission to thermo-field emission to thermionic emission typically used in the numerical simulation are proposed, and the corresponding application ranges are determined in the framework of the Murphy–Good theory, which is commonly regarded as the general model and to be accurate in the full range of conditions of the validity of the theory. Dimensionless parameterization was used to evaluate the emission current density of the Murphy–Good formula, and a deviation factor was defined to obtain the application ranges for different work functions (2.5‒5 eV), cathode temperatures (300‒6000 K), and emitted electric fields (10 5 to 10 10 V·m −1 ). The deviation factor was shown to be a nonmonotonic function of the three parameters. A comparative study of particle number densities in atmospheric gas discharge with a tungsten cathode was performed based on the one-dimensional implicit particle-in-cell (PIC) with the Monte Carlo collision (MCC) method according to the aforementioned application ranges. It was found that small differences in emission current density can lead to variations in the distributions of particle number density due to changes in the collisional environment. This study provides a theoretical basis for selecting emission models for subsequent numerical simulations.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
7秒前
9秒前
9秒前
炙热的惜天完成签到 ,获得积分10
9秒前
10秒前
11秒前
molihuakai应助隐形的小蜜蜂采纳,获得10
12秒前
12秒前
可爱的函函应助shui采纳,获得10
12秒前
13秒前
HQ发布了新的文献求助30
13秒前
明理曼凡发布了新的文献求助10
14秒前
15秒前
隐形曼青应助陈林采纳,获得10
15秒前
唐俊杰完成签到 ,获得积分10
16秒前
17秒前
自然水桃完成签到,获得积分20
17秒前
大鹅完成签到 ,获得积分20
17秒前
17秒前
单纯问雁完成签到 ,获得积分10
18秒前
罗毅应助老实的火采纳,获得10
19秒前
传奇3应助RuiXxxxx采纳,获得10
19秒前
20秒前
自然水桃发布了新的文献求助10
20秒前
Enemy发布了新的文献求助10
22秒前
22秒前
Chloe完成签到,获得积分10
25秒前
自由毒娘完成签到,获得积分10
25秒前
科研通AI6.4应助明理曼凡采纳,获得10
27秒前
小巧的孤丹完成签到,获得积分10
28秒前
欣喜成仁完成签到,获得积分10
28秒前
彭泽阳完成签到,获得积分10
28秒前
29秒前
30秒前
31秒前
34秒前
36秒前
37秒前
dde应助昏睡的太君采纳,获得10
37秒前
38秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
Pediatric Dermoscopy Trichoscopy & Onychoscopy 2030
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7576993
求助须知:如何正确求助?哪些是违规求助? 9156595
关于积分的说明 19589160
捐赠科研通 7160750
什么是DOI,文献DOI怎么找? 3265194
关于科研通互助平台的介绍 2430231
邀请新用户注册赠送积分活动 2255825