• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

基于声学信号的工业交流三相电弧炉新电弧稳定性指标

New Arc Stability Index for Industrial AC Three-Phase Electric Arc Furnaces Based on Acoustic Signals.

作者信息

Guerra-Serrano Juan, Sánchez-Roca Angel, González-Yero Guillermo, Sánchez-Orozco Mario C, Pérez de la Parte Mercedes, Jiménez Macías Emilio, Blanco-Fernández Julio

机构信息

Integral Automation Company (CEDAI), L.Ortiz No.36 Esq.Lora, Las Tunas 75100, Cuba.

Faculty of Mechanical Engineering, Universidad de Oriente, Ave. Las Américas s/n, Santiago de Cuba 90900, Cuba.

出版信息

Sensors (Basel). 2020 Nov 30;20(23):6840. doi: 10.3390/s20236840.

DOI:10.3390/s20236840
PMID:33266004
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7730989/
Abstract

This research proposes a new index to evaluate the stability of the melting process, in three-phase electric arc furnaces (EAFs), based on the acoustic signals generated during the different stages of the casting. The proposed stability index is obtained by characterizing the time and frequency domain of the acoustic signals. During EAF monitoring, acoustic signals were acquired using a microphone coupled to an NI USB-9234 acquisition system. To validate the results, the voltage and current signals were measured with the aid of a Circutor AR6 power analyzer for three-phase electrical networks. The results showed that the acoustic signal energy in the frequency range of 1 to 12 kHz can be used as an indicator of the process stability in the EAF. Finally, the validity of the proposed stability index is evaluated from the process characterization using the harmonic distortion analysis methods and the dynamic U-I characteristics of the arc voltage and current signals. The results obtained demonstrated the effectiveness of the proposal and constitute a starting point for advances in the automatic control of the process in the EAF, from the acoustic signals.

摘要

本研究提出了一种新的指标，用于基于三相电弧炉（EAF）在铸造不同阶段产生的声学信号来评估其熔化过程的稳定性。所提出的稳定性指标是通过对声学信号的时域和频域进行特征化而获得的。在电弧炉监测期间，使用与NI USB - 9234采集系统耦合的麦克风采集声学信号。为了验证结果，借助Circutor AR6三相电网功率分析仪测量电压和电流信号。结果表明，1至12 kHz频率范围内的声学信号能量可作为电弧炉过程稳定性的指标。最后，使用谐波失真分析方法以及电弧电压和电流信号的动态U - I特性，从过程表征方面评估所提出的稳定性指标的有效性。所获得的结果证明了该提议的有效性，并为从声学信号实现电弧炉过程自动控制的进展奠定了基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4fcd/7730989/68b18451d3e9/sensors-20-06840-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4fcd/7730989/fdd352c74fac/sensors-20-06840-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4fcd/7730989/1310d9f22106/sensors-20-06840-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4fcd/7730989/7f0ba10c84dd/sensors-20-06840-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4fcd/7730989/df1d9ce744f5/sensors-20-06840-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4fcd/7730989/f85bcc110609/sensors-20-06840-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4fcd/7730989/e4dfab97dba2/sensors-20-06840-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4fcd/7730989/4aaad6339afe/sensors-20-06840-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4fcd/7730989/8133e797b31e/sensors-20-06840-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4fcd/7730989/242741c99721/sensors-20-06840-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4fcd/7730989/426363be05ac/sensors-20-06840-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4fcd/7730989/a26ac6ea9afd/sensors-20-06840-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4fcd/7730989/830f5cf96411/sensors-20-06840-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4fcd/7730989/b435e1a229ec/sensors-20-06840-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4fcd/7730989/68b18451d3e9/sensors-20-06840-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4fcd/7730989/fdd352c74fac/sensors-20-06840-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4fcd/7730989/1310d9f22106/sensors-20-06840-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4fcd/7730989/7f0ba10c84dd/sensors-20-06840-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4fcd/7730989/df1d9ce744f5/sensors-20-06840-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4fcd/7730989/f85bcc110609/sensors-20-06840-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4fcd/7730989/e4dfab97dba2/sensors-20-06840-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4fcd/7730989/4aaad6339afe/sensors-20-06840-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4fcd/7730989/8133e797b31e/sensors-20-06840-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4fcd/7730989/242741c99721/sensors-20-06840-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4fcd/7730989/426363be05ac/sensors-20-06840-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4fcd/7730989/a26ac6ea9afd/sensors-20-06840-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4fcd/7730989/830f5cf96411/sensors-20-06840-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4fcd/7730989/b435e1a229ec/sensors-20-06840-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4fcd/7730989/68b18451d3e9/sensors-20-06840-g014.jpg

相似文献

1
New Arc Stability Index for Industrial AC Three-Phase Electric Arc Furnaces Based on Acoustic Signals.基于声学信号的工业交流三相电弧炉新电弧稳定性指标
Sensors (Basel). 2020 Nov 30;20(23):6840. doi: 10.3390/s20236840.
2
A review of simulation and numerical modeling of electric arc furnace (EAF) and its processes.电弧炉（EAF）及其工艺的模拟与数值建模综述。
Heliyon. 2024 May 31;10(11):e32157. doi: 10.1016/j.heliyon.2024.e32157. eCollection 2024 Jun 15.
3
Identification and characterization of the atmospheric emission of polychlorinated naphthalenes from electric arc furnaces.电弧炉大气排放多氯萘的识别与特性研究。
Environ Sci Pollut Res Int. 2012 Sep;19(8):3645-50. doi: 10.1007/s11356-012-1038-2. Epub 2012 Jun 26.
4
Polychlorinated Biphenyl Emissions from Steelmaking Electric Arc Furnaces.炼钢电弧炉排放的多氯联苯。
Bull Environ Contam Toxicol. 2021 Apr;106(4):670-675. doi: 10.1007/s00128-021-03105-x. Epub 2021 Jan 23.
5
Optical emission from a small scale model electric arc furnace in 250-600 nm region.小型模型电弧炉在250 - 600纳米区域的光发射。
Rev Sci Instrum. 2013 Apr;84(4):043111. doi: 10.1063/1.4802833.
6
Analysis of arc emission spectra of stainless steel electric arc furnace slag affected by fluctuating arc voltage.波动电弧电压对不锈钢电弧炉熔渣电弧发射光谱的影响分析
Appl Spectrosc. 2014;68(1):26-32. doi: 10.1366/13-07079.
7
Characterizing the emissions of polybrominated dibenzo-p-dioxins and dibenzofurans (PBDD/Fs) from electric arc furnaces during steel-making.表征电弧炉在炼钢过程中多溴二苯并对二噁英和多溴二苯并呋喃（PBDD/Fs）的排放情况。
Ecotoxicol Environ Saf. 2021 Jan 15;208:111722. doi: 10.1016/j.ecoenv.2020.111722. Epub 2020 Dec 4.
8
Evaluation of the emission characteristics of PCDD/Fs from electric arc furnaces.电弧炉中二噁英/呋喃排放特性的评估。
Chemosphere. 2006 Mar;62(11):1761-73. doi: 10.1016/j.chemosphere.2005.07.054. Epub 2005 Sep 16.
9
Effects of ambient PM and particle-bound metals on the healthy residents living near an electric arc furnace: A community- based study.大气 PM 和颗粒态金属对电弧炉附近健康居民的影响：一项基于社区的研究。
Sci Total Environ. 2020 Aug 1;728:138799. doi: 10.1016/j.scitotenv.2020.138799. Epub 2020 Apr 20.
10
Achieving zero waste of municipal incinerator fly ash by melting in electric arc furnaces while steelmaking.在炼钢过程中通过电弧炉熔融实现城市垃圾焚烧飞灰的零废弃。
Waste Manag. 2017 Apr;62:160-168. doi: 10.1016/j.wasman.2017.02.021. Epub 2017 Feb 27.

本文引用的文献

1
Suppression of slag foaming by a sound wave.声波对炉渣泡沫化的抑制作用。
Ultrason Sonochem. 2000 Oct;7(4):193-9. doi: 10.1016/s1350-4177(00)00051-1.