METHOD OF ESTIMATING SPECIFIC POWER CONSUMPTION AND ELECTRODE WEAR AFTER CORRECTION OF ELECTRIC MODES IN ELECTRIC ARC FURNACES

Author:

Nikolaev A.A.ORCID, ,Ivekeev V.S.ORCID,Tulupov P.G.ORCID,Bulanov M.V.

Abstract

The paper describes an improved method for estimating the technical effect after correction of electric modes in electric arc furnaces and ladle furnaces. The main indicators of efficiency for these types of equipment are specific power consump-tion and electrode wear. The study shows that after correction of electric modes in electric arc furnaces and ladle furnaces through parameterization of electric mode control system (or implementation of new control system), estimation of these parameters may be inaccurate. This is caused by the inapplicability of direct comparison of specific power consumption and electrode wear over separate time periods, due to the impact of different technological fac-tors. In contrast with existing methodology, the improved method takes into account the impact of technological factors with unequal values over separate time samples. The new method is based on statistical and correlation analysis of electri-cal and technological characteristics for pre-warranty and post-warranty periods. The most unfavourable period for achiev-ing the technical effect is determined on the basis of average values analysis. Further estimation of the technical effect is provided in relation to the most unfavourable conditions. The proposed method may be applied for a more precise assess-ment of the efficiency of electric arc furnaces and ladle furnaces after adaptation of parameters in electric mode control sys-tem or after the replacement of a control system.

Publisher

FSAEIHE South Ural State University (National Research University)

Subject

General Medicine

Reference15 articles.

1. 1. Mironov Yu.M. Features of arc steel-making furnaces as receivers of electric power. Electrometallurgy. 2020;(9):2-8. (In Russ.) DOI: 10.31044/1684-5781-2020-0-9-2-8

2. 2. Glukhov I.V., Mekhriakov D.V., Voronov G.V., Vdovin K.M., Rybak A.A., Taranov V.V. Power mana¬ging in the modern eaf DSP-120. Steel in Translation. 2020;(5):21-23.

3. 3. Nikolaev A.A., Kornilov G.P., Anufriev A.V., Pekhterev S.V., Povelitsa E.V. Electrical optimization of su-perpowerful arc furnaces. Steel in Translation. 2014;44(4):289-297. DOI: 10.3103/S0967091214040135

4. 4. Shishimirov M.V., Rabinovich V.L., Aleksandrov A.V., Aksenov A.B., Korostelev A.B. Optimization of en-ergotechnological conditions of steel-making in modern arc steel-making furnaces of medium capacity. Electro-metallurgy. 2020;(11):12-17. (In Russ.)

5. Developing and Testing of Improved Control System of Electric Arc Furnace Electrical Regimes;Nikolaev;Applied Mechanics and Materials,2015

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3