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JCR Impact Factor: 0.700
JCR 5-Year IF: 0.700
SCOPUS CiteScore: 1.8
Issues per year: 4
Current issue: Aug 2024
Next issue: Nov 2024
Avg review time: 57 days
Avg accept to publ: 60 days
APC: 300 EUR


PUBLISHER

Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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2024-Jun-20
Clarivate Analytics published the InCites Journal Citations Report for 2023. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.700 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.600.

2023-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2022. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.800 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 1.000.

2023-Jun-05
SCOPUS published the CiteScore for 2022, computed by using an improved methodology, counting the citations received in 2019-2022 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2022 is 2.0. For "General Computer Science" we rank #134/233 and for "Electrical and Electronic Engineering" we rank #478/738.

2022-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2021. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.825 (0.722 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.752.

2022-Jun-16
SCOPUS published the CiteScore for 2021, computed by using an improved methodology, counting the citations received in 2018-2021 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2021 is 2.5, the same as for 2020 but better than all our previous results.

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  2/2014 - 8

An Estimation Method of the Manufacturing Process' Effect on Iron Losses

SCUTARU, G. See more information about SCUTARU, G. on SCOPUS See more information about SCUTARU, G. on IEEExplore See more information about SCUTARU, G. on Web of Science, GAVRILA, H. See more information about  GAVRILA, H. on SCOPUS See more information about  GAVRILA, H. on SCOPUS See more information about GAVRILA, H. on Web of Science, PETER, I. See more information about PETER, I. on SCOPUS See more information about PETER, I. on SCOPUS See more information about PETER, I. on Web of Science
 
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Download PDF pdficon (1,657 KB) | Citation | Downloads: 830 | Views: 3,523

Author keywords
design engineering, energy efficiency, induction motors, magnetic circuits, magnetic losses

References keywords
magnetic(20), materials(11), magnetism(10), influence(8), cutting(8), steels(7), steel(6), oriented(5), magnetics(5), stress(4)
No common words between the references section and the paper title.

About this article
Date of Publication: 2014-05-31
Volume 14, Issue 2, Year 2014, On page(s): 49 - 52
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2014.02008
Web of Science Accession Number: 000340868100008
SCOPUS ID: 84901856074

Abstract
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More than 60% of industrial electricity consumption is made by electrical drives with induction motors. In 2008, by IEC 60034-30, the International Electrotechnical Commission defined the efficiency classes of induction motors namely: IE1, IE2 and IE3. The IE4 was defined in 2010 by IEC 60034-3. From 1 January 2015, the induction motors with a rated output of 7.5-375 kW shall not be less efficient than the IE3 class (Premium Efficiency Class). In order to obtain IE3 motors, manufacturers need to have a design method which takes into account the influence of the technological process on the properties of materials used; specially magnetic properties. This paper presents a new method to estimate the iron losses taking into account the effect of the mechanical cutting on the specific iron losses of the sheets. The method presented enables more accurate determination of the iron losses taking into account the effect of the punching process on the magnetic properties of sheets without a significant increase of the computational time. The case of M400 iron sheets was analyzed.


References | Cited By

Cited-By Clarivate Web of Science

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Cited-By SCOPUS

SCOPUS® Times Cited: 3
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Cited-By CrossRef

[1] Experimental and statistical analysis of the effects of punching and laser cutting methods on induction motor efficiency and total magnetic losses in silicon lamination sheets, Bayraktar, Şenol, Turgut, Yakup, Journal of Magnetism and Magnetic Materials, ISSN 0304-8853, Issue , 2023.
Digital Object Identifier: 10.1016/j.jmmm.2023.170599
[CrossRef]

[2] Two Speed Single Phase Induction Motor with Electronically Controlled Capacitance, CAMPEANU, R., CERNAT, M., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 3, Volume 14, 2014.
Digital Object Identifier: 10.4316/AECE.2014.03018
[CrossRef] [Full text]

[3] Magnetic Flux Linkage and Iron Loss in Stator Design of Spindle Motor, Purwanto, Wawan, Arif, Ahmad, Setiawan, Muhammad Yasep, Andrizal, , Nursyafti, Yolana, Hidayat, Nuzul, 2023 International Conference on Modeling & E-Information Research, Artificial Learning and Digital Applications (ICMERALDA), ISBN 979-8-3503-6935-9, 2023.
Digital Object Identifier: 10.1109/ICMERALDA60125.2023.10458197
[CrossRef]

Updated 2 days, 3 hours ago

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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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