Kernel Metadata Declaration — on demand

What the DOI identifies

Designandanalysisof3phaseinductionmotorusingAnsysMax well

10.46243/jst.2021.v6.i04.pp318-324 · JournalArticle — an article in a journal · Digital · Visual · Language · en

Published 2021

Part of Journal of Science & Technology · ISSN 2456-5660 · vol. 06 · no. 01 · pp. 318–324

Principal agents

• ProfDr. D.M Sonje (author → Author)
• YashNareshraj Bangali (author → Author)
• Longman Publishers (publisher → Publisher)

Also in the record, outside the Kernel: the abstract, the licence, 4 links, 15 references. Source: Crossref (member 25296), registered 2026-09-23, last deposited 2026-09-27.

⬇ Record (JSON) ⬇ Declaration (XML)

System metadata — ISO 26324:2025, Annex B · DOI Handbook 10.1

Each element by the standard's name and the Handbook's (in grey), read off the record.

The record

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    "abstract": {
        "value": "It is evident that an induction motor is very reliable, robust and efficient machine usedfor various industrial applications under various loading conditions. Induction motors arecheaperincost,ruggedinconstructionandrequireverylittlemaintenance.Thispaperfocuses on performance aspects and censorious fields in the design of such a machine. Similar reference laboratory motors have been taken into account for designing of a motor.Therefore by using ANSYS, a three phase 50 Hz 430V 1.1KW motor has been designed.Once the designing of a 2 pole motor is done; its behavior has been studied. The tools usedfor this design and analysis are ANSYS Maxwell 2D and RMxprt. It is an instrumental innot only giving classical motor performance parameters, but also spawns an outright transferof the3D or 2Dgeometry in conjunction withall electrical as well as electromagneticproperties.Theconclusionsretrievedareconferredand presumptionsaredrawn.",
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            "unstructured": "R Fci, E.F. Fuchs, H. Huaugh, “Comparison of two optimization techniques for the designofathree-phaseinduction motordesign”,IEEETrans.onEnergyConv.4(4):651-9,1989"
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            "doi": "10.1016/s0045-7906(00)00010-0",
            "unstructured": "J. Faiz, M.B.B. Sharifian, “Optimal design of three phase induction motors and theircomparison with a typical industrial motor”, Int. J. of Comp. and Elect. Eng. 27:133- 144,2001"
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            "doi": "10.1109/20.334066",
            "unstructured": "G.F. Üler, O.A. Mohammed, C.S. Koh.“Utilizing genetic algorithms for the optimaldesign of electromagnetic devices”, IEEE Trans. on Magnetics, Vol. 30, No. 6, pp. 4296-4298,1994"
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            "key": "ref4",
            "doi": "10.1049/ip-epa:19982166",
            "unstructured": "N. Bianchi, S. Bolognani, “Design optimization of electric motors by genetic algorithm”,IEEProc.Electr.PowerAppl.,145:475-483,1998"
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            "doi": "10.1109/20.728298",
            "unstructured": "J.P. Wieczorek, Ö. Göl, Z. Michalewicz, “An evolutionary algorithm for the optimaldesignofinductionmotors”,IEEETrans.OnMagnetics, Vol.34No.6,pp.3882- 3887,1998"
        },
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            "key": "ref6",
            "doi": "10.1007/s00170-006-0458-x",
            "unstructured": "M. Çunkaş, R. Akkaya., O. Bilgin, “Cost optimization of submersible motors using ageneticalgorithmandafiniteelementmethod”, Int. J.ofAdv. Manuf. Tech., inpress, 2006"
        },
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            "key": "ref7",
            "unstructured": "D.E. Goldberg, “Genetic Algorithms in Search Optimizationsand Machine Learning”,AddisonWesley,NewYork,1989"
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            "doi": "10.1201/9781003740100-26",
            "unstructured": "Sibun Raj Rout and Dr. Prashant Nehe, “ Prediction modeling and optimization of compact methanol steam reformer using Gaussian process regression (GPR) and response surface optimization”, International Journal of Advanced Technology in Engineering and Science Vol. 9, number 5, May 2021"
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            "unstructured": "T.Sato,K.Watanabe,andH.Igarashi,“MultimaterialTopologyOptimizationofElectric Machines Based on Normalized Gaussian Network”, IEEE Trans. Magnetics,vol.51,no.3,pp1-4,2015"
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            "unstructured": "S. Sato, T. Sato, and H. Igarashi, “Topology optimization of synchronous reluctancemotorusingnormalizedGaussiannetwork”,IEEETrans. Magnetics,vol.51, no.3, 2015. Journal of Science and Technology ISSN: 2456-5660 Volume 06,Special Issue 01, August 2021, www.jst.org.in DOI: https://doi.org/10.46243/jst.2021.v6.i04.pp318-324"
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            "key": "ref12",
            "doi": "10.1038/nature14539",
            "unstructured": "Y. LeCun, B.Yoshua, H. Geoffrey, “Deep learning”, Nature, vol. 521, No. 7553, pp.436- 444,2015"
        },
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            "unstructured": "Dr.A.Raghuram and V. Shashikala, “Design and Optimization of Three Phase InductionMotor using Genetic Algorithm”, International Journal of Advances in Computer Science andTechnologyVolume2,number6,June 2013"
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            "unstructured": "Ashwini Mukesh Chaudhary, Dr. Prashant Nehe, ajinkya. K. Salve, “Machine learning Classification algorithms for prediction of surface finish of flatwork ironing mchine”, International Journal of Advance Research in Science and Engineering Volume 10, number 5, May 2021"
        },
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            "unstructured": "MohmmadAuub,S.S.Murthy,“Energy Conservation through Improved Design ofInduction Motor”, Electrical Engineering Department, Indian Institute of Technology, NewDelhi,INDIA,25- 26June2000"
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The Kernel Metadata Declaration

DOIMetadataKernel.xsd · namespace http://www.doi.org/2010/DOISchema · Attribute Value Sets 2.3 · draft — the agency's DOI name is filled in on accreditation

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