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Please use this identifier to cite or link to this item: http://localhost:80/xmlui/handle/123456789/4306
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dc.date.accessioned2020-11-03T07:22:25Z-
dc.date.available2020-11-03T07:22:25Z-
dc.date.issued2020-01-
dc.identifier.issn4421-1336-
dc.identifier.urihttp://172.16.0.4:8085/heritage/handle/123456789/4306-
dc.language.isoen_USen_US
dc.publisherRESEARCH SCIENCE PRESS (INDIA)en_US
dc.relation.ispartofseriesVolume 10;Number 1-
dc.subjectInternational Journal of Power Electronics and Technologyen_US
dc.subjectJanuary 2020en_US
dc.subjectStudy of Characterization, Machining, and Wear Behaviour of Compacted Graphite Ironen_US
dc.subjectPrediction of Progressive Tool Wear Using Acoustic Emission Technique and Artificial Neural Networken_US
dc.subjectElectrochemical Discharge Drilling by Use of a Semi-Dielectric Liquiden_US
dc.subjectOptimisation of Taper Formation During Pulsed Nd: YAG Laser Micro-Drilling of Aluminaen_US
dc.subjectAn Analysis of Machining Forces on Graphite/Epoxy, Glass/Epoxy & Kevlar/Epoxy Composites Using A Neural Network Approachen_US
dc.titleINTERNATIONAL JOURNAL OF POWER ELECTRONICS AND TECHNOLOGYen_US
dc.typeImageen_US
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