dc.contributor.author | Jaypuria, Sanjib Kumar | |
dc.date.accessioned | 2023-03-14T10:09:15Z | |
dc.date.available | 2023-03-14T10:09:15Z | |
dc.date.issued | 2022-06 | |
dc.identifier.govdoc | NB17568 | |
dc.identifier.uri | http://www.idr.iitkgp.ac.in/xmlui/handle/123456789/12559 | |
dc.language.iso | en | en_US |
dc.publisher | IIT Kharagpur | en_US |
dc.subject | Electron Beam Welding | en_US |
dc.subject | Copper Alloy | en_US |
dc.subject | CuCrZr | en_US |
dc.subject | Mechanical Properties | en_US |
dc.subject | Metallurgical Study | en_US |
dc.title | Experimental Investigations and Defect Characterization of Electron Beam Welded ETP Copper and CuCrZr Alloy Using Machine Learning Approaches | en_US |
dc.type | Thesis | en_US |