Please use this identifier to cite or link to this item:
http://www.idr.iitkgp.ac.in/xmlui/handle/123456789/12559
Full metadata record
DC Field | Value | Language |
---|---|---|
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 |
Appears in Collections: | Experimental Investigations and Defect Characterization of Electron Beam Welded ETP Copper and CuCrZr Alloy Using Machine Learning Approaches |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
NB17568_Abstract.pdf | 111.12 kB | Adobe PDF | View/Open | |
NB17568_Thesis.pdf Restricted Access | 9.8 MB | Adobe PDF | View/Open Request a copy |
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