Optimizing the Tribological Behavior of Hybrid Copper Surface Composites Using Statistical and Machine Learning TechniquesSource: Journal of Tribology:;2018:;volume( 140 ):;issue: 003::page 31610DOI: 10.1115/1.4038688Publisher: The American Society of Mechanical Engineers (ASME)
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| contributor author | Thankachan, Titus | |
| contributor author | Soorya Prakash, K. | |
| contributor author | Kamarthin, Mujiburrahman | |
| date accessioned | 2019-02-28T11:09:08Z | |
| date available | 2019-02-28T11:09:08Z | |
| date copyright | 1/18/2018 12:00:00 AM | |
| date issued | 2018 | |
| identifier issn | 0742-4787 | |
| identifier other | trib_140_03_031610.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4253226 | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Optimizing the Tribological Behavior of Hybrid Copper Surface Composites Using Statistical and Machine Learning Techniques | |
| type | Journal Paper | |
| journal volume | 140 | |
| journal issue | 3 | |
| journal title | Journal of Tribology | |
| identifier doi | 10.1115/1.4038688 | |
| journal fristpage | 31610 | |
| journal lastpage | 031610-8 | |
| tree | Journal of Tribology:;2018:;volume( 140 ):;issue: 003 | |
| contenttype | Fulltext |