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Optimization and prediction of aluminium composite wear using Taguchi design and artificial neural network
| Title: | Optimization and prediction of aluminium composite wear using Taguchi design and artificial neural network | Authors: | Stojanović, Blaža Ž. |
Issue Date: | 2016 | Publication: | Tribological Journal BULTRIB | ISSN: | 1313-9878![]() Search Idenfier |
Publisher: | Sofia : Technical University | Type: | Article | Collation: | vol. 6 str. 38-45 | URI: | https://enauka.gov.rs/handle/123456789/542143 https://machinery.mas.bg.ac.rs/handle/123456789/4313 http://tribolab.mas.bg.ac.rs/proceedings/bultrib/2016.pdf https://scidar.kg.ac.rs/handle/123456789/16599 |
URL: | http://tribolab.mas.bg.ac.rs/proceedings/bultrib/2016.pdf | Project: | Развој триболошких микро/нано двокомпонентних и хибридних самоподмазујућих композита | Metadata source: | Migracija | M-category: | Mp. category will be shown later |
