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https://scidar.kg.ac.rs/handle/123456789/14231Пун извештај метаподатака
| Поље DC-а | Вредност | Језик |
|---|---|---|
| dc.rights.license | openAccess | - |
| dc.contributor.author | Šoškić, Zlatan | - |
| dc.contributor.author | Tomić, Jelena | - |
| dc.contributor.author | Drvar, Nend | - |
| dc.contributor.author | Monti, Michele | - |
| dc.contributor.author | Cardu, Marco | - |
| dc.date.accessioned | 2022-02-22T22:43:17Z | - |
| dc.date.available | 2022-02-22T22:43:17Z | - |
| dc.date.issued | 2019 | - |
| dc.identifier.uri | https://scidar.kg.ac.rs/handle/123456789/14231 | - |
| dc.description.abstract | The paper presents results of the efforts to improve the accuracy of cost calculation of the selective laser sintering technology using an artificial neural network as a tool for estimation of the mass of the waste powder, based on the masses of the powder that will be, and the powder that will not be, built into products during a production process. | en_US |
| dc.description.sponsorship | The authors wish to acknowledge the support of European Commission through the project “Advanced design rules for optimal dynamic properties of additive manufacturing products – A_MADAM”, which has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 734455. | en_US |
| dc.language.iso | en | en_US |
| dc.rights | info:eu-repo/semantics/openAccess | - |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | - |
| dc.source | Proceedings of 8th International Conference “Mechanics and Materials in Design - M2D 2019”, Bologna /Italy/, 4 - 6 September 2019, | en_US |
| dc.subject | additive manufacturing | en_US |
| dc.subject | selective laser sintering | en_US |
| dc.subject | manufacturing costs | en_US |
| dc.title | Application of artificial neural networks for estimation of the mass of the waste powder during selective laser sintering | en_US |
| dc.type | conferenceObject | en_US |
| dc.description.version | Published | en_US |
| dc.type.version | PublishedVersion | en_US |
| Налази се у колекцијама: | Faculty of Mechanical and Civil Engineering, Kraljevo | |
 | Број прегледа866 | Број преузимања55 |
Датотеке у овој ставци:
| Датотека | Опис | Величина | Формат | |
|---|---|---|---|---|
| 20_2019_M2D_29_Soskic.pdf | 404.08 kB | Adobe PDF |  Погледајте |
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