Obiekt
Tytuł: Modeling and optimization of cutting parameters when turning EN-AW-1350 aluminum alloy
Autor:
Khrouf, F. ; Tebassi, Hamid ; Yallese, M.A. ; Chaoui, Kamel ; Haddad, A.
Data wydania:
Typ zasobu:
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Tytuł publikacji grupowej:
Abstract:
An experimental investigation is carried out to examine the effects of various cutting parameters on the response criteria when turning EN-AW-1350 aluminum alloy under dry cutting conditions. The experiments related to the analysis of the influence of turning parameters on the surface roughness (Ra) and material removal rate (MRR) were carried out according to the Taguchi L27 orthogonal array approach. ; The analysis of variance (ANOVA) was applied to characterizing the main elements affecting response parameters. Finally, the desirability function (DP) was applied for a bi-objective optimization of the machining parameters with the objective of achieving a better surface finish (Ra) and a higher productivity (MRR). ; The results showed that the cutting speed is the most dominant factor affecting Ra followed by the feed rate and the depth of cut. Moreover, the Artificial Neural Network (ANN) approach is found to be more reliable and accurate than its Response Surface methodology (RSM) counterpart in terms of predicting and detecting the non-linearity of the surface roughness and material removal rate mathematical models. ; ANN provided prediction models with a precision benefit of 8.21% more than those determined by RSM. The latter is easier to use, and provides more information than ANN in terms of the impacts and contributions of the model terms.
Wydawca:
Zielona Góra: Uniwersytet Zielonogórski
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Źródło:
IJAME, volume 27, number 2 (2022)
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Licencja CC BY-NC-ND 4.0:
Prawa do dysponowania publikacją:
Biblioteka Uniwersytetu Zielonogórskiego
Kolekcje, do których przypisany jest obiekt:
- Zielonogórska Biblioteka Cyfrowa > Repozytorium > Jednostki organizacyjne > Wydział Mechaniczny
- Zielonogórska Biblioteka Cyfrowa > Repozytorium > Typy utworów > Artykuły
- Zielonogórska Biblioteka Cyfrowa > Repozytorium > Czasopisma naukowe i serie wydawnicze UZ > International Journal of Applied Mechanics and Engineering (IJAME)
- Zielonogórska Biblioteka Cyfrowa > Repozytorium > Czasopisma naukowe i serie wydawnicze UZ > International Journal of Applied Mechanics and Engineering (IJAME) > International Journal of Applied Mechanics and Engineering (IJAME) (2022)
Data ostatniej modyfikacji:
2023-10-30
Data dodania obiektu:
2023-02-03
Liczba wyświetleń treści obiektu:
97
Wszystkie dostępne wersje tego obiektu:
https://zbc.uz.zgora.pl/publication/77385
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Wyświetl opis w formacie OAI-PMH:
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International Journal of Applied Mechanics and Engineering (IJAME)
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International Journal of Applied Mechanics and Engineering (IJAME), volume 27 (2022)
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International Journal of Applied Mechanics and Engineering (IJAME), volume 27, number 1 (2022)
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International Journal of Applied Mechanics and Engineering (IJAME), volume 27, number 2 (2022)
- International Journal of Applied Mechanics and Engineering (IJAME), volume 27, number 2 (2022) - Contents
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International Journal of Applied Mechanics and Engineering (IJAME), volume 27, number 1 (2022)
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International Journal of Applied Mechanics and Engineering (IJAME), volume 19 (2014)
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International Journal of Applied Mechanics and Engineering (IJAME), volume 18 (2013)
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International Journal of Applied Mechanics and Engineering (IJAME), volume 29 (2024)
| Nazwa wydania | Data |
|---|---|
| Modeling and optimization of cutting parameters when turning EN-AW-1350 aluminum alloy | 2023-10-30 |
