Pregled bibliografske jedinice broj: 988564
Mathematical modeling of an experimental- analytical method for friction coefficient determination in deep drawing
Mathematical modeling of an experimental- analytical method for friction coefficient determination in deep drawing // Materialwissenschaft und Werkstofftechnik, 50 (2019), 372-381 doi:10.1002/mawe.201800018 (međunarodna recenzija, članak, znanstveni)
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Naslov
Mathematical modeling of an experimental- analytical method for friction coefficient determination in deep drawing
Autori
Lela, Branimir ; Krolo, Jure ; Mirić, Tea
Izvornik
Materialwissenschaft und Werkstofftechnik (0933-5137) 50
(2019);
372-381
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Strip drawing method ; Friction coefficient determination ; Mathematical modelling ; Deep drawing process ; Regression analysis
Sažetak
The main aim of this paper is to determine the friction coefficient (µ) and maximum drawing force in deep drawing process of aluminum alloy EN AW 1050 utilizing strip drawing method. Influence and interaction between lubrication condition, blank holder force and strip surface roughness on maximum drawing force and friction coefficient are investigated. Response surface methodology and D-Optimal design are utilized in order to create an experimental plan. According to the design, 23 strip drawings experiments are performed and statistical analysis was done. The regression and variance analysis results with 18 significant mathematical models which are derived in order to describe influence of mentioned parameters on friction coefficient and maximum drawing force. Results are discussed according to previous research. Finally, the optimization of processing parameters is performed aiming for lower friction coefficient and maximal drawing force.
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus