Modelling and multiobjective optimization for productivity improvement in high speed milling of Ti–6Al–4V using RSM and GA

Productivity can be improved in machining by achieving higher material removal rate (MRR) and better surface finish at lower power consumption along with higher tool life. Present work focuses on analyzing power consumption, material removal rate; surface roughness and tool wear in high speed millin...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Journal of the Brazilian Society of Mechanical Sciences and Engineering Ročník 39; číslo 12; s. 5069 - 5085
Hlavní autoři:	Sahu, Neelesh Kumar, Andhare, Atul B.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2017 Springer Nature B.V
Témata:	Correlation coefficients Cutting parameters Cutting speed Design of experiments Engineering Face milling Feed rate Genetic algorithms High speed machining Material removal rate (machining) Mechanical Engineering Milling (machining) Multiple objective analysis Optimization Power consumption Process parameters Production planning Productivity Response surface methodology Surface finish Surface roughness Technical Paper Titanium base alloys Tool life Tool wear Variance analysis Surface roughness Ti–6Al–4V Power consumption Response surface methodology MRR
ISSN:	1678-5878, 1806-3691
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!