A three-stage parameter prediction approach for low-carbon gear hobbing

Low carbonization is an inevitable pathway toward the sustainable development of gear machining. Reliable and reasonable prediction of hobbing parameters can effectively reduce energy consumption and carbon emissions. The initial value of process parameters is often generated in a large range, which...

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Vydané v:	Journal of cleaner production Ročník 289; s. 125777
Hlavní autori:	Cao, Weidong, Ni, Jianjun, Jiang, Boyan, Ye, Changqing
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 20.03.2021
Predmet:	algorithms carbon carbonization cutting data collection emissions energy Gear hobbing hybrids Improved multi-objective Harris hawks optimization Low-carbon Parameter prediction prediction regression analysis sustainable development ε-support vector regression ε-support vector regression Parameter prediction Improved multi-objective Harris hawks optimization Gear hobbing Low-carbon
ISSN:	0959-6526, 1879-1786
On-line prístup:	Získať plný text
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