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...

Full description

Saved in:

Bibliographic Details
Published in:	Journal of cleaner production Vol. 289; p. 125777
Main Authors:	Cao, Weidong, Ni, Jianjun, Jiang, Boyan, Ye, Changqing
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 20.03.2021
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!