2020
DOI: 10.1007/s00170-020-05317-7
|View full text |Cite
|
Sign up to set email alerts
|

Multi-objective optimization of experimental and analytical residual stresses in pre-stressed cutting of thin-walled ring using glowworm swarm optimization algorithm

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 6 publications
(2 citation statements)
references
References 35 publications
0
2
0
Order By: Relevance
“…Often, during the relaxation process, the objects are destroyed, which is also associated with additional costs [7,15,18,31,32]. However, it should be noted that deformations of thin-walled elements also arise from other factors, such as temperature, clamping force, cutting force, tool geometry, etc., [33][34][35][36][37][38].…”
Section: Methodsmentioning
confidence: 99%
“…Often, during the relaxation process, the objects are destroyed, which is also associated with additional costs [7,15,18,31,32]. However, it should be noted that deformations of thin-walled elements also arise from other factors, such as temperature, clamping force, cutting force, tool geometry, etc., [33][34][35][36][37][38].…”
Section: Methodsmentioning
confidence: 99%
“…Thin-walled element deformations are difficult to forecast, as, apart from residual stresses, they result from a number of other factors, including: temperature, clamping force, cutting force, tool geometry, etc. [ 13 , 19 , 30 , 37 , 38 , 39 , 40 , 41 ].…”
Section: Introductionmentioning
confidence: 99%