1993
DOI: 10.1016/s0007-8506(07)62397-x
|View full text |Cite
|
Sign up to set email alerts
|

Effect of Tool Edge Geometry on Energy Dissipation in Ultraprecision Machining

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

8
71
0
1

Year Published

2003
2003
2016
2016

Publication Types

Select...
5
3
2

Relationship

1
9

Authors

Journals

citations
Cited by 173 publications
(85 citation statements)
references
References 14 publications
8
71
0
1
Order By: Relevance
“…The concept has emerged of a critical ratio of uncut chip thickness a c to edge radius r e , below which chip formation changes from cutting to ploughing dominated. Below the critical value, large increases in specific forces have been measured [2,3]. Changed surface appearances from clean cut to burnished have been reported [4,5].…”
Section: Introductionmentioning
confidence: 94%
“…The concept has emerged of a critical ratio of uncut chip thickness a c to edge radius r e , below which chip formation changes from cutting to ploughing dominated. Below the critical value, large increases in specific forces have been measured [2,3]. Changed surface appearances from clean cut to burnished have been reported [4,5].…”
Section: Introductionmentioning
confidence: 94%
“…The experimental studies of Lucca et al [13,14] on the force system which results when machining at small depths of cut have shown that the cutting process can be considered to transition from a cutting dominant to sliding/plowing dominant process as depth of cut is decreased. In particular, the effect of the tool edge geometry is seen to play an important role in this transition.…”
Section: 2mentioning
confidence: 99%
“…Developing predictive techniques to improve the quality of micro parts has emerged as an important research area. In micromachining, the interaction between the cutting edge geometry and the work material significantly affects the outcome of the process [4]. Mechanistic modeling approach is commonly used in modeling the micromachining process [5][6][7][8][9].…”
Section: Introductionmentioning
confidence: 99%