2015
DOI: 10.1016/j.cirp.2015.04.056
|View full text |Cite
|
Sign up to set email alerts
|

Energy efficient machining of Ti–6Al–4V

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

1
7
0

Year Published

2016
2016
2023
2023

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 25 publications
(8 citation statements)
references
References 3 publications
1
7
0
Order By: Relevance
“…Polynomial fit was done between trades off points for developed relationship between MRR and power consumption as shown in Eq. (12). Equation (12) can also provide power consumption for desired value of MRR ( Fig.…”
Section: Pareto Optimalitymentioning
confidence: 99%
See 2 more Smart Citations
“…Polynomial fit was done between trades off points for developed relationship between MRR and power consumption as shown in Eq. (12). Equation (12) can also provide power consumption for desired value of MRR ( Fig.…”
Section: Pareto Optimalitymentioning
confidence: 99%
“…Constant power consumption in machine tool includes power required for chip removal, coolant pump, CNC controller, automated tool changer, condition monitoring device and so on. Variable power consumption includes machining of material and feed acceleration and deceleration which accounts for 30% of total power consumption of machine tool [10][11][12]. Variable power consumption depends on material properties and machining and tool conditions which can increase in case of super alloys like titanium alloys.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Approximately 6-40% of the total energy consumption can be saved together with the optimization of cutting parameters, tools and tool path. As demonstrated by Denkena et al (2015), energy of the spindle motor can be saved to more than 40% by changing the process parameters at the same material removal rate. Therefore, it is imperative to have a thorough study of the dependence of energy efficiency on machining parameters, and some feasible and reliable optimization methods for energy saving are required to be systematically developed.…”
Section: Introductionmentioning
confidence: 96%
“…Together with poor thermal conductivity, these material properties are also responsible for making Ti6Al4V a difficult-to-machine material [3]. With its high strength and toughness, a large amount of energy is required during machining operations [4]. The majority of the energy used for material cutting transforms into heat at the cutting zone.…”
Section: Introductionmentioning
confidence: 99%