In metal cutting processes, the use of cutting fluids shows significant effects on workpiece surface quality by reducing thermomechanical loads on cutting tool and workpiece. Many efforts are made to model these thermomechanical processes, however without considering detailed heat transfer between cutting fluid, tool, and workpiece. To account for heat transfer effects, a coupling approach is developed, which combines computational fluid dynamics (CFD) and finite element method (FEM) chip formation simulation. Prior to the simulation, experimental investigations in orthogonal cutting in dry and wet cutting conditions with two different workpiece materials (AISI 1045 and DA 718) are conducted. To measure the tool temperature in dry as well as in wet cutting conditions, a two color pyrometer is placed inside an electrical discharge machining (EDM) drilled cutting tool hole. Besides tool temperature, the cutting force is recorded during the experiments and later used to calculate heat source terms for the CFD simulation. After the experiments, FEM chip formation simulations are performed and provide the chip forms for the CFD mesh generation. In general, CFD simulation and experiment are in reasonable agreement, as for each workpiece setup the measured temperature data are located between the simulation results from the two different tool geometries. Furthermore, numerical and experimental results both show a decrease of tool temperature in wet cutting conditions, however revealing a more significant cooling effect in a AISI 1045 workpiece setup. The results suggest that the placement of drilling holes has a major influence on the local tool temperature distribution, as the drilling hole equals a thermal resistance and hence leads to elevated temperatures at the tool front.

References

References
1.
Xavior
,
M. A.
, and
Adithan
,
M.
,
2009
, “
Determining the Influence of Cutting Fluids on Tool Wear and Surface Roughness During Turning of AISI 304 Austenitic Stainless Steel
,”
J. Mater. Process. Technol.
,
209
(
2
), pp.
900
909
.
2.
Yan
,
P.
,
Rong
,
Y.
, and
Wang
,
G.
,
2016
, “
The Effect of Cutting Fluids Applied in Metal Cutting Process
,”
Proc. Inst. Mech. Eng. Part B: J. Eng. Manuf.
,
230
(
1
), pp.
19
37
.
3.
Ebbrell
,
S.
,
Woolley
,
N.
,
Tridimas
,
Y.
,
Allanson
,
D.
, and
Rowe
,
W.
,
2000
, “
The Effects of Cutting Fluid Application Methods on the Grinding Process
,”
Int. J. Mach. Tools. Manuf.
,
40
(
2
), pp.
209
223
.
4.
Agapiou
,
J. S.
,
2018
, “
Performance Evaluation of Cutting Fluids With Carbon Nano-onions As Lubricant Additives
,”
Proc. Manuf.
,
26
, pp.
1429
1440
.
5.
Amrita
,
M.
,
Shariq
,
S.
,
Manoj
, and
Gopal
C.
,
2014
, “
Experimental Investigation on Application of Emulsifier Oil Based Nano Cutting Fluids in Metal Cutting Process
,”
Proc. Eng.
,
97
, pp.
115
124
.
6.
Çolak
,
O.
,
2012
, “
Investigation on Machining Performance of Inconel 718 in High Pressure Cooling Conditions
,”
J. Mech. Eng.
,
58
(
11
), pp.
683
690
.
7.
Courbon
,
C.
,
Kramar
,
D.
,
Krajnik
,
P.
,
Pusavec
,
F.
,
Rech
,
J.
, and
Kopac
,
J.
,
2009
, “
Investigation of Machining Performance in High-Pressure Jet Assisted Turning of Inconel 718: An Experimental Study
,”
Int. J. Mach. Tools. Manuf.
,
49
(
14
), pp.
1114
1125
.
8.
Shet
,
C.
,
Deng
,
X.
, and
Bayoumi
,
A. E.
,
2003
, “
Finite Element Simulation of High-Pressure Water-Jet Assisted Metal Cutting
,”
Int. J. Mech. Sci.
,
45
(
6–7
), pp.
1201
1228
.
9.
Klocke
,
F.
,
Döbbeler
,
B.
,
Peng
,
B.
, and
Lakner
,
T.
,
2017
, “
FE-Simulation of the Cutting Process Under Consideration of Cutting Fluid
,”
Proc. CIRP
,
58
, pp.
341
346
.
10.
Pervaiz
,
S.
,
Deiab
,
I.
,
Wahba
,
E. M.
,
Rashid
,
A.
, and
Nicolescu
,
M.
,
2014
, “
A Coupled FE and CFD Approach to Predict the Cutting Tool Temperature Profile in Machining
,”
Proc. CIRP
,
17
, pp.
750
754
.
11.
Oezkaya
,
E.
, and
Biermann
,
D.
,
2018
, “
A New Reverse Engineering Method to Combine FEM and CFD Simulation Three-Dimensional Insight Into the Chipping Zone During the Drilling of Inconel 718 With Internal Cooling
,”
Machining Sci. Technol.
,
22
(
6
), pp.
1
18
.
12.
Klocke
,
F.
,
Döbbeler
,
B.
,
Peng
,
B.
, and
Schneider
,
S.
,
2018
, “
Tool-based Inverse Determination of Material Model of Direct Aged Alloy 718 for FEM Cutting Simulation
,”
Proc. CIRP
,
77
, pp.
54
57
.
13.
Rohlfs
,
W.
,
Ehrenpreis
,
C.
,
Haustein
,
H. D.
, and
Kneer
,
R.
,
2014
, “
Influence of Viscous Flow Relaxation Time on Self-Similarity in Free-Surface Jet Impingement
,”
Int. J. Heat. Mass. Transfer.
,
78
, pp.
435
446
.
14.
Kneer
,
R.
,
Haustein
,
H.
,
Ehrenpreis
,
C.
, and
Rohlfs
,
W.
,
2014
, “
Flow Structures and Heat Transfer in Submerged and Free Laminar Jets
,’
International Heat Transfer Conference
,
Kyoto, Japan
, Paper No. IHTC15-KN28.
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