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Simulation of cutting process in peripheral milling by predictive cutting force
model based on minimum cutting energy
Takashi Matsumura n
, Eiji Usui
Department of Mechanical Engineering, Tokyo Denki University, 2-2 Kanda-Nishiki-cho, Chiyoda-ku, Tokyo 101-8457, Japan
a r t i c l e i n f o
Article history:
Received 7 October 2009
Received in revised form
24 January 2010
Accepted 26 January 2010
Available online 1 February 2010
Keywords:
Cutting
Ball end mill
Cutting force
Chip flow
Cutting energy
Peripheral cutting
a b s t r a c t
The cutting force and the chip flow direction in peripheral milling are predicted by a predictive force
model based on the minimum cutting energy. The chip flow model in milling is made by piling up the
orthogonal cuttings in the planes containing the cutting velocities and the chip flow velocities. The
cutting edges are divided into discrete segments and the shear plane cutting models are made on the
segments in the chip flow model. In the peripheral milling, the shear plane in the cutting model cannot
be completely made when the cutting point is near the workpiece surface. When the shear plane is
restricted by the workpiece surface, the cutting energy is estimated taking into account the restricted
length of the shear plane. The chip flow angle is determined so as to minimize the cutting energy. Then,
the cutting force is predicted in the determined chip flow model corresponding to the workpiece shape.
The cutting processes in the traverse and the contour millings are simulated as practical operations and
the predicted cutting forces verified in comparison with the measured ones. Because the presented
model determines the chip flow angle based on the cutting energy, the change in the chip flow angle
can be predicted with the cutting model.
& 2010 Elsevier Ltd. All rights reserved.
1. Introduction
Machine shops in the mold manufacturing industries perform
milling operations to finish sculptured surfaces with ball end
mills. The cutter paths should be determined by evaluating the
cutting forces because the machining errors largely depend on
the cutting forces. Fine surface quality and machining accuracy
are also required in finishing the mold. Because chips sometimes
scratch the finished surfaces, coolants have been supplied for
control of the chip flow as well as cooling and lubrication.
However, the usage of coolants has recently been restricted from
the environmental point of view. Therefore, chip control should
be considered in the determinations of cutting parameters and
cutter path.
Many researches have been made on force models in milling
processes. Smith and Tlusty [1] reviewed many works in the
modeling of milling processes. Ehamann et al. [2] also reviewed
mechanistic models in milling. Koenigsberger and Sabberwal [3]
developed a mechanistic model for slab milling and face milling
operations based on the cutting force coefficients. Kline et al. [4]
developed a model to predict milling forces based on the chip
load. Armarego and Deshpande [5,6] predicted cutting forces in
end milling based on the oblique cutting model. Liu et al. [7]
presented a model in the peripheral milling with associated
machining error. Ratchev et al. [8] performed simulations to
control the cutting load.
Recently, so many ball end mills have been used to finish
sculptured surfaces in machine shops. Many force models have
been presented since the work done by Yang and Park [9].
Bayoumi et al. [10] presented a mechanistic force model of the
profile end mill. Most of them predicted the cutting force based on
the cutting coefficient [11] or the oblique cutting mechanism [12].
These force models in the ball end milling have been applied to
more practical operations. Imani et al. [13] developed the process
simulation for ball end milling taking into account the workpiece
shape. Fontaine et al. [14] presented a force model in a wavelike
form machining process. Kim et al. [15] applied a force model of
the ball end mill to the sculptured surface cutting using Z-map.
Lazoglu [16] presented a generalized model for machining of the
sculptured surface. However, the change in chip flow direction
with cutter path has not been predicted in their models. Although
the force models based on the oblique cutting consider the chip
flow directions, chip flow angles were given uniquely by an
assumption based on the local edge inclination or with the
approximation equation. However, the chip flow angle depends
not only on the edge geometry but also on friction on the rake face
of the tool and material properties.
FE analysis is an effective approach to review the cutting
processes with chip formations [17]. Commercial softwares have
recently been available to simulate the milling and the drilling
ARTICLE IN PRESS
Contents lists available at ScienceDirect
journal homepage: www.elsevier.com/locate/ijmactool
International Journal of Machine Tools & Manufacture
0890-6955/$ - see front matter & 2010 Elsevier Ltd. All rights reserved.
doi:10.1016/j.ijmachtools.2010.01.007
n
Corresponding author. Tel.: +81 3 5280 3391; fax: +81 3 5280 3568.
E-mail address: tmatsumu@cck.dendai.ac.jp (T. Matsumura).
International Journal of Machine Tools & Manufacture 50 (2010) 467–473
ARTICLE IN PRESS
processes. However, it requires a long time for simulating changes
in cutting processes in practical operations such as contour
milling.
Usui et al. [18] presented a force model to predict cutting
forces with the chip flow model based on the cutting energy. Later
Matsumura and Usui [19] presented a force model for cutting
with the complex-shaped end mills and applied the model to
simulations of slotting operations. Many peripheral milling
operations are also performed in the mold machining. In the
simulation for the peripheral milling, the cutting or the non-
cutting process should be considered when the chip flow model is
determined corresponding to the workpiece shape.
This paper presents a force model based on the minimum
cutting energy for the peripheral milling process. The cutting
force and the chip flow direction are predicted taking into account
the change in the workpiece shape. Some case studies in the
peripheral millings with a ball end mill are shown to verify the
presented force model.
2. Force model in the peripheral milling process
2.1. Outline of the force model based on the minimum cutting energy
A force model for complex-shaped end milling was presented
with a detail procedure for analysis in Ref. [19]. This force model
is briefly described here. Fig. 1(a) shows the chip flow on the rake
face of a ball end mill. The force model predicts the cutting force
in the direction of X-, Y- and Z-axis designated in Fig. 1 along with
the chip flow direction. The chip flow in milling is interpreted as a
piling up of orthogonal cuttings in the planes containing the
cutting velocities V and the chip flow velocities Vc. Thus, the
cutting edges are divided into discrete edge segments and ortho-
gonal cutting models are made on the segments. The orthogonal
cutting models are obtained by the following equation:
f ¼ fða; V; t1Þ
ts ¼ gða; V; t1Þ
b ¼ hða; V; t1Þ
9
>=
>;
ð1Þ
where f, ts and b are the shear angle, the shear stress on the shear
plane and the friction angle in the orthogonal cutting; a, V and t1
are the rake angle, the cutting velocity and the uncut chip
thickness. Eq. (1) is obtained from the orthogonal cutting tests.
The cutting energy, which is the sum of the shear energy on the
shear plane and the friction energy on the rake face, is calculated
in the cutting model. Because the cutting model changes with
chip flow angle, the chip flow angle is determined to minimize the
cutting energy in the chip flow model. Then, the cutting force
loaded on the tool can be predicted in the determined chip flow
model.
2.2. Cutting model in peripheral milling
Cutting models on the segmented cutting areas should be
made taking into account the workpiece shape in the peripheral
milling. When the cutting point is near the workpiece surface, the
shear plane cannot be completely determined, i.e., the shear
planes to be determined in the cutting models are restricted by
the workpiece surface. Therefore, the lengths of the shear planes
have to be calculated to estimate the cutting energy in the cutting
models.
Fig. 1(b) shows the coordinate systems in the analysis. X–Y–Z is
the reference system; X0
–Y0
–Z0
rotates with the cutting edge at
angular velocity o. Because the cutting velocity VRE is the
resultant of the circumferential velocity VP and the feed rate f,
as shown in Fig. 1(b), the orthogonal cutting model is determined
in the X00
–Y00
–Z00
coordinate system based on the direction of the
cutting velocity. The Y00
-axis is defined in the velocity direction
and the X00
-axis is perpendicular to the Y00
-axis.
The cutting model in the peripheral milling depends on the
cutting position relative to the workpiece surface. Fig. 2 shows
the orthogonal cutting model at a cutting point on an edge. Plane
PCGEF contains the cutting velocity and the chip flow velocity at
Point P. The rake face of the tool PACBD inclines at the radial rake
angle aR
00
and the axial rake angle aA
00
in X00
–Y00
–Z00
. The orthogonal
cutting model is made in PCGEF based on Eq. (1), as shown in
Fig. 2(a), when the shear plane completely occurs in the material.
Point Q is the end of the shear plane in the cutting model. When
the shear plane to be made in the cutting model crosses the
workpiece surface as shown in Fig. 2(b), the end of the shear plane
is regarded as Point Q0
. PCGEF is divided into the inside and the
outside of the workpiece.
The surface of the workpiece to be removed is expressed by a
combination of finite discrete surfaces in X–Y–Z:
Siðx; y; zÞ ¼ 0 ð2Þ
where i is the index of the discrete surface. The presence of
material with respect to Eq. (2) is switched by a cutting manner.
Si(x,y,z)Z0 is associated with the inside of the material in the up-
cut milling. The inside of the material in the down-cutting is given
by Si(x,y,z)r0.
The coordinates of P and Q in X00
–Y00
–Z00
are transformed to
those of the rotating coordinate system X0
–Y0
–Z0
by the following
VRE
VC
Chip
Rake face
Surface finished by
the previous cutter
Orthogonal cutting plane
Cutting area on
orthogonal cutting plane
Rotation axis
Y
Z
Feed
Chip flow angle
X
Cutter path
O
P
Y
Y"
X"
VP
VRE
f
Feed direction Z
Z
Y
X
X
Z"
RP
ft
t-
Fig. 1. Chip flow model in analysis. (a) Chip flow in milling with a ball end mill. (b)
Coordinate systems in analysis.
T. Matsumura, E. Usui / International Journal of Machine Tools & Manufacture 50 (2010) 467–473468
ARTICLE IN PRESS
equations:
x0
¼ x00
cosYÀy00
sinY
y0
¼ x00
sinYþy00
cosY
z0
¼ z00
9
>=
>;
ð3Þ
Y is the wedge angle between the direction of the circumferential
velocity and that of the resultant cutting velocity at P, as shown in
Fig. 1(b), and is given by
tanY ¼
fsinðotÀgÞ
RPoþfcosðotÀgÞ
ð4Þ
where RP is the radius of rotation at P. The coordinates of P and Q
in X0
–Y0
–Z0
are transformed to those of the reference coordinate
system X–Y–Z by the following equations:
x ¼ x0
sinðotÀgÞÀy0
cosðotÀgÞþft
y ¼ x0
cosðotÀgÞþy0
sinðotÀgÞ
z ¼ z0
9
>=
>;
ð5Þ
where t, f and g are time, feed rate and delay angle of P with
respect to the bottom of the edge, respectively.
When the coordinates (xQ, yQ, zQ) of Q satisfy the following
conditions, the end point of the shear plane Q exists in the
material:
SiðxQ ; yQ ; zQ ÞZ0; up-cutting
SiðxQ ; yQ ; zQ Þr0; down-cutting
(
ð6Þ
Therefore, the orthogonal cutting model can be formulated by
Eq. (1) without considering the workpiece surface as shown in
Fig. 2(a).
When the coordinates (xP, yP, zP) of P satisfy the following
conditions, P exists outside the material:
SiðxP; yP; zPÞo0; up-cutting
SiðxP; yP; zPÞ40; down-cutting
(
ð7Þ
Therefore, no cutting force is loaded on the tool because the
cutting point P does not remove the material.
When the coordinates of P and Q are in the following
conditions, P exists inside, whereas Q exists outside the material:
up-cutting :
SiðxP; yP; zPÞZ0
SiðxQ ; yQ ; zQ Þo0
(
ð8Þ
down-cutting :
SiðxP; yP; zPÞr0
SiðxQ ; yQ ; zQ Þ40
(
ð9Þ
A
B
O
α
''
R
''
A
c
X
''
Cutting edge
e
n
Vs
Rake face
Orthogonal
cutting plane
Rotation axis
Y
''
(VREP)
e
Z''
Vc
D
G
P
Q
E
C
F
A
B
O
''
R
''
A
c
X
''
Cutting edge
e
n
Vs Q
Rake face
Orthogonal
cutting plane
Workpiece
surface
Rotation axis
Y
''
(VRE)
e
Z
''
Vc
D
G
P
Q
E
C
F
0
0




P
Fig. 2. Orthogonal cutting model in peripheral milling. (a) Orthogonal cutting
model in the material. (b) Orthogonal cutting model restricted by workpiece
surface.
Z
X
Y
Feed
2.0mm
7.5mm
Workpiece
Tool
Workpiece
Tool
Z
Y
Fig. 3. Peripheral cutting operation with repeating pick feed. (a) Cutter path. (b)
Initial position of ball end mill in the Y–Z plane.
T. Matsumura, E. Usui / International Journal of Machine Tools & Manufacture 50 (2010) 467–473 469
ARTICLE IN PRESS
Q0
is the intersection of the shear plane PQ and the workpiece
surface as shown in Fig. 2(b). The shear energy is estimated as the
energy consumed in the shear plane PQ0
. PQ is expressed by the
following equation with parameter z:
xÀxP
xQ ÀxP
¼
yÀyP
yQ ÀyP
¼
zÀzP
zQ ÀzP
¼ z ð10Þ
For the coordinates of Q0
, the parameter zQ0 can be determined by
substituting Eq. (10) in Eq. (2). Then, the length of PQ0
can be
given by
PQ0 ¼ zQ0
ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi
ðxQ ÀxPÞ2
þðyQ ÀyPÞ2
þðzQ ÀzPÞ2
q
ð11Þ
When the chip flow angle is assumed, the chip flow model is
constructed by piling up the orthogonal cuttings on the
segmented cutting areas. The shear energy on each segmented
area is estimated corresponding to the length of the shear plane
given by the above procedure. Then, the cutting energy can be
estimated as the sum of the friction energy on the rake face and
the shear energy on the shear plane. Because the cutting model
changes with the chip flow angle, the chip flow angle is
determined to minimize the cutting energy consumed in the chip
flow model. Finally, the cutting force can be predicted in the chip
flow model at the minimum cutting energy.
3. Case study
3.1. Traverse cutting with repeating pick feed
The presented model was verified for traverse cutting, where
peripheral cutting was repeated with the pick feed as shown in
Fig. 3(a). The workpiece shape to be machined changes with the
pick feed in the operation. The tool geometry and the cutting
conditions are shown in Table 1.
The orthogonal cutting models were determined by the
following equation corresponding to Eq. (1) for a combination of
0.45% carbon steel and carbide tool:
f ¼ expð0:01022V þ28671:2t1 þ0:07482aÀ0:48355Þ
ts ¼ expðÀ0:44485VÀ18569:8t1 þ0:62798aþ20:39367Þ
b ¼ expð0:73741V þ29600:4t1À0:78319aÀ0:93674Þ
9
>>=
>>;
ð12Þ
Fig. 3(b) shows the initial position of the ball end mill in the
Y–Z plane. The distance between the end face of workpiece and
the center of the cutter is 7.5 mm. The pick feed given by the
radial depth of cut is 5 mm. The end shape of the workpiece in the
nth path operation is mathematically expressed by
ðyþpÞ2
þðzÀRÞ2
¼ R2
½zZhcŠ
yÀfRÀðnþ1Þpg ¼ 0 ½zohcŠ
9
>=
>;
ð13Þ
where p is the pick feed and hc the lowest height of the curved
surface machined by the previous cutter path:
hc ¼
RÀ
ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi
2RðnÀ1ÞpÀðnÀ1Þ2
p2
q
½ðnÀ1ÞprRŠ
0 ½ðnÀ1Þp4RŠ
8
<
:
ð14Þ
The cutting processes are predicted in the first and the second
paths. Fig. 4 shows the schematic removal shapes viewed in the
feed direction and the height of the cutting area during a rotation
Table 1
Cutting conditions.
Workpiece 0.45% Carbon steel Spindle speed 985 rpm
Tool Ball end mill
(insert type)
Feed rate 197 mm/min
Number of edges 2 Axial depth of cut 2 mm
Tool radius 25 mm Lubrication Dry
Radial rake angle 0 deg
Axial rake angle 01
0.0
0.50
1.0
1.5
2.0
2.5
3.0
0 0.01 0.02 0.03 0.04 0.05
Edge 1
Edge 2
Heightmm
Time s
0.0
0.50
1.0
1.5
2.0
2.5
3.0
0 0.01 0.02 0.03 0.04 0.05
Edge 1
Edge 2
Heightmm
Time s
0
0.5
1
1.5
2
2.5
3
-4 -2 0 2 4 6 8
Cutting edge
Workpiece shape
zmm
y mm
Removed
area
0
0.5
1
1.5
2
2.5
3
-4 -2 0 2 4 6 8
Cutting edge
Workpiece shape
zmm
y mm
Removed
area
Fig. 4. Cutting areas during a rotation of cutter. (a)First path. (b) Second path.
T. Matsumura, E. Usui / International Journal of Machine Tools & Manufacture 50 (2010) 467–473470
ARTICLE IN PRESS
of the cutter. The cutting edge is divided into 16 discrete
segments and the time division is 64 in a rotation. Compared
with the removal area in the first path, the removal area in the
second path enlarges. Then, the upper cutting area in the second
path reduces in the latter of the cutting period of an edge due to
the workpiece shape machined in the first path. Fig. 5 shows the
predicted and measured cutting forces. The predicted cutting
forces can be verified in comparison with the measured cutting
forces. The cutting force in the second path changes with the
workpiece shape machined by the previous path.
Fig. 6(a) shows the shear plane length and the uncut chip
thickness during a rotation of the cutter in the second path. The
shear plane length changes with uncut chip thickness. Fig. 6(b)
shows the chip flow angle (Zc+Z0) in Fig. 2, which is the wedge
angle between the chip flow direction and the projected axial
direction onto the rake face. The chip flow inclines toward the
radial direction with increasing chip flow angle when the shear
plane length increases with uncut chip thickness. According to
Fig. 4(b), the cutting area does not change in a certain period after
edge’s penetration into the workpiece. It should be noted that the
chip flow angle changes even though the material is removed in
the same cutting area. In the presented model, the chip flow
angle is controlled not only by the local edge inclination but also
by the cutting energy based on the shear plane cutting model.
Then, the upper cutting area reduces after the cutting edge
removes the workpiece surface machined by the first cutter path.
Because the local edge inclination with respect to the radial direc-
tion decreases with the height of the cutting position on the
ball end mill, the chip flows upward, reducing the upper cutting
area.
-1000
-500
0
500
1000
-0.01
X measured
Y measured
Z measured
X simulated
Y simulated
Z simulated
CuttingforceN
Time s
-1000
-500
0
500
1000
-0.01
X measured
Y measured
Z measured
X simulated
Y simulated
Z simulated
CuttingforceN
Time s
0.01 0.02 0.03 0.04 0.05 0.060
0 0.01 0.02 0.03 0.04 0.05 0.06
Fig. 5. Cutting forces in peripheral operations with pick feeds. (a) First path.
(b) Second path.
0
5
10
15
20
25
30
35
40
-0.01
Edge 1
Edge 2
Chipflowangledeg
Time s
-0.01
0.00
0.01
0.02
0.03
0.04
0.05
0.06
-0.01
Edge 1, shear plane length
Edge 1, uncut chip thickness
Edge 2, shear plane length
Edge 2, uncut chip thickness
Shearplanelengthmm
Uncutchipthicknessmm
Time s
0 0.01 0.02 0.03 0.04 0.05 0.06
0 0.01 0.02 0.03 0.04 0.05 0.06
Fig. 6. Cutting model and chip flow angle in the second path of peripheral milling.
(a) Shear plane length and uncut chip thickness at the center of cutting area.
(b) Chip flow angle.
-20-1001020
-25
0
25
50
75
100
Y mm
Xmm
Cutter pathSurface finish line
Workpiece
Reference
position
Fig. 7. Cutter path in contour milling.
T. Matsumura, E. Usui / International Journal of Machine Tools & Manufacture 50 (2010) 467–473 471
ARTICLE IN PRESS
3.2. Contour milling
As a more practical application, the cutting process was
simulated for contour milling with changing feed direction and
the conditions in Table 1. Eq. (12) was employed to make the
orthogonal cutting model in the chip flow. Fig. 7 shows the cutter
path in the X–Y plane with workpiece. The center of the tool
moves along the solid line. The coordinates (x, y) of the cutter path
were given by the following harmonic function:
y ¼
R
2
sin
x
4R
p
 
ð15Þ
where R is the cutter radius. When the axial depth of cut is 2 mm,
the maximum radius of the cutting area is 6.78 mm. The surface is
to be finished along the dotted line.
The feed direction changes continuously with cutter location.
In the force model, the tool is fed in the X direction in the
reference coordinate system, as shown in Fig. 1(b). Therefore,
the simulation was performed in an equivalent cutting manner as
shown in Fig. 8. The end face of the workpiece rotates
corresponding to the feed direction. The end face is inclined at
the angle y given by the differential coefficient of Eq. (15). Then,
the coordinates (x, y) in X–Y–Z are transformed to (xn
, yn
) in the
coordinate system inclined at the angle y as follows:
xÃ
yÃ
 #
¼
cosy siny
Àsiny cosy
 
x
y
 #
ð16Þ
Because the end face of workpiece contains the origin of the
coordinate system, the plane equation of workpiece can be
expressed as
xÃ
sinyþyÃ
cosy ¼ 0 ð17Þ
Fig. 9 shows the predicted and measured cutting forces at
distances of 0, 25 and 50 mm from the reference position
designated in Fig. 7. The predicted cutting forces agree with the
measured ones. Fig. 10 shows the chip flow angle. The change in
the chip flow angle can be reviewed in the simulation as well as
the cutting force.
4. Conclusion
A force model based on the minimum cutting energy was
applied for prediction of the cutting force and the chip flow
direction in peripheral milling. Three-dimensional chip flow in
Cutter path
Surface line to
be finished
Cutter path
Surface line to
be finished
X
Y
X*
Y*
Fig. 8. Cutting process with changing feed direction. (a) Original cutter path. (b)
Equivalent manner.
-1000
-500
0
500
1000
0
X measured
Y measured
Z measured
X simulated
Y simulated
Z simulated
CuttingforceN
Time s
-1000
-500
0
500
1000
7.55
X measured
Y measured
Z measured
X simulated
Y simulated
Z simulated
CuttingforceN
Time s
-1000
-500
0
500
1000
15.22
X measured
Y measured
Z measured
X simulated
Y simulated
Z simulated
CuttingforceN
Time s
0.01 0.02 0.03 0.04 0.05
7.56 7.57 7.58 7.59 7.6 7.61
15.23 15.24 15.25 15.26 15.27 15.28
Fig. 9. Cutting forces in contour milling. (a) Cutting position: 0 mm. (b) Cutting
position: 25 mm. (c) Cutting position: 50 mm.
T. Matsumura, E. Usui / International Journal of Machine Tools  Manufacture 50 (2010) 467–473472
ARTICLE IN PRESS
milling is interpreted as a piling up of orthogonal cuttings in the
planes containing the cutting velocities and the chip flow
velocities. The chip flow angle is determined to minimize the
cutting energy. Then, the cutting force is predicted for the
determined chip flow model. The conclusions of this paper are
summarized as follows:
(1) In peripheral milling, the shear plane to be determined in the
cutting model is restricted by the workpiece shape when
the cutting edge removes the material near the end face of
the workpiece. Then, the shear plane length is analyzed
mathematically. The shear energy in the cutting model is
estimated as the energy consumed in the restricted shear
plane length. As a result, the chip flow model can be made
taking into account the change in the shear plane length.
(2) The presented model was verified for traverse milling with
repeated pick feed and contour milling. The model predicts
the cutting force and the chip flow direction well correspond-
ing to the workpiece shape to be removed and feed direction.
The cutter path and the cutting parameters can be optimized
by reviewing the cutting process in simulations based on the
presented model.
(3) The presented model determines the chip flow angle based
on the cutting energy. Therefore, the chip flow angle depends
not only on the local edge inclination of the milling tool but
also on parameters of the cutting models such as shear plane
length.
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[13] B.M. Imani, M.H. Sadeghi, M.A. Elbestawi, An improved process simulation
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[14] M. Fontaine, A. Devillez, A. Moufki, D. Dudzinski, Predictive force model for
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(2006) 367–380.
[15] G.M. Kim, P.J. Cho, C.N. Chu, Cutting force prediction of sculptured surface
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milling force system, International Journal of Machine Tools and Manufacture
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[17] J. Mackerle, Finite element analysis and simulation of machining: an
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[19] T. Matsumura, E. Usui, Predictive cutting force model in complex-shaped end
milling based on minimum cutting energy, International Journal of Machine
Tools and Manufacture 50 (5) (2010) 458–466.
0
5
10
15
20
25
30
35
40
0
Edge 1
Edge 2
Chipflowangledeg
Time s
0
5
10
15
20
25
30
35
40
7.55
Edge 1
Edge 2
Chipflowangledeg
Time s
0
5
10
15
20
25
30
35
40
15.22
Edge 1
Edge 2
Chipflowangledeg
Time s
0.01 0.02 0.03 0.04 0.05
7.56 7.57 7.58 7.59 7.6 7.61
15.23 15.24 15.25 15.26 15.27 15.28
Fig. 10. Chip flow angles in contour milling. (a) Cutting position: 0 mm.
(b) Cutting position: 25 mm. (c) Cutting position: 50 mm.
T. Matsumura, E. Usui / International Journal of Machine Tools  Manufacture 50 (2010) 467–473 473

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  • 1. Simulation of cutting process in peripheral milling by predictive cutting force model based on minimum cutting energy Takashi Matsumura n , Eiji Usui Department of Mechanical Engineering, Tokyo Denki University, 2-2 Kanda-Nishiki-cho, Chiyoda-ku, Tokyo 101-8457, Japan a r t i c l e i n f o Article history: Received 7 October 2009 Received in revised form 24 January 2010 Accepted 26 January 2010 Available online 1 February 2010 Keywords: Cutting Ball end mill Cutting force Chip flow Cutting energy Peripheral cutting a b s t r a c t The cutting force and the chip flow direction in peripheral milling are predicted by a predictive force model based on the minimum cutting energy. The chip flow model in milling is made by piling up the orthogonal cuttings in the planes containing the cutting velocities and the chip flow velocities. The cutting edges are divided into discrete segments and the shear plane cutting models are made on the segments in the chip flow model. In the peripheral milling, the shear plane in the cutting model cannot be completely made when the cutting point is near the workpiece surface. When the shear plane is restricted by the workpiece surface, the cutting energy is estimated taking into account the restricted length of the shear plane. The chip flow angle is determined so as to minimize the cutting energy. Then, the cutting force is predicted in the determined chip flow model corresponding to the workpiece shape. The cutting processes in the traverse and the contour millings are simulated as practical operations and the predicted cutting forces verified in comparison with the measured ones. Because the presented model determines the chip flow angle based on the cutting energy, the change in the chip flow angle can be predicted with the cutting model. & 2010 Elsevier Ltd. All rights reserved. 1. Introduction Machine shops in the mold manufacturing industries perform milling operations to finish sculptured surfaces with ball end mills. The cutter paths should be determined by evaluating the cutting forces because the machining errors largely depend on the cutting forces. Fine surface quality and machining accuracy are also required in finishing the mold. Because chips sometimes scratch the finished surfaces, coolants have been supplied for control of the chip flow as well as cooling and lubrication. However, the usage of coolants has recently been restricted from the environmental point of view. Therefore, chip control should be considered in the determinations of cutting parameters and cutter path. Many researches have been made on force models in milling processes. Smith and Tlusty [1] reviewed many works in the modeling of milling processes. Ehamann et al. [2] also reviewed mechanistic models in milling. Koenigsberger and Sabberwal [3] developed a mechanistic model for slab milling and face milling operations based on the cutting force coefficients. Kline et al. [4] developed a model to predict milling forces based on the chip load. Armarego and Deshpande [5,6] predicted cutting forces in end milling based on the oblique cutting model. Liu et al. [7] presented a model in the peripheral milling with associated machining error. Ratchev et al. [8] performed simulations to control the cutting load. Recently, so many ball end mills have been used to finish sculptured surfaces in machine shops. Many force models have been presented since the work done by Yang and Park [9]. Bayoumi et al. [10] presented a mechanistic force model of the profile end mill. Most of them predicted the cutting force based on the cutting coefficient [11] or the oblique cutting mechanism [12]. These force models in the ball end milling have been applied to more practical operations. Imani et al. [13] developed the process simulation for ball end milling taking into account the workpiece shape. Fontaine et al. [14] presented a force model in a wavelike form machining process. Kim et al. [15] applied a force model of the ball end mill to the sculptured surface cutting using Z-map. Lazoglu [16] presented a generalized model for machining of the sculptured surface. However, the change in chip flow direction with cutter path has not been predicted in their models. Although the force models based on the oblique cutting consider the chip flow directions, chip flow angles were given uniquely by an assumption based on the local edge inclination or with the approximation equation. However, the chip flow angle depends not only on the edge geometry but also on friction on the rake face of the tool and material properties. FE analysis is an effective approach to review the cutting processes with chip formations [17]. Commercial softwares have recently been available to simulate the milling and the drilling ARTICLE IN PRESS Contents lists available at ScienceDirect journal homepage: www.elsevier.com/locate/ijmactool International Journal of Machine Tools & Manufacture 0890-6955/$ - see front matter & 2010 Elsevier Ltd. All rights reserved. doi:10.1016/j.ijmachtools.2010.01.007 n Corresponding author. Tel.: +81 3 5280 3391; fax: +81 3 5280 3568. E-mail address: tmatsumu@cck.dendai.ac.jp (T. Matsumura). International Journal of Machine Tools & Manufacture 50 (2010) 467–473
  • 2. ARTICLE IN PRESS processes. However, it requires a long time for simulating changes in cutting processes in practical operations such as contour milling. Usui et al. [18] presented a force model to predict cutting forces with the chip flow model based on the cutting energy. Later Matsumura and Usui [19] presented a force model for cutting with the complex-shaped end mills and applied the model to simulations of slotting operations. Many peripheral milling operations are also performed in the mold machining. In the simulation for the peripheral milling, the cutting or the non- cutting process should be considered when the chip flow model is determined corresponding to the workpiece shape. This paper presents a force model based on the minimum cutting energy for the peripheral milling process. The cutting force and the chip flow direction are predicted taking into account the change in the workpiece shape. Some case studies in the peripheral millings with a ball end mill are shown to verify the presented force model. 2. Force model in the peripheral milling process 2.1. Outline of the force model based on the minimum cutting energy A force model for complex-shaped end milling was presented with a detail procedure for analysis in Ref. [19]. This force model is briefly described here. Fig. 1(a) shows the chip flow on the rake face of a ball end mill. The force model predicts the cutting force in the direction of X-, Y- and Z-axis designated in Fig. 1 along with the chip flow direction. The chip flow in milling is interpreted as a piling up of orthogonal cuttings in the planes containing the cutting velocities V and the chip flow velocities Vc. Thus, the cutting edges are divided into discrete edge segments and ortho- gonal cutting models are made on the segments. The orthogonal cutting models are obtained by the following equation: f ¼ fða; V; t1Þ ts ¼ gða; V; t1Þ b ¼ hða; V; t1Þ 9 >= >; ð1Þ where f, ts and b are the shear angle, the shear stress on the shear plane and the friction angle in the orthogonal cutting; a, V and t1 are the rake angle, the cutting velocity and the uncut chip thickness. Eq. (1) is obtained from the orthogonal cutting tests. The cutting energy, which is the sum of the shear energy on the shear plane and the friction energy on the rake face, is calculated in the cutting model. Because the cutting model changes with chip flow angle, the chip flow angle is determined to minimize the cutting energy in the chip flow model. Then, the cutting force loaded on the tool can be predicted in the determined chip flow model. 2.2. Cutting model in peripheral milling Cutting models on the segmented cutting areas should be made taking into account the workpiece shape in the peripheral milling. When the cutting point is near the workpiece surface, the shear plane cannot be completely determined, i.e., the shear planes to be determined in the cutting models are restricted by the workpiece surface. Therefore, the lengths of the shear planes have to be calculated to estimate the cutting energy in the cutting models. Fig. 1(b) shows the coordinate systems in the analysis. X–Y–Z is the reference system; X0 –Y0 –Z0 rotates with the cutting edge at angular velocity o. Because the cutting velocity VRE is the resultant of the circumferential velocity VP and the feed rate f, as shown in Fig. 1(b), the orthogonal cutting model is determined in the X00 –Y00 –Z00 coordinate system based on the direction of the cutting velocity. The Y00 -axis is defined in the velocity direction and the X00 -axis is perpendicular to the Y00 -axis. The cutting model in the peripheral milling depends on the cutting position relative to the workpiece surface. Fig. 2 shows the orthogonal cutting model at a cutting point on an edge. Plane PCGEF contains the cutting velocity and the chip flow velocity at Point P. The rake face of the tool PACBD inclines at the radial rake angle aR 00 and the axial rake angle aA 00 in X00 –Y00 –Z00 . The orthogonal cutting model is made in PCGEF based on Eq. (1), as shown in Fig. 2(a), when the shear plane completely occurs in the material. Point Q is the end of the shear plane in the cutting model. When the shear plane to be made in the cutting model crosses the workpiece surface as shown in Fig. 2(b), the end of the shear plane is regarded as Point Q0 . PCGEF is divided into the inside and the outside of the workpiece. The surface of the workpiece to be removed is expressed by a combination of finite discrete surfaces in X–Y–Z: Siðx; y; zÞ ¼ 0 ð2Þ where i is the index of the discrete surface. The presence of material with respect to Eq. (2) is switched by a cutting manner. Si(x,y,z)Z0 is associated with the inside of the material in the up- cut milling. The inside of the material in the down-cutting is given by Si(x,y,z)r0. The coordinates of P and Q in X00 –Y00 –Z00 are transformed to those of the rotating coordinate system X0 –Y0 –Z0 by the following VRE VC Chip Rake face Surface finished by the previous cutter Orthogonal cutting plane Cutting area on orthogonal cutting plane Rotation axis Y Z Feed Chip flow angle X Cutter path O P Y Y" X" VP VRE f Feed direction Z Z Y X X Z" RP ft t- Fig. 1. Chip flow model in analysis. (a) Chip flow in milling with a ball end mill. (b) Coordinate systems in analysis. T. Matsumura, E. Usui / International Journal of Machine Tools & Manufacture 50 (2010) 467–473468
  • 3. ARTICLE IN PRESS equations: x0 ¼ x00 cosYÀy00 sinY y0 ¼ x00 sinYþy00 cosY z0 ¼ z00 9 >= >; ð3Þ Y is the wedge angle between the direction of the circumferential velocity and that of the resultant cutting velocity at P, as shown in Fig. 1(b), and is given by tanY ¼ fsinðotÀgÞ RPoþfcosðotÀgÞ ð4Þ where RP is the radius of rotation at P. The coordinates of P and Q in X0 –Y0 –Z0 are transformed to those of the reference coordinate system X–Y–Z by the following equations: x ¼ x0 sinðotÀgÞÀy0 cosðotÀgÞþft y ¼ x0 cosðotÀgÞþy0 sinðotÀgÞ z ¼ z0 9 >= >; ð5Þ where t, f and g are time, feed rate and delay angle of P with respect to the bottom of the edge, respectively. When the coordinates (xQ, yQ, zQ) of Q satisfy the following conditions, the end point of the shear plane Q exists in the material: SiðxQ ; yQ ; zQ ÞZ0; up-cutting SiðxQ ; yQ ; zQ Þr0; down-cutting ( ð6Þ Therefore, the orthogonal cutting model can be formulated by Eq. (1) without considering the workpiece surface as shown in Fig. 2(a). When the coordinates (xP, yP, zP) of P satisfy the following conditions, P exists outside the material: SiðxP; yP; zPÞo0; up-cutting SiðxP; yP; zPÞ40; down-cutting ( ð7Þ Therefore, no cutting force is loaded on the tool because the cutting point P does not remove the material. When the coordinates of P and Q are in the following conditions, P exists inside, whereas Q exists outside the material: up-cutting : SiðxP; yP; zPÞZ0 SiðxQ ; yQ ; zQ Þo0 ( ð8Þ down-cutting : SiðxP; yP; zPÞr0 SiðxQ ; yQ ; zQ Þ40 ( ð9Þ A B O α '' R '' A c X '' Cutting edge e n Vs Rake face Orthogonal cutting plane Rotation axis Y '' (VREP) e Z'' Vc D G P Q E C F A B O '' R '' A c X '' Cutting edge e n Vs Q Rake face Orthogonal cutting plane Workpiece surface Rotation axis Y '' (VRE) e Z '' Vc D G P Q E C F 0 0 P Fig. 2. Orthogonal cutting model in peripheral milling. (a) Orthogonal cutting model in the material. (b) Orthogonal cutting model restricted by workpiece surface. Z X Y Feed 2.0mm 7.5mm Workpiece Tool Workpiece Tool Z Y Fig. 3. Peripheral cutting operation with repeating pick feed. (a) Cutter path. (b) Initial position of ball end mill in the Y–Z plane. T. Matsumura, E. Usui / International Journal of Machine Tools & Manufacture 50 (2010) 467–473 469
  • 4. ARTICLE IN PRESS Q0 is the intersection of the shear plane PQ and the workpiece surface as shown in Fig. 2(b). The shear energy is estimated as the energy consumed in the shear plane PQ0 . PQ is expressed by the following equation with parameter z: xÀxP xQ ÀxP ¼ yÀyP yQ ÀyP ¼ zÀzP zQ ÀzP ¼ z ð10Þ For the coordinates of Q0 , the parameter zQ0 can be determined by substituting Eq. (10) in Eq. (2). Then, the length of PQ0 can be given by PQ0 ¼ zQ0 ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi ðxQ ÀxPÞ2 þðyQ ÀyPÞ2 þðzQ ÀzPÞ2 q ð11Þ When the chip flow angle is assumed, the chip flow model is constructed by piling up the orthogonal cuttings on the segmented cutting areas. The shear energy on each segmented area is estimated corresponding to the length of the shear plane given by the above procedure. Then, the cutting energy can be estimated as the sum of the friction energy on the rake face and the shear energy on the shear plane. Because the cutting model changes with the chip flow angle, the chip flow angle is determined to minimize the cutting energy consumed in the chip flow model. Finally, the cutting force can be predicted in the chip flow model at the minimum cutting energy. 3. Case study 3.1. Traverse cutting with repeating pick feed The presented model was verified for traverse cutting, where peripheral cutting was repeated with the pick feed as shown in Fig. 3(a). The workpiece shape to be machined changes with the pick feed in the operation. The tool geometry and the cutting conditions are shown in Table 1. The orthogonal cutting models were determined by the following equation corresponding to Eq. (1) for a combination of 0.45% carbon steel and carbide tool: f ¼ expð0:01022V þ28671:2t1 þ0:07482aÀ0:48355Þ ts ¼ expðÀ0:44485VÀ18569:8t1 þ0:62798aþ20:39367Þ b ¼ expð0:73741V þ29600:4t1À0:78319aÀ0:93674Þ 9 >>= >>; ð12Þ Fig. 3(b) shows the initial position of the ball end mill in the Y–Z plane. The distance between the end face of workpiece and the center of the cutter is 7.5 mm. The pick feed given by the radial depth of cut is 5 mm. The end shape of the workpiece in the nth path operation is mathematically expressed by ðyþpÞ2 þðzÀRÞ2 ¼ R2 ½zZhcŠ yÀfRÀðnþ1Þpg ¼ 0 ½zohcŠ 9 >= >; ð13Þ where p is the pick feed and hc the lowest height of the curved surface machined by the previous cutter path: hc ¼ RÀ ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi 2RðnÀ1ÞpÀðnÀ1Þ2 p2 q ½ðnÀ1ÞprRŠ 0 ½ðnÀ1Þp4RŠ 8 < : ð14Þ The cutting processes are predicted in the first and the second paths. Fig. 4 shows the schematic removal shapes viewed in the feed direction and the height of the cutting area during a rotation Table 1 Cutting conditions. Workpiece 0.45% Carbon steel Spindle speed 985 rpm Tool Ball end mill (insert type) Feed rate 197 mm/min Number of edges 2 Axial depth of cut 2 mm Tool radius 25 mm Lubrication Dry Radial rake angle 0 deg Axial rake angle 01 0.0 0.50 1.0 1.5 2.0 2.5 3.0 0 0.01 0.02 0.03 0.04 0.05 Edge 1 Edge 2 Heightmm Time s 0.0 0.50 1.0 1.5 2.0 2.5 3.0 0 0.01 0.02 0.03 0.04 0.05 Edge 1 Edge 2 Heightmm Time s 0 0.5 1 1.5 2 2.5 3 -4 -2 0 2 4 6 8 Cutting edge Workpiece shape zmm y mm Removed area 0 0.5 1 1.5 2 2.5 3 -4 -2 0 2 4 6 8 Cutting edge Workpiece shape zmm y mm Removed area Fig. 4. Cutting areas during a rotation of cutter. (a)First path. (b) Second path. T. Matsumura, E. Usui / International Journal of Machine Tools & Manufacture 50 (2010) 467–473470
  • 5. ARTICLE IN PRESS of the cutter. The cutting edge is divided into 16 discrete segments and the time division is 64 in a rotation. Compared with the removal area in the first path, the removal area in the second path enlarges. Then, the upper cutting area in the second path reduces in the latter of the cutting period of an edge due to the workpiece shape machined in the first path. Fig. 5 shows the predicted and measured cutting forces. The predicted cutting forces can be verified in comparison with the measured cutting forces. The cutting force in the second path changes with the workpiece shape machined by the previous path. Fig. 6(a) shows the shear plane length and the uncut chip thickness during a rotation of the cutter in the second path. The shear plane length changes with uncut chip thickness. Fig. 6(b) shows the chip flow angle (Zc+Z0) in Fig. 2, which is the wedge angle between the chip flow direction and the projected axial direction onto the rake face. The chip flow inclines toward the radial direction with increasing chip flow angle when the shear plane length increases with uncut chip thickness. According to Fig. 4(b), the cutting area does not change in a certain period after edge’s penetration into the workpiece. It should be noted that the chip flow angle changes even though the material is removed in the same cutting area. In the presented model, the chip flow angle is controlled not only by the local edge inclination but also by the cutting energy based on the shear plane cutting model. Then, the upper cutting area reduces after the cutting edge removes the workpiece surface machined by the first cutter path. Because the local edge inclination with respect to the radial direc- tion decreases with the height of the cutting position on the ball end mill, the chip flows upward, reducing the upper cutting area. -1000 -500 0 500 1000 -0.01 X measured Y measured Z measured X simulated Y simulated Z simulated CuttingforceN Time s -1000 -500 0 500 1000 -0.01 X measured Y measured Z measured X simulated Y simulated Z simulated CuttingforceN Time s 0.01 0.02 0.03 0.04 0.05 0.060 0 0.01 0.02 0.03 0.04 0.05 0.06 Fig. 5. Cutting forces in peripheral operations with pick feeds. (a) First path. (b) Second path. 0 5 10 15 20 25 30 35 40 -0.01 Edge 1 Edge 2 Chipflowangledeg Time s -0.01 0.00 0.01 0.02 0.03 0.04 0.05 0.06 -0.01 Edge 1, shear plane length Edge 1, uncut chip thickness Edge 2, shear plane length Edge 2, uncut chip thickness Shearplanelengthmm Uncutchipthicknessmm Time s 0 0.01 0.02 0.03 0.04 0.05 0.06 0 0.01 0.02 0.03 0.04 0.05 0.06 Fig. 6. Cutting model and chip flow angle in the second path of peripheral milling. (a) Shear plane length and uncut chip thickness at the center of cutting area. (b) Chip flow angle. -20-1001020 -25 0 25 50 75 100 Y mm Xmm Cutter pathSurface finish line Workpiece Reference position Fig. 7. Cutter path in contour milling. T. Matsumura, E. Usui / International Journal of Machine Tools & Manufacture 50 (2010) 467–473 471
  • 6. ARTICLE IN PRESS 3.2. Contour milling As a more practical application, the cutting process was simulated for contour milling with changing feed direction and the conditions in Table 1. Eq. (12) was employed to make the orthogonal cutting model in the chip flow. Fig. 7 shows the cutter path in the X–Y plane with workpiece. The center of the tool moves along the solid line. The coordinates (x, y) of the cutter path were given by the following harmonic function: y ¼ R 2 sin x 4R p ð15Þ where R is the cutter radius. When the axial depth of cut is 2 mm, the maximum radius of the cutting area is 6.78 mm. The surface is to be finished along the dotted line. The feed direction changes continuously with cutter location. In the force model, the tool is fed in the X direction in the reference coordinate system, as shown in Fig. 1(b). Therefore, the simulation was performed in an equivalent cutting manner as shown in Fig. 8. The end face of the workpiece rotates corresponding to the feed direction. The end face is inclined at the angle y given by the differential coefficient of Eq. (15). Then, the coordinates (x, y) in X–Y–Z are transformed to (xn , yn ) in the coordinate system inclined at the angle y as follows: xà yà # ¼ cosy siny Àsiny cosy x y # ð16Þ Because the end face of workpiece contains the origin of the coordinate system, the plane equation of workpiece can be expressed as xà sinyþyà cosy ¼ 0 ð17Þ Fig. 9 shows the predicted and measured cutting forces at distances of 0, 25 and 50 mm from the reference position designated in Fig. 7. The predicted cutting forces agree with the measured ones. Fig. 10 shows the chip flow angle. The change in the chip flow angle can be reviewed in the simulation as well as the cutting force. 4. Conclusion A force model based on the minimum cutting energy was applied for prediction of the cutting force and the chip flow direction in peripheral milling. Three-dimensional chip flow in Cutter path Surface line to be finished Cutter path Surface line to be finished X Y X* Y* Fig. 8. Cutting process with changing feed direction. (a) Original cutter path. (b) Equivalent manner. -1000 -500 0 500 1000 0 X measured Y measured Z measured X simulated Y simulated Z simulated CuttingforceN Time s -1000 -500 0 500 1000 7.55 X measured Y measured Z measured X simulated Y simulated Z simulated CuttingforceN Time s -1000 -500 0 500 1000 15.22 X measured Y measured Z measured X simulated Y simulated Z simulated CuttingforceN Time s 0.01 0.02 0.03 0.04 0.05 7.56 7.57 7.58 7.59 7.6 7.61 15.23 15.24 15.25 15.26 15.27 15.28 Fig. 9. Cutting forces in contour milling. (a) Cutting position: 0 mm. (b) Cutting position: 25 mm. (c) Cutting position: 50 mm. T. Matsumura, E. Usui / International Journal of Machine Tools Manufacture 50 (2010) 467–473472
  • 7. ARTICLE IN PRESS milling is interpreted as a piling up of orthogonal cuttings in the planes containing the cutting velocities and the chip flow velocities. The chip flow angle is determined to minimize the cutting energy. Then, the cutting force is predicted for the determined chip flow model. The conclusions of this paper are summarized as follows: (1) In peripheral milling, the shear plane to be determined in the cutting model is restricted by the workpiece shape when the cutting edge removes the material near the end face of the workpiece. Then, the shear plane length is analyzed mathematically. The shear energy in the cutting model is estimated as the energy consumed in the restricted shear plane length. As a result, the chip flow model can be made taking into account the change in the shear plane length. (2) The presented model was verified for traverse milling with repeated pick feed and contour milling. The model predicts the cutting force and the chip flow direction well correspond- ing to the workpiece shape to be removed and feed direction. The cutter path and the cutting parameters can be optimized by reviewing the cutting process in simulations based on the presented model. (3) The presented model determines the chip flow angle based on the cutting energy. Therefore, the chip flow angle depends not only on the local edge inclination of the milling tool but also on parameters of the cutting models such as shear plane length. References [1] S. Smith, J. Tlusty, An overview of modeling and simulation of the milling process, Transactions of ASME, Journal of Engineering for Industry 113 (1991) 169–175. [2] K.F. Ehmann, S.G. Kapoor, R.E. DeVor, I. Lazoglu, Machining process modeling: a review, Transactions of ASME, Journal of Manufacturing Science and Engineering 119 (1997) 655–663. [3] F. Koenigsberger, A.J.P. 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Sadeghi, M.A. Elbestawi, An improved process simulation system for ball-end milling of sculptured surfaces, International Journal of Machine Tools and Manufacture 38 (9) (1998) 1089–1107. [14] M. Fontaine, A. Devillez, A. Moufki, D. Dudzinski, Predictive force model for ball-end milling and experimental validation with a wavelike form machin- ing test, International Journal of Machine Tools and Manufacture 46 (3-4) (2006) 367–380. [15] G.M. Kim, P.J. Cho, C.N. Chu, Cutting force prediction of sculptured surface ball-end milling using z-map, International Journal of Machine Tools and Manufacture 40 (2) (2000) 277–291. [16] I. Lazoglu, Sculpture surface machining: a generalized model of ball-end milling force system, International Journal of Machine Tools and Manufacture 43 (5) (2003) 453–462. [17] J. Mackerle, Finite element analysis and simulation of machining: an addendum—a bibliography (1996–2002), International Journal of Machine Tools and Manufacture 43 (2003) 103–114. [18] E. Usui, A. Hirota, M. Masuko, Analytical prediction of three dimensional cutting process—part1: basic cutting model and energy approach, Trans- actions of ASME, Journal of Engineering for Industry 100 (1978) 222–228. [19] T. Matsumura, E. Usui, Predictive cutting force model in complex-shaped end milling based on minimum cutting energy, International Journal of Machine Tools and Manufacture 50 (5) (2010) 458–466. 0 5 10 15 20 25 30 35 40 0 Edge 1 Edge 2 Chipflowangledeg Time s 0 5 10 15 20 25 30 35 40 7.55 Edge 1 Edge 2 Chipflowangledeg Time s 0 5 10 15 20 25 30 35 40 15.22 Edge 1 Edge 2 Chipflowangledeg Time s 0.01 0.02 0.03 0.04 0.05 7.56 7.57 7.58 7.59 7.6 7.61 15.23 15.24 15.25 15.26 15.27 15.28 Fig. 10. Chip flow angles in contour milling. (a) Cutting position: 0 mm. (b) Cutting position: 25 mm. (c) Cutting position: 50 mm. T. Matsumura, E. Usui / International Journal of Machine Tools Manufacture 50 (2010) 467–473 473