In the tool orientation planning for five-axis sculptured surface machining, the geometrical constraints are usually considered. Actually, the effect of nongeometrical constraints on tool orientation planning is also important. This paper studied one nongeometrical constraint which was cutting force induced static deflection under different tool orientations, and proposed a cutter deflection model based on that. In the study of the cutting force, the undeformed chip thickness in filleted end milling was modeled by geometrical analysis and coordinate transformation of points at the cutting edge. In study of static flexibility of multi-axis machine, static flexibility of the entire machining system was taken into consideration. The multi-axis machining system was divided into the transmission axes-handle (AH) end and the cutting tool end. The equivalent shank method was developed to calculate the static flexibility of the AH end. In this method, static flexibility anisotropy of the AH end was considered, and the equivalent lengths of the AH end were obtained from calibration experiments. In cutter deflection modeling, force manipulability ellipsoid (FME) was applied to analyze the static flexibility of the AH end in arbitrary directions. Based on the synthetic static flexibility and average cutting force, cutter deflections were derived and estimated through developing program realization. The predicted results were compared with the experimental data obtained by machining 300 M steel curved surface workpiece, and a good agreement was shown, which indicated the effectiveness of the cutter deflection model. Additional experiments of machining flat workpiece were performed, and the relationship of cutter deflections and tool orientations were revealed directly. This work could be further employed to optimize tool orientations for suppressing the surface errors due to cutter deflections and achieving higher machining accuracy.

References

1.
Fard
,
M. J. B.
, and
Feng
,
H. Y.
,
2010
, “
Effective Determination of Feed Direction and Tool Orientation in Five-Axis Flat-End Milling
,”
ASME J. Manuf. Sci. Eng.
,
132
(
6
), p.
061011
.
2.
Yang
,
M. Y.
, and
Choi
,
J. G.
,
1998
, “
A Tool Deflection Compensation System for End Milling Accuracy Improvement
,”
ASME J. Manuf. Sci. Eng.
,
120
(
2
), pp.
222
22
.
3.
Sutherland
,
J. W.
, and
Devor
,
R. E.
,
1986
, “
An Improved Method for Cutting Force and Surface Error Prediction in Flexible End Milling Systems
,”
ASME J. Manuf. Sci. Eng.
,
108
(
4
), pp.
269
279
.
4.
dos Santos
,
R. G.
, and
Coelho
,
R. T.
,
2014
, “
A Contribution to Improve the Accuracy of Chatter Prediction in Machine Tools Using the Stability Lobe Diagram
,”
ASME J. Manuf. Sci. Eng.
,
136
(
2
), p.
021005
.
5.
Zhu
,
R. X.
,
Kapoor
,
S. G.
, and
DeVor
,
R. E.
,
2001
, “
Mechanistic Modeling of the Ball End Milling Process for Multi-Axis Machining of Free-Form Surfaces
,”
ASME J. Manuf. Sci. Eng.
,
123
(
3
), pp.
369
379
.
6.
Fontaine
,
M.
,
Moufki
,
A.
,
Devillez
,
A.
, and
Dudzinski
,
D.
,
2007
, “
Modeling of Cutting Forces in Ball-End Milling With Tool-Surface Inclination Part I: Predictive Force Model and Experimental Validation
,”
J. Mater. Process. Technol.
,
189
(
1–3
), pp.
73
84
.
7.
Tuysuz
,
O.
,
Altintas
,
Y.
, and
Feng
,
H. Y.
,
2013
, “
Prediction of Cutting Forces in Three and Five-Axis Ball-End Milling With Tool Indentation Effect
,”
Int. J. Mach. Tools Manuf.
,
66
, pp.
66
81
.
8.
Li
,
Z. L.
, and
Zhu
,
L. M.
,
2014
, “
Envelope Surface Modeling and Tool Path Optimization for Five-Axis Flank Milling Considering Cutter Runout
,”
ASME J. Manuf. Sci. Eng.
,
136
(
4
), p.
041021
.
9.
Venkatachalam
,
S.
,
Fergani
,
O.
,
Li
,
X.
,
Yang
,
J. G.
,
Chiang
,
K. N.
, and
Liang
,
S. Y.
,
2015
, “
Microstructure Effects on Cutting Forces and Flow Stress in Ultra-Precision Machining of Polycrystalline Brittle Materials
,”
ASME J. Manuf. Sci. Eng.
,
137
(
2
), p.
021020
.
10.
Bonnemains
,
T.
,
Chanal
,
H.
,
Bouzgarrou
,
B. C.
, and
Ray
,
P.
,
2009
, “
Stiffness Computation and Identification of Parallel Kinematic Machine Tools
,”
ASME J. Manuf. Sci. Eng.
,
131
(
4
), p.
041013
.
11.
Salgado
,
M. A.
,
López de Lacalle
,
L. N.
,
Lamikiz
,
A.
,
Muñoa
,
J.
, and
Sánchez
,
J. A.
,
2005
, “
Evaluation of the Stiffness Chain on the Deflection of End-Mills Under Cutting Forces
,”
Int. J. Mach. Tools Manuf.
,
45
(
6
), pp.
727
739
.
12.
Peng
,
F. Y.
,
Yan
,
R.
,
Chen
,
W.
,
Yang
,
J. Z.
, and
Li
,
B.
,
2012
, “
Anisotropic Force Ellipsoid Based Multi-Axis Motion Optimization of Machine Tools
,”
Chin. J. Mech. Eng.
,
25
(
5
), pp.
960
967
.
13.
Liang
,
S. Y.
, and
Zheng
,
L.
,
1998
, “
Analysis of End Milling Surface Error Considering Tool Compliance
,”
ASME J. Manuf. Sci. Eng.
,
120
(
1
), pp.
207
210
.
14.
Kim
,
G. M.
,
Kim
,
B. H.
, and
Chu
,
C. N.
,
2003
, “
Estimation of Cutter Deflection and Form Error in Ball-End Milling Processes
,”
Int. J. Mach. Tools Manuf.
,
43
(
9
), pp.
917
924
.
15.
Landon
,
Y.
,
Segonds
,
S.
,
Lascoumes
,
P.
, and
Lagarrigue
,
P.
,
2004
, “
Tool Positioning Error (TPE) Characterisation in Milling
,”
Int. J. Mach. Tools Manuf.
,
44
(
5
), pp.
457
464
.
16.
Dow
,
T. A.
,
Miller
,
E. L.
, and
Garrard
,
K.
,
2004
, “
Tool Force and Deflection Compensation for Small Milling Tools
,”
Precis. Eng.
,
28
(
1
), pp.
31
45
.
17.
Chanal
,
H.
,
Duc
,
E.
, and
Ray
,
P.
,
2006
, “
A Study of the Impact of Machine Tool Structure on Machining Processes
,”
Int. J. Mach. Tools Manuf.
,
46
(
2
), pp.
98
106
.
18.
Dépincé
,
P.
, and
Hascoët
,
J. Y.
,
2006
, “
Active Integration of Tool Deflection Effects in End Milling. Part 1. Prediction of Milled Surfaces
,”
Int. J. Mach. Tools Manuf.
,
46
(
9
), pp.
937
944
.
19.
Wang
,
J. J.
,
Zhang
,
H.
, and
Fuhlbrigge
,
T.
,
2009
, “
Improving Machining Accuracy With Robot Deformation Compensation
,”
IEEE/RSJ
International Conference on Intelligent Robots and Systems
, St. Louis, MO, Oct. 10–15, pp.
3826
3831
.
20.
Cho
,
J. H.
, and
Hwang
,
S. M.
,
2014
, “
A New Model for the Prediction of Roll Deformation in a 20-High Sendzimir Mill
,”
ASME J. Manuf. Sci. Eng.
,
136
(
1
), p.
011004
.
21.
Rodríguez
,
P.
, and
Labarga
,
J. E.
,
2014
, “
Tool Deflection Model for Micromilling Processes
,”
Int. J. Adv. Manuf. Technol.
,
76
(
1–4
), pp.
199
207
.
22.
Childs
,
J. J.
,
1973
,
Numerical Control Part Programming
,
Industrial Press
.
23.
Engin
,
S.
, and
Altintas
,
Y.
,
2001
, “
Mechanics and Dynamics of General Milling Cutters.: Part I: Helical End Mills
,”
Int. J. Mach. Tools Manuf.
,
41
(
15
), pp.
2195
2212
.
24.
Kline
,
W. A.
,
Devor
,
R. E.
, and
Lindberg
,
J. R.
,
1982
, “
The Prediction of Cutting Forces in End Milling With Application to Cornering Cuts
,”
Int. J. Mach. Tool Des. Res.
,
22
(
1
), pp.
7
22
.
25.
Lee
,
P.
, and
Altintas
,
Y.
,
1996
, “
Prediction of Ball-End Milling Forces From Orthogonal Cutting Data
,”
Int. J. Mach. Tools Manuf.
,
36
(
9
), pp.
1059
1072
.
26.
Chiacchio
,
P.
,
Chiaverini
,
S.
,
Sciavicco
,
L.
, and
Siciliano
,
B.
,
1991
, “
Global Task Space Manipulability Ellipsoids for Multiple-Arm Systems
,”
IEEE Trans. Rob. Autom.
,
7
(
5
), pp.
678
685
.
You do not currently have access to this content.