Obtaining accurate baseline force data is often the critical step in applying machining simulation codes. The accuracy of the baseline cutting data determines the accuracy of simulated results. Moreover, the testing effort required to generate suitable data for new materials determines whether simulation provides a cost or time advantage over trial-and-error testing. The efficiency with which baseline data can be collected is limited by the fact that simulation programs do not use standard force or pressure equations, so that multiple sets of tests must be performed to simulate different machining processes for the same tool-workpiece material combination. Furthermore, many force and pressure equations do not include rake angle effects, so that separate tests are also required for different cutter geometries. This paper describes a unified method for simulating cutting forces in different machining processes from a common set of baseline data. In this method, empirical equations for cutting pressures or forces as a function of the cutting speed, uncut chip thickness, and tool normal rake angle are fit to baseline data from end turning, bar turning, or fly milling tests. Forces in specific processes are then calculated from the empirical equations using geometric transformations. This approach is shown to accurately predict forces in end turning, bar turning, or fly milling tests on five common tool-work material combinations. As an example application, bar turning force data is used to simulate the torque and thrust force in a combined drilling and reaming process. Extrapolation errors and corrections for workpiece hardness variations are also discussed.

1.
Brown
R. H.
, and
Armarego
E. J. A.
,
1964
, “
Oblique Machining with a Single Cutting Edge
,”
Int. J. Mach. Tool Des. Res.
, Vol.
4
, pp.
9
25
.
2.
Chandrasekharan, V., Kapoor, S. G., and DeVor, R. E., 1993, “A Mechanistic Approach to Predicting Cutting Forces in Drilling: With Application to Fiber-Reinforced Composite Materials,” Machining of Advanced Composites, ASME MD Vol. 45/PED Vol. 66, pp. 33–51.
3.
Cook, N. H., 1966, Manufacturing Analysis, Addison-Wesley, Reading, MA, 73.
4.
Endres, W. J., Devor, R. E., and Kapoor, S. G., 1993, “A Dual-Mechanism Approach to the Prediction of Machining Forces: Part 1—Model Development and Calibration,” Manufacturing Science and Engineering, ASME PED Vol. 64, pp. 563–576.
5.
Fu
H. J.
,
DeVor
R. E.
, and
Kapoor
S. J.
,
1984
, “
A Mechanistic Model for the Prediction of the Force System in Face Milling Operations
,”
ASME Journal of Engineering for Industry
, Vol.
106
, pp.
81
88
.
6.
Gu
F.-M.
,
Kapoor
S. G.
,
DeVor
R. E.
, and
Bandyopadhyay
P.
,
1991
, “
An Approach to On-Line Cutter Runout Estimation in Face Milling
,”
Trans. NAMRI/SME
, Vol.
19
, pp.
240
247
.
7.
Gu
F.-M.
,
Kapoor
S. G.
,
DeVor
R. E.
, and
Bandyopadhyay
P.
,
1992
, “
A Cutting Force Model for Face Milling with a Step Cutter
,”
Trans. NAMRI/SME
, Vol.
20
, pp.
361
367
.
8.
Kim
H. S.
, and
Ehmann
K. F.
,
1993
, “
A Cutting Force Model for Face Milling Operations
,”
Int. J. Machine Tools Manufac.
, Vol.
33
, pp.
651
673
.
9.
Kline
W. A.
,
DeVor
R. E.
, and
Lindberg
J. R.
,
1982
, “
The Prediction of Cutting Forces in End Milling with Application to Cornering Cut
,”
Int. J. MTDR
, Vol.
22
, pp.
7
22
.
10.
Kuhl, M. J., 1987, “The Prediction of Cutting Forces and Surface Accuracy for the Turning Process,” M.S. thesis, Mechanical Engineering, University of Illinois.
11.
Montgomery
D.
, and
Altintas
Y.
,
1991
, “
Mechanism of Cutting Force and Surface Generation in Dynamic Milling
,”
ASME Journal of Engineering for Industry
, Vol.
113
, pp.
160
168
.
12.
Smith
S.
, and
Tlusty
J.
,
1991
, “
An Overview of the Modeling and Simulation of the Milling Process
,”
ASME Journal of Engineering for Industry
, Vol.
113
, pp.
169
175
.
13.
Spaans, C, 1970, “A Systematic Approach to Three-Dimensional Chip-Curl, Chip-Breaking, and Chip-Control,” SME Technical Paper MR 70-241.
14.
Spence
A. D.
, and
Altintas
Y.
,
1994
, “
A Solid Modeller Based Milling Simulation and Process Planning System
,”
ASME, Journal of Engineering for Industry
, Vol.
116
, pp.
61
69
.
15.
Stabler
G. V.
,
1951
, “
The Fundamental Geometry of Cutting Tools
,”
Proc. Inst. Mech. Eng.
, Vol.
165
, p.
14
14
.
16.
Stephenson
D. A.
,
1989
, “
Material Characterization for Metal Cutting Force Modeling
,”
ASME JOURNAL OF ENGINEERING MATERIALS AND TECHNOLOGY
, Vol.
111
, pp.
210
219
.
17.
Stephenson
D. A.
,
1991
, “
Assessment of Steady State Metal Cutting Temperature Models Based on Simultaneous Infrared and Thermocouple Data
,”
ASME Journal of Engineering for Industry
, Vol.
113
, pp.
121
128
.
18.
Stephenson
D. A.
, and
Agapiou
J. S.
,
1992
, “
Calculation of Main Cutting Edge Forces and Torque for Drills with Arbitrary Point Geometries
,”
Int. J. Machine Tools Manufac.
, Vol.
32
, pp.
521
538
.
19.
Stephenson
D. A.
, and
Matthews
J. W.
,
1993
, “
Cutting Forces When Turning and Milling Cast Iron with Silicon Nitride Tools
,”
Trans. NAMRI/SME
, Vol.
21
, pp.
223
230
.
20.
Stephenson, D. A., and Bandyopadhyay, P., 1995, “Process Independent Force Characterization for Machining Simulation,” Concurrent Product and Process Engineering, ASME MED Vol. 1/DE Vol. 18, ASME, New York, pp. 15–36.
21.
Subramani
G.
,
Kapoor
S. G.
, and
DeVor
R. E.
,
1993
, “
A Model for the Prediction of Bore Cylindricity During Machining
,”
ASME Journal of Engineering for Industry
, Vol.
115
, pp.
15
22
.
22.
Sutherland
J. W.
,
Subramani
G.
,
Kuhl
M. J.
,
DeVor
R. E.
, and
Kapoor
S. G.
,
1988
, “
An Investigation into the Effect of Tool and Cut Geometry on Cutting Force System Prediction Models
,”
Proc. NAMRC
, Vol.
16
, pp.
264
272
.
23.
Yang
M.
, and
Park
H.
,
1991
, “
The Prediction of Cutting Force in Ball-End Milling
,”
Int. J. Machine Tools Manufac.
, Vol.
31
, pp.
45
54
.
24.
Zhang
G. M.
, and
Kapoor
S. G.
,
1987
, “
Dynamic Modeling and Analysis of the Boring Machining System
,”
ASME Journal of Engineering for Industry
, Vol.
109
, pp.
169
175
.
This content is only available via PDF.
You do not currently have access to this content.