Specific material removal rate (MRR) q was calculated for five-axis grinding in a virtual machining simulation environment (VMSE). The axis-symmetric tool rotational profile was arc-length parameterized. The twisted grazing curve due to the concurrent translation and rotation in every move was modeled through an exact velocity field and areal MRR density q, positive in the front of the grazing curve on the tool surface. Variation of q and equivalent chip thickness h within the instantaneous engagement contour were deduced from q. Illustrative results with a five-axis impeller blade finishing simulation are shown. The results were benchmarked against an average q calculated from the instantaneous MRR from the VMSE. As a function of time, maximum chip thickness hmax within the extents of contact along the tool profile in every move showed more isolated peaks than corresponding qmax. Maximum cumulative material removed per unit length Qmax along the tool profile from all the moves was calculated to predict axial location of maximum risk of cutter degradation.  Qmax and hmax are useful metrics for tool path diagnosis and tool wear analysis.

References

1.
Kountanya
,
R.
,
Guo
,
C.
, and
Viens
,
D.
,
2017
, “
Time-averaged and Instantaneous Mechanistic Models Using Artificial Force Synthesis in Helical End Milling
,”
Procedia Manuf.
,
10
, pp. 737–749.
2.
Sui
,
J.
,
Kountanya
,
R.
, and
Guo
,
C.
,
2016
, “
Development of a Mechanistic Force Model for CNC Drilling Process Simulation
,”
Procedia Manuf.
,
5
, pp.
787
797
.
3.
Chen
,
X.
, and
Rowe
,
W. B.
,
1996
, “
Analysis and Simulation of the Grinding Process—Part I: Generation of the Grinding Wheel Surface
,”
Int. J. Mach. Tools Manuf.
,
36
(
8
), pp.
871
882
.
4.
Sinha
,
M. K.
,
Setti
,
D.
,
Ghosh
,
S.
, and
Rao
,
V. P.
,
2016
, “
An Investigation on Surface Burn During Grinding of Inconel 718
,”
J. Manuf. Process.
,
21
, pp.
124
133
.
5.
Chryssolouris
,
G.
,
Tsirbas
,
K.
, and
Salonitis
,
K.
,
2005
, “
An Analytical, Numerical, and Experimental Approach to Grind Hardening
,”
J. Manuf. Process.
,
7
(
1
), pp.
1
9
.
6.
Salonitis
,
K.
,
Chondros
,
T.
, and
Chryssolouris
,
G.
,
2008
, “
Grinding Wheel Effect in the Grind-Hardening Process
,”
Int. J. Adv. Manuf. Technol.
,
38
(
1
), pp.
48
58
.
7.
Aspinwall
,
D. K.
,
Soo
,
S. L.
,
Curtis
,
D. T.
, and
Mantle
,
A. L.
,
2007
, “
Profiled Superabrasive Grinding Wheels for the Machining of a Nickel Based Superalloy
,”
Ann. CIRP
,
56
(
1
), pp.
335
338
.
8.
Denkena
,
B.
,
Turger
,
A.
,
Behrens
,
L.
, and
Krawczyk
,
T.
,
2012
, “
Five-Axis-Grinding With Toric Tools: A Status Review
,”
ASME J. Manuf. Sci. Eng.
,
134
(
5
), p.
054001
.
9.
CGTech
,
2017
, “Vericut,” CGTech, Inc., Irviine, CA, accessed Oct. 2, 2017, http://www.cgtech.com/
10.
Kountanya
,
R.
, and
Guo
,
C.
,
2016
, “
A New Uncut Chip Thickness Model for Tilted Helical End Mills Through Direct Correspondence With Local Oblique Cutting Geometry
,”
Procedia Manuf.
,
5
, pp.
386
398
.
11.
Mann
,
S.
, and
Bedi
,
S.
,
2002
, “
Generalization of the Imprint Method to General Surfaces of Revolution for NC Machining
,”
Comput. Aided Des.
,
34
(
5
), pp.
373
378
.
12.
Malkin
,
S.
, and
Guo
,
C.
,
2008
,
Grinding Technology
,
Industrial Press
,
New York
.
13.
Kountanya
,
R.
,
2016
, “
Boundary and Hole Detection
,” Wolfram Research, Champaign, IL, accessed Oct. 2, 2017, http://demonstrations.wolfram.com/BoundaryAndHoleDetection/
14.
Mann
,
S.
,
Bedi
,
S.
,
Israeli
,
G.
, and
Zhou
,
X.
,
2010
, “
Machine Models and Tool Motions for Simulating Five-Axis Machining
,”
Comput. Aided Des.
,
42
(
3
), pp.
231
237
.
15.
Finaro
,
E.
,
2013
, “Turbomachinery Milling With NX CAM Part 1, Setup,” Siemens, Munich, Germany, accessed Oct. 2, 2017, https://community.plm.automation.siemens.com/t5/Tech-Tips-Knowledge-Base-NX-Manufacturing/Turbomachinery-Milling-with-NX-CAM-Part-1-Setup/ta-p/2361
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