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Key factors in the performace of diamond toolsTRANSCRIPT
Diabond 2000, Verona 25/26 September
Key Factors in the Performance of Sintered Diamond Tools for Stone Sawing
L. Risso, M. Pareto, M. Capurro*, L. Gaggero§
Centro Sviluppo MaterialiCorso Perrone 24/aI-16152 GenovaItaly
*DEUIM, University of GenoaP.zale Kennedy, Fiera del Mare, Pad. DI-16127 GenovaItaly
§DIPTERIS, University of GenoaCorso Europa 26I-16132 Genova
Diabond 2000, Verona 25/26 September
STONE
DIAMOND ALLOY
•COMPOSITION
•PETROGRAPHY
•MECHANICAL PROPERTIES
•COMPOSITION
•MICRO-STRUCTURE
•MECHANICALPROPERTIES
•FRIABILITY
•COMPRESSIVESTRENGTH
•STATISTICS
•GANULOMETRYANDMORPHOLOGY
•COLOUR
•INCLUSIONS
•THERMALSTABILITY
•Sawability •Abrasivity
•Retention
•Concentration
PERFORMANCE
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NF
T
PP
NIT
ln
..
Toughness indexToughness index
It is conventionally assumed that N is the number of cycles such that PNF= 0.5PT
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(*) average value of dispersed results
Measure of TI and TTI for Measure of TI and TTI for different materialsdifferent materials
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Crushed grain distribution (mesh)Crushed grain distribution (mesh)
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Friabilty of Diamond Mixtures
0
10
20
30
40
50
60
70
80
90
100
110
120
130
140
150
160
0 0,1 0,2 0,3 0,4 0,5 0,6 0,7 0,8 0,9 1
Fraction
F.I.
of
the
Mix
ture
Fi=10; Fj=20
Fi=10; Fj=30
Fi=10; Fj=40
Fi=10; Fj=50
Fi=10; Fj=60
Fi=10; Fj=70
Fi=10; Fj=80
Fi=10; Fj=90
Fi=10; Fj=100
Fi=10; Fj=110
Fi=10; Fj=120
Fi=10; Fj=130
Fi=10; Fj=140
Fi=10; Fj=150
5.0)5.0()5.0()()( Fj
F
Fi
F
P
Pj
P
Pi
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Geometrical parameters of the Geometrical parameters of the modelmodel
rr
33
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Convergence of Mean Stress and Standard Deviation (SDB 1085)
0
200
400
600
800
1000
1200
1400
0 10 20 30 40 50 60
Number of Data
Me
an
Va
lue
s (
MP
a)
Average of MeanStress
Average ofStand. Dev.
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)(1)( cNf eP
Weibull statisticsWeibull statistics
Where Nc is the mean number of defects responsible for fracture at a stresses
dVnNEV
c )()(
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n() at different Weibull modulus value
0
0,2
0,4
0,6
0,8
1
0 0,2 0,4 0,6 0,8 1
n(
)V0
m=0
m=
100
m
Vn
00
1)(
Weibull statisticsWeibull statistics
Diabond 2000, Verona 25/26 September
Weibull statisticsWeibull statistics
With the hypothesis of uniform defects distribution ((V)) we obtain:
mE
V
V
f eP
00)(1
and therefore
)ln(ln)(1
1lnln
00
mV
V
P mE
f
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Weibull statisticsWeibull statistics
F )(fP
i1ni
n is the number of tests and 1 ii
)ln(
)(1
1lnln
fP
m1
m2
m3
m1=m2>m3
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Wibull Plot on SDB 30/40
y = 1,7718x - 11,842
y = 3,3019x - 23,364
y = 4,1235x - 29,762
y = 3,5792x - 25,24y = 2,4914x - 17,276
-4
-3
-2
-1
0
1
2
4,5 5 5,5 6 6,5 7 7,5 8
Ln()
Ln
(Ln
(1/(
1-p
f)))
1055
1075
1100
1085
1065
Lineare(1055)Lineare(1075)Lineare(1100)Lineare(1085)Lineare(1065)
Weibull statisticsWeibull statistics
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Compression DataCompression Data
Hard Metal Anvils
400
500
600
700
800
900
1000
1100
1200
1300
1400
1055 1065 1075 1085 1100
Diamond class (30/40 mesh)
2000
2500
3000
3500
4000
4500
5000
5500
6000
Mean Strength (N)
Mean Stress (MPa)
Mean Strength on Section (MPa)
Log. (Mean Strength on Section (MPa))
Log. (Mean Strength (N))
Log. (Mean Stress (MPa))
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Weibull Mudulus DistributionWeibull Mudulus Distribution
Hard Metal Anvils
0
0,5
1
1,5
2
2,5
3
3,5
4
4,5
1055 1065 1075 1085 1100
Diamond class (30/40 mesh)
We
ibu
ll M
od
ulu
s
0
0,5
1
1,5
2
2,5
3
3,5
4
4,5
Weibull Modula for Stress
Weibull Modula for Strength on Section
Potenza (Weibull Modula for Strength on Section)
Potenza (Weibull Modula for Stress)
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Effect of Anvil MaterialEffect of Anvil Material
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A
DiamEq4
..
)(PMaxMaxFeret
)(PMinMinFeret
13590450
4
PPPP
AMeanChord
MinFeret
MaxFeretElongation
2)(
4
Perimeter
AyCircularit
P
Geometrical ParametersGeometrical Parameters
A
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Different inclusion morphology in Different inclusion morphology in SDA (B) and SDB (A) diamondsSDA (B) and SDB (A) diamonds
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<100> direction
<111> direction
(100) planes
Typical inclusion distribution in a Typical inclusion distribution in a SDA family diamondSDA family diamond
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Thermal Stability: Combustion Thermal Stability: Combustion TemperatureTemperature
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Hardness of Different Stones With Hardness of Different Stones With Similar CompositionSimilar Composition
Quartz dimension: 0.1-0.2 mm Quartz dimension: 0.2-1.5 mm
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White Finale White Marble (Carrara)
2.5 mm
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Cobalt PropertiesCobalt Properties
Effect of ageing (2 h) on hardness Effect of alloying (1 at.%) on transition
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Mixture PropertiesMixture Properties
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Hardness of a Mixture Co/WC
300
320
340
360
380
400
420
440
0 0,05 0,1 0,15 0,2 0,25 0,3
WC Volume Fraction
HV
30 WC >> 1 micron
WC = 1 micron
WC << i micron
Mixture PropertiesMixture Properties
Co
Co
WC
WC
CoWC H
V
H
V
H
/
1
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Cu/Sn Phase diagramCu/Sn Phase diagram
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Abrasivity Measurement Abrasivity Measurement
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Loss of volumeMarble at 500 rpm
0
0,005
0,01
0,015
0,02
0,025
0,03
0,035
0,04
0,045
0,05
0 20000 40000 60000 80000 100000 120000 140000
meters
Vo
lum
e L
ost
(cm
3 )
Bronze
Bronze+Cobalt
Bronze+cobalt+WCCobalt A
Cobalt B
Cobalt+WC
Abrasivity Measurement Abrasivity Measurement
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Sawability Measurement Sawability Measurement
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0
50
100
150
200
250
300
350
400
0 8 16 24 32 40
Time [h]
We
ar
[m
]
0
1
2
3
4
5
6
7
8
9
10
To
rqu
e [
Nm
]
Wear B3M
Wear B4M
Torqe B3M
Torque B4M
Sawability Measurement Sawability Measurement
Diabond 2000, Verona 25/26 September
We want to acknowledge •De Beers Industrial Diamond Division for providing the samples
•Italian Ministry for University and Research for partial funding
AcknowledgementsAcknowledgements