tableting & scale up
DESCRIPTION
Changing tableting machines and scale upTRANSCRIPT
Changing Tableting Machines in Scale-Up and Production:
Ramifications for SUPACFDA CDER DPQR Seminar
April 3, 2000
Michael Levin, Ph.D.Metropolitan Computing Corporation (MCC), East Hanover, NJ 07936
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MAKING A TABLET
�Die�Upper punch� Lower punch�Upper compression roll� lower compression roll� Turret
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MAKING A TABLET
UPPERPUNCH
LOWERPUNCH
UPPERPUNCH
LOWERPUNCH
LOWERPUNCH
UPPERPUNCH
LOWERPUNCH
UPPERPUNCH
LOWERPUNCH
Apparent density Tapped density Deformation
Fracture, Plastic Flow Fusion
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TABLETING PROCESS
HARDNESS(bonding)
DISSOLUTION(porosity)
Adapted from K. Marshall (1999a)
COMPACTIONincrease in mechanical strength
(consolidation of particles)
COMPRESSIONreduction in bulk volume
(displacement of gaseous phase)
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COMPRESSION MECHANISMS
YESPARTLYVISCO-ELASTIC(starch)
NONOBRITTLE(emcompress)
YESPARTLYBRITTLE-PLASTIC(lactose)
YESNOPLASTIC(avicel)
NOYESELASTIC(rubber)
TIME DEPENDENTREVERSIBLE
Adapted from K. Marshall (1999a)
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COMPACTIBILITY PROFILE
0
2
4
6
8
0 5 10 15 20Compaction Force (kN)
Har
dnes
s (k
P)
starch
avicellactose
emcompress
Adapted from K. Marshall (1999a)
Page 7
0
20
40
60
80
100
0 5 10 15 20
Compaction Force (kN)
Poro
sity
(%)
COMPRESSIBILITY PROFILE
starch
avicel
lactose
emcompress
Page 8
COMPACTIBILITY PROFILE
0
2
4
6
8
0 1 2 3 4Compaction Force (kN)
Har
dnes
s (k
P) AvicelHigh speed
AvicelLow speed
Page 9
0
20
40
60
80
100
0 1 2 3
Compaction Force (kN)
Poro
sity
(%)
AvicelHigh speed
AvicelLow speed
COMPRESSIBILITY PROFILE
Page 10
0
5
10
15
20
25
30
35
40
0 2 4 6 8 10 12 14 16 18 20 22 24 26
specification
specification
POROSITY, HARDNESS AND DISSOLUTION
Hardness (kP)
t75% Dissolution (min)
Porosity (%)
Adapted from K. Marshall (1999a)
SpeedForce
Page 11
FACTORS IN TABLETING
Press Force Press Speed
Hardness Porosity
Surface Area
Dissolution
Disintegration
Page 12
Report and Recommendation of the USP Advisory Panel on Physical Test Methods: Compactibility Test
K. Marshall (1999b)
USP RECOMMENDATION
�Consolidation (Compactibility)area under hardness – log applied pressure plot
�Compressibilityarea under porosity – log applied pressure plot
�Compaction Rate Sensitivityarea between two compactibility curves plots for two speeds that differ by a factor of 10
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Tableting Equipment
Page 14
Tableting Cycle
Page 15
DIFFERENCES IN TABLET PRESSES
� Mode of die fill (SUPAC IR/MR)� gravity� force feed� centrifugal� compression coating
� Mode of Compression� To constant thickness
› Variations in porosity� To constant force
› Variations in thickness� Effect of Precompression
Page 16
DIFFERENCES IN TABLET PRESSES
� Effect of Speed� Hardness � Porosity � Temperature � Power of compaction � Lamination and capping � Disintegration time � Dissolution time
Page 17
Contact Time and Dwell Time
Forc
e
Dwell Time
Contact Time
Compression Event
Contact Time: when punch head is in contact with the wheelDwell Time: when flat portion of punch head is in contact with the wheel
Page 18
Dwell Time Comparison for Rotary Pressesy
Dwell Time, ms
0 10 20 30 40 50 60 70 80
Kilian T100
Fette PT 2090 IC
Manesty Unipress Diamond
Korsch PH106Riva Piccola
Manesty BetapressMCC Prester
PRODUCTION PRESSES
RESEARCH PRESSES
Korsch PH336Kilian TX40AKikusui Libra2
Hata HT-AP38-SU
MCC Presster
Page 19
DIFFERENCES IN TABLET PRESSES
�Compression Roll Diameter
� Press Deformation Factor
� Tooling Geometry� porosity with tip curvature
� Instrumentation
Page 20
What can be measured on a tablet press?
� Compression
� Precompression
� Ejection
� Speed and turret position
Page 21
Compression Measurement
FORCE SENSOR
die
COMPRESSION ROLL
SERVOMOTOR
WEIGHTADJUSTMENTCAM
TABLETTHICKNESS
ADJUSTMENT
STRAIN GAUGES
Page 22
Compression Transducer
FORCE SENSOR
die
TABLET PRESS SIMULATION
Page 24
Functions:Functions:•• Load Control Load Control •• Position ControlPosition Control
Hydraulic Compaction Simulator
CROSSHEADS
HYDRAULICACTUATOR
COMPRESSIONLOAD CELL
PUNCHES AND DIE
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• Impossible to calculate• Pre-recorded data depends on
(Force vs. Time)
� Press brand, model, tooling� Press force and speed� Formulation� Instrumentation
Load Control ProfileHydraulic Compaction Simulator
Page 26
•Pre-Recorded Data
•Artificial Profiles
•Theoretical Profiles
(Punch Displacement vs. Time)
Position Control ProfileHydraulic Compaction Simulator
Page 27
depends on� Press brand, model, tooling� Press force and speed� Formulation� Instrumentation
Pre-Recorded Position Control Profile
Hydraulic Compaction Simulator
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� Sinusoid, saw-tooth, single-ended, etc.� Useful for basic compaction research� Useful for test standardization� Do not simulate tablet presses
Artificial Position Control Profile
Hydraulic Compaction Simulator
Page 29
Using Rippie & Danielson (1981) equation
� Does not account for flat head� Does not account for punch deformation� Does not account for press deformation� In and out of an empty die
Theoretical Position Control Profile
Hydraulic Compaction Simulator
Page 30
™
PRESS 1 PRESS 2
PRESS 3
Mechanical Compaction SimulatorThe New Generation
Tablet Press Replicator
Page 31
�mimic press geometry�match press speed�match tablet weight�match tablet thickness�match tooling� control speed� control force
The Presster™
Page 32
CASE STUDY
Correlations Between a Hydraulic Compaction Simulator, Instrumented Manesty Betapress and the PressterTM
G. Venkatesh et al., AAPS Meeting, 1999
Page 33
PRODUCT QUALITY RESEARCH
� Data from� Instrumented Press� Compaction Simulator� The Presster
� Physical Tests for Submissions� SUPAC Guidance� Expert Systems� Artificial Neural Networks� Dimensional Analysis
DIMENSIONAL ANALYSIS
Page 35
DIMENSIONAL ANALYSISΠ-theoremEvery physical relationship between n dimensional variables and constants can be reduced to a relationship between m=n-r mutually independent dimensionless groups, where r = number of dimensional units, i.e. rank of the dimensional matrix Buckingham (1914)
Similarity:• Geometric• Kinematic• Dynamic
For any two dynamically similar systems, all the dimensionless numbers necessary to describe the process have the same numerical value (Zlokarnik, 1998)
Page 36
DIMENSIONAL ANALYSIS
Case Study:
WET GRANULATION
Page 37
Page 38
Granulation End Pointand Product Properties
Page 39
Relevance List for wet granulation:
Dimensional analysis and application of the Buckingham theorem indicates that there are 4 dimensionless quantities that adequately describe the process:
Ne (P) = P / (n3 d5) Newton Power NumberRe = . d2 . n / Reynolds NumberFr = d2 . n / g Froude Numberh/d ratio of characteristic lengths
DIMENSIONAL ANALYSIS
d - impeller diameter [L]h - height of granulation bed in the bowlg - gravitational constant [LT-2]η - dynamic viscosity [M L-1 T-1]ρ - specific density of particles [M L-5]n - impeller speed [T-1]P - power consumption [ML2T-5]
Page 40
Gral 300
Gral 150
Gral 75
Gral 25Gral 10
0.00 0.50 1.00 1.50 2.00 2.50 3.00
Froude Numbers for Collete-Gral High-Shear Mixers
Wet Granulation
Page 41
PMA 1800
PMA 800
PMA 600PMA 300
PMA 150
PMA 65
PMA 25
PMA 10
0.00 0.50 1.00 1.50 2.00 2.50 3.00 3.50
Froude Numbers for Fielder High-Shear Mixers
Wet Granulation
Page 42
P1250P1000
P800
P600P400
P250
P100P50
P25
P10
0 0.5 1 1.5 2
Froude Numbers for Diosna High-Shear Mixers
Wet Granulation
Page 43
VG-3000VG-2000VG-1000VG-800VG-600
VG-400VG-200
VG-100VG-50
VG-25VG-10
VG-5VG-1
0.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 8.00
Froude Numbers for Powrex High-Shear Mixers
Wet Granulation
Page 44
VG-600P600
PMA 600VG-200
P250PMA 300
Gral 300VG-50
P50PMA 65
Gral 75VG-10
P10PMA 10
Gral 10
0.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00
Comparative Froude Numbers for High-Shear Mixers
Wet Granulation
Page 45
DIMENSIONAL ANALYSISTableting
1. Geometric factors
d - die diameter [L]
h - tablet thickness [L]
2. Physical propertiesc = ΔV / (Δp V) - compressibility factor [M-1LT2]
where V - volume of the tablet; p - applied pressure
3. Process parametersp - Compression pressure [ML-1T-2]
s - Compression speed [LT-1]
t - Contact time [T]
Page 46
DIMENSIONAL ANALYSIS
Π1 = d / h
Π2 = s • t / h
Π3 = p • c
Target quantity Predictor Equation
hardness h [ML-1T-2] h • c = f(Π1, Π2, Π3)
dissolution time θs [T] θs / t = f(Π1, Π2, Π3)
By Buckingham’s Theorem, the Π set is
These relationships are now awaiting an experimental confirmation on a range of presses and materials. The predictive power of the above
relationships can have a vital role in the future of tableting scale-up.
Page 47
CURRENT SUPAC IR/MR� Changes in batch size
� Level 1 (equipment of same design and operating principles, vary in capacity up to a factor of 10 the size of the pilot batch)
� Level 2 (equipment of same design and operating principles, vary in capacity beyond a factor of 10 the size of the pilot batch)
� Manufacturing Equipment Changes� Level 1 (equipment of same design and operating principles, may vary
in capacity)� Level 2 (equipment of different design and operating principles)
� Manufacturing Process Changes� Level 1 (different operating conditions, such as operating speeds
within original approved application ranges)� Level 2 (different operating conditions, such as operating speeds
outside of original approved application ranges)
Page 48
� Keith Marshall (Keith Marshall Associates)� Gopi Venkatesh (SmithKline Beecham)� Colleen Ruegger (Novartis)� Marko Zlokarnik (Bayer Austria)
Acknowledgements
Page 49
Special thanks to� Neelima Phadnis, Ph. D.
(SmithKline Beecham)for her valuable insight
� Lev Tsygan (MCC)for his contribution to Mixer characterization based on Froude numbers
Acknowledgements