cap evolution parameters

1
Cap evolution parameters where, Cap eccentricity parameter Young’s modulus (E) & Poisson’s ration (v) Die Compression test Die Compression test Optimization and design modeling for continuous roll compaction granulation Presenter: Shrikant Swaminathan Participants: Shrikant Swaminathan, Simseok A. Yuk, Petrus Geldenhuis, Ariel R. Muliadi, Carl Wassgren, Jim Litster I. Motivations and Scientific Goals Motivations Bulk powder behavior during compaction in our FEM model is described using porous- plasticity model (Drucker-Prager Cap model). Literature data for DPC parameters of pharmaceutical blends are insubstantial. Project goals Develop an experimentally-validated 3D computational model for predicting the roll compaction process. Understand the separate and combined influence of formulation and device design on process outputs. Model-driven engineering to evaluate modifications to existing roll compactor geometry for improving homogeneity of ribbons. • Develop accurate lower order models for first stage design and control purposes. II. Experimental Setup III. Powder properties derivations a) Diametrical compression (compact breaking) test b) Uniaxial compression (compact breaking) test a) b) c) Die Compression test c) S S diametrical compression test Cohesion Internal friction angle σ T Die Compression test σ rad Die Compressio n test V. Results Highlights Material – Avicel PH 102, PH 101, PH 200 Punch Speed 5mm/min for loading and unloading with no dwell time. All powder properties qualitatively match the trend of Cunningham et al.’s data and the trend of Han et al.’s data. The compression properties of MCC is insensitive to VI. Future Work Understand the influence of punch speed on Drucker-Prager Cap properties on powder compaction Measure the Drucker-Prager Cap powder properties for common pharmaceutical blends. Develop computational model for predicting stress distribution at roll entry region. IV. Experimental Setup S S Load cell on upper punch Load cell on lower punch Pressure sensor on die The Compaction simulator is mounted on a MTS 810 universal testing machine. The axial stress is measured using the load cells mounted on the upper and lower punch. The radial stress is measured by the pressure sensor. The stress is measured by direct contact with the powder 1 2 3 T rad p 1 2 T rad q tan b a a p p Rd p 2 f P Dt 13 2 2 c f c T d 3 tan c c d

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Optimization and design modeling for continuous roll compaction granulation Presenter: Shrikant Swaminathan Participants : Shrikant Swaminathan, Simseok A. Yuk, Petrus Geldenhuis , Ariel R. Muliadi , Carl Wassgren , Jim Litster. II. Experimental Setup. III. Powder properties derivations. - PowerPoint PPT Presentation

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Page 1: Cap evolution parameters

Cap evolution parameters

1 23 T radp where, 1

2 T radq

tanb a ap p R d p

Cap eccentricity parameter

Young’s modulus (E) & Poisson’s ration (v)

Die Compression

test

Die Compression

test

Optimization and design modeling for continuous roll compaction granulation Presenter: Shrikant SwaminathanParticipants: Shrikant Swaminathan, Simseok A. Yuk, Petrus Geldenhuis, Ariel R. Muliadi, Carl Wassgren, Jim Litster

I. Motivations and Scientific GoalsMotivations • Bulk powder behavior during compaction in our

FEM model is described using porous-plasticity model (Drucker-Prager Cap model).

• Literature data for DPC parameters of pharmaceutical blends are insubstantial.

Project goals• Develop an experimentally-validated 3D

computational model for predicting the roll compaction process.

• Understand the separate and combined influence of formulation and device design on process outputs.

• Model-driven engineering to evaluate modifications to existing roll compactor geometry for improving homogeneity of ribbons.

• Develop accurate lower order models for first stage design and control purposes.

II. Experimental Setup III. Powder properties derivationsa) Diametrical compression

(compact breaking) test

b) Uniaxial compression (compact breaking) test

a)

b)

c) Die Compression test

c) S

S

diametrical compression

test

2f

PDt

13 2

2c f

c T

d

Cohesion 3

tan c

c

d

Internal friction angle

σTDie Compression

test

σradDie Compression

test

V. Results Highlights

• Material – Avicel PH 102, PH 101, PH 200• Punch Speed 5mm/min for loading and unloading with no dwell time.• All powder properties qualitatively match the trend of Cunningham et

al.’s data and the trend of Han et al.’s data. • The compression properties of MCC is insensitive to particle size.

VI. Future Work• Understand the influence of punch speed on

Drucker-Prager Cap properties on powder compaction

• Measure the Drucker-Prager Cap powder properties for common pharmaceutical blends.

• Develop computational model for predicting stress distribution at roll entry region.

IV. Experimental Setup

S

S

Load cell on upper punch

Load cell on lower punch

Pressure sensor on die

• The Compaction simulator is mounted on a MTS 810 universal testing machine.

• The axial stress is measured using the load cells mounted on the upper and lower punch.

• The radial stress is measured by the pressure sensor. The stress is measured by direct contact with the powder