1 / 1

Cap evolution parameters

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.

odina
Download Presentation

Cap evolution parameters

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Optimization and design modeling for continuous roll compaction granulationPresenter: Shrikant SwaminathanParticipants: Shrikant Swaminathan, SimseokA. Yuk, PetrusGeldenhuis, Ariel R. Muliadi, Carl Wassgren, Jim Litster II. Experimental Setup III. Powder properties derivations I. Motivations and Scientific Goals a) Diametrical compression (compact breaking) test b) Uniaxial compression (compact breaking) test • 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-validated3D 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. diametrical compression test c) Die Compression test Cohesion Internal friction angle b) S c) S a) IV. Experimental Setup σrad σT Die Compression test Die Compression test V. Results Highlights Pressure sensor on die Load cell on upper punch S Cap evolution parameters Load cell on lower punch S • 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 Cap eccentricity parameter where, VI. Future Work Die Compression test Die Compression test • 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. • 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. Young’s modulus (E) & Poisson’s ration (v)

More Related