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Identifying a Loss-in-Weight Feeder Design Space Based on Performance and Material Properties

  • Tianyi Li
  • James V. ScicoloneEmail author
  • Eric Sanchez
  • Fernando J. Muzzio
Original Article
  • 90 Downloads

Abstract

Purpose

Powder properties, such as density and adhesion, can cause large variability in the flow rate of ingredients fed from feeders, which can propagate through the system. Knowing an ideal range of operation and correlating powder properties to process performance can result in faster optimization of performance, which saves time and money.

Method

A K-Tron KT-20 pharmaceutical loss-in-weight feeder was evaluated with multiple screw types, feed rates, and materials. The material was dispensed onto a catch scale, recording mass versus time, and analyzed for relative standard deviation and deviation from the setpoint. The materials used in this work were characterized by particle size, packing, and flow properties.

Results

Linear relationships between the feeder’s throughput capacity and material bulk density were identified for four different types of screws. Analyzing the feeder data resulted in a region where the RSD was at a minimum across a range of screw speeds. This was identified between 20–90% screw speed for coarse concave, fine concave, and coarse auger screws and 40–90% screw speed for fine auger screws.

Conclusion

An optimal range of operation for K-Tron KT20 feeders was identified, as well as a linear correlation between material conditioned bulk density and maximum throughput for a given material and screw type. Using both the predictable maximum throughput and the optimal screw range, an optimal design space has been identified that will save development time and money.

Keywords

Loss-in-weight feeders Continuous manufacturing Powder characterization Process development 

Notes

Acknowledgements

The authors would like to thank Nikita Soni, Glinka Pereira, Kien Chau, Lan Le, and Nikhita Shetty for the assistance in this work.

Funding Information

The research was financially supported by the Janssen Ortho LLC.

References

  1. 1.
    Wilson DH, Bullivant K W, Loss-in-weight gravimetric feeder. Google Patents: 1986.Google Scholar
  2. 2.
    Hopkins M. Loss in weight feeder systems. Measurement and Control. 2006;39(8):237–40.Google Scholar
  3. 3.
    Weinekötter R, Reh L. Continuous mixing of fine particles. Part Part Syst Charact. 1995;12(1):46–53.Google Scholar
  4. 4.
    Engisch W, Ierapetritou M, Muzzio F. Hopper refill of loss-in-weight feeding equipment. Salt Lake City, UT, USA: Proceedings of the 2010 AIChE Annual Meeting; 2010.Google Scholar
  5. 5.
    Plumb K. Continuous processing in the pharmaceutical industry: changing the mindset. Chem Eng Res Des. 2005;83(6):730–8.Google Scholar
  6. 6.
    Schaber SD, Gerogiorgis DI, Ramachandran R, Evans JM, Barton PI, Trout BL. Economic analysis of integrated continuous and batch pharmaceutical manufacturing: a case study. Ind Eng Chem Res. 2011;50(17):10083–92.Google Scholar
  7. 7.
    Leuenberger H. New trends in the production of pharmaceutical granules: batch versus continuous processing. Eur J Pharm Biopharm. 2001;52(3):289–96.Google Scholar
  8. 8.
    Roberge DM, Zimmermann B, Rainone F, Gottsponer M, Eyholzer M, Kockmann N. Microreactor technology and continuous processes in the fine chemical and pharmaceutical industry: is the revolution underway? Org Process Res Dev. 2008;12(5):905–10.Google Scholar
  9. 9.
    Editors PT, FDA approves tablet production on Janssen continuous manufacturing line. PharmTech.com 2016. Accessed 8 April 2016.
  10. 10.
    Food Administration D. Guidance for industry PAT—a framework for innovative pharmaceutical development, manufacturing, and quality assurance. Rockville, MD: DHHS; 2004.Google Scholar
  11. 11.
    Lawrence XY. Pharmaceutical quality by design: product and process development, understanding, and control. Pharm Res. 2008;25(4):781–91.Google Scholar
  12. 12.
    Rathore AS. Roadmap for implementation of quality by design (QbD) for biotechnology products. Trends Biotechnol. 2009;27(9):546–53.Google Scholar
  13. 13.
    Urquhart L. Regulatory watch: FDA new drug approvals in Q1 2018. Nat Publ Group. 2018;17(5):309.Google Scholar
  14. 14.
    Lee S. Current FDA perspective for continuous manufacturing. Cambridge, Vereinigte Staaten von Amerika: 2nd International Symposium on Continuous Manufacturing of Pharmaceuticals; 2016.Google Scholar
  15. 15.
    Walker N, EMA approves continuous manufacture of prezista. Pharma’s Almanac 2017, PAO-M07-17-NI-002.Google Scholar
  16. 16.
    2016 ISPE Continous manufacturing conference summary. 2017.Google Scholar
  17. 17.
    Johnson NR, System for precisely controlling discharge rates of loss-in-weight feeder systems. Google Patents 1992.Google Scholar
  18. 18.
    Aalto P; Björklund J-P, Loss-in-weight feeder control. Google Patents 2002.Google Scholar
  19. 19.
    Kehlenbeck V, Sommer K. Possibilities to improve the short-term dosing constancy of volumetric feeders. Powder Technol. 2003;138(1):51–6.Google Scholar
  20. 20.
    Tardos GI, Lu Q. Precision dosing of powders by vibratory and screw feeders: an experimental study. Adv Powder Technol. 1996;7(1):51–8.Google Scholar
  21. 21.
    Engisch WE, Muzzio FJ. Method for characterization of loss-in-weight feeder equipment. Powder Technol. 2012;228:395–403.Google Scholar
  22. 22.
    Engisch WE, Muzzio FJ. Feedrate deviations caused by hopper refill of loss-in-weight feeders. Powder Technol. 2015;283:389–400.Google Scholar
  23. 23.
    Cordts E, Steckel H. Capabilities and limitations of using powder rheology and permeability to predict dry powder inhaler performance. Eur J Pharm Biopharm. 2012;82(2):417–23.Google Scholar
  24. 24.
    Fu X, Huck D, Makein L, Armstrong B, Willen U, Freeman T. Effect of particle shape and size on flow properties of lactose powders. Particuology. 2012;10(2):203–8.Google Scholar
  25. 25.
    Bharadwaj R, Ketterhagen WR, Hancock BC. Discrete element simulation study of a Freeman powder rheometer. Chem Eng Sci. 2010;65(21):5747–56.Google Scholar
  26. 26.
    Huang Z, Scicolone JV, Gurumuthy L, Davé RN. Flow and bulk density enhancements of pharmaceutical powders using a conical screen mill: a continuous dry coating device. Chem Eng Sci. 2015;125:209–24.Google Scholar
  27. 27.
    Huang Z, Scicolone JV, Han X, Davé RN. Improved blend and tablet properties of fine pharmaceutical powders via dry particle coating. Int J Pharm. 2015;478(2):447–55.Google Scholar
  28. 28.
    Scicolone JV, Metzger M, Koynov S, Anderson K, Takhistov P, Glasser BJ, et al. Effect of liquid addition on the bulk and flow properties of fine and coarse glass beads. AICHE J. 2016;62(3):648–58.Google Scholar
  29. 29.
    Wang Y, Koynov S, Glasser BJ, Muzzio FJ. A method to analyze shear cell data of powders measured under different initial consolidation stresses. Powder Technol. 2016;294:105–12.Google Scholar
  30. 30.
    Freeman R. Measuring the flow properties of consolidated, conditioned and aerated powders—a comparative study using a powder rheometer and a rotational shear cell. Powder Technol. 2007;174(1):25–33.Google Scholar
  31. 31.
    Carson JW, Wilms H. Development of an international standard for shear testing. Powder Technol. 2006;167(1):1–9.Google Scholar
  32. 32.
    Peschl I. New rotational shear-testing technique. J Powder Bulk Solids Technol. 1977;1(3):55.Google Scholar
  33. 33.
    Schwedes J, Schulze D. Measurement of flow properties of bulk solids. Powder Technol. 1990;61(1):59–68.Google Scholar
  34. 34.
    Schmitt R, Feise H. Influence of tester geometry, speed and procedure on the results from a ring shear tester. Part Part Syst Charact: Measurement and Description of Particle Properties and Behavior in Powders and Other Disperse Systems. 2004;21(5):403–10.Google Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Chemical and Biochemical EngineeringRutgers, The State University of New JerseyPiscatawayUSA
  2. 2.Advanced Technologies Center of Excellence, Janssen Supply ChainGuraboUSA

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