journal article·2026-06Open access

Simulation framework for material property-based pellet formation

Prutha Nagaraja, Shailendra Singh, Laurent Cavin, Thomas Georg Gfroerer, Rou Hua Chua

Abstract

Abstract Plastic additives are used to strengthen the mechanical properties of polymers, improve processing efficiency, and enhance product durability, thereby enabling their use for diverse applications across many chemical industries. These additives are typically produced in powder form, however, the handling and storage of fine powders in industrial environments present significant challenges, making it is necessary to convert them into pellets. The process of pellet formation involves compression of powder under controlled pressure and temperature. Several models have been developed to explain pelletization in various fields including biomass, metals and ceramics production. However, these models have not been applied to plastic additives. Moreover, they do not account for the mechanical properties of raw materials or the transitional phase from powder to the initial compacted state. Our study focuses on developing a simulation framework based on the bulk continuum mechanics, Drucker-Prager Cap (DPC) model, which is a material- and strain-dependent for simulating pellet formation process. Although the DPC model typically requires specialized instrumented dies for radial and axial pressure measurements, we propose a method to extract material parameters from non-instrumented dies, thereby making powder compaction experiments more versatile. Using mechanical properties determined experimentally for raw powders, we modified the strain hardening relations in the DPC formulation to accurately capture the full powder-to-pellet transition. The simulated results aligned with experimental data, validating our framework for pellet formation from powdered plastic additives. Therefore, our findings may help reduce pre-production iterations, improve pellet quality, minimize material waste, and create a safer work environment.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Powder Metallurgy Techniques and Materials · Advanced materials and composites · Iron and Steelmaking Processes

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (53)

Show source-provided references
1. Ambrogi V, Carfagna C, Cerruti P, Marturano V (2017) Additives in Polymers. Modification of Polymer Properties. Elsevier Inc., pp 87–10810.1016/B978-0-323-44353-1.00004-X ↗
2. Zaman M, Saeed-Ul-Hassan S, Sarfraz RM et al (2016) Pellets and Pelletization:Emerging Trends in the pharma industry. Acta Pol Pharm 73:1415–1425
3. Eisele TC, Kawatra SK (2003) A review of binders in iron ore pelletization. Miner Process Extr Metall Rev 24:1–90. https://doi.org/10.1080/0882750030689610.1080/08827500306896 ↗
4. Stelte W, Sanadi AR, Shang L et al (2012) Recent developments in biomass pelletization- a review. Bioresour 7:4451–4490. https://doi.org/10.15376/biores.7.3.4451-449010.15376/biores.7.3.4451-4490 ↗
5. Ghebre-Sellassie I (2022) Pharmaceutical Pelletization Technology. CRC Press10.1201/9781003066231 ↗
6. Nielsen NPK, Gardner DJ, Poulsen T, Felby C (2009) Importance of Temperature, Moisture Content, and Species for the Conversion Process of Wood Residues into Fuel Pellets. 41:414–425
7. Nielsen SK, Mandø M, Rosenørn AB (2020) Review of die design and process parameters in the biomass pelleting process. Powder Technol 364:971–985. https://doi.org/10.1016/j.powtec.2019.10.05110.1016/j.powtec.2019.10.051 ↗
8. Nielsen SK, Mandø M (2020) Experimental and numerical investigation of die designs in biomass pelleting and the effect on layer formation in pellets. Biosyst Eng 198:185–197. https://doi.org/10.1016/j.biosystemseng.2020.08.01010.1016/j.biosystemseng.2020.08.010 ↗
9. Holm JK, Henriksen UB, Wand K et al (2007) Experimental verification of novel pellet model using a single pelleter unit. Energy Fuels 21:2446–2449. https://doi.org/10.1021/ef070156l10.1021/ef070156l ↗
10. Peng F, Xiang R, Fang F, Liu D (2022) Analysis of feed pelleting characteristics based on a single pellet press device. Int J Agric Biol Eng 15:65–70. https://doi.org/10.25165/j.ijabe.20221504.615510.25165/j.ijabe.20221504.6155 ↗
11. Lee HW, Kim SB (2020) Study on the estimation of proper compression ratios for Korean domestic wood species by single pellet press. J Korean Wood Sci Technol 48:450–457. https://doi.org/10.5658/WOOD.2020.48.4.45010.5658/WOOD.2020.48.4.450 ↗
12. Holm JK, Henriksen UB, Hustad JE, Sørensen LH (2006) Toward an understanding of controlling parameters in softwood and hardwood pellets production. Energy Fuels 20:2686–2694. https://doi.org/10.1021/ef050336010.1021/ef0503360 ↗
13. Puig-Arnavat M, Shang L, Sárossy Z et al (2016) From a single pellet press to a bench scale pellet mill - Pelletizing six different biomass feedstocks. Fuel Process Technol 142:27–33. https://doi.org/10.1016/j.fuproc.2015.09.02210.1016/j.fuproc.2015.09.022 ↗
14. Sun W, Wang Y, He H, Sun Y (2023) Compression prediction from single pellet press to industrial production presses. Powder Technol. https://doi.org/10.1016/j.powtec.2023.11871910.1016/j.powtec.2023.118719 ↗
15. Stelte W, Holm JK, Sanadi AR et al (2011) Fuel pellets from biomass: The importance of the pelletizing pressure and its dependency on the processing conditions. Fuel 90:3285–3290. https://doi.org/10.1016/J.FUEL.2011.05.01110.1016/J.FUEL.2011.05.011 ↗
16. Du Hyung C, Nam-Ah K, Kyung-Rok C et al (2010) Material properties and compressibility using Heckel and Kawakita equation with commonly used pharmaceutical excipients. 40:237–244. https://doi.org/10.4333/kps.2010.40.4.23710.4333/kps.2010.40.4.237 ↗
17. Denny PJ (2002) Compaction equations: a comparison of the heckel and kawakita equations. Powder Technol 127:162–172. https://doi.org/10.1016/S0032-5910(02)00111-010.1016/S0032-5910(02)00111-0 ↗
18. Persson AS, Nordström J, Frenning G, Alderborn G (2016) Compression analysis for assessment of pellet plasticity: Identification of reactant pores and comparison between Heckel, Kawakita, and Adams equations. Chem Eng Res Des 110:183–191. https://doi.org/10.1016/j.cherd.2016.01.02810.1016/j.cherd.2016.01.028 ↗
19. Kawakita K, Lüdde K-H (1971) Some considerations on powder compression equations. Powder Technol 4:61–68. https://doi.org/10.1016/0032-5910(71)80001-310.1016/0032-5910(71)80001-3 ↗
20. Sonnergaard JM (1999) A critical evaluation of the Heckel equation. Int J Pharm 193:63–71. https://doi.org/10.1016/S0378-5173(99)00319-110.1016/S0378-5173(99)00319-1 ↗
21. Frenning G, Nordström J, Alderborn G (2009) Effective Kawakita parameters for binary mixtures. Powder Technol 189:270–275. https://doi.org/10.1016/j.powtec.2008.04.01610.1016/j.powtec.2008.04.016 ↗
22. Ilkka J, Paronen P (1993) Prediction of the compression behaviour of powder mixtures by the heckel equation. Int J Pharm 94:181–187. https://doi.org/10.1016/0378-5173(93)90022-810.1016/0378-5173(93)90022-8 ↗
23. Sun W, Sun Y, Wang Y, He H (2024) Prediction of mixture pelleting based on compression parameters. J Food Eng 365:1–8. https://doi.org/10.1016/j.jfoodeng.2023.11182510.1016/j.jfoodeng.2023.111825 ↗
24. Carstensen JT, Geoffroy J-M, Dellamonica C (1990) Compression Characteristics of Binary Mixtures. Powder Technol 62:119–124. https://doi.org/10.1016/0032-5910(90)80074-910.1016/0032-5910(90)80074-9 ↗
25. Lamy P, Brunet L, Erre R, Stempfer B (2003) Modelling Powder Compaction and Mixture Laws. Propellants Explos Pyrotech 28:265–270. https://doi.org/10.1002/prep.20030001510.1002/prep.200300015 ↗
26. Sun W, Wang Y, He H, Sun Y (2023) Analysis of densification mechanisms of feed pelleting. Biosyst Eng 234:92–107. https://doi.org/10.1016/j.biosystemseng.2023.08.01710.1016/j.biosystemseng.2023.08.017 ↗
27. Tao H, Zhong W, Jin B (2014) Flow behavior of non-spherical particle flowing in hopper. Front Energy 8:315–321. https://doi.org/10.1007/s11708-014-0331-910.1007/s11708-014-0331-9 ↗
28. Martin CL, Bouvard D, Delette G (2006) Discrete element simulations of the compaction of aggregated ceramic powders. J Am Ceram Soc 89:3379–3387. https://doi.org/10.1111/j.1551-2916.2006.01249.x10.1111/j.1551-2916.2006.01249.x ↗
29. Garner S, Strong J, Zavaliangos A (2018) Study of the die compaction of powders to high relative densities using the discrete element method. Powder Technol 330:357–370. https://doi.org/10.1016/j.powtec.2018.02.01510.1016/j.powtec.2018.02.015 ↗
30. Martin CL, Bouvard D, Shima S (2003) Study of particle rearrangement during powder compaction by the discrete element method. J Mech Phys Solids 51:667–693. https://doi.org/10.1016/S0022-5096(02)00101-110.1016/S0022-5096(02)00101-1 ↗
31. Martin CL, Bouvard D (2003) Study of the cold compaction of composite powders by the discrete element method. Acta Mater 51:373–386. https://doi.org/10.1016/S1359-6454(02)00402-010.1016/S1359-6454(02)00402-0 ↗
32. Wang Y, Zhang D, Yang L et al (2020) Modeling the interaction of soil and a vibrating subsoiler using the discrete element method. Comput Electron Agric. https://doi.org/10.1016/j.compag.2020.10551810.1016/j.compag.2020.105518 ↗
33. Han LH, Elliott JA, Bentham AC et al (2008) A modified Drucker-Prager Cap model for die compaction simulation of pharmaceutical powders. Int J Solids Struct 45:3088–3106. https://doi.org/10.1016/j.ijsolstr.2008.01.02410.1016/j.ijsolstr.2008.01.024 ↗
34. Zhou M, Huang S, Hu J et al (2017) A density-dependent modified Drucker-Prager Cap model for die compaction of Ag57.6-Cu22.4-Sn10-In10 mixed metal powders. Powder Technol 305:183–196. https://doi.org/10.1016/j.powtec.2016.09.06110.1016/j.powtec.2016.09.061 ↗
35. Garner S, Strong J, Zavaliangos A (2015) The extrapolation of the Drucker-Prager/Cap material parameters to low and high relative densities. Powder Technol 283:210–226. https://doi.org/10.1016/j.powtec.2015.05.02710.1016/j.powtec.2015.05.027 ↗
36. Michrafy A, Ringenbacher D, Tchoreloff P (2002) Modelling the compaction behaviour of powders: application to pharmaceutical powders. Powder Technol 127:257–266. https://doi.org/10.1016/S0032-5910(02)00119-510.1016/S0032-5910(02)00119-5 ↗
37. Cunningham JC, Sinka IC, Zavaliangos A (2004) Analysis of tablet compaction. Part I. Characterization of mechanical behavior of powder and powder/tooling friction. J Pharm Sci 93:2022–2039. https://doi.org/10.1002/JPS.2011010.1002/JPS.20110 ↗
38. Sinka IC, Cunningham JC, Zavaliangos A (2004) Analysis of tablet compaction. Part II. Finite element analysis of density distributions in convex tablets. J Pharm Sci 93:2040–2053. https://doi.org/10.1002/jps.2011110.1002/jps.20111 ↗
39. Wu CY, Ruddy OM, Bentham AC et al (2005) Modelling the mechanical behaviour of pharmaceutical powders during compaction. Powder Technol 152:107–117. https://doi.org/10.1016/j.powtec.2005.01.01010.1016/j.powtec.2005.01.010 ↗
40. Shang C, Sinka IC, Pan J (2012) Constitutive Model Calibration for Powder Compaction Using Instrumented Die Testing. Exp Mech 52:903–916. https://doi.org/10.1007/s11340-011-9542-810.1007/s11340-011-9542-8 ↗
41. Resende L, Martin JB, Asce M (1985) Formulation of Drucker-Prager Cap model. J Eng Mech 111:855–881. https://doi.org/https://doi.org/https://doi.org/10.1061/(ASCE)0733-9399(1985)111:7(855)10.1061/(ASCE)0733 ↗
42. Diarra H, Mazel V, Busignies V, Tchoreloff P (2018) Sensitivity of elastic parameters during the numerical simulation of pharmaceutical die compaction process with Drucker-Prager/Cap model. Powder Technol 332:150–157. https://doi.org/10.1016/J.POWTEC.2018.03.06810.1016/J.POWTEC.2018.03.068 ↗
43. Diarra H, Mazel V, Busignies V, Tchoreloff P (2017) Comparative study between Drucker-Prager/Cap and modified Cam-Clay models for the numerical simulation of die compaction of pharmaceutical powders. Powder Technol 320:530–539. https://doi.org/10.1016/J.POWTEC.2017.07.07710.1016/J.POWTEC.2017.07.077 ↗
44. Cares-Pacheco M-G, Cordeiro-Silva E, Gerardin F, Falk V (2024) Consistency in Young’s modulus of powders: a review with experiments. Powders. https://doi.org/10.3390/powders302001710.3390/powders3020017 ↗
45. Roberts RJ, Rowe RC, York P (1994) The Poisson’s ratio of microcrystalline cellulose. Int J Pharm 105:177–180. https://doi.org/10.1016/0378-5173(94)90463-410.1016/0378-5173(94)90463-4 ↗
46. Storn R, Price K (1997) Differential Evolution - A Simple and Efficient Heuristic for Global Optimization over Continuous Spaces. J Global Optim 11:341–359. https://doi.org/10.1023/A:1008202821328/METRICS10.1023/A:1008202821328/METRICS ↗
47. (2024) COMSOL Multiphysics® v. 6.2
48. Yi H, Pandeya A, Karamchandani A, Puri VM (2018) Critical Review on Engineering Mechanical Quality of Green Compacts using Powder Properties. Kona Powder Part J 35:32–48. https://doi.org/10.14356/KONA.201800610.14356/KONA.2018006 ↗
49. Michrafy A, Kadiri MS, Dodds JA (2003) Wall Friction and its Effects on the Density Distribution in the Compaction of Pharmaceutical Excipients. Chem Eng Res Des 81:946–952. https://doi.org/10.1205/02638760332248218510.1205/026387603322482185 ↗
50. Sinka IC, Cunningham JC, Zavaliangos A (2003) The effect of wall friction in the compaction of pharmaceutical tablets with curved faces: a validation study of the Drucker–Prager Cap model. Powder Technol 133:33–43. https://doi.org/10.1016/S0032-5910(03)00094-910.1016/S0032-5910(03)00094-9 ↗
51. Michrafy A, Dodds JA, Kadiri MS (2004) Wall friction in the compaction of pharmaceutical powders: measurement and effect on the density distribution. Powder Technol 148:53–55. https://doi.org/10.1016/J.POWTEC.2004.09.02110.1016/J.POWTEC.2004.09.021 ↗
52. LaMarche K, Buckley D, Hartley R et al (2014) Assessing materials’ tablet compaction properties using the Drucker–Prager Cap model. Powder Technol 267:208–220. https://doi.org/10.1016/J.POWTEC.2014.06.05010.1016/J.POWTEC.2014.06.050 ↗
53. Box GEP, Meyer RD (1986) An Analysis for Unreplicated Fractional Factorials. Technometrics 28:11. https://doi.org/10.2307/126959910.2307/1269599 ↗