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Parameter calibration of discrete element model for gluten densification molding.

Authors :
Ben, Zongyou
Sun, Xiao
Bai, Yu
Yang, Duoxing
Chen, Kunjie
Dong, Yan
Source :
Journal of Food Science (John Wiley & Sons, Inc.). Jun2024, Vol. 89 Issue 6, p3700-3712. 13p.
Publication Year :
2024

Abstract

The densified powder material is convenient for storage and transportation, with broad market application prospects. In this study, the discrete element model parameters required for simulating gluten densification were calibrated using the Hertz–Mindlin with JKR contact model. Initially, physical testing techniques were utilized to assess the size distribution, density, and angle of repose (AoR) of gluten particles. Following this, the Plackett–Burman test, the steepest ascent test, and the Box–Behnken test were conducted, and the significant factors were obtained: The coefficient of rolling friction (P–P) was 1.038, the coefficient of static friction (P–P) was 0.071, and the surface energy (P–P) was 0.047. Finally, the AoR and densification simulations were performed under the optimal parameter combination, along with validation tests. The results showed that the relative error between the simulated and tested AoR was 0.52%. The compression ratio and compression force curves of simulated and actual were similar. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00221147
Volume :
89
Issue :
6
Database :
Academic Search Index
Journal :
Journal of Food Science (John Wiley & Sons, Inc.)
Publication Type :
Academic Journal
Accession number :
177842054
Full Text :
https://doi.org/10.1111/1750-3841.17099