Development and evaluations of an approach with full utilization of point cloud for measuring the angle of repose

Wu, Zhengyang; Li, Hongwen; Lu, Caiyun; He, Jin; Wang, Qingjie; Liu, Di; Cui, Dandan; Li, Rongrong; Wang, Quanyu; Dong, He

doi:10.1016/j.compag.2023.107799

Cited by 3 publications

(1 citation statement)

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“…It is one of the simplest methods for assessing powder fluidity. With advancements in computer science and image processing technology, the precision of the AoR measurement has gradually improved (Ferreira et al., 2021; Klanfar et al., 2021; Müller et al., 2021; Tan et al., 2021; Wu et al., 2023). A smaller AoR indicates lower interparticle friction and better fluidity.…”

Section: Introductionmentioning

confidence: 99%

Parameter calibration of discrete element model for gluten densification molding

Ben,

Sun,

Bai

et al. 2024

Journal of Food Science

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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.

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