Literature DB >> 11745144

Discrete particle simulations predicting mixing behavior of solid substrate particles in a rotating drum fermenter.

M A Schutyser1, J T Padding, F J Weber, W J Briels, A Rinzema, R Boom.   

Abstract

A soft-sphere discrete particle model was used to simulate mixing behavior of solid substrate particles in a slow rotating drum for solid-state fermentation. In this approach, forces acting on and subsequent motion of individual particles can be predicted. The (2D) simulations were qualitatively and quantitatively validated by mixing experiments using video and image analysis techniques. It was found that the simulations successfully predicted the mixing progress as a function of the degree of filling and size of the drum. It is shown that only relatively large, straight baffles perpendicular to the drum wall (67% of the drum radius) increase the mixing performance of the rotating drum. Considering the different aspects of mixing dealt with in this work, it is concluded that the soft sphere discrete particle model can serve as a valuable tool for investigating mixing of solid substrate particles. Finally, it is expected that this model may evolve into a potential tool for design and scale-up of mixed solid-state fermenters. Copyright 2001 John Wiley & Sons, Inc.

Mesh:

Year:  2001        PMID: 11745144     DOI: 10.1002/bit.1192

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  3 in total

1.  Cross-flow deep fat frying and its effect on fry quality distribution and mobility.

Authors:  K N van Koerten; M A I Schutyser; D Somsen; R M Boom
Journal:  J Food Sci Technol       Date:  2015-11-04       Impact factor: 2.701

2.  Direct and highly productive conversion of cyanobacteria Arthrospira platensis to ethanol with CaCl2 addition.

Authors:  Shimpei Aikawa; Kentaro Inokuma; Satoshi Wakai; Kengo Sasaki; Chiaki Ogino; Jo-Shu Chang; Tomohisa Hasunuma; Akihiko Kondo
Journal:  Biotechnol Biofuels       Date:  2018-02-27       Impact factor: 6.040

3.  Cohesion-driven mixing and segregation of dry granular media.

Authors:  Ahmed Jarray; Hao Shi; Bert J Scheper; Mehdi Habibi; Stefan Luding
Journal:  Sci Rep       Date:  2019-09-17       Impact factor: 4.379

  3 in total

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