4.6 Article

Optimization Issues of a Hammer Mill Working Process Using Statistical Modelling

期刊

SUSTAINABILITY
卷 13, 期 2, 页码 -

出版社

MDPI
DOI: 10.3390/su13020973

关键词

energetic crop biomass; size reduction; hammers mill; energy consumption; process optimization

资金

  1. Sectoral Operational Programme Human Resources Development 2007-2013 of the Ministry of European Funds [POS-DRU/159/1.5/S/137070]
  2. European Social Fund from the Sectoral Operational Programme Human Capital 2014-2020 [51680/09.07.2019, 124539]

向作者/读者索取更多资源

Our study focuses on the energy optimization problem of hammer mill working process for milling energetic biomass, considering various parameters to reduce specific energy consumption. The results obtained can serve as the basis for future hammer mill design and optimization.
Our paper presents the hammer mill working process optimization problem destined for milling energetic biomass (Miscanthus Giganteus and Salix Viminalis). For the study, functional and constructive parameters of the hammer mill were taken into consideration in order to reduce the specific energy consumption. The energy consumption dependency on the mill rotor spinning frequency and on the sieve orifices in use, as well as on the material feeding flow, in correlation with the vegetal biomass milling degree was the focus of the analysis. For obtaining this the hammer mill was successively equipped with 4 different types of hammers that grind the energetic biomass, which had a certain humidity content and an initial degree of reduction ratio of the material. In order to start the optimization process of hammer mill working process, 12 parameters were defined. The objective functions which minimize hammer mill energy consumption and maximize the milled material percentage with a certain specific granulation were established. The results obtained can serve as the basis for choosing the optimal working, constructive, and functional parameters of hammer mills in this field, and for a better design of future hammer mills.

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