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Hybrid molding characteristics of three components of biomass based on SLMD

  • Haiyun SUN Peiyong MA Yongqiang XING Xianjun XING Mingming CHEN
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  • 1. School of Mechanical Engineering, Hefei University of Technology, Hefei, Anhui 230009, China 2. Anhui Huantai Bioenergy Technology Development Co., Ltd., Xuancheng, Anhui 242200, China

Received date: 2018-09-03

  Revised date: 2018-09-30

  Online published: 2019-06-20

Abstract

In order to study the effects of three components of biomass, cellulose, hemicellulose and lignin, on biomass molding characteristics, the simplex lattice mixing design method (SLMD) in the mixing experiment method was used to optimize the mixing of three components of biomass samples with different mixing ratios, the mathematical regression model of biomass compact molding performance index was established, and the mathematical regression model was verified by experiments. The results showed that the correlation coefficient of the regression equation of relaxation density and specific energy consumption was more than 0.9998, biomass forming process was not a simple superposition of a single three component compact forming process, there was a certain interaction between the three components in the process of biomass molding, the higher the content of cellulose, the greater the specific energy consumption and the smaller the relaxation density. The higher the lignin content, the smaller the specific energy consumption, but when the lignin content was too high, the energy consumption had a slight upward trend. The higher the content of hemicellulose, the greater the relaxation density, therefore, in order to make biomass had good molding characteristics, that is, relatively low specific energy consumption and relatively high relaxation density, biomass with less cellulose content and higher hemicellulose and lignin contents should be selected as solid fuel. The experimental verification by using cotton straw, bamboo and corn straw showed that the best biomass species for specific energy consumption prediction was corn stalk, and the best biomass species for relaxation density was bamboo, with relative error of 1.54% and 0.8000%, respectively, and the maximum relative error of the regression model of specific energy consumption and relaxation density was 2.64% and 1.0342%, respectively, which indicated that the model had certain prediction effect on actual biomass.

Cite this article

Haiyun SUN Peiyong MA Yongqiang XING Xianjun XING Mingming CHEN . Hybrid molding characteristics of three components of biomass based on SLMD[J]. The Chinese Journal of Process Engineering, 2019 , 19(3) : 575 -580 . DOI: 10.12034/j.issn.1009-606X.218274

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