characterization of sawdust of different woods
Clicks: 227
ID: 252764
2016
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Steady Performance
30.0
/100
227 views
18 readers
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #6 of 6 articles by views in zeitschrift fur naturforschung c, journal of biosciences
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
In this paper the results from the physical characterization of several types of sawdust are presented, with the objective of valuing the possibility to use them with energy purposes. From the characterization low percent of humidity average was obtained for the three biomasses (8,544 2 % carob, 7,832 1 % majagua and 9,732 8 % cedar); the volatile compounds and fixed carbon present high values: volatile (83,656 3 % carob, 81,841 9 % majagua and 83,437 8 % cedar) and fixed carbon (15,389 9 % carob, 17,272 7 % majagua and 15,683 0 % cedar) and low percents of ashes (0,797 7 % carob, 0,885 4 % majagua and 0,879 2 % cedar). It was carried out the granulometric analysis of the studied biomasses being obtained the biggest accumulations for particles smaller than 2,5 mm in the case of the carob, for the case of the majagua and the cedar the biggest accumulations are for particles smaller than 8,0 mm. The main diameter of the three samples it is determined being obtained by the method accumulative values of 1,59 mm for the carob, 3,2 mm for the majagua and 4,8 mm for the cedar. With the statistical analysis it is corroborated that the obtained experimental results are correct because there are not significant deviations of the normality.
| Reference Key |
serret-guasch2016tecnologacharacterization
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;Nurian Serret-Guasch;Giselle Giralt-Ortega |
| Journal | zeitschrift fur naturforschung c, journal of biosciences |
| Year | 2016 |
| DOI |
10.1590/2224-6185.2016.3.12
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.