Determination of Particle Size and Distribution through Image-Based Macroscopic Analysis of the Structure of Biomass Briquettes

被引:29
作者
Chaloupkova, Veronika [1 ]
Ivanova, Tatiana [1 ]
Ekrt, Ondrej [2 ]
Kabutey, Abraham [3 ]
Herak, David [3 ]
机构
[1] Czech Univ Life Sci Prague, Fac Trop AgriSci, Dept Sustainable Technol, Kamycka 129, Prague 16521 6, Suchdol, Czech Republic
[2] Univ Chem & Technol Prague, Fac Chem Engn, Dept Phys & Measurements, Tech 5, Prague 16628 6, Dejvice, Czech Republic
[3] Czech Univ Life Sci Prague, Fac Engn, Dept Mech Engn, Kamycka 129, Prague 16521 6, Suchdol, Czech Republic
关键词
compaction; computer vision; macrostructure; particle size classification; solid biofuel; COMPUTER VISION SYSTEM; MECHANICAL-PROPERTIES; PHYSICAL-PROPERTIES; SHAPE; CLASSIFICATION; QUALITY; PELLETS; WOOD; STRENGTH; VALUES;
D O I
10.3390/en11020331
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Via image-based macroscopic, analysis of a briquettes' surface structure, particle size, and distribution was determined to better understand the behavioural pattern of input material during agglomeration in the pressing chamber of a briquetting machine. The briquettes, made of miscanthus, industrial hemp and pine sawdust were produced by a hydraulic piston press. Their structure was visualized by a stereomicroscope equipped with a digital camera and software for image analysis and data measurements. In total, 90 images of surface structure were obtained and quantitatively analysed. Using Nikon Instruments Software (NIS)-Elements software, the length and area of 900 particles were measured and statistically tested to compare the size of the particles at different surface locations. Results showed statistically significant differences in particles' size distribution: larger particles were generally on the front side of briquettes and vice versa, smaller particles were on the rear side. As well, larger particles were centred in the middle of cross sections and the smaller particles were centred on the bottom of the briquette.
引用
收藏
页数:13
相关论文
共 61 条
[11]   A computer vision system for coffee beans classification based on computational intelligence techniques [J].
de Oliveira, Emanuelle Morais ;
Leme, Dimas Samid ;
Groenner Barbosa, Bruno Henrique ;
Rodarte, Mirian Pereira ;
Fonseca Alvarenga Pereira, Rosemary Gualberto .
JOURNAL OF FOOD ENGINEERING, 2016, 171 :22-27
[12]   A computer vision approach for automated analysis and classification of microstructural image data [J].
DeCost, Brian L. ;
Holm, Elizabeth A. .
COMPUTATIONAL MATERIALS SCIENCE, 2015, 110 :126-133
[13]   Automated determination of poplar chip size distribution based on combined image and multivariate analyses [J].
Febbi, Paolo ;
Menesatti, Paolo ;
Costa, Corrado ;
Pari, Luigi ;
Cecchini, Massimo .
BIOMASS & BIOENERGY, 2015, 73 :1-10
[14]  
Genasen V., 2008, BIOSYST ENG, V101, P425
[15]   Analysis of standard sieving method for milled biomass through image processing. Effects of particle shape and size for poplar and corn stover [J].
Gil, Miguel ;
Teruel, Enrique ;
Arauzo, Inmaculada .
FUEL, 2014, 116 :328-340
[16]   Measurement of meat color using a computer vision system [J].
Girolami, Antonio ;
Napolitano, Fabio ;
Faraone, Daniela ;
Braghieri, Ada .
MEAT SCIENCE, 2013, 93 (01) :111-118
[17]   A text reading algorithm for natural images [J].
Gonzalez, Alvaro ;
Miguel Bergasa, Luis .
IMAGE AND VISION COMPUTING, 2013, 31 (03) :255-274
[18]   Experimental research on shape and size distribution of biomass particle [J].
Guo, Qiang ;
Chen, Xueli ;
Liu, Haifeng .
FUEL, 2012, 94 (01) :551-555
[19]   Effect of Particle Size on Mechanical Properties of Pellets Made from Biomass Blends [J].
Harun, Noorfidza Y. ;
Afzal, Muhammad T. .
PROCEEDING OF 4TH INTERNATIONAL CONFERENCE ON PROCESS ENGINEERING AND ADVANCED MATERIALS (ICPEAM 2016), 2016, 148 :93-99
[20]   Effect of pelleting process variables on physical properties and sugar yields of ammonia fiber expansion pretreated corn stover [J].
Hoover, Amber N. ;
Tumuluru, Jaya Shankar ;
Teymouri, Farzaneh ;
Moore, Janette ;
Gresham, Garold .
BIORESOURCE TECHNOLOGY, 2014, 164 :128-135