In-line particle sizing for real-time process control by fibre-optical spatial filtering technique (SFT)

Petrak, D.; Dietrich, Stefan; Eckardt, Günter; Köhler, Michael

doi:10.1016/j.apt.2010.11.002

Cited by 46 publications

(10 citation statements)

References 7 publications

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“…Alternative methods of the pellet size and velocity analysis may be based on optical fibre spatial filtering. Scientific publications [19,20] report the results of the research, carried out by using Parsum Gmbh equipment. Measurements were made with particles in the range of 50-6000 µm.…”

Section: Methodsmentioning

confidence: 99%

Research of the Operator’s Advisory System Based on Fuzzy Logic for Pelletizing Equipment

et al. 2019

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Fertilizer manufacturing in the chemical industry is closely related with agricultural production. More than a half of raw materials for food products are grown by fertilizing plants. The demand of fertilizers has been constantly increasing along the growth of human population. Fertilizer manufacturers face millions of losses each year due to poor quality products. One of the most common reasons is wrong decisions in control of manufacturing processes. Operator’s experience has the highest influence on this. This paper analyzes the pellet measurement data, collected at the fertilizer plant by using indirect measurements. The results of these measurements are used to construct the model of equipment status control, based on the fuzzy logic. The proposed solution allows to respond to changes in production parameters in a 7–10 times faster manner. On average, a manufacturer with production volumes of up to 80 tonnes/hour could have lost about 8400 tonnes/year of high-quality production. The publication seeks symmetry between human and system decision making.

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Section: Methodsmentioning

confidence: 99%

Research of the Operator’s Advisory System Based on Fuzzy Logic for Pelletizing Equipment

et al. 2019

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“…Dieter et al [59] showed several results of SFV applications utilizing the Parsum IPP 70-S for the particle size monitoring in particulate processes, including granulation and coating in fluidized beds. For the granulation process they compared the average diameter (X 50 ) obtained in-line by SFV and at-line by laser difractometry.…”

Section: Spatial Filtering Velocimetry (Sfv)mentioning

confidence: 98%

“…Comparisons performed with sieving were concordant Burggraeve et al [57] 2010 SFV Used the SFV technique for the understanding and monitoring of the granulation process. Comparisons with off-line techniques showed good prevision of data Huang et al [58] 2010 SFV Monitored the growing of particles during the granulation and used multivariable analysis to evaluate the performance of the process Dieter et al [59] 2011 SFV Particle size was monitored in granulation and coating processes. The end-point in the granulation and undesirable agglomeration in the coating process could be detected feed-back controller (PID) using moisture content as the controlled variable and the atomizing liquid flow rate as the manipulated variable.…”

Section: Referencementioning

confidence: 99%

Monitoring and control of coating and granulation processes in fluidized beds – A review

Silva

Butzge

Nitz

et al. 2014

Advanced Powder Technology

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“…With increasing productivity, the best tools for quality assurance are indirect methods of measuring that allow real-time evaluation of the quality of pellets [1][2][3][4][5][6][7][8][9][10][11][12][13]. The technique of processing digital images provides results that are very similar to the results of control equipment based on direct measurements [14][15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Method for Volume of Irregular Shape Pellets Estimation Using 2D Imaging Measurement

et al. 2020

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Growing population and decreasing amount of cultivated land conditions the increase of fertilizer demand. With the advancements of computerized equipment, more complex methods can be used for solving complex mathematical problems. In the fertilizer industry, the granulometric composition of products matters as much as the quality of production of chemical composition products. The shape and size of pellets determines their distribution over cultivated land areas. The effective distance of field spreading is directly related to the size and shape parameters of a pellet. Therefore, the monitoring of production in production lines is essential. The standard direct methods of the monitoring and control of granulometric composition requires too much time and human resources. These factors can be eliminated by using imaging measuring methods that have a variety of benefits, but require additional research in order to assure and determine the compliance of real-time results with results of the control equipment. One of the fastest, most flexible and largest amount of data providing methods is the processing and analysis of digital images. However, then we face the issue of the suitability of 2D images to be used for the evaluation of granulometric compositions, where processing of digital images provides only two dimensions of a pellet: length and width. This study proposes a method of evaluating an irregular pellet. After experimental research we determined < 2% of discrepancy when compared to the real volume of a pellet.

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In-line particle sizing for real-time process control by fibre-optical spatial filtering technique (SFT)

Cited by 46 publications

References 7 publications

Research of the Operator’s Advisory System Based on Fuzzy Logic for Pelletizing Equipment

Research of the Operator’s Advisory System Based on Fuzzy Logic for Pelletizing Equipment

Monitoring and control of coating and granulation processes in fluidized beds – A review

Method for Volume of Irregular Shape Pellets Estimation Using 2D Imaging Measurement

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