SIGN IN Welcome!Log into your account your username your password Forgot your password Privacy policy PASSWORD RECOVERY Recover your password your email Struktol Home New fast measuring method for process optimization of sucrose crystallization New fast measuring method for process optimization of sucrose crystallization

2020 ◽  
pp. 49-52
Author(s):  
Trine Aabo Andersen
Keyword(s):  
Image Analysis ◽  
Process Optimization ◽  
Crystal Size ◽  
Measuring Method ◽  
Sieve Analysis ◽  
Image Analysis System ◽  
Line System ◽  
Non Invasive ◽  
Analysis System ◽  
User Friendly

A new fast measuring method for process optimization of sucrose crystallization using image analysis based on high quality images and algorithms is introduced. With the mobile, non-invasive at-line system all steps of the sucrose crystallization can be measured to determine the crystal size distribution. The image analysis system is easy to operate and is as well an efficient laboratory solution with user-friendly and customized software. In comparison to sieve analysis, image analyses performed with the ParticleTech Solution have been proven to be reliable.

Improved image analysis system for technical sugar crystal suspensions

2017 ◽  
pp. 538-543
Author(s):  
René Daniëls ◽  
Daniel Nouws ◽  
Arend Wittenberg
Keyword(s):  
Image Analysis ◽  
Sample Preparation ◽  
Crystal Size ◽  
Original System ◽  
Image Analysis System ◽  
Software Configuration ◽  
Grain Formation ◽  
Sample Preparation Procedure ◽  
Analysis System ◽  
Set Up

Since 2003, Suiker Unie has used an off-line image analysis system (IAS) to measure the size distribution of crystals in industrial massecuites. This paper describes the technical set-up, the methods of sampling and sample preparation, and of particle sizing and classification. Based on the experiences of Suiker Unie a couple of improvements were developed that have been realized when updating the system in 2015/16. Analyzing final Aproduct (Asugar) with a crystal size of approximately 600µm was not possible with the original system. When updating the system the opportunity was taken to extend the measuring range to include Asugar. The original light-microscope and automated XYstage were extended with new components: an XYstage controller, a high resolution camera and customized image analysis software, providing new methods of image acquisition and processing. The new hardware and software configuration now allows measurements in the crystal size range of 10µm to 2000µm. The sample preparation procedure was modified to avoid false grain formation especially in suspensions of low purity. Samples are now directly dispersed in a sucrose-fructose solution. The updated system and procedure show less variance in mean aperture (MA) and coefficient of variation (CV) compared to the formerly used method. Both seed crystals and the final Asugar can now be analyzed, thus covering the complete sugar crystallization process.

scholarly journals Maclmage: a user-friendly image-analysis system for the accurate mensuration of marine organisms

1986 ◽  
Vol 33 ◽  
pp. 243-253 ◽  
Author(s):  
KW Estep ◽  
F Maclntyre ◽  
E Hjörleifsson ◽  
JMcN Sieburth
Keyword(s):  
Image Analysis ◽  
Marine Organisms ◽  
Image Analysis System ◽  
Analysis System ◽  
User Friendly

Chemical Classification and Particle Sizing of Foundry Sands

1985 ◽  
Vol 43 ◽  
pp. 388-389
Author(s):  
D.S. DeMiglio
Keyword(s):  
Image Analysis ◽  
Energy Dispersive Spectrometer ◽  
Image Analysis System ◽  
Representative Sampling ◽  
Foundry Sands ◽  
Large Atomic Number ◽  
Backscattered Electron ◽  
Sand Particles ◽  
Analysis System ◽  
Reclamation System

Much progress has been made in recent years towards the development of closed-loop foundry sand reclamation systems. However, virtually all work to date has determined the effectiveness of these systems to remove surface clay and metal oxide scales by a qualitative inspection of a representative sampling of sand particles. In this investigation, particles from a series of foundry sands were sized and chemically classified by a Lemont image analysis system (which was interfaced with an SEM and an X-ray energy dispersive spectrometer) in order to statistically document the effectiveness of a reclamation system developed by The Pangborn Company - a subsidiary of SOHIO.The following samples were submitted: unreclaimed sand; calcined sand; calcined & mechanically scrubbed sand and unused sand. Prior to analysis, each sample was sprinkled onto a carbon mount and coated with an evaporated film of carbon. A backscattered electron photomicrograph of a field of scale-covered particles is shown in Figure 1. Due to a large atomic number difference between sand particles and the carbon mount, the backscattered electron signal was used for image analysis since it had a uniform contrast over the shape of each particle.

Application of Image Analysis System for Study of Activated Sludge Flocs

1986 ◽  
Vol 21 (1) ◽  
pp. 130-140 ◽  
Author(s):  
Da-hong Li ◽  
J. J. Ganczarczyk
Keyword(s):  
Image Analysis ◽  
Activated Sludge ◽  
Statistical Processing ◽  
Equivalent Diameter ◽  
Image Analysis System ◽  
Sectional Area ◽  
Cross Sectional ◽  
Computerized Image Analysis ◽  
Sludge Flocs ◽  
Analysis System

Abstract The computerized image analysis system has been successfully used for determination and statistical processing of the following geometric characteristics of activated sludge flocs: longest dimension, breadth, equivalent diameter, cross-sectional area, perimeter, elongation, and circularity. These parameters could be effectively and precisely determined by the system applied. In addition, the studied method, as compared to direct microscope observation and photography floc-sizing methods, was found to be more accurate, less time-consuming, and less dependent on the investigators.

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