Measuring the Temperature of Moving Particles in Closed Systems by Using Image Analyzing Methods

การหาค่าอุณหภูมิของอนุภาคที่เคลื่อนที่ในระบบปิดด้วยวิธีการวิเคราะห์ภาพ

Name: Naiyanate, Benjamaporn

Organization : มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าธนบุรี

keyword: Image Analysis

; Liquid Crystal

Abstract: One of the main barriers to successful commercialization of aseptically processed particulate foods is the lack of valid basic data on the fluid-to-particle connective heat transfer coefficient. Because of difficulties in monitoring the temperature of the moving particle inside a fluid medium, most previous methods such as a stationary particle method, microbiological/history indicators, the moving thermocouple method, the melting point indicator, transmitter methods or the liquid temperature method comprise this disadvantage. However, these approaches do not represent the actual flow field as encountered in a continuous tube flow. In the presented project we propose a continuative method. To provide a target-orientated solution we used the Thermochromic Liquid Crystal method to observe the pattern of color changes and to calibrate it with the thermocouple at the assigned temperature range. The challenge was to define and develop a non-invasive procedure from outside the closed system of transparent fluids to get an image of a floating particle inside. The appearance of liquid crystals is sensitive and determined by the temperature of the entire environment. We use this phenomenon to reverse the direction of measuring the temperature of this particular particle by analyzing the change of color and appearance in order to change the according temperature. We can say that the approach for the non-invasive measuring method of temperatures is to analyze the taken image of a solid liquid crystal covered body to gather from these values in the color model to the referring temperature. For a valid design of the experiment, it was necessary to eliminate irrelevant technical and environmental factors. Also the liquid crystal, its specifications and its accuracy in showing different colors at the measure points have a huge impact on the results. We use image-processing algorithms and a Hough-Transformation-defined region of interest for the specific area to convert RGB to Hue value and determine the temperature at that specific area. To develop a credible and reliable formula to educe from available images to the temperature of this solid body in its streaming fluid environment, we applied well-proven statistical methods. From more than 4,000 records in each experiment, we could extract a regression coefficient that finally allows predicting and determining temperatures in closed systems by visual evidence and using image analyzing procedures only. We conclude there is a non-linear correlation of dedicated color values of solid liquid crystal bodies that in streaming fluids that can be expressed by the deducted regression-generatedformula.

มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าธนบุรี

Address: กรุงเทพมหานคร (Bangkok)

Email: info.lib@mail.kmutt.ac.th

Name: Asst.Prof.Dr. Bundit Thipakorn

Role: Supervisor

Created: 2545

Issued: 2006-03-08

Modified: 2006-05-10

วิทยานิพนธ์/Thesis

ISBN: 9744563222

CallNumber: CPE426

tha

DegreeName: Master of Engineering

Level: Master's Degree

Descipline: Computer Engineering

Grantor: King Mongkut's University of Technology Thonburi

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