Authors: Choul Jun Choi, Jae Yeol Kim, Dong Jo Yang, Kyung Seok Song, Yeon Shik Ahn
Abstract: In this investigation, we evaluated diagnoses of a defect concerning coating of land-base
gas turbine using infrared thermography camera. In this camera method has a strong point which is
able to save time and costs compared with former method. Because it can be long field acquire
temperature distribution by using non-contact method. But it has a week point that method applies
thermal load about inspection sample. Presently, Method used widely in detection of crack is
ultrasonic inspection. But this method, There is problem in application in place that uneven surface.
In order to check cracks on a blade coating of a gas turbine, a part with cracks in a waste blade
disposed after having been used in the field was extracted to produce a sample. So we apply the
method by a infrared thermography camera to the produced sample, the sample was heated by means
of a halogen lamp. In this paper, we want to describe production of land-base turbine sample, a
method of applying thermal load at produced sample, infrared thermography camera technique, an
analysis technique of thermography, a defect analysis of coating of land-base gas turbine blades.
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Authors: Choul Jun Choi, Jae Yeol Kim, Dong Jo Yang, Kyung Seok Song, Lee Ku Kwac
Abstract: After Industrial Revolution, energy has been recognized as an important factor which
enhances the motive power for industry in the industrial society. However, recently the excessive
consumption of energy pursuant to the rapid expansion of industry created serious problems of the
exhaustion of fossil fuels as well as unusual change in the weather due to the mass discharge of
carbon dioxide. We can say that after all proposals will boil down to the development of New &
Renewable energy. The most suitable source of energy for this required change is solar energy. The
advantages of solar energy are that it is renewable, infinite supplied and environmentally safe energy
source, and the method of energy supply is in small scale and is decentralized. However, solar energy
related products have the problems such as the limitation for installation, problems in maintenance
and insufficient reliability, which have been the barrier to consumers to satisfy the purchase need for
solar heat related products. In this research will perform thermodynamic analysis through the
application of infrared ray thermal imaging camera and will discuss about the applicability of solar
energy system and other fields as well.
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Authors: Dong Jo Yang, Jae Yeol Kim, Jae Ho Han
Abstract: The main purpose of this investigation was to evaluate the performance of the solar hot water heater for dwellings in a long period of time. In order to evaluate the performance, there were 11 solar hot water heaters located in Gwangju Chosun University examined for their performance in 30 month period as a long term. The specific monitoring systems of each heater were constructed for the demonstrational research and the data base associated to each monitoring systems were assembled for an extensive analysis for variety of data obtained. The demonstrational experiments were conducted through following the routine procedures of 4 specific tests (the replicated drainage test, the daily drain test, the daily agitation test, the short-term test). The performance evaluation was based on the performances in insulating and solar collecting and the experimental routines and the performance experiments had incorporated the consumers’ use and need of the product. The ultimate goals of this investigation were to achieve consumers’ trust on the products and to promote the extensive distributions of the solar hot water heaters. The demonstrational research of this investigation was to evaluate the performance of the solar hot water heater for the residents for a long period of time. This research will be continued extensively.
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Authors: Dong Jo Yang, Jae Yeol Kim, Young Tae Yoo, Kyoung Bo Ro, Jae Ho Han
463
Authors: Dong Jo Yang, Jae Yeol Kim, Yool Kwon Oh, Young Tae Cho, S. You
Abstract: Tires are the only means for connecting a vehicle to the ground. The forces such as driving force, braking force, rotation force and the like occur on the contact surface between the tire and the ground and thus determine the motion of the vehicle. A general tire generates separation that continues to repeat tension and compression by the load of the vehicle. The separation raises the temperature of the tire, resulting in loosening between tire members and in the end damages the tire. Since a tire has a composite structure, which consists of rubber and reinforcements, many problems arise in the analysis of the tire. In this study, a tire of a composite structure was analyzed for heat transfer under the same condition as in the running state, so as to examine temperature distribution at tread. Theoretical results were verified using a thermal vision camera a non-contact non-destructive temperature measurement instrument.
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Authors: Jae Yeol Kim, Young Tae Yoo, Kyung Seok Song, Chang Hyun Kim, Dong Jo Yang
Abstract: The purpose of this research is stability estimation of plant structure through classification and
recognition about welding flaw in SWP(Spiral Welding Pipe). And, In this research, we used
nondestructive test based on ultrasonic test as inspection method, and made up inspection robot in
order to control of ultrasonic probe on the SWP surface, and programmed to signal processing code
and pattern classifying code by user made programming code. Inspection robot is simply
constructed as 2-axes because of welding bead with fixed pitch. So, inspection of welding part can
be possible as composition of inspection part for tracking on welding line. For evaluation of flaw
signal is reflected on welding flaw, user-made program codes are composed of signal processing
and Bayesian classifier and perceptron neural network and back-propagation neural network. And
then, we confirmed to superiority of neural network method compared with Bayesian classifier for
classification and recognition rate. According to this result, we selected back-propagation neural
network as classification and recognition method about the system of SWP stability Estimation[2].
Through this process, we proved efficiency on the system of SWP stability Estimation, and
constructed on the base of the system of SWP stability Estimation for the application in industrial
fields.
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