Abstract: Lately, tugboats are widely used to maneuver vessels by pushing or towing them where tugboats use rope. In order to correctly control the motion of tugboat and towed vessel, the dynamics of the towline would be well identified. In real application environment, the towing rope length changes and the towing load is not constant due to the various sizes of towed vessel. And there are many ropes made by many types of materials. It means that it is not easy to obtain rope dynamics, such that it is too difficult to satisfy the given control purpose by designing control system. Thus real time identification or adaptive control system design method may be a solution. However it is necessary to secure sufficient information about rope dynamics to obtain desirable control performance. In this paper, the authors try to have several rope dynamic models by changing the rope length to consider real application conditions. Among them, a representative model is selected and the others are considered as uncertain models which are considered in control system design. The authors design a robust control to cope with strong uncertain and nonlinear property included in the real plant. The designed control system based on robust control framework is evaluated by simulation.
TL;DR: The results show that the detected edge of injured part by the K-means clustering algorithm is more close to real injured edge than that by the Otsu’ threshold algorithm.
Abstract: This paper proposes two measurement methods for injured rate of fish surface using color image segmentation method based on K-means clustering algorithm and Otsu’s threshold algorithm To do this task, the following steps are done Firstly, an RGB color image of the fish is obtained by the CCD color camera and then converted from RGB to HSI Secondly, the S channel is extracted from HSI color space Thirdly, by applying the K-means clustering algorithm to the HSI color space and applying the Otsu’s threshold algorithm to the S channel of HSI color space, the binary images are obtained Fourthly, morphological processes such as dilation and erosion, etc are applied to the binary image Fifthly, to count the number of pixels, the connected-component labeling is adopted and the defined injured rate is gotten by calculating the pixels on the labeled images Finally, to compare the performances of the proposed two measurement methods based on the K-means clustering algorithm and the Otsu’s threshold algorithm, the edge detection of the final binary image after morphological processing is done and matched with the gray image of the original RGB image obtained by CCD camera The results show that the detected edge of injured part by the K-means clustering algorithm is more close to real injured edge than that by the Otsu’ threshold algorithm
TL;DR: In this paper, the internal flow field analysis of the valve was conducted by Fluent, and the working fluid used in the study, using liquefied methane -165 ℃ (CH4), was simulated by varying separately the opening divergence into four intervals from 0 to 100%.
Abstract: Swing check valve is opened when the flow direction is forward, when the flow is reversed, the valve is automatically closed by back pressure. In this study, the internal flow field analysis of the valve was conducted by Fluent. The working fluid used in the study, using liquefied methane -165 ℃ (CH4) and velocity field, pressure field, pressure drop coefficient were simulated by varying separately the opening divergence into four intervals from 0 to 100%. The approximate research result are as follow : When the opening divergence is smaller, it appears high pressure on the upstream side, this value is relaxed when the opening divergence is large. Flow rate coefficient of the valve shows a larger value as the degree of opening becomes larger, confirming that the check valve used in the study is in the effective flow rate counting range. Key Words :Cryogenic, LNG, Swing Check Valve, Flow Analysis, Flow Coefficient, Pressure Drop Coefficient *†문정현(교신저자) : 선박해양플랜트연구소 해수플랜트연구센터E-mail : moonjh@kriso.re.kr, Tel : 033-630-5028 *†Jung-Hyun Moon(corresponding author) : Korea Research Institute of Ships & Ocean Engineering, Seawater Utilization Plant Research CenterE-mail : moonjh@kriso.re.kr, Tel : 033-630-5028
TL;DR: An overview of the history of electric power in India till 2015 is given in this paper, where the authors present the facts to know about the history and till date progress about the power sectors in India.
Abstract: This paper gives an overview of the history of electric power in India till 2015. India is day by day becoming the core of business destinations. This has been made possible by the growth and huge presence of power plants in India. India has been successful in making an economic growth in last two decades. And, this is also due to the good infrastructure. The power sector has done a tremendous progress after independence of India. This paper has certain facts to know about the history and till date progress about the power sectors in India.
TL;DR: When abnormal signal is input to actual normal signal of a pump, early detection studies on pump’s fault symptom were carried out with auto-associative kernel regression as an advanced pattern recognition algorithm to detect fault symptom through the early-warning index.
Abstract: As a method to improve the equipment reliability, early warning researches that can be detected fault symptom of an equipment at an early stage are being performed out among developed countries. In this paper, when abnormal signal is input to actual normal signal of a pump, early detection studies on pump’s fault symptom were carried out with auto-associative kernel regression as an advanced pattern recognition algorithm. From analysis, correlations among power of motor driving pump, discharge flow of pump, power output of pump, and discharge pressure of pump are exited. When the abnormal signal is input to one of those normal signals, the other expected values are changed due to the influence of the abnormal signal. Therefore, the fault symptom of pump through the early-warning index is able to detect at an early stage. Key Words :Equipment Reliability, Early Warning, Fault Symptom, Pattern Recognition, Auto-Associative Kernel Regression(AAKR), Correlation, Early-warning Index
TL;DR: In this article, the vorticity distribution of a small-size axial fan was evaluated in a 3D large-eddy simulation and it was shown that the X-component profiles developed around blade tips turn from axial to radial, and diminish the density of distribution according to the increase of static pressure.
Abstract: The unsteady-state, incompressible and three-dimensional large-eddy simulation(LES) was carried out to evaluate the vorticity distribution of a small-size axial fan(SSAF). The X-component vorticity profiles developed around blade tips turn from axial to radial, and diminish the density of distribution according to the increase of static pressure. Otherwise, the Z-component vorticity profiles evenly develop at the region larger than the half radial distance of blade at the operating points of A and B, partly at the trailing-edge region of blade and radially over bellmouth according to the increase of static pressure.
TL;DR: In this article, the experimental result and theoretical analysis result to investigate the correlation between the operating force, angle and locking torque for vehicle hood frame are presented. But the experimental equation of the locking torque prediction for the hood frame is derived only for experiment and theory analysis.
Abstract: This paper presents the experimental result and theoretical analysis result to investigate the correlation between the operating force, angle and locking torque for vehicle hood frame. Also, we derived the experimental equation that using the results for experiment and theory. The hood frame is switching-devices used for opening and closing the vehicle hood. It needs the correlation data between locking torques of each joint, operating force and angle of hood frame. The correlation data for torque and reaction force of hood frame obtained through experiment and theory analysis. Finally, the experimental equation of the locking torque prediction for the hood frame is derived.
TL;DR: In this paper, the authors evaluated the thermodynamic performance of ocean thermal energy conversion with 1 kg/s geothermal water flow rate as a heat source to obtain the basic data for the optimal design of cycle with respect to the classification of the working fluid.
Abstract: The thermodynamic performance of ocean thermal energy conversion with 1 kg/s geothermal water flow rate as a heat source was evaluated to obtain the basic data for the optimal design of cycle with respect to the classification of the working fluid. The basic thermodynamic model for cycle is rankine cycle and the geothermal water and deep seawater were adapted for the heat source of evaporator and condenser, respectively. R245fa, R134a are better to use as a working fluid than others in view of the use of geothermal water. It is important to select the proper working fluid to operate the ocean thermal energy conversion. So, this paper can be used as the basic data for the design of ocean thermal energy conversion with geothermal water and deep seawater. Key Words :Deep seawater, Ocean thermal energy conversion, Geothermal water, Rankine cycle **†문정현(교신저자) : 선박해양플랜트연구소E-mail : moonjh@kriso.re.kr, Tel : 033-630-5028 *이호생, 김현주 : 선박해양플랜트연구소**†Jung-Hyun Moon(corresponding author) : Korea Research Institute of Ships & Ocean Engineering E-mail : moonjh@kriso.re.kr, Tel : 033-630-5028 *Ho-Saeng Lee, Hyeon-Ju Kim : Korea Research Institute of Ships & Ocean Engineering
TL;DR: In this article, the reliability of reanalysis wind data was investigated using the met mast wind data at four coastal regions, Jeju Island, Shinchang, Handong, Udo and Gangjeong sites.
Abstract: An investigation on reliability of reanalysis wind data was conducted using the met mast wind data at four coastal regions, Jeju Island. Shinchang, Handong, Udo and Gangjeong sites were chosen for the met mast sites, and ERA-Interim and MERRA reanalysis data at two points on the sea around Jeju Island were analyzed for creating Wind Statistics of WindPRO software. Reliability of reanalysis wind data was assessed by comparing the statistics from the met mast wind data with those from Wind Statistics of WindPRO software. The relative error was calculated for annual average wind speed, wind power density and annual energy production. In addition, Weibull wind speed distribution and monthly energy production were analyzed in detail. As a result, ERA-Interim reanalysis data was more suitable for wind resource assessment than MERRA reanalysis data.
TL;DR: In this paper, the Sylvester-transfer stiffness coefficient method (S-TSCM) was used for free vibration analysis of axisymmetric conical shells and compared with other methods when analyzing free vibration in two computational models.
Abstract: Generally, methods using transfer techniques, like the transfer matrix method and the transfer stiffness coefficient method, find natural frequencies using the sign change of frequency determinants in searching frequency region. However, these methods may omit some natural frequencies when the initial frequency interval is large. The Sylvester-transfer stiffness coefficient method (“S-TSCM”) can always obtain all natural frequencies in the searching frequency region even though the initial frequency interval is large. Because the S-TSCM obtain natural frequencies using the number of natural frequencies existing under a searching frequency. In this paper, the algorithm for the free vibration analysis of axisymmetric conical shells was formulated with S-TSCM. The effectiveness of S-TSCM was verified by comparing numerical results of S-TSCM with those of other methods when analyzing free vibration in two computational models: a truncated conical shell and a complete (not truncated) conical shell.
TL;DR: A new type of encoder is proposed that can obtain the positional information on the position of the rotor using a single position sensor in order to overcome the issues that it has to use numerous signal flows and that the reliability is reduced for the acquisition of positional information generated by using multiple position detectors.
Abstract: Energy consumption rapidly increases with industrial development. therefore an interest in the efficiency of various power converters is increasing. Especially, the field of high-efficiency small motors widely distributed for industrial and family use is considered a very important field in terms of efficient energy usage, and accordingly, in the field of small electric equipment, the use of BLDC that allows high-efficiency drive in an inductor gradually increases. However, for the BLDC drive, information on the position of the rotor is essential. Both methods using a magnetic encoder and an optical encoder to detect the information on the position of the rotor obtain the information by three position sensitive devices, and if any one of these position sensitive devices fails to function, no positional information can be obtained, so there is a limitation in implementing a position sensor with high reliability. In the paper, proposes a new type of encoder that can obtain the positional information on the position of the rotor using a single position sensor in order to overcome the issues that it has to use numerous signal flows and that the reliability is reduced for the acquisition of positional information generated by using multiple position detectors. The encoder in the proposed method replaced the function of generating positional information from multiple sensors with the shape of the encoder plate and the capture function of MICOM. In order to verify the validity of the position detection technique by the proposed encoder, a prototype was produced, and an experiment using the capture function of DSP was conducted through this.
TL;DR: In this paper, the seawater Heat Pump System using seawater with temperature of annual domestic conditions (0℃ to 25 ℃) is designed in order to compare its performance against the Heat Pump using unused heat of seawater.
Abstract: In this study, the seawater Heat Pump System using seawater with temperature of annual domestic conditions (0℃ to 25℃) is designed in order to compare its performance against the Heat Pump using unused heat of seawater. As a potential replacement for current refrigerants that exacerbate global warming and ozone delpetion, a Low GWP refrigerant’s performance is analyzed. The basic water to water Heat Pump system is chosen and three commercial refrigerants - R134a, R410a, R32 – are used to compare against new Low GWP refrigerant R1234ze. When seawater with temperature of 25℃ is used, the performance change showed maximal increase in COP, 38.3%. low GWP refrigerant R1234ze, showed great performance characteristics reach to 5.242 and Existing commercial refrigerant, R134a showed only less than 0.03 performance difference against R1234ze. The study confirms notable performance of R1234ze refrigerant through simulation as environmentally friendly refrigerant for domestic seawater Heat Pump.