세탁기 밸런스의 열용착 시스템에 관한 연구

Abstract

When washing machine is rotated in the laundry, it tends to lean toward one side. This tendency causes a serious vibration. The balance of washing machine plays an important role in order to reduce the vibration by injecting the sand or the salt water into the balance of washing machine. The hot plate welder is used to prevent from outflow of contents. The thermal characteristics of the hot plate and the balance have to be considered for reducing defects of plastic welding. The hot plate welder brings about many problems which is concerned with accident. The workers are protected by loading/unloading system for balance of washing machine in hot plate welder. The direction recognition and location information in the balance is required in this system. In this thesis, hot plate welding system of balance for the washing machine is studied. The major researches are as follows. Thermal analysis in the hot plate welder for balance of the washing machine is studied. The heat source in hot plate welder plays a really important role for welding of washing machine balance. The temperature distributions of the hot plate and the balance of washing machine are obtained by finite element analysis. The temperatures of the hot plate are measured by the infrared temperature sensor in order to find the thermal contact resistance. The thermal strain of the plastic balance is predicted by thermal-structural coupled analysis. The hot plate welding process is simulated by using ADAMS software. The process scheduling and the working space of hot plate system are predicted through the results of the simulation. The machine vision system is applied to the recognition direction of balance in washing machine. The template is sub-image which expresses the geometric characteristics of balance for the washing machine. The template matching algorithm compares sub-image with original image acquired in real-time to obtain a center point of balance image. The mid points and the edges of balance are estimated by the edge detection and gauging algorithms. The data acquired by these results is used for recognition direction of balance. The automation software for image processing is developed using LabVIEW.