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Cam mechanisms are one of the most popular devices for generating irregular motion and are widely used in many industrial areas. The purpose of this study is the development of high precision measuring system for measurement data acquisition and analysis of a manufactured cam profile. The developed system is composed of servo motor, CNC controller, rotary encoder, and laser interferometer. And also, this system is non-contact measuring type. The developed system takes only 5 minutes to measure a cam profile and to analyze the measuring data while the CMM(coordinate measuring machine) takes about 1 hours even by a skilled operator.
External Confinement of concrete in CFS(Carbon Fiber sheets) enhances strength and ductility of concrete columns. This paper presents the test results on the study of reinforced concrete columns strengthened with carbon fiber sheets. The purpose of this research is to evaluate the CFS confinement characteristics of square reinforced concrete columns and the ductility behavior of R/C columns strengthened with CFS. The tests were performed with different lateral reinforcement ratios, CFS reinforcement ratios and concrete strength. Test results were characterized according to maximum loads and lateral strain of CFS and Lateral reinforcement.
Most period code formulas for the RC moment resisting frame building are empirical formulas. Code formula is developed by the measured period of the low-medium buildings during the 1971 San Fernando Earthquake. But measured periods are insufficient to assure the reliability of its accuracy and safety. This paper improves the code formula by regression analysis of the measured period data. Seismic coefficient using the improved formula is evaluated and also compared with those of being based on the current code formula.
For the high temperature engineering applications, materials used are required to possess superior thermo-mechanical performances, such as high temperature strength and creep resistance, especially fracture toughness and thermal shock resistance. So, laminated composites have been used for several decades as a heat-resisting material. But, there exists one inevitable disadvantage in classical laminate composites. To resolve this problem, a notion of functionally graded materials(FGM) was introduced. In FGMs, a material composition varies continuously from one end to the other of graded layer. In oder to find suitable volume fraction distribution in the graded layer for relaxing thermal stress, we apply optimization technique and neural network algorithm. The purpose of the use of neural network is to minimize the total CPU time by reducing the number of finite element analysis. As well, we confirmed that the neural network leads to reliable approximation of the objective function.
Tire is a very important part of automobile because it supports entire automobile weight. As well, it characterizes major tire and automobile performances. Here, we intend to analyse contact pressure characteristics of tire by using neural algorithm. The tire analysis includes very difficult issues such as contact treatment, nonlinear material behavior and 3D analysis for contact pressure, and which requires considerably long CPU time. In order to minimize the numerical analysis cost, we employ a neural network for learning the tire contact pressure behavior.
Multi-tasking machines are widely used in machine tool industries nowadays. This study focuses on the effect of load on the structure stabilities of laser multi-tasking machine which is comprehensively combined turning center and laser machine. For design of the machine, simulation of structural analysis is carried out varying number of elements. The analysis is carried out by FEM simulation using the commercial software, CATIA V5. This method showed a proper number of elements can be selected to obtain good result by reduced computation time.