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The combination of a bolt and nut is the element most widely used for connecting machines and structures. When a load is repetitively applied in the direction right angle to the bolt axis after the bolt and nut is fastened, the nut gradually becomes loose. To solve this problem, in this study, a new type of the loose-proof nut, called a lock nut, is developed. The lock nut is equipped with a spring, and the spring increases the axial force of the bolt. Then, the connection force between the bolt and nut is also augmented. Three dimensional finite element models for the bolt and spring are generated, and the change of the axial force of the bolt while the bolt is being inserted into the spring is analyzed using MSC/Marc, a commercial finite element program. Finally, the optimum shape of the spring is found according to the response surface analysis methodology. The optimization result is verified by comparing the variation of the axial force of the bolt when the bolt is inserted to the initial and optimized spring.
As the customer requirements for convenience in the vehicle increase today, the number of parts for passenger convenience and comfort functions is also increasing in the seats in the vehicle. To operate these seat function components, the seat switch consists of a variety of knobs and buttons. However, the seat switch is located on the side of the seat, so it is not easy for passengers to locate the knob and buttons due to a small space, and due to confusion about the function, it is also ranked at the top of the complaint in the JDP research. Therefore, to improve seat switch cognition, a constant capacity sensor in the switch is applied to measure the signal changes caused by contact with the switch knob of the passenger, and a system is constructed to determine whether or not to contact the passenger. The reliability of the system is ensured through comparative evaluation of actual conditions of use, such as foreign substance evaluation.
In this paper, the analysis model to estimate the durability of a propeller shaft of an automotive was created using the finite element analysis method. The analysis model is composed of a shaft, rubber coupling yoke and rubber coupling. The dynamic stress variation generated at the rubber coupling yoke was measured. Sensitivities of design variables of the rubber coupling, which is used to connect the shaft to the driving axle, were analyzed by using the design of experiment. Based on the sensitivity analysis results, design modification to the shape of the rubber coupling was carried out, and the results were discussed.
The automobile remanufacturing industry has started from the maintenance industry. And now it accounts for 80% of the domestic remanufacturing industry. Domestic consumers still tend to prefer new products than remanufactured products. Therefore, the market for remanufactured products is small compared to that for new products. Additionally, the technological capabilities of remanufacturing manufacturers and process technologies should be applicable in unfavorable manufacturing environments. This study focused on improving the remanufacturing process of the alternator stator and rotor by adding process and severity rating. Throughout the study, it was assumed that it is possible to improve the performance and vibration resistance of the remanufactured products.
The smart headrest can detect gap between driver`s head and headrest. It is required that a technique calculate an optimal target distance. In this paper we study the characteristics of the sensor the underlying technology that can detect the distance between the driver`s head and the headrest. We suggest the 2 Channel sensor and 3 channel sensor using capacitive sensor. We use upper sensor, lower sensor and shoulder sensor. The 2 channel sensor consists of only upper sensor and lower sensor. We compare and evaluate the properties of each sensor. By the result, We know that the 2 channel pattern detection area is large and it was confirmed to be suitable for smart headrest.