Applied Mechanics and Materials Vols. 380-384

Paper Title Page

Abstract: The paper analyses the method of line contact machining which is for side milling. And researches the all-software CNC based on line contact machining which running on Win NT OS. The system controls the side-surface of the cutting tool to process the whole side of work piece at one time. Whats more, the system includes a graphics automatically programming system based on line contact of machining.
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Abstract: Acceleration control using fuzzy logic is investigated in this paper for a plug-in series hybrid electric vehicle in order to improve the vehicle response to drivers demand. The transient process of acceleration is mainly considered in this research. Fuzzy logic is used for motor transient torque control according to drivers input and vehicle velocity, outputting a regulatory factor to increase motor torque transiently when drivers acceleration pedal is pushed down deeply and to reduce the torque increment when acceleration process is close to over. Performance of fuzzy control is tested by MATLAB simulation. Simulation results indicate that the presented fuzzy algorithm is feasible and effective for improving vehicle acceleration ability without damaging stable velocity control characteristic; in simulation, vehicle acceleration time of 0-100km/h has been reduced by 2.4 seconds.
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Abstract: This paper introduces a prototype active engine mount (AEM) system designed for commercial passenger, requiring a good engine vibration solation performance. The AEM consists of a conventional hydraulic engine mount and an internal electromagnetic actuator. The robust H controller was adopted to cancel out the force transmitted through the AEM. The vibration isolation performance tests were carried out by simulating the engine idle shake. The experimental result confirmed that can control unwanted vibration from the engine operation by using active mounts.
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Abstract: Nowadays, since there are many artificial intelligence techniques introduced into our daily life, which brings us much convenience, its a real hope that our transportation can be improved by artificial intelligence. In this article, a smart car with the detecting and following ability is introduced. The whole system is composed of the road track signal device; the electromagnetic sensor; the power source manage device; the engine drive device and the parking position detecting device. By using the PID, Bang-Bang and fuzz control methods, the smart car can collect the signal automatically and control the car moving effectively. When there are specially designed roads with electromagnetic field, our smart cars can automatically drive themselves.
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Abstract: This paper proposes a hypothesis that ABS(Anti-Brake System) regulation of EVs (Electric Vehicles) could be achieved only by wheel motors. Based on the logic threshold method, an ABS control strategy is designed to verify the hypothesis. Furthermore, a model called four wheel motor drive EV model is originated with this control strategy, and co-simulated in both AMESim and MATLAB/Simulink. Finally, according to the rule ECE R13, this ABS control strategy for EVs is validated in theory.
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Abstract: Aiming at starting process of the mini-car with the magnetic powder clutch, the control strategy with different parameters is proposed. The parameters are the opening degree and change rate of the throttle, the objective speed and actual speed of the engine, the engine lowest combination speed, and the transmission input shaft speed. The results show that, this control strategy can fit the starting intention. The car can start reposefully and rapidly and the sliding friction work is relatively low. The engine speed changes reposefully in the combination. The fuel consumption and the noise are decreased.
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Abstract: Today, the sensors are used in the different fields, especially in the automobiles and Aeronautics and Astronautics industry. Speed sensor in the car is very useful . The engine speed sensor and speed sensor are used to collect the movement of the car, which Can intelligently judge drivers true intentions of the operation, in accordance with a set of systems, intelligently solve the problem that driver can not reasonably Use the clutch. Through intelligent systems, controlling the clutch can effectively reduce the fuel consumption of the car.The system enables more intelligent operation of the vehicle, improved shift quality of the car, to improve vehicle handling and stability. Operating system with high intelligent and saving fuel is easy to operate. The operating system can effectively prevent the occurrence of car flameout. The operating system can adapt to all kinds of driver to use, especially for beginners and handicapped people to bring the gospel.
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Abstract: Integration of computer-aided design (CAD) and computer-aided manufacturing (CAM) have been extensively studied by the people both in academia and industry during the last few decades. Because of fluency of information flow achieved by taking the same data model, advantages brought from integration of CAD and CAM are obvious, such as cost savings and improved efficiency. However, another impediment about information flow still exists between CAM and Computerized Numerical Control (CNC). The data model used in the planning department is quite different to the G codes (ISO 6983) used on the shopfloor. This means that the translation of the data format is inescapable, moreover, any information added or modified by the operator on the shopfloor cannot be fed back to the planning department. a two-directional interface between CAM and CNC. Integration of CAM and CNC based on STEP-NC can be realized seamlessly.
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Abstract: Relative to the passive suspension, automotive active suspension car driving more ride comfort and stability, has a vital role to further improve the performance of the vehicle. For such a typically complex active suspension system research, the key issue is the selection of control strategies. The problems in the currently active suspension control strategy, the principle of a simple, effective, this paper, a single neuron PID control strategy used in the automotive active suspension system. The results show that compared with other control strategies, single neuron PID control strategy is reliable, has more advantages.
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Abstract: A novel ranging method based on self-calibration principle is proposed in the paper. This method can be used in vehicle ranging to achieve accurate distance measurement. The principle of the method, hardware architecture and experiment analysis are introduced. Self-calibration principle can eliminate the impact of the velocity of ultrasound on vehicle ranging. Plenty of experiments have been done to validate the design. Both theoretical analysis and experimental results show the effectiveness of the method. A full description of the method and implementation are presented.
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