Applied Mechanics and Materials
Vol. 310
Vol. 310
Applied Mechanics and Materials
Vol. 309
Vol. 309
Applied Mechanics and Materials
Vol. 308
Vol. 308
Applied Mechanics and Materials
Vol. 307
Vol. 307
Applied Mechanics and Materials
Vols. 303-306
Vols. 303-306
Applied Mechanics and Materials
Vol. 302
Vol. 302
Applied Mechanics and Materials
Vols. 300-301
Vols. 300-301
Applied Mechanics and Materials
Vol. 299
Vol. 299
Applied Mechanics and Materials
Vols. 295-298
Vols. 295-298
Applied Mechanics and Materials
Vols. 291-294
Vols. 291-294
Applied Mechanics and Materials
Vol. 290
Vol. 290
Applied Mechanics and Materials
Vol. 289
Vol. 289
Applied Mechanics and Materials
Vol. 288
Vol. 288
Applied Mechanics and Materials Vols. 300-301
Paper Title Page
Abstract: Capacitive touch technology has been widely used in various applications because it allows intuitive interfaces and is almost without service-life limitation. There are two major limitations of capacitive touch sensors: the sensitivity is low when the sensing area is small and the sensing penetration is poor when the mechanical structure is thick. Here, we propose a shielding strategy for capacitive touch technology to improve the two limitations of sensing sensitivity and penetration. Based on the same test conditions, our proposed approach can improve sensing sensitivity. Hence, our proposed approach allows the replacement of an experiment device with a 50 mm2 sensing area with one with a 7-mm2 sensing area when using a 4 mm-thick cover.
464
Abstract: As for the SLAM/DR/MEMS integrated navigation system of mobile robot constructed on the self-made SaecROB-H mobile robot, there exist mutant faults which are likely to occur, such as environment feature recognition error and data association error during mobile robot SLAM procedure, or dead reckoning failure caused by wheel slipping and so on. According to these mutant faults, mutant fault detecting and fault-tolerant filtering method was presented in this paper based on finite memory on-line prediction. At last, simulation was carried out and the results show that the method can improve the stability of mobile robot integrated navigation efficiently.
468
Abstract: For robot car, positioning or finding coordinate of robot are important in robot competition. Because which position a robot locates will decide which way it will go or which operation it will perform. How to position accurately becomes a key technology for robot system. Most of the robot positioning systems in competition depends on some special assisted black lines or dots on the competition site. However, in order to enhance the robot design, cancel those assisted lines becomes a new trend. Without those assisted lines, we must develop a new positioning technology to face an environment without any assisted lines. In this paper, we use both Arduino microprocessor and optical mouse sensor to design an optical positioning system for robot. We install an optical mouse sensor in the bottom of robot. When the robot moves, the mouse sensor will return the raw data of movement vector. The middle device Arduino will analyze the movement vector base on previous coordinate and finds the new coordinate of robot. The robot is built by the Lego NXT system and is connected to the Arduino system by I2C interface. In robot, we can build a digitalized map of competition site in advanced. Then it can continuously read the new coordinate from Arduino while moving, and decide which way to go or perform some operation.
475
Abstract: Many surgical operations such as Total knee arthroplasty (TKA) and Total hip arthroplasty (THA) as well as bone fracture reposition require bone cutting manipulations. We have been developing a two degree of freedom robotized bone cutting hand-hold device. It is intended to execute cutting operation in order to avoid problems as accuracy errors, overheating and to obtain smooth bone surface. Surgeons have to orientate and hold the cutting robot, maintaining the contact with the bone during the operation all the time while the device executes manipulation automatically. Dynamical model based on graph theory and the orthogonally principle is derived for considered electromechanical system. Design of the mechanical part of bone cutting robotized device is provided
479
Abstract: Taking diaper which is a representative production of sanitary supplies as an example, a real-time detection method for diaper label based on machine vision is developed. To identify the location of diaper surface label position rapidly, a visual inspection system platform applies to production line is built. Images are captured with high-resolution colorful CCD industrial camera and NC template matching method is adopted as the surface label detection algorithm. Meanwhile, the comparative experiments results among NC, ABS method and Moment Matching method are presented. Experimental results show that this label detection system can realize accurate identification on the condition of different light, whose recognition rate can reach up to 97% and detection algorithm is of preferable instantaneity and stability.
484
Abstract: In the last years, wireless sensor networks (WSNs) have gained increasing application and attention from both the community and actual users. WSN has many benefits such as efficiency, convenience and easy to use/control. By this benefit, the system engineer who works for manufacturing area attempt to apply the sensor network. In this paper, we study the monitoring system with wireless sensor network and its framework for manufacturing system.
490
Abstract: In this study an indoor automatic guided vehicle (AGV) which is not a line-following type is constructed. Low-cost inertial navigation system (INS) and indoor positioning system (IPS) are proposed to replace the high-cost laser navigation system. These AGVs are guided by their own INS almost all the time of running in our system. The IPS constructed by infrareds is used to calibrate the accumulative errors of the inertial system after a specific time interval. Testing results show deviation is about 5% after long time and long distance of movement. This research proves the stability of this system which allows AGVs to work in warehouses by low-cost INS and IPS.
494
Abstract: It is difficult to obtain fine weld seam of underwater welding because of the water environment, this paper used arc sensor to obtain electrical information of the under water wet welding process, and BP neural network was used to model the process, experiment results showed the model could predict the process precisely, this laid the foundation for further controlling the welding quality automatically.
500
Abstract: Due to the distortion is always accorded when the laser facular reaches the four-quadrant detection photosensitive surface of the pulsed laser tracking system, resulting in the decline of the target measuring accuracy. Therefore the effect of facular size and energy distribution for the target azimuth measurement accuracy is researched. The calculation method for laser pot offset is discussed, and the formulas and principle circuit are given. The effect analysis of the laser pot size for measuring linear region and sensitivity are carried out, when the laser spot shows a uniform distribution as well as the Gaussian distribution. The performance of the laser pots under the two energy distribution situations are compared, the corresponding simulation curves are obtained. The simulation results show that the linear region of the Gaussian spot is larger than the uniform spot, but its sensitivity is relatively lower than the uniform spot within the effective dynamic range.
504
Abstract: This paper presents a robot fish with a novel continuum flapping propulsor. It is actuated by the biomimetic wire-driven mechanism. The fish tail is made from a continuous elastic plate. One pair of wire is used to control the tail flapping. Compared with the traditional multi-joint design, in this design the flapping motion could better fit the fish swimming curve, as a result improving the propulsion efficiency. Results show that the propulsion efficiency of the robot could reach 64.4%.
510