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Thermoelectric properties of perovskite-type rare earth cobalt oxide solid solutions Pr1−xDyx
Hideki Hashimoto,Takafumi Kusunose,Tohru Sekino 한양대학교 세라믹연구소 2011 Journal of Ceramic Processing Research Vol.12 No.3
Perovskite-type rare earth cobalt oxide Pr1−xDyxCoO3 (x = 0, 0.25, 0.5, 0.75 and 1) ceramics were fabricated by reaction sintering of the corresponding metal oxide powders, and their thermoelectric properties were evaluated up to 873 K. The electrical properties of Pr1−xDyxCoO3 varied according to a variation in the x value, whereas the thermal conductivity of the solid solutions (x = 0.25 − 0.75) tends to be lower than that of both end components (x = 0 and 1). As the results,Pr0.75Dy0.25CoO3 (x = 0.25) showed the highest figure of merit, Z = 5.72 × 10−5 K−1 at 773 K in the present Pr1−xDyxCoO3 system. This is considered due mainly to the effect of decreasing thermal conductivity caused by phonon scattering of partially substituted A-site ions. These results suggest that the fabrication of solid solutions is effective in improving the thermoelectric properties of the RCoO3 system.
Dextrous Sensor Hand for the Intelligent Assisting System - IAS
Hideki HASHIMOTO,Martin BUSS 대한전자공학회 1992 대한전자공학회 학술대회 Vol.1992 No.10
The goal of the proposed Intelligent Assisting System - IAS is to assist human operators in an intelligent way, while leaving decision and goal planning instances for the human. To realize the IAS the very important issue of manipulation skill identification and analysis has to be solved, which then is stored in a Skill Data Base. Using this data base the IAS is able to perform complex manipulations on the motion control level and to assist the human operator flexibly. We propose a model for manipulation skill based on the dynamics of the grip transformation matrix, which describes the dynamic transformation between object space and finger joint space. Interaction with a virtual world simulator allows the calculation and feedback of appropriate forces through controlled actuators of the sensor glove with 10 degrees-of-freedom. To solve the sensor glove calibration problem, we learn the nonlinear calibration mapping by an artificial neural network(ANN). In this paper we also describe the experimental system setup of the skill acquisition and transfer system as a first approach to the IAS. Some simple manipulation examples and simulation results show the feasibility of the proposed manipulation skill model.