A New Method for Automatic Generation of Animated Motion

Author(s):  
Piotr Szczuko
Author(s):  
Jian-Qing Zhang ◽  
Ting-Li Yang

Abstract This work presents a new method for kinetostatic analysis and dynamic analysis of complex planar mechanisms, i.e. the ordered single-opened-chains method. This method makes use of the ordered single-opened chains (in short, SOC,) along with the properties of SOC, and the network constraints relationship between SOC,. By this method, any planar complex mechanism can be automatically decomposed into a series of the ordered single-opened chains and the optimal structural decomposition route (s) can be automatically selected for dynamic analysis, the paper present the dynamic equation which can be used to solve both the kinetostatic problem and the general dynamic problem. The main advantage of the proposed approach is the possibility to reduce the number of equations to be solved simultaneously to the minimum, and its high automation as well. The other advantage is the simplification of the determination of the coefficients in the equations, and thus it maybe result in a much less time-consuming algorthem. The proposed approach is illustrated with three examples. The presented method can be easily extended to the dynamic analysis of spatial mechanisms.


2012 ◽  
Vol 232 ◽  
pp. 775-779
Author(s):  
Jun Li ◽  
Wei Wei Li ◽  
De Kuan Zhang

The general information and features of supercritical unit are illustrated. According to the engineering application situation, by comparing two feedforward methods, the new method application effect than classic control method, the response of unit’s load is much faster than before. It’s benefit to Automatic Generation Control (AGC). It’s hoped that the analysis and optimization can provide useful experience and lessons for the design of the supercritical boiler control to some extent.


Author(s):  
Hui-Ping Shen ◽  
Ting-Li Yang

Abstract This work presents a new method for kinematic analysis of planar complex mechanisms, i. e, the ordered single-opened-chains method. This method makes use of the ordered single-opened chains (in short, SOC.) along with the properities of SOC, and the network constraints relationship between SOC. By this method, any planar complex mechanism ran be automatically decomposed into a series of the ordered single-opened chains and the optimal structural decomposition route(s) can be automatically selected for kinematic analysis. The kinematic analysis equations with fewest unknown variables can be automatically generated and easily solved. Perhaps, the most attractive features of this method are its high automation and convergence in computer implementations. This work firstly describes the principle of the ordered SOC method and then introduces the computer automatic generation of this method along with the application to two complex linkages. The method developed can be easily extended to the kinemetic analysis of the spatial mechanisms.


Author(s):  
Song-Qing Shan ◽  
Ting-Li Yang

Abstract This paper presents a new method for kinematic error analysis of planar complex mechanisms, i.e., the ordered single -opened -chains method. This approach is based on the ordered single-opened chains (namely, series binary links, in short, SOCs)and makes use of the properties of SOCs and the network constraint relationships between SOCs. Its mathematical model harmonizes with the structure, kinematics, and dynamics model of mechanisms. The kinematic error analysis equations with few unknown variables can be automatically generated and easily solved. Therefore, any planar complex mechanism can be automatically decomposed into a series of the ordered single-opened-chains and then its kinematic error analysis can be easily completed through this method. Perhaps, the most attractive features of this method are its high automation and convergence in computer implementations. This work describes the principle of the ordered SOC method, introduces its computer automatic generation and compiles the corresponding computer program KEAPL. Two Examples are given at the end of the paper. The proposed method can be easily extended to the kinematic error analysis of the spatial mechanisms.


2013 ◽  
Vol 753-755 ◽  
pp. 2511-2514
Author(s):  
Guo Bao Ding ◽  
Zhi Cheng Huo ◽  
Lian Bing Wang ◽  
Dan Li

A new method for electronic circuit fault knowledge automatic generation Using PSpice has been put forward based on summarizing development of the intelligent fault diagnosis technology. A new algorithm of generating fault knowledge automatically has been designed by analysing the structure characteristics of the CIR file. The algorithm of search automatically has been designed by analysing the structure characteristic of the OUT file. The DC fault dictionary method has been improved and the fault order according to the minimum distance will guide the user to remove the fault. In the end, through these technologies, the fault knowledge query system has been empoldered. The feasibility of the proposed method has been proved by experiment results.


Author(s):  
C. C. Clawson ◽  
L. W. Anderson ◽  
R. A. Good

Investigations which require electron microscope examination of a few specific areas of non-homogeneous tissues make random sampling of small blocks an inefficient and unrewarding procedure. Therefore, several investigators have devised methods which allow obtaining sample blocks for electron microscopy from region of tissue previously identified by light microscopy of present here techniques which make possible: 1) sampling tissue for electron microscopy from selected areas previously identified by light microscopy of relatively large pieces of tissue; 2) dehydration and embedding large numbers of individually identified blocks while keeping each one separate; 3) a new method of maintaining specific orientation of blocks during embedding; 4) special light microscopic staining or fluorescent procedures and electron microscopy on immediately adjacent small areas of tissue.


1960 ◽  
Vol 23 ◽  
pp. 227-232 ◽  
Author(s):  
P WEST ◽  
G LYLES
Keyword(s):  

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