Multi-domain unified modeling and simulation of semi-active suspension in magnerorheological damper
In order to build high-precision and highefficient MR damper system model, a multi-domain unified modeling method was proposed. Firstly, based on the analysis of a MR damper semi-active suspension system model, various fields of MR, such as structure, magnetic field, control and mechanics, were studied to find the main influencing parameters. And then for the multi-domain coupling characteristics of MR damper, a multi-domain unified modeling of MR damper system was established based on Modelica/MWorks platform. By adjusting the main influencing parameters, the relationship diagrams between the parameters and the performances were obtained. Finally, some performance results were compared with the traditional method used Matlab/simulink modeling and the method proposed. The results show that the model based on Modelica can preferably reflect the complex relationship between the MR damper coupling among the parameters within the system, and can get a better simulation result.
Modelica and Its Mechanism of Multi-domain Unified Modeling and Simulation
Modelica and its main characteristics were first introduced, and then the mechanism of multi-domain unified modeling and simulation with Modelica was proposed. The reason that Modelica is suitable for modeling complex system was analyzed. The method for complex product modeling with Modelica was discussed, and the current status of the development of Modelica based modeling and simulation tools was proposed. Finally, the advantages of multi-domain unified modeling with Modelica were summarized.
Prediction of a representative point for rail temperature measurement by considering longitudinal deformation
Monitoring rail temperature is very important for determining the safe running speed of trains and to prevent buckling. In general, the maximum variation of the internal rail temperature can be >7 ℃ depending on the point of measurement. However, there is as yet no sufficient information about how to predict the measurement point to represent the thermal deformation due to temperature distribution. In this study, the authors report a new point, called the representative measurement point, at which the rail temperature can be measured. This point considers the average deformation of the rail through structural analysis by adopting experimental and actual rail temperature data. The authors designed and installed a measurement system similar to an actual rail environment. Using the system, various data were acquired (internal/surface rail temperature and weather data) for 10 months. On the basis of these data, an analysis was done to calculate the average deformation point through thermal analysis. Finally, the representative measurement point was proposed as the position at which the average deformation point converges regardless of weather or seasons. The authors believe that the method described herein is advantageous in that it could be used in a high-accuracy temperature-monitoring system and for predicting thermal deformation and buckling.