Strength analysis of capacitor energy storage cabinet of monorail elevated train

Based on the actual parameters of the capacitor energy storage cabinet on the top of the monorail train, built the cabinet’s finite element model. Then, according to EN 12663-1, set the calibration conditions and fatigue working conditions. Carried out the simulation calculation under different conditions, respectively. The calculation results under the static calibration conditions show that the maximum equivalent stress of each node on the model is smaller than the allowable stress under all working conditions. Therefore, the static strength of the cabinet meets the design requirements. Plotted Goodman fatigue limit diagrams of the cabinet’s base metal and weld and modified them in the Smith form. Then plotted the average stress and stress amplitude under fatigue working conditions in the corresponding scatter diagram. The diagram s show that all points are located within the permitted area. The results show that the fatigue strength of the cabinet meets the requirements of design and use.

On a static and dynamic calibration of thermochromic liquid crystals

The paper deals with a static and dynamic calibration of selected wide-range thermochromic liquid crystals (TLC - SolarDust 24C), which are very easy to ingest and can provide accurate information on the temperature distribution on different surfaces. Static calibration problems, such as TLC illumination angle or illumination intensity, are solved and conclusions are drawn for the application of such a measurement. Dynamic experiments also indicate a certain time delay (around 50 ms) of the applied TLC measurement layer, which is very important to know for dynamic experimental methods, but the error and inaccuracy of the experiment is too high to draw conclusions.

Understanding the Mechanical Biases of Tipping-Bucket Rain Gauges: A Semi-Analytical Calibration Approach

Tipping bucket rain gauges (TBR) are widely used worldwide because they are simple, cheap, and have low-energy consumption. However, their main disadvantage lies in measurement errors, such as those caused by rainfall intensity (RI) variation, which results in data underestimation, especially during extreme rainfall events. This work aims to understand these types of errors, identifying some of their causes through an analysis of water behavior and its effect on the TBR mechanism when RI increases. The mechanical biases of TBR effects on data were studied using 13 years of data measured at 10 TBRs in a mountain basin, and two semi-analytical approaches based on the TBR mechanism response to RI have been proposed, validated in the laboratory, and contrasted with a simple linear regression dynamic calibration and a static calibration through a root-mean-square error analysis in two different TBR models. Two main sources of underestimation were identified: one due to the cumulative surplus during the tipping movement and the other due to the surplus water contributed by the critical drop. Moreover, a random variation, not related to RI, was also observed, and three regions in the calibration curve were identified. Proposed calibration methods have proved to be an efficient alternative for TBR calibration, reducing data error by more than 50% in contrast with traditional static calibration.

Influence of Technical Condition of Control and Measurement Equipment on Calibration Results

In the paper there are analyzed the procedures used in the process of calibrating concerning control and measurement equipment. There was assumed the mathematical model of the measuring instrument which was then analyzed. The factors that result from the imperfect technical condition of the control and measurement equipment and may have an impact on the measurement results were also analyzed. Models of errors’ models were assumed that may affect the calibration results. The static calibration of control and measurement equipment was analyzed. The results of numerical simulations concerning the static calibration of control and measurement equipment were presented, taking into account the linear and non-linear processing functions of the measurement equipment. The results of computations obtained for various models of processing functions were compared with each other and conclusions were drawn regarding the accuracy of the mapping of the measured quantity.

Analysis on influence of static calibration on the axle-group weigh-in-motion system accuracy

The axle-group weigh-in-motion system has two functions: static weighing and dynamic weighing. According to the weighing model, the accuracy of dynamic weighing is affected by the static performance. This paper analyses the size of various factors affecting the static performance, such as sensor tilt installation, platform deformation, platform tilt installation, and these errors will lead to sensor swing, bearing head tilt, gravity line of action and sensor axis direction is not consistent, thus affecting the static weighing accuracy. However static calibration is the best way to reduce or even eliminate the above errors. The dynamic truck scale of different manufacturers with or without static calibration is used in the test process. The results show that the dynamic performance index can meet the requirements only after the static calibration is used.