In order to definite the dynamic properties of full mounted converter tilting mechaism and analysis the mechanical condition of the main transmission parts in the operation process, the dynamics behavior of the converter tilting mechaism was analysied. Vibration properties of the mechaism was analyzed by using mode shapes analysis method in no external force and an external force two circumstances, tilting mechanism can be constructed 11 degree of freedom force modal, and it can further simplify 3 degrees of freedom force modal. It can find resonant frequency of tilting mechaism through the analysis of the torsion vibration angular displacement and the torsion torque. It can provide scientific basis for equipment maintenance of technical personnels.
To improve the working reliability of the high-speed gears of full mounted converter tilting device and to avoid resonance during working, the dynamics modeling of the high-speed gears is concerned. The three-dimensional model of the high-speed gears is established by using Pro/E, and the vibration modal analysis under definition contact and not definition contact are processed by using Ansys. The natural frequency and natural vibration mode of lower order vibration are obtained by the analysis, and it can be found that there has essential difference between definition contact and not definition contact. This study can provide theory basis for the normal operation of the tilting device.
A reliability risk assessment model based on fuzzy FMEA was presented by using fuzzy comprehensive evaluation. Fuzzy matrixes were constructed according to the investigation data, in which occurrence probability ranking, effect severity ranking and detection difficulty ranking are all weighted analyzed. A fuzzy hierarchy analysis method was used to obtain the weight of each influence factor. In the model, the potential fault modes and the reasons can be analyzed and the preventive measures can be taken in prevention stage to avoid finding the problems after the products are put into production and market. It will provide new ideas and new methods to improve the operation security of the engine, to prevent and forecast failure, and to estimate and control the risk.
Fuzzy risk priority numbers (FRPNs) were proposed for assessment of the probabilistic risk by synthetically using fuzzy set theory, failure mode and effect analysis. The priority rank of failure modes is evaluated by fuzzy risk priority number in the fuzzy failure mode and effect analysis, where occurrence probability ranking, effect severity ranking and detection difficulty ranking are all fuzzy weighted geometric mean, and the FRPN can be computed using alpha-level set and optimization model. An engine example was provided to illustrate the proposed fuzzy FMEA and the detailed computational process of the FRPNs.
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