Abstract.A simple yet accurate model is developed for the dynamical simulation of profile-modified gears, considering the effects of progressive tooth engagement, stiffness, elastohydrodynamic lubricant film formation and hysteresis. The real path of contact, stiffness and elastohydrodynamic lubricant film thickness are calculated for various operating conditions and the results are input to the dynamical simulation, resulting in a prediction of the dynamic transmission error.
In this paper a method is developed and described for the determination in real-time of the crack length at the root of a three-dimensional gear tooth of given thickness, based on the electrical potential difference method. Multi-Electrostatic analysis is carried out on multiparametric gear solid models using finite elements, by inserting direct current from a pair of pre-attached electrodes and measuring the potential field at selected locations via other dedicated pre-attached electrode pairs and the results are correlated with the crack length. This analysis is used to determine the sensitivity of the electric sensing layout to size and other parameters, including the width of a tooth, the module, and the mounting position of the sensing electrode pairs.
Abstract. Variable stiffness of the gear tooth mesh for a pair of spur gears is computed using an accurate lightweight mathematical formulation. This is used to simulate gear dynamic behavior. Gear eigenfrequencies are calculated for the SDOF system and correlated with gear physical properties and the effect of stiffness variation during a mesh cycle is studied.
The goal of the present
study is to develop an optimized skeletal
chemical kinetic mechanism for methane combustion, for conditions
relevant to dual-fuel marine engines. To this end, a systematic approach
is developed, consisting of the following steps: (a) assessment of
three widely used detailed mechanisms, by comparing simulation results
against three sets of indirect experimental data pertinent to methane
combustion, (b) sensitivity analysis, with identification of important
reactions (species), (c) selection of one detailed mechanism and production
of a skeletal mechanism by means of the simulation error minimization
connectivity method, (d) uncertainty analysis of the rate constants
of important reactions, and (e) optimization of the skeletal mechanism
for the rate constant parameters of the important reactions. The resulting
optimized skeletal mechanism, consisting of 28 species and 119 elementary
reactions, accurately reproduces experimental data in a wide range
of conditions and is an important development for computational fluid
dynamics studies in dual-fuel marine engines.
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