A method for designing a planetary gearset meeting one or more design targets is described. Initially, a size and ratio of the planetary gear set, and the number of planet gears for the planetary gearset is specified. All valid combinations of tooth numbers and planet numbers that satisfy one or more constraints are then calculated. From these, a starting combination is selected and a value for a design target for the gear set is calculated. One or more of the macro-geometry parameters are modified, and the macrogeometry parameters are chosen such that the positive effects of one macrogeometry parameter on the design target counteract any negative effects of another macrogeometry parameter. In this way, a design for planetary gearset meeting the one or more design targets is produced. Also disclosed is a method additionally calculating a sideband distribution resulting from the selected combination. The side band distribution is compared with a design target for sideband distribution and parameters are varied as necessary to achieve the required design.

A vibration and noise reduction analysis device for a panel part of an automobile is configured to reduce vibration and noise of the panel part caused by vibration from a vibration source and a noise source in the automobile and identify a portion at which a weight of an automotive body of the automobile can be reduced. The vibration and noise reduction analysis device includes: an automotive body model acquisition unit; a sectioned region setting unit; a vibration and noise reduction target panel part model setting unit; a vibration mode/equivalent radiation power peak frequency selection unit; a sectioned region weight change peak frequency acquisition unit; a sectioned region weight contribution degree calculation unit; and a vibration and noise reduction and weight reduction portion identification unit.

Method and system for global stabilization control of a hypersonic vehicle. The method can include constructing a longitudinal dynamic model of a non-minimum phase hypersonic vehicle; translating a non-zero equilibrium point of the hypersonic vehicle to the origin of coordinates by transformation of coordinates to transform the longitudinal dynamic model, where the transformed longitudinal dynamic model includes an output dynamic model and an internal dynamic model; performing variable decomposition on the transformed longitudinal dynamic model by state decomposition and constructing an auxiliary system model using decomposed variables, where the auxiliary system model includes output dynamics and internal dynamics; and determining a control law based on a feedback linearization theory according to the output dynamics and realizing the global stabilization control of the hypersonic vehicle with the control law. The present disclosure enables the global stabilization control of a non-minimum phase hypersonic vehicle.

A wind noise analyzer includes: an unsteady computational fluid dynamics calculation unit configured to execute an unsteady computational fluid dynamics simulation involving moving a structure model modeled on a structure, and calculate, for each of spatial nodes, an average flow velocity and an average vorticity over a predetermined time in a flow field inside the predetermined region, and then calculate, for each of the spatial nodes, a value based on an amplitude of a turbulent flow velocity inside the predetermined region, in an angular frequency band of interest; and a pressure source density calculation unit configured to calculate, based on the average flow velocity, the average vorticity, and the value based on the amplitude of the turbulent flow velocity, a pressure source density.

A non-transitory computer-readable recording medium stores therein an inference program that causes a computer to execute a process including inferring, by inputting new input data to an approximate model that is obtained by conducting practice by using training data in which a relationship between input data and output data of a numerical simulation is defined, output data that is associated with the new input data, determining whether or not accuracy of an inference result obtained from the approximate model satisfies a condition, correcting the inference result when the accuracy of the inference result obtained from the approximate model does not satisfy the condition, and outputting the corrected inference result.

The present invention discloses a boundary layer mesh generation method based on an anisotropic volume harmonic field, and belongs to the technical filed of computational fluid dynamics, numerical simulation, computer aided design and manufacturing. First, a boundary surface mesh of the Minkowski sum is used to construct a tetrahedral background mesh required for solving volume harmonic fields, then an anisotropic tensor is automatically added according to the actual demand, the anisotropic volume harmonic field is calculated under the control of the tensor, and finally, the advancing direction required by the boundary layer mesh is generated in combination with special weighted Laplace smoothing. The strategy of constructing a tetrahedral background mesh based on the boundary surface mesh of the Minkowski sum of the present invention reduces the calculation time and the memory waste, controllably and locally adjusts the thickness of the boundary layer mesh by automatically adding an anisotropic tensor, optimizes the advancing direction in combination with special weighted Laplace smoothing, and significantly improves the generation quality of the boundary layer mesh.

A multiple fluid model tool for training and/or refining of fluid models using disparate and/or aggregated machine data is presented. For example, a system includes a modeling component, a machine learning component, a three-dimensional design component and a data collection component. The modeling component generates a three-dimensional model of a mechanical device based on a library of stored data elements. The machine learning component predicts one or more characteristics of the mechanical device based on a machine learning process associated with the three-dimensional model. The three-dimensional design component provides a three-dimensional design environment associated with the three-dimensional model. The three-dimensional design environment renders physics modeling data of the mechanical device on the three-dimensional model based on the one or more characteristics of the mechanical device. The data collection component collects machine data via a communication network to update the three-dimensional model associated with the three-dimensional design environment.

A method for creating a virtual three-dimensional structural model of a body includes ascertaining a shell geometry and a basic volume from a geometric model of the body; creating a numerical model of the body from the shell geometry and/or the basic volume; acting upon the numerical model with a variable and establishing a target property of the body from the numerical model acted upon by the variable; creating a structural model that defines an actual property of the body; and iteratively optimizing the structural model to align the actual property with the target property. During the optimization, adapting a mechanical, thermal, and/or aerodynamic actual property of the body to a mechanical, thermal, and/or aerodynamic target property of the body by modifying at least one parameter of the structural model. A manufacturing method and a device perform this method.

A modeling method for an integrated intake/exhaust/engine aero propulsion system with multiple geometric parameters adjustable includes the following steps: establishing an inlet and nozzle model by quasi one-dimensional aerodynamic thermodynamics and the method for solving the excitation system on the basis of a traditional engine component-level model; adding an inlet and engine flow balance equation and an engine and nozzle flow balance equation to the engine model, and establishing a propulsion system model based on the iteration method; and integrating the design of geometric parameters of an inlet and a nozzle into the model to realize the design of structure sizes of an intake/exhaust system and the simultaneous adjustment of multiple parameters.

The present invention provides an iterative joint estimation method of vehicle mass and road gradient based on MMRLS and SH-STF, which includes the following steps: establishment of a dynamic model considering steering, MMRLS/SH-STF iterative joint estimation algorithm architecture, improved slope estimation algorithm based on SH-STF. It is an iterative joint estimation method of vehicle mass and road slope based on MMRLS and SH-STF, which is designed reasonably, and the slow-variation characteristics of vehicle mass and the time-varying characteristics of road gradient are analyzed. According to the characteristics of gradual change and time change, based on the longitudinal dynamics model of the vehicle and the steering single-track model, the system identification algorithm of multi-model fusion recursive least squares is used to calculate the vehicle mass, and the noise adaptive strong tracking based on extended Kalman filter is used.