8 results about "Nozzle geometry" patented technology

The invention belongs to the technical field of nozzle atomization performance optimization, and discloses a pressure swirl nozzle atomization performance optimization method based on an NSWOA algorithm, and the method comprises the following steps: designing a nozzle structure, carrying out the numerical simulation according to the geometric parameters of the nozzle structure, obtaining the atomization performance of the nozzle, and carrying out the optimization if the requirements are not met; a Plackett-Burman screening test is utilized to screen significant factors influencing the atomization performance of the nozzle, Latin hypercube sampling is utilized to sample geometric parameters to be optimized to obtain a sample space, an RBF neural network is utilized to predict to obtain a mapping relation between the geometric parameters of the nozzle and the atomization performance, and an NSWOA algorithm is utilized to optimize the atomization performance of the nozzle. And obtaining a uniformly distributed Pareto solution set, selecting an optimal solution to carry out numerical simulation, and if the atomization performance of the optimized nozzle is better, completing optimization. Through numerical simulation, algorithm screening and optimization, the atomization performance of the nozzle can be accurately optimized, big data analysis is utilized, the optimization efficiency can be improved, and the optimization cost can be reduced.

This invention relates to a deep learning-based method for predicting the flow field inside a nozzle, comprising: constructing a variable-configuration nozzle geometry library based on parametric curves and performing CFD calculations to generate a flow field dataset; performing dual-channel encoding processing of the geometric boundaries using the signed distance field (SDF) and the identifier matrix (IM); constructing a deep learning model based on a U-Net backbone network with an embedded dual-ended convolutional compression excitation (DE-ConvSE) adapter; pre-training the model using a basic dataset; employing an incremental learning strategy for new nozzle configurations, freezing the backbone network parameters and fine-tuning only the adapter module; and finally, using the trained model to achieve real-time prediction of the velocity, temperature, and pressure fields inside the nozzle. This invention can significantly reduce CFD simulation computation time, achieve rapid and high-precision prediction of the nozzle flow field, and provide effective technical support for nozzle design optimization.

The embodiment of the present disclosure provides a kind of pre-rotation gas supply system temperature drop measurement method, device and equipment.It includes: determining the total temperature of the gas flow of nozzle inlet;Determine the static pressure and total pressure of nozzle outlet;According to the total temperature of the gas flow, static pressure and total pressure, determine the gas flow velocity of nozzle outlet;Determine the relevant parameters of nozzle, wherein the relevant parameters include nozzle geometric deflection angle, nozzle outlet center radius and gas supply hole outlet center radius;According to the relevant parameters and the gas flow velocity of nozzle outlet, determine the temperature drop of pre-rotation gas supply system.No need to arrange measuring point on turbine disk, reduce processing cost, simplify design process.Directly through pressure tube, nozzle outlet pressure signal is transmitted to pressure scanning valve, parameter transmission is more convenient and stable.Directly in nozzle outlet, pressure tube can be arranged, and more experimental working condition requirements can be adapted.

The invention provides a circular water film-based low-pressure nozzle impact performance optimization method, which comprises the following steps of: establishing a coordinate system by taking a jet flow impact point as an original point, and selecting at least four parameters from geometric parameter vectors of a nozzle to construct a joint objective function, the combined target value adopts a weighted product form of stagnation point pressure, water film area and jet flow hitting power; constructing a test matrix, changing at least four geometric parameters at the same time, and obtaining multi-dimensional response data of the joint target value through numerical simulation; building an explicit second-order model of the joint target value by using multivariate nonlinear regression; performing global optimization by adopting a genetic algorithm or a response surface method, and outputting an optimal geometric parameter combination which maximizes the joint target value; the improved nozzle is obtained through machining according to the optimal geometric parameter combination; and if the hitting power coefficient of the improved nozzle is greater than that of the original nozzle, the optimization is completed. According to the method, parallel search can be carried out in a multi-dimensional parameter space, and the optimization period is remarkably shortened.

A fire extinguishing system nozzle includes a housing. Two or more orifices in the housing emit an extinguishing agent. Each of these orifices emits the extinguishing agent in the form of a rotating vortex.

The invention relates to the field of numerical simulation, and discloses a nozzle optimization method of a urea direct injection system for waste heat boiler denitration, which is used for improving the denitration efficiency and the operation stability of the urea direct injection system and reducing the ammonia escape rate and the operation cost. Comprising the following steps: establishing a three-dimensional parameterized CFD nozzle model based on parameters such as a waste heat boiler flue structure, generating a plurality of distribution diagrams, screening out a candidate scheme set of which the mixing uniformity reaches the standard, processing and manufacturing a replaceable nozzle physical sample unit according to parameters of the candidate scheme set, and measuring a denitration efficiency value and an ammonia escape rate value of each model machine under an actual operation condition. And performing correlation analysis on various distribution diagrams, denitration efficiency values and ammonia escape rate values, delimiting an effective mixing zone boundary based on a flue gas flow velocity field and the like, and outputting optimal nozzle geometric dimension parameters meeting engineering application. According to the method, through multi-dimensional modeling, calculation, experiment and correlation analysis, the optimal nozzle geometric dimension parameters meeting engineering application are accurately output, the denitration efficiency is effectively improved, and the ammonia escape rate is reduced.

Techniques for determining a damping rate of unforced oscillations of a meniscus are disclosed. An example method includes receiving input describing a shape of a container, physical parameters of a liquid inside the container, and an equilibrium shape of the meniscus. The method also includes generating a mesh conforming to the shape of the container and generating a discrete version of a continuous eigenvalue problem based on this mesh. The method also includes computing, at appropriate mesh nodes, values for pressure, velocity components, and meniscus surface deformation corresponding to a suitable number of least-damped late-time oscillation modes of the liquid and computing an angular frequency and damping rate of these least-damped late-time oscillation modes from the discrete version of the continuous eigenvalue problem. The method also includes identifying the mode that has the lowest damping rate and computing a liquid relaxation time by inverting the damping rate of the identified mode.