Shell oil way outlet flow velocity simulation prediction method

Abstract

The invention discloses a shell oil way outlet flow velocity simulation prediction method, which comprises the following steps of: establishing a fluid domain model and a grid model of a shell, analyzing and evaluating the advantages and disadvantages of an existing flushing process by using a finite element simulation calculation method, and obtaining the flow velocity, a cloud picture, a streamline diagram and other data of an outlet of a fluid domain on the basis of a simulation calculation result. And predicting the flow rate of the outlet of the regulator shell. According to the method, effective help can be provided for reasonably formulating the flushing process in the manufacturing process, and theoretical support is provided for engineering design of the aviation fuel accessory shell and formulating of the flushing process method in the manufacturing process.

Description

Technical Field

[0001] This invention relates to the field of aviation fuel accessory product casing processing and manufacturing, specifically to a method for simulating and predicting the flow velocity at the casing oil passage outlet. Background Technology

[0002] With the continuous development of the aviation industry, in order to meet the cleanliness requirements of aviation fuel accessory housings during the manufacturing process, high-flow-rate rinsing is required. However, there is a lack of effective means to evaluate whether the process parameters during rinsing are reasonable. Whether there is fluid flowing out of the housing's oil passage outlet and whether the fluid flow rate meets the requirements cannot be observed or measured, affecting the assessment of the housing's cleanliness level. High-flow-rate rinsing is an important work and process in the manufacturing of aviation fuel accessory housings, and it has a significant impact on the cleanliness of the parts.

[0003] High-flow flushing of aviation fuel accessory housings is carried out in a sealed chamber of the flushing equipment. Under a given flushing medium pressure, the oil circuit is flushed sequentially or alternately by a program control through a selected inlet. A certain flow rate at the outlet is an important indicator for measuring the flushing effect.

[0004] During high-flow flushing of the casing, firstly, the selection of technical parameters such as flushing pressure is based on experience, making it impossible to evaluate their rationality; secondly, during oil circuit flushing, due to concerns about the environmental pollution and human health risks of the flushing medium, the casing is placed in a sealed enclosure, making it difficult to detect the flow velocity at the outlet and assess the flushing effect. If the cleanliness after flushing does not meet requirements, repeated flushing is necessary, consuming a significant amount of time. Current flushing methods and conditions make it difficult to measure the outlet flow velocity. Therefore, the casing oil circuit outlet presents problems of being difficult to detect and predict. Summary of the Invention

[0005] To address the aforementioned issues, this invention provides a simulation prediction method for the outlet flow velocity of the shell oil circuit, effectively solving the problem of a lack of process analysis methods and means for flushing complex shell oil circuits.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: a method for simulating and predicting the outlet flow velocity of a shell oil circuit, specifically including the following steps:

[0007] Step 1: Use CAD software to draw a 3D model of the shell and extract the oil passages from the 3D model of the shell to create a 3D model of the oil passages.

[0008] Step 2, setting flushing process parameters, which include at least the inlet pressure of the flushing medium, the flushing inlet position, the number of inlets, the placement of the shell in the gravity field, and the blockage status of the oil inlet;

[0009] Step 3: Establish a mesh model and use finite element analysis software to divide the three-dimensional oil circuit model into finite element meshes;

[0010] Step 4: Perform fluid dynamics finite element simulation calculations on the oil circuit to obtain the oil circuit outlet velocity cloud map, and extract the outlet flow velocity from the cloud map;

[0011] Step 5: Determine if the outlet flow rate in Step 4 meets the requirements. If the outlet flow rate in Step 2 is determined to be the flushing process parameters, then the flushing process parameters mentioned in Step 2 are modified. Steps 3 and 4 are repeated sequentially until the outlet flow rate meets the requirements.

[0012] Furthermore, in step two, the inlet, outlet, and sealing port on the oil circuit model are marked and numbered, and the shell has at least two surfaces with the oil circuit outlet in six spatial directions.

[0013] Furthermore, in step two, the rinsing process parameters also include the physical property parameters of the rinsing medium, including density and dynamic viscosity.

[0014] Furthermore, in step two, the rinsing medium is aviation kerosene No. 3, with a density of 780 kg / m³. 3 The dynamic viscosity is 0.000975 kg / ms.

[0015] Furthermore, in step three, the surface mesh size of the mesh model ranges from 0.15 mm to 0.4 mm.

[0016] Compared with existing technologies, the beneficial effects of this invention are as follows: It utilizes simulation to address the lack of process analysis methods and techniques for high-flow-rate flushing of complex fuel accessory housings, improving the workflow and principles of process analysis and enhancing the reliability of cleanliness control in complex housings. To address the issue of ineffective evaluation of outlet flow velocity during flushing of aviation fuel accessory housings, a fluid domain model and mesh model of the housing are established. Finite element simulation is used to analyze and evaluate the advantages and disadvantages of existing flushing processes. The simulation results yield data such as outlet flow velocity, cloud maps, and streamline diagrams of the fluid domain, predicting the magnitude of the regulator housing outlet flow velocity. This method effectively assists in the rational formulation of flushing processes during manufacturing, providing theoretical support for the engineering design and manufacturing of flushing processes for aviation fuel accessory housings. It also has significant reference value for other manufacturing processes requiring flushing, and the research has strong application and promotion value. Attached Figure Description

[0017] The present invention will be further described below with reference to the accompanying drawings:

[0018] Figure 1 This is a flowchart of the present invention;

[0019] Figure 2 This is a model diagram of the shell in Example 1; Detailed Implementation

[0020] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

[0021] The technical solution of the present invention will be described in detail below with reference to specific embodiments. The following specific embodiments may be combined or substituted with each other according to the actual situation, and the same or similar concepts or processes may not be described again in some embodiments.

[0022] Example 1

[0023] like Figures 1 to 2 As shown, this invention provides a method for simulating and predicting the flow velocity at the outlet of the casing oil passage, specifically including the following steps:

[0024] Step 1: Use CAD software to draw a 3D model of the shell and extract the oil passages from the 3D model of the shell to create a 3D model of the oil passages.

[0025] Step two, setting flushing process parameters. The flushing process parameters include at least the inlet pressure of the flushing medium, the flushing inlet position, the number of inlets, the placement of the shell in the gravitational field, and the sealing status of the oil passage. Specifically, in order to facilitate calculation and identification, the inlets, outlets, and sealing ports on the oil passage model are marked and numbered, and the shell has oil passage outlets on at least two sides in six spatial directions. Setting oil passage outlets on multiple sides can ensure that the flushing medium flows through all channels.

[0026] The flushing process parameters also include the physical property parameters of the flushing medium, including density and dynamic viscosity. The flushing medium is aviation kerosene No. 3, with a density of 780 kg / m3 and a dynamic viscosity of 0.000975 kg / ms.

[0027] Step 3: Establish a mesh model and use finite element analysis software to divide the three-dimensional oil circuit model into finite element meshes; specifically, the mesh size of the mesh model ranges from 0.15mm to 0.4mm.

[0028] Step 4: Perform fluid dynamics finite element simulation calculations on the oil circuit to obtain the oil circuit outlet velocity cloud map, and extract the outlet flow velocity from the cloud map;

[0029] Step 5: Determine if the outlet flow rate in Step 4 meets the requirements. If the outlet flow rate in Step 2 is determined to be the rinsing process parameters, if the outlet flow rate in Step 4 does not meet the requirements, modify the rinsing process parameters mentioned in Step 2 and repeat Step 3 and Step 4 in sequence until the outlet flow rate meets the requirements. In this embodiment, the outlet flow rate is required to be between 3 and 4 m / s.

[0030] The aforementioned method employs simulation to address the lack of process analysis tools and methods for flushing complex fuel accessory housings, improving the workflow and principles of process analysis and enhancing the reliability of cleanliness control in complex housings. To investigate the problem of ineffective measurement of outlet flow velocity during flushing of aviation fuel accessory housings, a fluid domain model and mesh model of the housing are established. Finite element method (FEM) simulation is used to analyze and evaluate the advantages and disadvantages of existing flushing processes. The simulation results yield data such as outlet flow velocity, contour maps, and streamline diagrams of the fluid domain, predicting the magnitude of the outlet flow velocity of the regulator housing. This method effectively assists in the rational formulation of flushing processes during manufacturing, providing theoretical support for the engineering design and manufacturing of flushing processes for aviation fuel accessory housings. It also has significant reference value for other manufacturing processes requiring flushing, and the research has strong application and promotion value.

[0031] In addition to the preferred embodiments described above, the present invention has other embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection claimed by the present invention.

Claims

1. A method for simulating and predicting the flow velocity at the outlet of an oil passage in a casing, characterized in that, Specifically, the steps include the following: Step 1: Use CAD software to draw a 3D model of the shell and extract the oil passages from the 3D model of the shell to create a 3D model of the oil passages. Step 2, setting flushing process parameters, which include at least the flushing inlet pressure, flushing inlet position, number of inlets, placement of the casing in the gravity field, and the sealing status of the oil passage. Step 3: Establish a mesh model and use finite element analysis software to divide the three-dimensional oil circuit model into finite element meshes; Step 4: Perform fluid dynamics finite element simulation calculations on the oil circuit to obtain the oil circuit outlet velocity cloud map, and extract the outlet flow velocity from the cloud map; Step 5: Determine if the outlet flow rate in Step 4 meets the requirements. If the outlet flow rate in Step 2 is determined to be the flushing process parameters, then the flushing process parameters mentioned in Step 2 are modified. Steps 3 and 4 are repeated sequentially until the outlet flow rate meets the requirements.

2. The method for simulating and predicting the outlet flow velocity of a shell oil circuit according to claim 1, characterized in that, In step two, the inlet, outlet and sealing port on the oil circuit model are marked and numbered, and the shell has at least two surfaces with the oil circuit outlet in six spatial directions.

3. The method for simulating and predicting the outlet flow velocity of a shell oil circuit according to claim 2, characterized in that, In step two, the rinsing process parameters also include the physical property parameters of the rinsing medium, including the density and dynamic viscosity of the rinsing medium.

4. The method for simulating and predicting the outlet flow velocity of the shell oil circuit according to claim 3, characterized in that, In step two, the rinsing medium is aviation kerosene No. 3, with a density of 780 kg / m³. 3 The dynamic viscosity is 0.000975 kg / ms.

5. The method for simulating and predicting the outlet flow velocity of the shell oil circuit according to claim 4, characterized in that, In step three, the surface mesh size of the mesh model ranges from 0.15 mm to 0.4 mm.

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