Method for optimizing a catalytic converter

Abstract

This application discloses an optimization method for a catalytic converter, belonging to the field of vehicle technology. The method includes: determining the correspondence between second preset nodes of the second-face mesh of the inlet end face of the catalytic converter's three-dimensional model and first preset nodes of the first-face mesh corresponding to the outlet end face of the turbocharger; using the flow field parameters of the first preset node corresponding to each second preset node as the boundary conditions of the corresponding second preset node, performing flow field simulation analysis on multiple second-body meshes to obtain flow field analysis data of the catalytic converter; and optimizing the catalytic converter based on the flow field analysis data. Using this application improves the accuracy of the flow field analysis data, and using this flow field analysis data to optimize the catalytic converter can improve the overall performance of the catalytic converter.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of vehicles, in particular to a catalytic converter optimization method. BACKGROUND

[0002] The catalytic converter is an important part of the vehicle exhaust system, which uses the action of the catalyst to purify the exhaust gas discharged by the engine and converts the toxic gas in the exhaust gas into harmless gas to the human body. Generally, the inlet of the catalytic converter is connected in communication with the outlet of the turbocharger in the turbocharged engine, and the outlet of the catalytic converter is connected in communication with the exhaust gas discharge pipeline, so that the exhaust gas discharged in the turbocharger can flow into the exhaust gas discharge pipeline after being purified by the catalytic converter.

[0003] Generally, people obtain the corresponding flow field analysis data of the catalytic converter by simulating the mechanical simulation of the catalytic converter, and then optimize the catalytic converter through the flow field analysis data. The simulation analysis method used is: using a sensor to obtain the flow field parameters at the center position of the outlet of the turbocharger, and then taking the flow field parameters as the boundary conditions of multiple preset nodes at the inlet of the catalytic converter, and then simulating and analyzing the catalytic converter.

[0004] However, in the above simulation analysis process, the boundary conditions of the multiple preset nodes at the inlet of the catalytic converter are the same, which is quite different from the actual situation. In actual use, the flow field parameters at each preset node are usually different, and the above simulation analysis process does not reflect this difference, thereby reducing the accuracy of the flow field analysis data of the catalytic converter. SUMMARY

[0005] The catalytic converter optimization method provided by the embodiments of the present application can solve the technical problems existing in the related art, and the technical scheme of the catalytic converter optimization method is as follows:

[0006] The catalytic converter optimization method provided by the embodiments of the present application is applied to a catalytic converter, and the catalytic converter includes an inlet cone, a carrier, an outlet cone and an outlet pipeline, the first end of the inlet cone is connected in communication with the first end of the carrier, the second end of the carrier is connected in communication with the first end of the outlet cone, and the second end of the outlet cone is connected in communication with the first end of the outlet pipeline.

[0007] The method comprises:

[0008] acquire a three-dimensional model of a catalytic converter and flow field analysis data corresponding to an outlet end face of a turbocharger, wherein the outlet end face of the turbocharger is a circular plane corresponding to an inner side wall of an outlet end of the turbocharger, and the flow field analysis data corresponding to the outlet end face of the turbocharger includes flow field parameters of first preset nodes of each first face grid corresponding to the outlet end face of the turbocharger;

[0009] perform face grid division on an inlet end face, an outlet end face and an inner side wall of the three-dimensional model of the catalytic converter to obtain a plurality of second face grids corresponding to the inlet end face of the three-dimensional model of the catalytic converter, a plurality of third face grids corresponding to the outlet end face of the three-dimensional model of the catalytic converter and a plurality of fourth face grids corresponding to the inner side wall of the three-dimensional model of the catalytic converter, wherein the inlet end face of the three-dimensional model of the catalytic converter is a circular plane corresponding to an inner side wall of a second end of an inlet cone in the three-dimensional model of the catalytic converter, the outlet end face of the three-dimensional model of the catalytic converter is a circular plane corresponding to an inner side wall of a second end of an outlet pipe in the three-dimensional model of the catalytic converter, and the inner side wall of the three-dimensional model of the catalytic converter includes inner side walls of the inlet cone, the carrier, the outlet cone and the outlet pipe;

[0010] perform volume grid division on the three-dimensional model of the catalytic converter based on the plurality of second face grids, the plurality of third face grids and the plurality of fourth face grids to obtain a plurality of second volume grids corresponding to the three-dimensional model of the catalytic converter;

[0011] determine a corresponding relationship between second preset nodes of a second face grid of the inlet end face of the three-dimensional model of the catalytic converter and first preset nodes of a first face grid corresponding to the outlet end face of the turbocharger;

[0012] respectively take flow field parameters of the first preset nodes corresponding to each second preset node as boundary conditions of the corresponding second preset node, perform flow field simulation analysis on the plurality of second volume grids corresponding to the three-dimensional model of the catalytic converter based on a flow field simulation algorithm and the boundary conditions of the plurality of second preset nodes to obtain flow field analysis data of the three-dimensional model of the catalytic converter;

[0013] perform optimization processing on the catalytic converter based on the flow field analysis data of the three-dimensional model of the catalytic converter.

[0014] In a possible implementation, the first preset nodes of the first face grid include at least one of a center point of the first face grid and a vertex of the first face grid.

[0015] In a possible implementation, the flow field parameter of the first preset node includes at least one of a flow rate, a temperature, and a pressure of the first preset node.

[0016] In a possible implementation, the inlet end face of the three-dimensional model of the catalytic converter is meshed to obtain a plurality of second face meshes corresponding to the inlet end face of the three-dimensional model of the catalytic converter.

[0017] When the size of the inlet end face of the three-dimensional model of the catalytic converter is the same as the size of the outlet end face of the turbocharger, the plurality of first face meshes of the outlet end face of the turbocharger are copied as the plurality of second face meshes corresponding to the inlet end face of the three-dimensional model of the catalytic converter.

[0018] In a possible implementation, the correspondence between the second preset node of the second face mesh of the inlet end face of the three-dimensional model of the catalytic converter and the first preset node of the first face mesh corresponding to the outlet end face of the turbocharger is determined, including:

[0019] When the outlet end face of the turbocharger is coplanar with and concentrically arranged with the inlet end face of the three-dimensional model of the catalytic converter, for each second preset node, the first preset node closest to the second preset node is determined as the first preset node corresponding to the second preset node.

[0020] In a possible implementation, the flow field analysis data of the three-dimensional model of the catalytic converter includes a flow uniformity coefficient corresponding to the inlet end face of the carrier of the three-dimensional model of the catalytic converter, where the inlet end face of the carrier is a circular plane corresponding to an inner side wall of a first end of the carrier.

[0021] The optimization processing of the catalytic converter based on the flow field analysis data of the three-dimensional model of the catalytic converter includes:

[0022] The bend angle of the inlet cone of the catalytic converter is optimized based on the flow uniformity coefficient corresponding to the inlet end face of the carrier and a uniformity coefficient threshold.

[0023] In a possible implementation, the uniformity coefficient threshold is 0.85.

[0024] In a possible implementation, the flow field analysis data of the three-dimensional model of the catalytic converter includes flow rates of a plurality of second volume meshes corresponding to the inlet end face of the carrier of the three-dimensional model of the catalytic converter, where the inlet end face of the carrier is a circular plane corresponding to an inner side wall of a first end of the carrier.

[0025] The flow field analysis data based on the three-dimensional model of the catalytic converter is used to optimize the catalytic converter, including:

[0026] The bend angle of the inlet cone of the catalytic converter is optimized based on the flow velocity of the plurality of second volume meshes corresponding to the inlet end face of the carrier and a maximum flow velocity threshold.

[0027] In a possible implementation, the maximum flow velocity threshold is 100 m / s.

[0028] In a possible implementation, the flow field analysis data of the three-dimensional model of the catalytic converter includes pressure loss of the three-dimensional model of the catalytic converter.

[0029] The flow field analysis data based on the three-dimensional model of the catalytic converter is used to optimize the catalytic converter, including:

[0030] The bend angle of the inlet cone of the catalytic converter and / or the diameter of the inner side wall of the catalytic converter is optimized based on the pressure loss of the three-dimensional model of the catalytic converter.

[0031] The embodiments of the present application have at least the following beneficial effects:

[0032] The embodiments of the present application provide a method for optimizing a catalytic converter. In the method, flow field analysis data corresponding to an outlet end face of a turbocharger is obtained first, then a face mesh is divided on an inlet end face, an outlet end face and an inner side wall of a three-dimensional model of the catalytic converter to obtain a second face mesh corresponding to the inlet end face, a third face mesh corresponding to the outlet end face and a fourth face mesh corresponding to the inner side wall, then a volume mesh is divided on the three-dimensional model of the catalytic converter based on the second face mesh, the third face mesh and the fourth face mesh to obtain a plurality of second volume meshes corresponding to the three-dimensional model of the catalytic converter, then a corresponding relationship between a second preset node of the second face mesh of the inlet end face of the catalytic converter and a first preset node of a first face mesh corresponding to the outlet end face of the turbocharger is determined, then based on the corresponding relationship, a flow field parameter of the corresponding first preset node is taken as a boundary condition of the corresponding second preset node, and based on the boundary condition and a flow field simulation algorithm, flow field simulation analysis is performed on the plurality of second volume meshes corresponding to the three-dimensional model of the catalytic converter, so as to obtain flow field analysis data of the three-dimensional model of the catalytic converter. According to the present application, the boundary condition of each second preset node is obtained by one-to-one correspondence assignment according to the flow field parameter of each first preset node of the outlet end face of the turbocharger, so that the boundary condition of the second preset node is more in line with the actual situation, and the accuracy of the obtained flow field analysis data of the catalytic converter is improved, and the overall performance of the catalytic converter 1 can be improved by using the flow field analysis data to optimize the catalytic converter.

[0033] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and do not limit this application. Attached Figure Description

[0034] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0035] Figure 1 This is a schematic diagram of the structure of a catalytic converter shown in an embodiment of this application;

[0036] Figure 2 This is a schematic flowchart illustrating an optimization method for a catalytic converter according to an embodiment of this application;

[0037] Figure 3 This is a schematic diagram of the outlet end of a turbocharger as shown in an embodiment of this application;

[0038] Figure 4 This is a schematic diagram of the flow field analysis at the outlet end face of a turbocharger, as shown in an embodiment of this application.

[0039] Figure 5 This is a schematic diagram of the flow field analysis of a catalytic converter shown in an embodiment of this application.

[0040] Legend

[0041] 1. Catalytic converter; 2. Turbocharger;

[0042] 11. Inlet cone; 12. Carrier; 13. Outlet cone; 14. Outlet pipe. Detailed Implementation

[0043] To make the objectives, technical solutions, and advantages of this application clearer, the embodiments of this application will be described in further detail below with reference to the accompanying drawings.

[0044] This application provides an optimization method for a catalytic converter, such as... Figure 1 As shown, the optimization method of the catalytic converter can be applied to the catalytic converter 1. The structure of the catalytic converter 1 can be: the catalytic converter 1 includes an inlet cone 11, a support 12, an outlet cone 13 and an outlet pipe 14, and these components all include opposite ends.

[0045] The first end of the inlet cone 11 is connected with the carrier 12, and the second end of the inlet cone 11 is used to be connected with the outlet end of the turbocharger 2, so that the exhaust gas generated by the engine can enter the catalytic converter 1 for purification through the outlet of the turbocharger 2, the second end of the inlet cone 11. The second end of the outlet cone 13 is connected with the first end of the outlet pipe 14, and the second end of the outlet pipe 14 is used to be connected with the exhaust gas discharge pipe, so that the exhaust gas purified through the catalytic converter 1 is discharged into the environment around the vehicle through the exhaust gas discharge pipe.

[0046] Next, referring to Figure 2 , the optimization method of the catalytic converter provided by the embodiment of the application is introduced:

[0047] 201, obtain the three-dimensional model of the catalytic converter 1 and the flow field analysis data corresponding to the outlet end surface of the turbocharger 2.

[0048] In implementation, the three-dimensional model of the catalytic converter 1 needs to be obtained, and similarly, the three-dimensional model includes the inlet cone 11, the carrier 12, the outlet cone 13 and the outlet pipe 14. It can be understood that the size of the three-dimensional model of the catalytic converter 1 needs to be the same as the size of the catalytic converter 1.

[0049] The flow field analysis data corresponding to the outlet end surface of the turbocharger 2 connected with the catalytic converter 1 also needs to be obtained.

[0050] The outlet end surface of the turbocharger 2 is a circular plane corresponding to the inner side wall of the outlet end of the turbocharger 2, that is, a circular plane through which gas can flow at the outlet end of the turbocharger 2. For example, Figure 3 As shown in the schematic diagram of the outlet end of a turbocharger 2, it includes the wall thickness 100 of the outlet end of the turbocharger 2 and the outlet end surface 200 of the turbocharger 2. The wall thickness 100 belongs to a part of the shell of the turbocharger 2, and the outlet end surface 200 is a circular plane surrounded by the shell of the turbocharger 2, through which the gas in the turbocharger 2 can flow.

[0051] The flow field analysis data corresponding to the outlet end surface of the turbocharger 2 includes the flow field parameters of the first preset node of each first face grid corresponding to the outlet end surface of the turbocharger 2, such as Figure 4 As shown, Figure 4 A flow field analysis schematic diagram of the outlet end surface of a turbocharger 2 is shown. In implementation, the flow field analysis data corresponding to the outlet end surface of the turbocharger 2 can be obtained by flow field simulation analysis on the three-dimensional model of the turbocharger 2, or can be obtained from the manufacturer of the turbocharger 2, or other legal and reasonable channels, and the embodiment of the application does not make any limitation.

[0052] The first face mesh can be any reasonable polygonal shape, for example, the first face mesh can be a triangle, or a quadrilateral, etc., and the embodiments of the present application do not limit this.

[0053] In a possible implementation, the first preset node of the first face mesh can include at least one of a center point of the first face mesh and a vertex of the first face mesh. For example, the first face mesh can be the center point, or the first preset node can be a vertex (for example, an uppermost vertex, or a left upper vertex) of each first face mesh in a preset direction, or the first preset node can include the center point and the vertex of the first face mesh, and the embodiments of the present application do not limit the specific content thereof.

[0054] In a possible implementation, the flow field parameter of the first preset node includes at least one of a flow velocity, a temperature, and a pressure of the first preset node. The flow velocity is a vector, having two dimensions of size and direction.

[0055] 202. The inlet end face, the outlet end face, and the inner side wall of the three-dimensional model of the catalytic converter 1 are subjected to face mesh division, to obtain a plurality of second face meshes corresponding to the inlet end face of the three-dimensional model of the catalytic converter 1, a plurality of third face meshes corresponding to the outlet end face of the three-dimensional model of the catalytic converter 1, and a plurality of fourth face meshes corresponding to the inner side wall of the three-dimensional model of the catalytic converter 1.

[0056] In implementation, the inlet end face, the outlet end face, and the inner side wall of the three-dimensional model of the catalytic converter 1 can be subjected to face mesh division respectively, to obtain a plurality of second face meshes corresponding to the inlet end face of the three-dimensional model of the catalytic converter 1, a plurality of third face meshes corresponding to the outlet end face of the three-dimensional model of the catalytic converter 1, and a plurality of fourth face meshes corresponding to the inner side wall of the three-dimensional model of the catalytic converter 1.

[0057] The shapes and sizes of the second face meshes, the third face meshes, and the fourth face meshes can be any reasonable polygonal shape and size, and the shapes and sizes of the first face meshes, the second face meshes, the third face meshes, and the fourth face meshes can be the same or different, and the embodiments of the present application do not limit this.

[0058] The inlet end face of the three-dimensional model of the catalytic converter 1 is a circular plane corresponding to the inner side wall of the second end of the inlet cone 11 in the three-dimensional model of the catalytic converter 1, the outlet end face of the three-dimensional model of the catalytic converter 1 is a circular plane corresponding to the inner side wall of the second end of the outlet pipe 14 in the three-dimensional model of the catalytic converter 1, and the inner side wall of the three-dimensional model of the catalytic converter 1 includes the inner side wall of the inlet cone 11, the inner side wall of the carrier 12, the inner side wall of the outlet cone 13, and the inner side wall of the outlet pipe 14.

[0059] In a possible implementation, when the inlet end face of the three-dimensional model of the catalytic converter 1 is meshed, if the inner diameter of the inlet end of the catalytic converter 1 in the actual product is equal to the inner diameter of the outlet end of the turbocharger 2, that is, the size (diameter) of the inlet end face of the three-dimensional model of the catalytic converter 1 is the same as the size (diameter) of the outlet end face of the turbocharger 2, the plurality of first face meshes of the outlet end face of the turbocharger 2 can be copied as a plurality of second face meshes corresponding to the inlet end face of the three-dimensional model of the catalytic converter 1.

[0060] In implementation, the distribution of the plurality of first face meshes of the outlet end face of the turbocharger 2 can be obtained first, and then copied and pasted to the inlet end face of the catalytic converter 1 to form the plurality of second face meshes on the inlet end face of the catalytic converter 1, that is, the shapes of the plurality of first face meshes and the plurality of second face meshes can be completely coincident.

[0061] 203. Based on the plurality of second face meshes, the plurality of third face meshes and the plurality of fourth face meshes, the three-dimensional model of the catalytic converter 1 is meshed to obtain a plurality of second volume meshes corresponding to the three-dimensional model of the catalytic converter 1.

[0062] In implementation, after the plurality of second volume meshes corresponding to the three-dimensional model of the catalytic converter 1 are established, the plurality of second volume meshes fill the interior of the three-dimensional model of the catalytic converter 1.

[0063] 204. Determine the correspondence between the second preset nodes of the second face meshes of the inlet end face of the three-dimensional model of the catalytic converter 1 and the first preset nodes of the first face meshes corresponding to the outlet end face of the turbocharger 2.

[0064] The second preset nodes of the second face meshes can include at least one of the center point and the vertex of the second face meshes, and the second preset nodes of the second face meshes can be set in the same manner as the first preset nodes of the first face meshes or in a different manner, which is not limited in the embodiments of the application.

[0065] In implementation, for each second preset node, the first preset node closest to the second preset node in position can be determined, and the correspondence between the two is stored, so as to obtain the first preset node corresponding to each second preset node.

[0066] For example, for the second preset node located at the center of the inlet end face of the three-dimensional model of the catalytic converter 1, the corresponding first preset node is also located at the center of the outlet end face of the turbocharger 2.

[0067] It can be understood that in the plurality of second preset nodes, the corresponding first preset nodes can be the same first preset node or completely different first preset nodes.

[0068] In a possible implementation, the method for determining the first preset node corresponding to the second preset node can be:

[0069] When the outlet end surface of the turbocharger 2 is arranged to be coplanar and concentric with the inlet end surface of the three-dimensional model of the catalytic converter 1, for each second preset node, the first preset node closest to the second preset node is determined as the first preset node corresponding to the second preset node.

[0070] In implementation, the outlet end surface of the turbocharger 2 is arranged to be coplanar and concentric with the inlet end surface of the three-dimensional model of the catalytic converter 1, and then for each second preset node, the distance between the second preset node and each first preset node is calculated, and the first preset node with the minimum distance is determined as the first preset node corresponding to the second preset node.

[0071] It can be understood that when there are two first preset nodes with the same distance and the minimum distance between the two first preset nodes and a second preset node, one of the first preset nodes can be randomly selected.

[0072] 205、respectively, the flow field parameter of each first preset node corresponding to the second preset node as the boundary condition of the corresponding second preset node, based on the flow field simulation algorithm and the boundary conditions of the plurality of second preset nodes, the plurality of second volume grids corresponding to the three-dimensional model of the catalytic converter 1 are analyzed to obtain the flow field analysis data of the three-dimensional model of the catalytic converter 1.

[0073] In implementation, for each second preset node, the flow field parameter of the first preset node corresponding thereto can be used to assign a value to the boundary condition thereof. For example, when the flow field parameter of the first preset node includes the flow rate, temperature and pressure of the first preset node, the flow field, temperature and pressure in the boundary condition of the second preset node corresponding to the first preset node can be assigned, that is, the flow field, temperature and pressure in the boundary condition of the second preset node are the same as the flow rate, temperature and pressure of the first preset node corresponding to the second preset node.

[0074] Based on the correspondence between the second preset node and the first preset node, the boundary condition of each second preset node is assigned a value, and then based on the boundary condition and the mechanical simulation algorithm, the plurality of second volume grids corresponding to the three-dimensional model of the catalytic converter 1 are analyzed to obtain the flow field analysis data of the three-dimensional model of the catalytic converter 1. As shown in Figure 5 , a flow field analysis diagram of a three-dimensional model of a catalytic converter 1 is shown. Figure 5

[0075] ​The flow field simulation algorithm can be any algorithm that can analyze a flow field, for example, can be any existing reasonable algorithm such as a CAE (Computer Aided Engineering) algorithm, and the embodiments of the present application do not limit this.

[0076] 206. Based on the flow field analysis data of the three-dimensional model of the catalytic converter 1, the catalytic converter 1 is optimized.

[0077] There are many methods for optimizing the catalytic converter 1 based on the flow field analysis data, and three of them are introduced as follows:

[0078] I. The flow field analysis of the three-dimensional model of the catalytic converter 1 includes the flow uniformity coefficient corresponding to the inlet end surface of the carrier 12 of the three-dimensional model of the catalytic converter 1. Based on the flow uniformity coefficient corresponding to the inlet end surface of the carrier 12 and the uniformity coefficient threshold, the bend angle of the inlet cone 11 of the catalytic converter 1 is optimized.

[0079] The inlet end surface of the carrier 12 is a circular plane corresponding to the inner side wall of the first end of the carrier 12.

[0080] In implementation, the staff can pre-set the uniformity coefficient threshold according to the actual situation, and the uniformity coefficient threshold can be any reasonable value, for example, it can be 0.85, etc., and the embodiments of the present application do not limit this.

[0081] After the flow field simulation analysis of the three-dimensional model of the catalytic converter 1, the flow uniformity coefficient of the inlet end surface of the carrier 12 can be obtained, that is, the distribution uniformity when the exhaust gas flows through the inlet end surface of the carrier 12. The higher the flow uniformity coefficient, the better the uniformity of the exhaust gas flowing in the carrier 12, and the better the purification effect of the exhaust gas in the carrier 12.

[0082] After determining the flow uniformity coefficient corresponding to the inlet end surface of the carrier 12, if its value is greater than or equal to the uniformity coefficient threshold, it means that the structure design of the catalytic converter 1 is reasonable and does not need to be optimized.

[0083] When the flow uniformity coefficient is less than the uniformity coefficient threshold, it means that the structure design of the catalytic converter 1 is not reasonable, at this time, the bend angle of the inlet cone 11 of the catalytic converter 1 can be adjusted to reduce the bend angle, thereby improving the flow uniformity coefficient of the inlet end surface of the carrier 12. After optimization, the operation of steps 201-206 can be performed again to simulate and analyze the performance again.

[0084] The flow field analysis data of the three-dimensional model of the catalytic converter 1 includes the flow velocities of the plurality of second body grids corresponding to the inlet end face of the carrier 12 of the three-dimensional model of the catalytic converter 1. Based on the flow velocities of the plurality of second body grids corresponding to the inlet end face of the carrier 12 and the maximum flow velocity threshold, the bending angle of the inlet cone 11 of the catalytic converter 1 is optimized.

[0085] In implementation, the staff can set the maximum flow velocity threshold in advance according to actual conditions. The maximum flow velocity threshold can be any reasonable value, for example, can be 100 m / s, etc., which is not limited in the embodiment of the present application.

[0086] After the flow field simulation analysis of the three-dimensional model of the catalytic converter 1, the flow velocities of each second body grid corresponding to the three-dimensional model of the catalytic converter 1 can be obtained, from which the flow velocities of the plurality of second body grids where the inlet end face of the carrier 12 is located are determined. If the flow velocity is too large, it may cause the exhaust gas not to be completely purified in the carrier 12, thereby reducing the purification degree of the exhaust gas.

[0087] Therefore, the flow velocity of each second body grid corresponding to the inlet end face of the carrier 12 is compared with the maximum flow velocity threshold. When the flow velocities of all the second body grids are less than the maximum flow velocity threshold, it indicates that the structure design of the catalytic converter 1 is reasonable, and it is not necessary to optimize it. When the flow velocity of the second body grid is greater than or equal to the maximum flow velocity threshold, the bending angle of the inlet cone 11 of the catalytic converter 1 can be adjusted to disperse the flow velocity at the second body grid as much as possible, so as to reduce the flow velocity.

[0088] The flow field analysis data of the three-dimensional model of the catalytic converter 1 includes the pressure loss of the three-dimensional model of the catalytic converter 1. Based on the pressure loss of the three-dimensional model of the catalytic converter 1, the bending angle of the inlet cone 11 of the catalytic converter 1 and / or the diameter of the inner side wall of the catalytic converter 1 is optimized.

[0089] In implementation, when the pressure loss of the catalytic converter 1 is too large, it will cause the output power of the engine to decrease, thereby affecting the overall performance of the vehicle. Therefore, the pressure loss of the catalytic converter 1 can be adjusted according to actual conditions.

[0090] If the pressure loss of the catalytic converter 1 is too large, the bending angle of the inlet cone 11 of the catalytic converter 1 can be reduced, or the diameter of the inner side wall of the catalytic converter 1 (including the diameters of all the inner side walls of the inlet cone 11, the carrier 12, the outlet cone 13 and the outlet duct 14) can be increased, or the above two methods are used together for optimization, etc., to reduce the pressure loss of the catalytic converter 1 and improve its overall performance.

[0091] Of course, based on the flow field analysis data of the three-dimensional model of the catalytic converter 1, the method for optimizing the catalytic converter 1 is not only the above three methods, but also any other reasonable optimization method, and the embodiments of the present application do not limit this.

[0092] The embodiments of the present application provide at least the following beneficial effects:

[0093] The embodiments of the present application provide a method for optimizing a catalytic converter, in which the flow field analysis data corresponding to the outlet end surface of the turbocharger 2 is obtained first, then the inlet end surface, the outlet end surface and the inner side wall of the three-dimensional model of the catalytic converter 1 are meshed to obtain the second face mesh corresponding to the inlet end surface, the third face mesh corresponding to the outlet end surface and the fourth face mesh corresponding to the inner side wall, then the three-dimensional model of the catalytic converter 1 is meshed based on the second face mesh, the third face mesh and the fourth face mesh to obtain a plurality of second volume meshes corresponding to the three-dimensional model of the catalytic converter 1, then the corresponding relationship between the second preset node of the second face mesh of the inlet end surface of the catalytic converter 1 and the first preset node of the first face mesh corresponding to the outlet end surface of the turbocharger 2 is determined, then based on the corresponding relationship, the flow field parameter of the corresponding first preset node is taken as the boundary condition of the corresponding second preset node, and based on the boundary condition and the flow field simulation algorithm, the flow field simulation analysis is performed on the plurality of second volume meshes corresponding to the three-dimensional model of the catalytic converter 1, so as to obtain the flow field analysis data of the three-dimensional model of the catalytic converter 1. By using the present application, the boundary condition of each second preset node is obtained by one-to-one corresponding assignment according to the flow field parameter of each first preset node of the outlet end surface of the turbocharger 2, so that the boundary condition of the second preset node is more in line with the actual situation, and the accuracy of the obtained flow field analysis data of the catalytic converter 1 is improved, and the overall performance of the catalytic converter 1 can be improved by using the flow field analysis data to optimize the catalytic converter 1.

[0094] The above is only an optional embodiment of the present application, and does not limit the present application, and any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A method for optimizing a catalytic converter, characterized in that, The method is applied to a catalytic converter (1), which includes an inlet cone (11), a support (12), an outlet cone (13), and an outlet pipe (14). The first end of the inlet cone (11) is connected to the first end of the support (12), the second end of the support (12) is connected to the first end of the outlet cone (13), and the second end of the outlet cone (13) is connected to the first end of the outlet pipe (14). The method includes: Obtain the three-dimensional model of the catalytic converter (1) and the flow field analysis data corresponding to the outlet end face of the turbocharger (2), wherein the outlet end face of the turbocharger (2) is the circular plane corresponding to the inner sidewall of the outlet end of the turbocharger (2), and the flow field analysis data corresponding to the outlet end face of the turbocharger (2) includes the flow field parameters of the first preset node of each first face grid corresponding to the outlet end face of the turbocharger (2); The inlet end face, outlet end face and inner wall of the three-dimensional model of the catalytic converter (1) are divided into surface meshes to obtain multiple second surface meshes corresponding to the inlet end face of the three-dimensional model of the catalytic converter (1), multiple third surface meshes corresponding to the outlet end face of the three-dimensional model of the catalytic converter (1) and multiple fourth surface meshes corresponding to the inner wall of the three-dimensional model of the catalytic converter (1). The inlet end face of the three-dimensional model of the catalytic converter (1) is the circular plane corresponding to the inner wall of the second end of the inlet cone (11) in the three-dimensional model of the catalytic converter (1), and the outlet end face of the three-dimensional model of the catalytic converter (1) is the circular plane corresponding to the inner wall of the second end of the outlet pipe (14) in the three-dimensional model of the catalytic converter (1). The inner wall of the three-dimensional model of the catalytic converter (1) includes the inner wall of the inlet cone (11), the inner wall of the carrier (12), the inner wall of the outlet cone (13) and the inner wall of the outlet pipe (14). Based on the plurality of second-face meshes, the plurality of third-face meshes and the plurality of fourth-face meshes, the three-dimensional model of the catalytic converter (1) is divided into volume meshes to obtain the plurality of second volume meshes corresponding to the three-dimensional model of the catalytic converter (1); Determine the correspondence between the second preset node of the second face mesh of the inlet end face of the three-dimensional model of the catalytic converter (1) and the first preset node of the first face mesh corresponding to the outlet end face of the turbocharger (2); The flow field parameters of the first preset node corresponding to each second preset node are respectively used as the boundary conditions of the corresponding second preset node. Based on the flow field simulation algorithm and the boundary conditions of multiple second preset nodes, the flow field simulation analysis is performed on multiple second body meshes corresponding to the three-dimensional model of the catalytic converter (1) to obtain the flow field analysis data of the three-dimensional model of the catalytic converter (1). The catalytic converter (1) is optimized based on the flow field analysis data of the three-dimensional model of the catalytic converter (1).

2. The optimization method for the catalytic converter according to claim 1, characterized in that, The first preset node of the first face mesh includes at least one of the center point of the first face mesh and the vertex of the first face mesh.

3. The optimization method for the catalytic converter according to claim 1, characterized in that, The flow field parameters of the first preset node include at least one of the flow velocity, temperature and pressure of the first preset node.

4. The optimization method for the catalytic converter according to claim 1, characterized in that, The inlet end face of the three-dimensional model of the catalytic converter (1) is meshed to obtain multiple second surface meshes corresponding to the inlet end face of the three-dimensional model of the catalytic converter (1), including: When the size of the inlet end face of the three-dimensional model of the catalytic converter (1) is the same as the size of the outlet end face of the turbocharger (2), the multiple first face meshes of the outlet end face of the turbocharger (2) are copied as the multiple second face meshes corresponding to the inlet end face of the three-dimensional model of the catalytic converter (1).

5. The optimization method for the catalytic converter according to claim 1, characterized in that, The determination of the correspondence between the second preset node of the second face mesh of the inlet end face of the three-dimensional model of the catalytic converter (1) and the first preset node of the first face mesh corresponding to the outlet end face of the turbocharger (2) includes: When the outlet end face of the turbocharger (2) is coplanar and concentrically set with the inlet end face of the three-dimensional model of the catalytic converter (1), for each second preset node, the first preset node that is closest to the second preset node is determined as the first preset node corresponding to the second preset node.

6. The method for optimizing a catalytic converter according to claim 1, characterized in that, The flow field analysis data of the three-dimensional model of the catalytic converter (1) includes the flow uniformity coefficient corresponding to the inlet end face of the carrier (12) of the three-dimensional model of the catalytic converter (1), wherein the inlet end face of the carrier (12) is the circular plane corresponding to the inner sidewall of the first end of the carrier (12). The flow field analysis data based on the three-dimensional model of the catalytic converter (1) is used to optimize the catalytic converter (1), including: Based on the flow uniformity coefficient and uniformity coefficient threshold corresponding to the inlet end face of the carrier (12), the bending angle of the inlet cone (11) of the catalytic converter (1) is optimized.

7. The optimization method for the catalytic converter according to claim 6, characterized in that, The uniformity coefficient threshold is 0.

85.

8. The method for optimizing a catalytic converter according to claim 1, characterized in that, The flow field analysis data of the three-dimensional model of the catalytic converter (1) includes the flow velocity of multiple second body grids corresponding to the inlet end face of the carrier (12) of the three-dimensional model of the catalytic converter (1), wherein the inlet end face of the carrier (12) is a circular plane corresponding to the inner sidewall of the first end of the carrier (12). The flow field analysis data based on the three-dimensional model of the catalytic converter (1) is used to optimize the catalytic converter (1), including: Based on the flow rate and maximum flow rate threshold of multiple second body grids corresponding to the inlet end face of the carrier (12), the bending angle of the inlet cone (11) of the catalytic converter (1) is optimized.

9. The method for optimizing a catalytic converter according to claim 8, characterized in that, The maximum flow rate threshold is 100 m / s.

10. The method for optimizing a catalytic converter according to claim 1, characterized in that, The flow field analysis data of the three-dimensional model of the catalytic converter (1) includes the pressure drop of the three-dimensional model of the catalytic converter (1); The flow field analysis data based on the three-dimensional model of the catalytic converter (1) is used to optimize the catalytic converter (1), including: Based on the pressure loss of the three-dimensional model of the catalytic converter (1), the bending angle of the inlet cone (11) of the catalytic converter (1) and / or the diameter of the inner wall of the catalytic converter (1) are optimized.

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