[go: up one dir, main page]

CN113468666B - Engine crankshaft bearing noise identification method, device, equipment and storage medium - Google Patents

Engine crankshaft bearing noise identification method, device, equipment and storage medium Download PDF

Info

Publication number
CN113468666B
CN113468666B CN202110781817.7A CN202110781817A CN113468666B CN 113468666 B CN113468666 B CN 113468666B CN 202110781817 A CN202110781817 A CN 202110781817A CN 113468666 B CN113468666 B CN 113468666B
Authority
CN
China
Prior art keywords
engine
crankshaft
crankshaft bearing
engine crankshaft
model
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202110781817.7A
Other languages
Chinese (zh)
Other versions
CN113468666A (en
Inventor
李勤华
高林林
胡军峰
邓晓龙
李康军
王豪
郭丰
孙少伟
王瑞平
肖逸阁
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhejiang Geely Holding Group Co Ltd
Ningbo Geely Royal Engine Components Co Ltd
Zhejiang Geely Power Train Co Ltd
Yiwu Geely Powertrain Co Ltd
Original Assignee
Zhejiang Geely Holding Group Co Ltd
Ningbo Geely Royal Engine Components Co Ltd
Zhejiang Geely Power Train Co Ltd
Yiwu Geely Powertrain Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Zhejiang Geely Holding Group Co Ltd, Ningbo Geely Royal Engine Components Co Ltd, Zhejiang Geely Power Train Co Ltd, Yiwu Geely Powertrain Co Ltd filed Critical Zhejiang Geely Holding Group Co Ltd
Priority to CN202110781817.7A priority Critical patent/CN113468666B/en
Publication of CN113468666A publication Critical patent/CN113468666A/en
Application granted granted Critical
Publication of CN113468666B publication Critical patent/CN113468666B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/10Geometric CAD
    • G06F30/15Vehicle, aircraft or watercraft design
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • G06F30/23Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Geometry (AREA)
  • General Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Automation & Control Theory (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Computational Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Shafts, Cranks, Connecting Bars, And Related Bearings (AREA)

Abstract

The invention discloses a method, a device, equipment and a storage medium for identifying noise of an engine crankshaft bearing bush, and relates to the technical field of vehicles. The method comprises the following steps: acquiring structural parameters of an engine; establishing a dynamic simulation model of an engine crankshaft based on the structural parameters; extracting an axle center running track at the axle journal from the dynamics simulation model; and when an inflection point with the slope change value larger than a preset value exists in the axis running track, judging that the crankshaft bearing bush of the engine is noisy. According to the invention, the running state of the engine crankshaft is simulated by using the simulation model, the simulation result is analyzed, and whether noise is generated at the bearing bush of the engine crankshaft is judged based on the axle center running track of the crankshaft at the axle journal, so that the detection of the engine is conveniently completed, and the design cost is saved.

Description

Engine crankshaft bearing bush noise identification method, device, equipment and storage medium
Technical Field
The invention relates to the technical field of vehicles, in particular to a method, a device, equipment and a storage medium for identifying noise of a crankshaft bearing bush of an engine.
Background
During the running process of the engine, high-frequency knocking sounds are easy to occur on the crankshaft bearing bush due to the high-speed rotation of the crankshaft, so that the NVH (Noise, vibration, harshness, noise, vibration and harshness) performance of the whole vehicle is reduced. In order to ensure the NVH performance of the vehicle, the noise of the engine crankshaft bearing bush needs to be reduced, however, at present, the detection can only be carried out when the engine is erected on the whole vehicle, which clearly increases the design cost of the engine.
Disclosure of Invention
The invention mainly aims to provide an engine crankshaft bearing bush noise identification method, device, equipment and storage medium, and aims to solve the technical problem that engine crankshaft bearing bush noise cannot be detected conveniently in the prior art.
In order to achieve the above purpose, the invention provides a method for identifying noise of a crankshaft bushing of an engine, which comprises the following steps:
acquiring structural parameters of an engine;
establishing a dynamic simulation model of an engine crankshaft system based on the structural parameters;
Extracting an axle center running track at the axle journal from the dynamics simulation model;
And when an inflection point with the slope change value larger than a preset value exists in the axis running track, judging that the crankshaft bearing bush of the engine is noisy.
Optionally, extracting the axis running track at the journal from the dynamic simulation model includes:
inputting preset working condition parameters into a dynamics simulation model for solving to obtain a simulation result;
And extracting the axle center running track at the axle journal from the simulation result.
Optionally, the preset operating condition parameters include crankshaft rotation speed, oil film parameters and load parameters.
Optionally, extracting the axis running track at the journal from the simulation result includes:
Extracting an axle center running track and oil pressure parameters of the axle journal from the simulation result;
correspondingly, when an inflection point with a slope change value larger than a preset value exists in the axis running track, the method for judging the noise occurrence of the crankshaft bearing bush of the engine comprises the following steps:
And when the inclination change value is larger than the inflection point of the preset value and the oil pressure parameter meets the oil film failure condition, judging that the crankshaft bush of the engine is noisy.
Optionally, establishing a dynamic simulation model of the engine crankshaft system based on the structural parameters includes:
Establishing an engine geometric model based on the structural parameters;
And establishing a dynamics simulation model according to the engine geometric model and the crankshaft dynamic equation.
Optionally, establishing a dynamics simulation model according to the engine geometric model and the crankshaft dynamic equation comprises the following steps:
performing finite element mesh division on the engine geometric model to obtain a mesh model;
extracting a quality matrix and a rigidity matrix of the grid model to obtain an extracted model;
And establishing a dynamics simulation model according to the extracted model and a crankshaft dynamic equation.
Optionally, after determining that noise occurs in the crankshaft bush of the engine, the method further includes:
Determining the abnormal position of the journal according to the inflection point;
An oil passage parameter is determined based on the journal anomaly location to increase the oil passage at the journal anomaly location.
In addition, in order to achieve the above object, the present invention also provides an engine crankshaft bushing noise recognition device, the engine crankshaft bushing noise recognition device includes:
The parameter acquisition module is used for acquiring structural parameters of the engine;
the simulation module is used for establishing a dynamic simulation model of the engine crankshaft based on the structural parameters;
The extraction module is used for extracting the axle center running track at the axle journal from the dynamic simulation model;
And the detection module is used for judging that the crankshaft bearing bush of the engine is noisy when an inflection point with the slope change value larger than a preset value exists in the axis running track.
In addition, in order to achieve the above object, the present invention also provides an engine crankshaft bushing noise recognition apparatus, the engine crankshaft bushing noise recognition apparatus comprising: the engine crankshaft bushing noise recognition method is realized when the engine crankshaft bushing noise recognition program is executed by the processor.
In addition, in order to achieve the above object, the present invention further provides a storage medium, on which an engine crank throw noise recognition program is stored, which when executed by a processor, implements the engine crank throw noise recognition method as described above.
In the invention, the structural parameters of the engine are obtained; establishing a dynamic simulation model of an engine crankshaft based on the structural parameters; extracting an axle center running track at the axle journal from the dynamics simulation model; and when an inflection point with the slope change value larger than a preset value exists in the axis running track, judging that the crankshaft bearing bush of the engine is noisy. According to the invention, the running state of the engine crankshaft is simulated by using the simulation model, the simulation result is analyzed, and whether the engine crankshaft bearing bush is noisy or not is judged based on the axle center running track of the crankshaft at the axle journal, so that the detection of the engine is conveniently completed, and the design cost is saved.
Drawings
FIG. 1 is a schematic diagram of an engine crankshaft bushing noise identification device in a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a flowchart of a first embodiment of the engine crankshaft bushing noise identification method of the present invention;
FIG. 3 is a schematic diagram of an embodiment of an axial motion trajectory;
FIG. 4 is a flowchart of a second embodiment of the engine crankshaft bushing noise identification method of the present invention;
FIG. 5 is a flowchart of a third embodiment of the engine crankshaft bushing noise recognition method of the present invention;
fig. 6 is a block diagram of a first embodiment of the engine crankshaft bushing noise recognition device of the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of an engine crankshaft bushing noise recognition device in a hardware operation environment according to an embodiment of the present invention.
As shown in fig. 1, the engine crankshaft bushing noise recognition apparatus may include: a processor 1001, such as a central processing unit (Central Processing Unit, CPU), a communication bus 1002, a user interface 1003, a network interface 1004, a memory 1005. Wherein the communication bus 1002 is used to enable connected communication between these components. The user interface 1003 may include a Display (Display), and the optional user interface 1003 may also include a standard wired interface, a wireless interface, and the wired interface for the user interface 1003 may be a USB interface in the present invention. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., a wireless FIdelity (WI-FI) interface). The Memory 1005 may be a high-speed random access Memory (Random Access Memory, RAM) Memory or a stable Memory (NVM), such as a disk Memory. The memory 1005 may also optionally be a storage device separate from the processor 1001 described above.
It will be appreciated by those skilled in the art that the configuration shown in fig. 1 is not limiting of the engine crankshaft bushing noise recognition device and may include more or fewer components than shown, or certain components may be combined, or a different arrangement of components.
As shown in fig. 1, an operating system, a network communication module, a user interface module, and an engine crank throw noise recognition program may be included in a memory 1005 identified as a computer storage medium.
In the engine crankshaft bushing noise recognition device shown in fig. 1, the network interface 1004 is mainly used for connecting a background server and performing data communication with the background server; the user interface 1003 is mainly used for connecting user equipment; the engine crankshaft bushing noise recognition device invokes an engine crankshaft bushing noise recognition program stored in the memory 1005 through the processor 1001, and executes the engine crankshaft bushing noise recognition method provided by the embodiment of the invention.
Based on the hardware structure, the embodiment of the engine crankshaft bushing noise identification method is provided.
Referring to fig. 2, fig. 2 is a schematic flow chart of a first embodiment of a method for identifying noise of a crankshaft bushing of an engine according to the present invention.
In a first embodiment, the engine crankshaft bushing noise identification method includes the steps of:
step S10: and acquiring structural parameters of the engine.
It should be understood that the execution body of the embodiment is the engine crankshaft bushing noise recognition device, which has functions of image processing, data communication, program running, etc., and the engine crankshaft bushing noise recognition device may be a computer device such as a computer or a server, etc., and of course, may be other devices having similar functions, and the embodiment is not limited thereto.
It is understood that the structural parameters of the engine mainly include dimensional parameters of various parts of the engine, such as the crankshaft, journal, housing, etc. Of course, in order to reduce the amount of computation, the acquired structural parameters may include only structural parameters related to the crankshaft motion, and the structural parameters not related to the crankshaft motion may not be acquired.
In specific implementation, structural parameters of the engine can be manually input by a tester, and the engine crankshaft bush noise recognition device receives data input by a user to obtain the structural parameters of the engine. Or adopting 3D scanning equipment to transmit the scanning data to noise identification equipment of the crankshaft bush of the engine so as to acquire the structural parameters of the engine. Of course, other manners of obtaining the engine structural parameters may be adopted, which is not limited in this embodiment.
Step S20: and establishing a dynamic simulation model of the engine crankshaft system based on the structural parameters.
It can be understood that the dynamic simulation model can simulate the actual running state, and the running state of the engine is simulated by establishing the simulation model, so that the engine does not need to be detected on the whole vehicle. The dynamic simulation model in the embodiment is mainly used for simulating the running state of the engine crankshaft, and the structural parameters are input into simulation software to generate the dynamic simulation model of the engine crankshaft, wherein the simulation software can be selected according to the requirements of users, and the embodiment is not limited to the above.
Step S30: and extracting the axle center running track at the axle journal from the dynamics simulation model.
The axis running track at the journal is the running track of the axis of the shaft section of the crankshaft at the journal in the simulation process. The dynamic simulation model can be internally provided with a monitoring program, and in the simulation process, the real-time monitoring program monitors and records the position of the axle center of the axle section at the axle journal in real time by taking a preset coordinate system as a reference so as to form an axle center running track. The engine crankshaft bush noise recognition equipment extracts the running track, so that the axle center running track of the axle journal is obtained.
Step S40: and when an inflection point with the slope change value larger than a preset value exists in the axis running track, judging that the crankshaft bearing bush of the engine is noisy.
The high frequency rattle of the crankshaft bushing is caused by direct collision of the crankshaft with the bushing. Typically, an oil film is present between the crankshaft and the bearing shell; the oil film can ensure that a certain gap is formed between the crankshaft and the bearing bush in the motion process, so that direct collision is avoided. Under normal conditions, the axis running track of the crankshaft at the journal is smoothly changed; when the crankshaft and the bearing bush directly collide, the axle center running track can be suddenly changed due to failure of an oil film, so that whether the crankshaft of the engine directly collides with the bearing bush or not can be judged according to the axle center running track, and noise is generated.
The slope change value may be the difference between the slopes of the front and rear points corresponding to each point in the axis running track. The smaller the slope change value is, the smaller the change of the axis running direction is; the larger the slope change value is, the larger the axis running direction change is. Referring to fig. 3, fig. 3 is a schematic diagram of an embodiment of an axis running track. As shown in FIG. 3, the point A in the axis running track is an inflection point, and the slope changes on two sides of the inflection point are large, so that the crankshaft directly collides with the bearing bush at the point A to generate noise.
In a first embodiment, by acquiring structural parameters of an engine; establishing a dynamic simulation model of an engine crankshaft based on the structural parameters; extracting an axle center running track at the axle journal from the dynamics simulation model; and when an inflection point with the slope change value larger than a preset value exists in the axis running track, judging that the crankshaft bearing bush of the engine is noisy. According to the method, the running state of the engine crankshaft is simulated by using the simulation model, the simulation result is analyzed, and whether noise is generated at the bearing bush of the engine crankshaft is judged based on the axle center running track of the crankshaft at the axle journal, so that the detection of the engine is conveniently completed, and the design cost is saved.
Referring to fig. 4, fig. 4 is a schematic flow chart of a second embodiment of the engine crankshaft bushing noise recognition method according to the present invention, and based on the first embodiment, the second embodiment of the engine crankshaft bushing noise recognition method according to the present invention is proposed.
In the second embodiment, step S30 includes:
step S301: and inputting preset working condition parameters into a dynamics simulation model for solving, and obtaining a simulation result.
It should be noted that, in order to make the simulation process more conform to the actual running process of the engine, when the simulation is performed, the working condition and the calculation boundary may be set so as to detect the running state of the engine under different conditions. Corresponding working condition parameters can be set according to working conditions and calculation boundaries and input into the simulation model, and the running states of the engine under different conditions are tested.
In this embodiment, the preset operating parameters include crankshaft speed, oil film parameters, and load parameters. For example, the crankshaft speed may be 1000r/min, the oil film parameter may be 60℃ oil temperature and oil film thickness of 3mm, and the load may be 1300N.
The step of inputting the preset working condition parameters into the dynamics simulation model for solving is to input the preset working condition parameters into the dynamics simulation model, so that the dynamics simulation model starts to operate, monitor and record each parameter in the dynamics simulation model, and take the recorded result as a simulation result.
Step S302: and extracting the axle center running track at the axle journal from the simulation result.
It can be understood that each item of monitoring data in the dynamic simulation model can be included in the simulation result, corresponding identification information can be set for each item of data in the simulation result for further facilitating data extraction, and then the corresponding identification information is stored in the memory, so that corresponding data can be extracted from the memory according to the identification information, and the identification information can be a character string and the like. When the axis running track is extracted, corresponding identification information is firstly obtained, and the axis running track is extracted from the simulation result according to the identification information.
In order to more accurately determine whether noise is present in the engine crankshaft bushing, the type of data analyzed, such as oil pressure parameters, may be increased. In this embodiment, step S302 may further be: and extracting the axle center running track and the oil pressure parameter at the axle journal from the simulation result.
The oil pressure parameter may include an oil pressure at the journal and a rate of change of the oil pressure. Referring to the first embodiment, the dynamics simulation model may be built with a monitoring program to monitor the oil pressure and the oil pressure change rate in real time. In this embodiment, the oil film parameter is set in the preset working condition parameter, and then the simulation process is monitored in real time by the monitoring program, so as to obtain the oil pressure and the oil pressure change rate at the journal.
On the premise that the oil pressure parameter is also extracted from the simulation result, step 40 may be: and when the inclination change value is larger than the inflection point of the preset value and the oil pressure parameter meets the oil film failure condition, judging that the crankshaft bush of the engine is noisy.
With continued reference to fig. 3, the point a in the axis running track is an inflection point, at this time, the oil pressure parameter under the moment corresponding to the point a is judged, if the oil film layer at the bearing bush suddenly appears vacuum and the change rate of the oil film pressure of the bearing bush shows a larger change, it is indicated that the oil film pressure of the surface of the bearing bush is a negative value instantaneously, the oil film of the bearing bush fails, and the oil film between the bearing bush and the crankshaft appears noise.
In the second embodiment, preset working condition parameters are input into a dynamics simulation model to be solved, a simulation result is obtained, and an axle center running track at the axle journal is extracted from the simulation result. According to the embodiment, the simulation model can simulate the actual running state of the engine by setting the working condition parameters, so that the accuracy of noise identification is improved. Meanwhile, whether the bearing bush generates noise can be further judged by combining with the oil film pressure condition of the bearing bush, and the identification accuracy is further improved.
Referring to fig. 5, fig. 5 is a schematic flow chart of a third embodiment of the engine crankshaft bushing noise recognition method according to the present invention, and based on the first embodiment and the second embodiment, the third embodiment of the engine crankshaft bushing noise recognition method according to the present invention is proposed.
In a third embodiment, the step S20 includes:
Step S201: an engine geometry model is established based on the structural parameters.
It can be understood that, in order to more accurately establish a dynamics model of a crankshaft system, the present embodiment first establishes a geometric model of an engine, and then establishes a simulation model based on the geometric model. In particular implementations, a tester may input structural parameters into simulation software to build a geometric model of the engine.
Step S202: and establishing a dynamics simulation model according to the engine geometric model and the crankshaft dynamic equation.
It will be appreciated that the crankshaft dynamics equation is primarily intended to represent the relationship between torque and rotational speed of the crankshaft. The specific crankshaft power equation is already a mature technology, and this embodiment is not described herein in detail.
To further reduce the amount of computation, the present embodiment further reduces the geometric model, and specifically, step S202 may include: performing finite element mesh division on the engine geometric model to obtain a mesh model; extracting a quality matrix and a rigidity matrix of the grid model to obtain an extracted model; and establishing a dynamics simulation model according to the extracted model and a crankshaft dynamic equation.
It will be appreciated that in order to facilitate analysis of the geometric model, finite element mesh partitioning is performed on the geometric model, the process may be performed based on a built-in program in simulation software, and the mesh size may be set according to the needs of the tester. Meanwhile, in order to further reduce the operation amount, a quality matrix and a rigidity matrix in the geometric model are extracted, and key information required by crankshaft analysis is obtained, so that irrelevant data amount is provided, and the operation speed is improved.
In the traditional engine design, in order to reduce the high-frequency knocking noise of the crankshaft bearing bush, the fit clearance of the crankshaft bearing bush is reduced, and measures such as increasing the oil supply pressure of a main oil gallery, adjusting the radius of the bearing bush to be high and the like can be adopted. When the fit clearance of the crankshaft bearing bush is reduced, the condition that the crankshaft is locked in cold areas possibly occurs, in addition, the production consistency of a factory is difficult to control after the fit clearance is tightly contracted, and abnormal noise can be improved to a certain extent after the measures of increasing the oil supply pressure of the main shaft bearing bush oil duct and reducing the radius of the bearing bush are taken, but cavity abnormal noise still exists, and the NVH requirement of a vehicle cannot be met.
In order to fundamentally solve the problem that high-frequency knocking noise exists in a crankshaft bearing bush, the embodiment provides an oil duct design, and the oil film distribution between the bearing bush and a crankshaft at the moment is changed by designing a linear penetrating oil duct from a main oil duct at a bearing bush noise generating position so as to reduce the degree of abrupt change of oil film pressure.
In specific implementation, determining the abnormal position of the journal according to the inflection point; an oil passage parameter is determined based on the journal anomaly location to increase the oil passage at the journal anomaly location. In general, high-frequency knocking noise of the crankshaft bush occurs at the bottom of the lower bush, and linear through oil passages are designed at the bottom of the lower bush and at the top of the upper bush. When the journal is rapidly upwards, the oil film pressure of the lower bushing is distributed and rapidly filled, so that noise of high-frequency abnormal sound of oil film cavity is avoided.
In a third embodiment, an engine geometric model is built based on structural parameters; and a dynamics simulation model is built according to the engine geometric model and the crankshaft dynamic equation so as to more accurately build a dynamics model of the crankshaft system and improve the recognition accuracy. Further, finite element mesh division and reduction are carried out on the geometric model, so that the operand is reduced, and the recognition speed is improved.
In addition, the embodiment of the invention also provides a storage medium, wherein the storage medium stores an engine crankshaft bushing noise identification program, and the engine crankshaft bushing noise identification program realizes the steps of the engine crankshaft bushing noise identification method when being executed by a processor.
Because the storage medium adopts all the technical schemes of all the embodiments, the storage medium has at least all the beneficial effects brought by the technical schemes of the embodiments, and the description is omitted here.
In addition, referring to fig. 6, fig. 6 is a block diagram of a first embodiment of the noise recognition device for a crankshaft bushing of an engine according to the present invention.
In this embodiment, the engine crankshaft bushing noise recognition device includes:
The parameter acquisition module 10 is used for acquiring structural parameters of the engine.
The simulation module 20 is configured to build a dynamic simulation model of the engine crankshaft system based on the structural parameters.
The extraction module 30 is used for extracting the axle center running track at the axle journal from the dynamics simulation model.
And the detection module 40 is used for judging that the crankshaft bush of the engine is noisy when the inflection point with the slope change value larger than the preset value exists in the axis running track.
In the present embodiment, by acquiring structural parameters of the engine; establishing a dynamic simulation model of an engine crankshaft based on the structural parameters; extracting an axle center running track at the axle journal from the dynamics simulation model; and when an inflection point with the slope change value larger than a preset value exists in the axis running track, judging that the crankshaft bearing bush of the engine is noisy. According to the method, the running state of the engine crankshaft is simulated by using the simulation model, the simulation result is analyzed, and whether noise exists at the bearing bush of the engine crankshaft is judged based on the axle center running track of the crankshaft at the axle journal, so that the detection of the engine is conveniently completed, and the design cost is saved.
In an embodiment, the extraction module 30 is further configured to input a preset working condition parameter to the dynamics simulation model for solving, so as to obtain a simulation result; and extracting the axle center running track at the axle journal from the simulation result.
In one embodiment, the preset operating parameters include crankshaft speed, oil film parameters, and load parameters.
In an embodiment, the extracting module 30 is further configured to extract the axle center running track and the oil pressure parameter at the journal from the simulation result; correspondingly, the detection module 40 is further configured to determine that noise occurs in the crankshaft bushing of the engine when the inflection point with the slope change value greater than the preset value exists in the axis running track and the oil pressure parameter satisfies the oil film failure condition.
In one embodiment, the simulation module 20 is further configured to build an engine geometric model based on the structural parameters; and establishing a dynamics simulation model according to the engine geometric model and the crankshaft dynamic equation.
In one embodiment, the simulation module 20 is further configured to perform finite element mesh division on the engine geometric model to obtain a mesh model; extracting a quality matrix and a rigidity matrix of the grid model to obtain an extracted model; and establishing a dynamics simulation model according to the extracted model and a crankshaft dynamic equation.
In one embodiment, the noise recognition device of the engine crankshaft bushing further comprises a positioning module, wherein the positioning module is used for determining the abnormal position of the journal according to the inflection point; an oil passage parameter is determined based on the journal anomaly location to increase the oil passage at the journal anomaly location.
Other embodiments or specific implementation manners of the engine crankshaft bushing noise recognition device according to the present invention may refer to the above method embodiments, and are not described herein again.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. read only memory mirror (Read Only Memory image, ROM)/random access memory (Random Access Memory, RAM), magnetic disk, optical disk), comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) to perform the method according to the embodiments of the present invention.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.

Claims (9)

1.一种发动机曲轴轴瓦噪声识别方法,其特征在于,所述发动机曲轴轴瓦噪声识别方法包括以下步骤:1. A method for identifying engine crankshaft bearing noise, characterized in that the method comprises the following steps: 获取发动机的结构参数;Obtain the structural parameters of the engine; 基于所述结构参数建立发动机曲轴系的动力学仿真模型;Establishing a dynamic simulation model of the engine crankshaft system based on the structural parameters; 从所述动力学仿真模型中提取轴颈处的轴心运行轨迹;Extracting the axis running trajectory at the journal from the dynamic simulation model; 在所述轴心运行轨迹中存在斜率变化值大于预设值的拐点时,判定所述发动机的曲轴轴瓦出现噪声;When there is an inflection point in the axis running trajectory where the slope change value is greater than a preset value, it is determined that the crankshaft bearing of the engine has noise; 所述基于所述结构参数建立发动机曲轴系的动力学仿真模型,包括:The method of establishing a dynamic simulation model of an engine crankshaft system based on the structural parameters comprises: 基于所述结构参数建立发动机几何模型;Establishing an engine geometric model based on the structural parameters; 根据所述发动机几何模型和曲轴动力方程建立动力学仿真模型。A dynamics simulation model is established according to the engine geometric model and the crankshaft dynamic equation. 2.如权利要求1所述的发动机曲轴轴瓦噪声识别方法,其特征在于,所述从所述动力学仿真模型中提取轴颈处的轴心运行轨迹,包括:2. The engine crankshaft bearing noise identification method according to claim 1, characterized in that the step of extracting the axis running trajectory at the journal from the dynamic simulation model comprises: 将预设工况参数输入至所述动力学仿真模型进行求解,获得仿真结果;Inputting preset working condition parameters into the dynamic simulation model for solving and obtaining simulation results; 从所述仿真结果中提取轴颈处的轴心运行轨迹。The axis running trajectory at the journal is extracted from the simulation results. 3.如权利要求2所述的发动机曲轴轴瓦噪声识别方法,其特征在于,所述预设工况参数包括曲轴转速、油膜参数和负载参数。3. The engine crankshaft bearing noise identification method as described in claim 2 is characterized in that the preset operating condition parameters include crankshaft speed, oil film parameters and load parameters. 4.如权利要求3所述的发动机曲轴轴瓦噪声识别方法,其特征在于,所述从所述仿真结果中提取轴颈处的轴心运行轨迹,包括:4. The engine crankshaft bearing noise identification method according to claim 3, characterized in that the step of extracting the axis running track at the journal from the simulation result comprises: 从所述仿真结果中提取轴颈处的轴心运行轨迹及油压参数;Extracting the axis running trajectory and oil pressure parameters at the journal from the simulation results; 相应的,所述在所述轴心运行轨迹中存在斜率变化值大于预设值的拐点时,判定所述发动机的曲轴轴瓦出现噪声,包括:Correspondingly, when there is an inflection point in the axis running trajectory where the slope change value is greater than a preset value, it is determined that the crankshaft bearing of the engine has noise, including: 在所述轴心运行轨迹中存在斜率变化值大于预设值的拐点,且所述油压参数满足油膜失效条件时,判定所述发动机的曲轴轴瓦出现噪声。When there is an inflection point in the axis running trajectory where the slope change value is greater than a preset value and the oil pressure parameter meets the oil film failure condition, it is determined that the crankshaft bearing of the engine has noise. 5.如权利要求1所述的发动机曲轴轴瓦噪声识别方法,其特征在于,所述根据所述发动机几何模型和曲轴动力方程建立动力学仿真模型,包括:5. The engine crankshaft bearing noise identification method according to claim 1, characterized in that the dynamic simulation model is established according to the engine geometric model and the crankshaft dynamic equation, comprising: 对所述发动机几何模型进行有限元网格划分,获得网格模型;Performing finite element meshing on the engine geometric model to obtain a mesh model; 对所述网格模型的质量矩阵和刚性矩阵进行提取,获取提取后的模型;Extracting the mass matrix and the rigidity matrix of the grid model to obtain the extracted model; 根据所述提取后的模型和曲轴动力方程建立动力学仿真模型。A dynamics simulation model is established based on the extracted model and the crankshaft dynamic equation. 6.如权利要求1-4中任一项所述的发动机曲轴轴瓦噪声识别方法,其特征在于,所述判定所述发动机的曲轴轴瓦出现噪声之后,还包括:6. The method for identifying engine crankshaft bearing noise according to any one of claims 1 to 4, characterized in that after determining that the engine crankshaft bearing noise occurs, the method further comprises: 根据所述拐点确定轴颈异常位置;determining the abnormal position of the journal according to the inflection point; 基于所述轴颈异常位置确定油道参数,以在所述轴颈异常位置增加油道。An oil passage parameter is determined based on the abnormal position of the journal to add an oil passage at the abnormal position of the journal. 7.一种发动机曲轴轴瓦噪声识别装置,其特征在于,所述发动机曲轴轴瓦噪声识别装置包括:7. An engine crankshaft bearing noise identification device, characterized in that the engine crankshaft bearing noise identification device comprises: 参数获取模块,用于获取发动机的结构参数;A parameter acquisition module, used to obtain the structural parameters of the engine; 仿真模块,用于基于所述结构参数建立发动机曲轴系的动力学仿真模型;A simulation module, used for establishing a dynamic simulation model of the engine crankshaft system based on the structural parameters; 提取模块,用于从所述动力学仿真模型中提取轴颈处的轴心运行轨迹;An extraction module, used for extracting the axis running track at the journal from the dynamic simulation model; 检测模块,用于在所述轴心运行轨迹中存在斜率变化值大于预设值的拐点时,判定所述发动机的曲轴轴瓦出现噪声;A detection module, configured to determine that noise occurs in the crankshaft bearing of the engine when there is an inflection point in the axis running trajectory where the slope change value is greater than a preset value; 所述仿真模块,还用于基于所述结构参数建立发动机几何模型;根据所述发动机几何模型和曲轴动力方程建立动力学仿真模型。The simulation module is also used to establish an engine geometry model based on the structural parameters; and to establish a dynamic simulation model according to the engine geometry model and the crankshaft dynamic equation. 8.一种发动机曲轴轴瓦噪声识别设备,其特征在于,所述发动机曲轴轴瓦噪声识别设备包括:存储器、处理器及存储在所述存储器上并可在所述处理器上运行的发动机曲轴轴瓦噪声识别程序,所述发动机曲轴轴瓦噪声识别程序被所述处理器执行时实现如权利要求1至6中任一项所述的发动机曲轴轴瓦噪声识别方法。8. An engine crankshaft bearing noise identification device, characterized in that the engine crankshaft bearing noise identification device comprises: a memory, a processor, and an engine crankshaft bearing noise identification program stored in the memory and executable on the processor, wherein the engine crankshaft bearing noise identification program, when executed by the processor, implements the engine crankshaft bearing noise identification method as described in any one of claims 1 to 6. 9.一种存储介质,其特征在于,所述存储介质上存储有发动机曲轴轴瓦噪声识别程序,所述发动机曲轴轴瓦噪声识别程序被处理器执行时实现如权利要求1至6中任一项所述的发动机曲轴轴瓦噪声识别方法。9. A storage medium, characterized in that an engine crankshaft bearing noise recognition program is stored on the storage medium, and when the engine crankshaft bearing noise recognition program is executed by a processor, the engine crankshaft bearing noise recognition method according to any one of claims 1 to 6 is implemented.
CN202110781817.7A 2021-07-08 2021-07-08 Engine crankshaft bearing noise identification method, device, equipment and storage medium Active CN113468666B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110781817.7A CN113468666B (en) 2021-07-08 2021-07-08 Engine crankshaft bearing noise identification method, device, equipment and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110781817.7A CN113468666B (en) 2021-07-08 2021-07-08 Engine crankshaft bearing noise identification method, device, equipment and storage medium

Publications (2)

Publication Number Publication Date
CN113468666A CN113468666A (en) 2021-10-01
CN113468666B true CN113468666B (en) 2024-11-19

Family

ID=77879615

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110781817.7A Active CN113468666B (en) 2021-07-08 2021-07-08 Engine crankshaft bearing noise identification method, device, equipment and storage medium

Country Status (1)

Country Link
CN (1) CN113468666B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115263572B (en) * 2022-06-15 2023-08-18 东风汽车集团股份有限公司 Vehicle, engine noise reduction control method and related equipment

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103473415A (en) * 2013-09-11 2013-12-25 北京金风科创风电设备有限公司 Noise simulation method of wind generating set
CN104834763A (en) * 2014-10-31 2015-08-12 北汽福田汽车股份有限公司 Method for obtaining engine radiation noise and engine design optimization method

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1094223C (en) * 2000-06-09 2002-11-13 清华大学 Automatic testing system for driver pile examination process based on image sequence analysis
DE102009002392A1 (en) * 2009-04-15 2010-11-04 Airbus Deutschland Gmbh System and method for determining local accelerations, dynamic load distributions and aerodynamic data in an aircraft
KR20100116025A (en) * 2009-04-21 2010-10-29 인하대학교 산학협력단 Structure-borne noise prospecting method of power-train using hybrid transfer path analysis
CN104866648B (en) * 2015-04-21 2018-10-30 中车青岛四方机车车辆股份有限公司 One kind is run at high speed traffic tool simulating model pre-treatment template and processing method
CN107992638B (en) * 2016-10-26 2021-07-09 北京汽车动力总成有限公司 Method and device for establishing engine crankcase structure model
CN107665286A (en) * 2017-10-31 2018-02-06 华晨汽车集团控股有限公司 One kind is on automobile engine bearings dynamic analysis method
CN107703883B (en) * 2017-11-10 2019-11-19 中国计量大学 Method and device for establishing linear motor contour error calculation model
CN109084887A (en) * 2018-06-01 2018-12-25 上海大学 A noise simulation method for pruning machine blade mechanism

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103473415A (en) * 2013-09-11 2013-12-25 北京金风科创风电设备有限公司 Noise simulation method of wind generating set
CN104834763A (en) * 2014-10-31 2015-08-12 北汽福田汽车股份有限公司 Method for obtaining engine radiation noise and engine design optimization method

Also Published As

Publication number Publication date
CN113468666A (en) 2021-10-01

Similar Documents

Publication Publication Date Title
CN104834763B (en) Obtain the method and engine design optimization method of engine radiation noise
CN113468666B (en) Engine crankshaft bearing noise identification method, device, equipment and storage medium
CN102867075A (en) Acceleration frequency response analysis-based body floor optimal design method
WO2022000560A1 (en) Method and device for evaluating tactile experience, and storage medium
CN110968965B (en) Engine cover dynamic fatigue analysis method
CN116341312A (en) Split dynamic vibration response result evaluation method for engine
US20210365613A1 (en) System and method for detecting excessive vibration in a consumer device using computerized modeling
JP4723202B2 (en) Displacement analysis method and displacement analysis system for rolling bearing
CN114417465B (en) Method and device for generating seismic isolation structures based on deep learning
CN113723980A (en) Method and device for detecting advertisement landing page, electronic equipment and storage medium
CN113484030B (en) Method, device and equipment for determining position of abnormal sound source and readable storage medium
CN115219217B (en) Method, device and storage medium for analyzing whistling noise in vehicle
JP2014232526A (en) Method and system including effects of contact of sheet metal blank with guide pins in gravity loading phase of deep drawing simulation
CN114004106A (en) Automobile brake noise analysis method
CN118052998B (en) Feature processing method, device, apparatus, storage medium, and computer program product
CN116502329B (en) Transmission case strength analysis method, transmission case strength analysis device, electronic device, and storage medium
CN117852348A (en) Supercharger noise simulation detection method and device, electronic equipment and storage medium
JP2015044484A (en) Apparatus, method and computer program for predicting tire vibration
CN118965893A (en) A collision energy management method and system based on one-dimensional model
JP2001099703A (en) Equipment sound simulation method and equipment sound simulator
CN117128185B (en) Fan noise reduction method, device, storage medium and device for notebook computer
Mehrgou et al. Efficient NVH Optimization of Electric Drive Units Using Digital Twins
CN108458873A (en) Plain bearing unit Analysis of Dynamic Characteristics method, apparatus, system and medium
JP2007102623A (en) Method and computer program for generating rotational body model, and method and program for analyzing rotary motion of tire/wheel assembly
CN117195630A (en) Method, device and medium for determining installation position of fault detection sensor

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant