CN114021288A - Method for predicting service life of yaw bearing of wind turbine generator - Google Patents
Method for predicting service life of yaw bearing of wind turbine generator Download PDFInfo
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- Y02E10/00—Energy generation through renewable energy sources
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- Y02E10/72—Wind turbines with rotation axis in wind direction
Abstract
A method for predicting the service life of a yaw bearing of a wind turbine generator comprises the steps of establishing a geometric model, establishing a contact pair, applying constraint and load, performing numerical simulation, importing ANSYS results, setting parameters and calculating results, establishing the geometric model when the bearing clearance is 0 by using three-dimensional modeling software, inputting parameters of model materials, setting the unit size, and performing grid division on the model by adopting a sweeping mode; according to the method for predicting the service life of the yaw bearing of the wind turbine generator, the fatigue life numerical simulation method is adopted, and ANSYS software is used for analyzing and calculating the contact stress of the bearing of the wind turbine generator, so that the service life of the bearing can be predicted, the prediction accuracy is improved, a worker can conveniently maintain the wind turbine generator, and the influence caused by the fault of the wind turbine generator is reduced.
Description
Technical Field
The invention relates to the technical field of wind turbine generators, in particular to a method for predicting the service life of a yaw bearing of a wind turbine generator.
Background
The wind power generation power supply comprises a wind generating set, a tower frame for supporting the generating set, a storage battery charging controller, an inverter, an unloader, a grid-connected controller, a storage battery pack and the like, wherein the wind generating set comprises a wind wheel and a generator; the wind wheel comprises blades, a hub, a reinforcing member and the like; the wind driven generator set has the functions of generating power by rotating blades under wind power, rotating a generator head and the like, and comprises a wind wheel and a generator; the wind wheel comprises blades, a hub, a reinforcing member and the like; it has the blade receives wind-force rotation electricity generation, generator aircraft nose rotation etc. function, and the wind speed is selected: the low wind speed wind driven generator can effectively improve the wind energy utilization of the wind driven generator in a low wind speed area, a bearing on the wind driven generator is an important component, and the fluency of the rotation of the blade depends on the quality of the bearing.
However, in the working process of the current wind turbine generator system, the yaw bearing of the wind turbine generator system has a service life, but the service life of the bearing of the wind turbine generator system cannot be accurately predicted at present, so that the maintenance work of the wind turbine generator system is inconvenient for workers, and although the calculation prediction is adopted, the calculation result is not accurate enough.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a method for predicting the service life of a yaw bearing of a wind turbine generator, which solves the problems that the service life of the bearing of the wind turbine generator cannot be accurately predicted at present, so that a worker is inconvenient to maintain the wind turbine generator, and although calculation prediction is adopted, the calculation result is not accurate enough.
In order to achieve the purpose, the invention is realized by the following technical scheme:
a method for predicting the service life of a yaw bearing of a wind turbine generator comprises the following steps:
s1, establishing a geometric model: establishing a geometric model when the bearing clearance is 0 by using three-dimensional modeling software, then inputting parameters of a model material, setting the unit size, and performing grid division on the model by adopting a sweeping mode;
s2, creating a contact pair: establishing a contact unit and a target unit which correspond to each other on the three-dimensional surface of the geometric model, and simulating the contact unit and the target unit by using a CONTA174 and a TARGE170 respectively to form a contact pair;
s3, applying constraint and load: applying full constraint to the outer surface and two end faces of the bearing; applying half of radial load force and half of axial load force to all points on the mutual matching surface of the bearing inner ring and the main shaft; axially constraining the bearing roller; symmetrical constraint is applied to the inner and outer rings of the bearing and the cross section of the roller;
s4, numerical simulation: setting ANSYS solving parameters, performing contact analysis calculation on the model, and reading out the contact stress of the inner and outer ring raceways of the bearing by utilizing the post-processing function of ANSYS;
s5, ANSYS result import: reading an analysis result of ANSYS elastic stress, setting a fatigue analysis type as S-N stress fatigue analysis, and setting a unit required by simulation; the simulation unit comprises force, length and stress, the unit of the force is cattle, the unit of the length is millimeter, and the unit of the stress is megapascal;
s6, setting parameters: setting the time history and the load amplitude of the bearing, selecting a banner alternating load to carry out fatigue numerical simulation of the bearing, and setting a solving method;
s7, calculating the result: and calculating the fatigue life of the bearing according to the solving method in the step S6 to obtain the life value of the bearing.
In step S1, the three-dimensional modeling software is pro.
In step S2, the inner and outer race raceways of the bearing are selected as contact surfaces, the surface of the bearing roller is selected as a target surface, and a contact-cutting pair is created by using a contact guide.
In the step S3, the radial load force is 30-34 ten thousand N, and the axial load force is 20-24 ten thousand N.
In step S6, the solution analysis method selects the goodman mean stress modification method among the mean stress modification methods.
In step S7, the formula is calculated as follows:
c is the rated dynamic load of the bearing, P is the equivalent dynamic load of the bearing, E is a parameter, the value of the ball bearing parameter is 3, and the value of the roller bearing is 10/3.
In step S7, the calculated result is checked and retested, and each input parameter data is compared, so as to prevent erroneous input of parameters and ensure accuracy of the calculated result.
Compared with the prior art, the invention has the following beneficial effects:
1. according to the method for predicting the service life of the yaw bearing of the wind turbine generator, the fatigue life numerical simulation method is adopted, and ANSYS software is used for analyzing and calculating the contact stress of the bearing of the wind turbine generator, so that the service life of the bearing can be predicted, the prediction accuracy is improved, a worker can conveniently maintain the wind turbine generator, and the influence caused by the fault of the wind turbine generator is reduced.
2. The method for predicting the service life of the yaw bearing of the wind turbine generator can be suitable for predicting the service life of bearings at different positions on the wind turbine generator, and the prediction method can also be suitable for predicting the service life of shafts on other equipment, so that the application range of the method is improved, workers can conveniently debug various bearings on the wind turbine generator, the normal work of the wind turbine generator is guaranteed, and the labor intensity of workers is reduced.
Drawings
FIG. 1 is a block flow diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention provides three technical solutions:
example one
A method for predicting the service life of a yaw bearing of a wind turbine generator comprises the following steps:
s1, establishing a geometric model: establishing a geometric model when the bearing clearance is 0 by using three-dimensional modeling software, then inputting parameters of a model material, setting the unit size, and performing grid division on the model by adopting a sweeping mode;
s2, creating a contact pair: establishing a contact unit and a target unit which correspond to each other in the surface of the three-dimensional model, and simulating the contact unit and the target unit by using the CONTA174 and the TARGE170 respectively to form a contact pair;
s3, applying constraint and load: applying full constraint to the outer surface and two end faces of the bearing; applying half of radial load force and half of axial load force to all points on the mutual matching surface of the bearing inner ring and the main shaft; axially constraining the bearing roller; symmetrical constraint is applied to the inner and outer rings of the bearing and the cross section of the roller;
s4, numerical simulation: setting ANSYS solving parameters, performing contact analysis on the model, and reading out the contact stress of the inner and outer ring raceways of the bearing by utilizing the post-processing function of ANSYS after the analysis and calculation are completed;
s5, ANSYS result import: reading an analysis result of ANSYS elastic stress, setting a fatigue analysis type as S-N stress fatigue analysis, and setting a unit required by simulation;
s6, setting parameters: setting the time history and the load amplitude of the bearing, selecting a banner alternating load to carry out fatigue numerical simulation of the bearing, and setting a solving method;
s7, calculating the result: and calculating the fatigue life of the bearing according to the solving method in the step S6 to obtain the life value of the bearing.
In the embodiment of the present invention, in step S1, the three-dimensional modeling software is pro.
In the embodiment of the invention, in step S2, the inner and outer race raceways of the bearing are selected as contact surfaces, the surface of the bearing roller is selected as a target surface, and a contact-cutting pair is created by using a contact guide.
In the embodiment of the present invention, in step S3, the radial load force is 30 ten thousand N, and the axial load force is 20 ten thousand N.
In the embodiment of the present invention, in step S5, the simulation units of force, length and stress are set, the unit of force is newton, the unit of length is millimeter, and the unit of stress is mpa.
In the embodiment of the present invention, in step S6, the solution analysis method selects the goodman mean stress correction method among the mean stress correction methods.
In the embodiment of the present invention, in step S7, the formula of calculation is as follows:
in the embodiment of the invention, in step S7, C is the rated dynamic load of the bearing, P is the equivalent dynamic load of the bearing, E is a parameter, the value of the ball bearing parameter is 3, and the value of the roller bearing is 10/3.
In the embodiment of the invention, in step S7, the calculated result is checked and retested, and each input parameter data is compared, so as to prevent the parameter from being input incorrectly and ensure the accuracy of the calculated result.
Example two
A method for predicting the service life of a yaw bearing of a wind turbine generator comprises the following steps:
s1, establishing a geometric model: establishing a geometric model when the bearing clearance is 0 by using three-dimensional modeling software, then inputting parameters of a model material, setting the unit size, and performing grid division on the model by adopting a sweeping mode;
s2, creating a contact pair: establishing a contact unit and a target unit which correspond to each other in the surface of the three-dimensional model, and simulating the contact unit and the target unit by using the CONTA174 and the TARGE170 respectively to form a contact pair;
s3, applying constraint and load: applying full constraint to the outer surface and two end faces of the bearing; applying half of radial load force and half of axial load force to all points on the mutual matching surface of the bearing inner ring and the main shaft; axially constraining the bearing roller; symmetrical constraint is applied to the inner and outer rings of the bearing and the cross section of the roller;
s4, numerical simulation: setting ANSYS solving parameters, performing contact analysis on the model, and reading out the contact stress of the inner and outer ring raceways of the bearing by utilizing the post-processing function of ANSYS after the analysis and calculation are completed;
s5, ANSYS result import: reading an analysis result of ANSYS elastic stress, setting a fatigue analysis type as S-N stress fatigue analysis, and setting a unit required by simulation;
s6, setting parameters: setting the time history and the load amplitude of the bearing, selecting a banner alternating load to carry out fatigue numerical simulation of the bearing, and setting a solving method;
s7, calculating the result: and calculating the fatigue life of the bearing according to the solving method in the step S6, and comparing each input parameter data to prevent the wrong input of the parameters and ensure the accuracy of the calculation result.
In the embodiment of the present invention, in step S1, the three-dimensional modeling software is pro.
In the embodiment of the invention, in step S2, the inner and outer race raceways of the bearing are selected as contact surfaces, the surface of the bearing roller is selected as a target surface, and a contact-cutting pair is created by using a contact guide.
In the embodiment of the present invention, in step S3, the radial load force is 34 ten thousand N, and the axial load force is 24 ten thousand N.
In the embodiment of the present invention, in step S5, the simulation units of force, length and stress are set, the unit of force is newton, the unit of length is millimeter, and the unit of stress is mpa.
In the embodiment of the present invention, in step S6, the solution analysis method selects the goodman mean stress correction method among the mean stress correction methods.
In the embodiment of the present invention, in step S7, the formula of calculation is as follows:
in the embodiment of the invention, in step S7, C is the rated dynamic load of the bearing, P is the equivalent dynamic load of the bearing, E is a parameter, the value of the ball bearing parameter is 3, and the value of the roller bearing is 10/3.
In the embodiment of the invention, in the step S7, the calculated result is subjected to a check calculation retest, so as to ensure the accuracy of the result.
EXAMPLE III
A method for predicting the service life of a yaw bearing of a wind turbine generator comprises the following steps:
s1, establishing a geometric model: establishing a geometric model when the bearing clearance is 0 by using three-dimensional modeling software, then inputting parameters of a model material, setting the unit size, and performing grid division on the model by adopting a sweeping mode;
s2, creating a contact pair: establishing a contact unit and a target unit which correspond to each other in the surface of the three-dimensional model, and simulating the contact unit and the target unit by using the CONTA174 and the TARGE170 respectively to form a contact pair;
s3, applying constraint and load: applying full constraint to the outer surface and two end faces of the bearing; applying half of radial load force and half of axial load force to all points on the mutual matching surface of the bearing inner ring and the main shaft; axially constraining the bearing roller; symmetrical constraint is applied to the inner and outer rings of the bearing and the cross section of the roller;
s4, numerical simulation: setting ANSYS solving parameters, performing contact analysis on the model, and reading out the contact stress of the inner and outer ring raceways of the bearing by utilizing the post-processing function of ANSYS after the analysis and calculation are completed;
s5, ANSYS result import: reading an analysis result of ANSYS elastic stress, setting a fatigue analysis type as S-N stress fatigue analysis, and setting a unit required by simulation;
s6, setting parameters: setting the time history and the load amplitude of the bearing, selecting a banner alternating load to carry out fatigue numerical simulation of the bearing, and setting a solving method;
s7, calculating the result: and calculating the fatigue life of the bearing according to the solving method in the step S6 to obtain the life value of the bearing.
In the embodiment of the present invention, in step S1, the three-dimensional modeling software is pro.
In the embodiment of the invention, in step S2, the inner and outer race raceways of the bearing are selected as contact surfaces, the surface of the bearing roller is selected as a target surface, and a contact-cutting pair is created by using a contact guide.
In the embodiment of the present invention, in step S3, the radial load force is 33 ten thousand N, and the axial load force is 23 ten thousand N.
In the embodiment of the present invention, in step S5, the simulation units of force, length and stress are set, the unit of force is newton, the unit of length is millimeter, and the unit of stress is mpa.
In the embodiment of the present invention, in step S6, the solution analysis method selects the goodman mean stress correction method among the mean stress correction methods.
In the embodiment of the present invention, in step S7, the formula of calculation is as follows:
in the embodiment of the invention, in step S7, C is the rated dynamic load of the bearing, P is the equivalent dynamic load of the bearing, E is a parameter, the value of the ball bearing parameter is 3, and the value of the roller bearing is 10/3.
In the embodiment of the invention, in step S7, the calculated result is checked and retested, and each input parameter data is compared, so as to prevent the parameter from being input incorrectly and ensure the accuracy of the calculated result.
In conclusion, by means of the fatigue life numerical simulation method and analysis of contact stress of the wind turbine generator bearings by using ANSYS software, the service lives of the bearings can be predicted, the prediction accuracy is improved, maintenance of the wind turbine generator by workers is facilitated, and influences caused by faults of the wind turbine generator are reduced.
And those not described in detail in this specification are well within the skill of those in the art.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus 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 apparatus.
Claims (7)
1. A method for predicting the service life of a yaw bearing of a wind turbine generator is characterized by comprising the following steps:
s1, establishing a geometric model: establishing a geometric model when the bearing clearance is 0 by using three-dimensional modeling software, then inputting parameters of a model material, setting the unit size, and performing grid division on the model by adopting a sweeping mode;
s2, creating a contact pair: establishing a contact unit and a target unit which correspond to each other on the three-dimensional surface of the geometric model, and simulating the contact unit and the target unit by using a CONTA174 and a TARGE170 respectively to form a contact pair;
s3, applying constraint and load: applying full constraint to the outer surface and two end faces of the bearing; applying half of radial load force and half of axial load force to all points on the mutual matching surface of the bearing inner ring and the main shaft; axially constraining the bearing roller; symmetrical constraint is applied to the inner and outer rings of the bearing and the cross section of the roller;
s4, numerical simulation: setting ANSYS solving parameters, performing contact analysis calculation on the model, and reading out the contact stress of the inner and outer ring raceways of the bearing by utilizing the post-processing function of ANSYS;
s5, ANSYS result import: reading an analysis result of ANSYS elastic stress, setting a fatigue analysis type as S-N stress fatigue analysis, and setting a unit required by simulation; the simulation unit comprises force, length and stress, the unit of the force is cattle, the unit of the length is millimeter, and the unit of the stress is megapascal;
s6, setting parameters: setting the time history and the load amplitude of the bearing, selecting a banner alternating load to carry out fatigue numerical simulation of the bearing, and setting a solving method;
s7, calculating the result: and calculating the fatigue life of the bearing according to the solving method in the step S6 to obtain the life value of the bearing.
2. The method for predicting the service life of the yaw bearing of the wind turbine generator set according to claim 1, wherein the method comprises the following steps: in step S1, the three-dimensional modeling software is pro.
3. The method for predicting the service life of the yaw bearing of the wind turbine generator set according to claim 1, wherein the method comprises the following steps: in step S2, the inner and outer race raceways of the bearing are selected as contact surfaces, the surface of the bearing roller is selected as a target surface, and a contact-cutting pair is created by using a contact guide.
4. The method for predicting the service life of the yaw bearing of the wind turbine generator set according to claim 1, wherein the method comprises the following steps: in the step S3, the radial load force is 30-34 ten thousand N, and the axial load force is 20-24 ten thousand N.
5. The method for predicting the service life of the yaw bearing of the wind turbine generator set according to claim 1, wherein the method comprises the following steps: in step S6, the solution analysis method selects the goodman mean stress modification method among the mean stress modification methods.
6. The method for predicting the service life of the yaw bearing of the wind turbine generator set according to claim 1, wherein the method comprises the following steps: in step S7, the formula is calculated as follows:
c is the rated dynamic load of the bearing, P is the equivalent dynamic load of the bearing, E is a parameter, the value of the ball bearing parameter is 3, and the value of the roller bearing is 10/3.
7. The method for predicting the service life of the yaw bearing of the wind turbine generator set according to claim 1, wherein the method comprises the following steps: in step S7, the calculated result is checked and retested, and each input parameter data is compared, so as to prevent erroneous input of parameters and ensure accuracy of the calculated result.
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| CN114756985A (en) * | 2022-04-01 | 2022-07-15 | 中车大连机车研究所有限公司 | Novel rail transit cylindrical roller bearing design method |
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