CN113642175B - Shot peening deformation numerical simulation method considering coverage rate and path - Google Patents
Shot peening deformation numerical simulation method considering coverage rate and path Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 21
- 238000004088 simulation Methods 0.000 title claims abstract description 16
- 238000005480 shot peening Methods 0.000 title claims abstract description 15
- 238000005422 blasting Methods 0.000 claims abstract description 44
- 239000000463 material Substances 0.000 claims abstract description 17
- 230000008569 process Effects 0.000 claims abstract description 6
- 239000008188 pellet Substances 0.000 claims description 18
- 239000013077 target material Substances 0.000 claims description 11
- 238000006073 displacement reaction Methods 0.000 claims description 6
- 230000009471 action Effects 0.000 claims description 5
- 238000006243 chemical reaction Methods 0.000 claims description 3
- 238000002347 injection Methods 0.000 claims description 3
- 239000007924 injection Substances 0.000 claims description 3
- 238000002844 melting Methods 0.000 claims description 3
- 230000008018 melting Effects 0.000 claims description 3
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- 238000005457 optimization Methods 0.000 abstract description 3
- 238000005516 engineering process Methods 0.000 description 2
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- 238000003754 machining Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
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- 230000004048 modification Effects 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
- 238000005728 strengthening Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 239000002344 surface layer Substances 0.000 description 1
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Abstract
The invention discloses a shot peening deformation numerical simulation method considering coverage rate and paths, which comprises the following steps: calculating a single shot impact model, a number of shots and shot coordinates, calculating a multi-shot impact model and a part deformation prediction model, firstly, establishing the single shot impact model, then calculating the number of shots and the shot coordinates meeting the coverage rate requirement according to the obtained diameter of a pit, secondly, establishing the multi-shot model to obtain a depth-stress curve, thirdly, establishing the part deformation prediction model, endowing a stress value to the part to obtain part deformation, then establishing a new part model, endowing a temperature gradient field to the part, changing the expansion rate of a material to enable the deformation of the part under the temperature gradient field to be similar to that under the stress field, and finally endowing the part with the temperature gradient field according to a path to obtain the deformation of the part under a specific shot blasting path. The invention considers the influence of coverage rate and shot blasting path on the deformation of the part, and in practice, the optimization of process parameters can play a guiding role.
Description
Technical Field
The invention relates to the technical field of shot peening, in particular to a shot peening numerical simulation method considering coverage rate and paths.
Background
Shot peening is a surface strengthening technology, and the surface of a workpiece is sprayed by shot flow moving at a high speed to enable the surface layer of the workpiece to generate uneven plastic deformation, so that a residual compressive stress layer with a certain depth is formed, the fatigue life of a part can be effectively prolonged, and the shot peening method is suitable for various shapes and sizes and widely applied to various fields such as automobiles, aviation and the like. The aviation thin-wall structural member is used as an important structural member of an aircraft fuselage, and is easy to deform after shot blasting due to poor rigidity, so that the influence on the precision of the parts is large. The magnitude of the deformation of the part caused by the shot blast is related to a number of factors including the material characteristics of the part being blasted, the distance and angle of the nozzle of the shot blaster from the workpiece machining surface, and also to shot size, shot impact velocity, shot material, angle of incidence, and coverage, shot path, etc.
In actual peening operations, a large number of peening parameters need to be debugged, and experimental measurement of distortion is expensive and time consuming. Numerical simulation is carried out before actual operation, and parameter optimization is carried out by utilizing the numerical simulation, so that the experiment times can be obviously reduced, the parameter optimization efficiency is improved, and the production cost is saved. The most widely adopted method is to sequentially calculate the impact actions of the shots to obtain a large amount of workpiece deformation caused by the impact actions of the shots, however, when the shot peening numerical simulation is carried out on the actual part, the number of shots required by the actual part is huge, and the calculated amount and cost of the simulation process are unacceptable.
Disclosure of Invention
The invention solves the technical problems that: the numerical simulation method for the shot peening deformation of the large-size part solves the numerical simulation problem of the shot peening deformation of the large-size part, and considers the coverage rate and the influence of the shot peening path on the deformation.
The technical scheme of the invention is as follows:
in order to solve the technical problems, the invention provides a shot peening deformation numerical simulation method considering coverage rate and paths, which comprises the following steps:
the first step, converting shot blasting process parameters into shot velocity according to an empirical formula, wherein the empirical formula is as follows:
wherein V is s To the speed of the projectile, P s For the shot-blasting machine injection pressure, D s In order to obtain the diameter of the bullet,is the flow rate of the projectile;
secondly, acquiring Johnson-Cook material parameters of a part, and establishing a single-pellet impact model in Abaqus, wherein the speed of a pellet is obtained by conversion of an empirical formula in the first step, and the target material of the single-pellet impact model is a cube block with the side length being 5 times the diameter of the pellet;
thirdly, extracting displacement of a target impact area in the single shot impact model along the depth direction, and taking the distance between two points, which is zero in the displacement along the depth direction, as the diameter of a pit;
fourthly, calculating the number of the shots required for meeting the coverage rate requirement, dividing the surface of the target material in Matlab along the length direction and the width direction which are perpendicular to the depth direction, wherein the length direction is divided into m parts, namely the length direction contains m+1 nodes, the width direction is divided into N parts, namely the width direction contains n+1 nodes, N= (m+1) x (n+1) nodes are generated altogether, then, the Matlab is utilized to randomly generate the spherical center coordinates of the shots above the target material, and the shots generated after the spherical center space coordinates of the randomly generated shots meet the space positions of the generated shots are not overlapped;
fifthly, calculating the falling points of the shots on the target according to the speed direction of the shots, calculating the distance from each node to all the shot center falling points, if the minimum value of the distance from a certain node to all the shot center falling points is smaller than the radius of a shot pit, the node is positioned in a shot blasting area, the number of the nodes positioned in the shot blasting area is marked as M, the coverage rate C=M/N multiplied by 100%, if the coverage rate C is smaller than the coverage rate requirement, the number of the shots is increased until C is larger than or equal to the required coverage rate, and recording the number of the shots and the space coordinates of each shot at the moment;
sixth, in order to reduce random errors of simulation results, MATLAB is utilized to generate random coordinates meeting coverage rate requirements for multiple times, the generated results are recorded each time, the average value of the required number of shots solved for multiple times is calculated, and a group of shot coordinates closest to the average value is selected as a solving result;
seventh, taking the pellet coordinate result solved in the sixth step, and establishing a model of the impact of multiple pellets on the target in ABAQUS;
eighth, extracting depth-stress curves in the length direction and the width direction of the target in the multi-shot impact model, and recording stress, transition from a positive value to a negative value, and taking the depth of a certain point approaching to a zero value as shot blasting influence depth;
ninth, a part deformation prediction model is established, a shot blasting path is not considered, stress is given to the part at one time, and the deformation of the part under the condition that the path is not considered, particularly the deformation value of a certain characteristic point of the concerned part, is obtained;
and tenth, a new part finite element model is built, a temperature gradient field is built, the coverage area of the temperature gradient field is a shot blasting area, the depth direction is from the shot blasting surface of the part to the shot blasting influence depth, the temperature of other parts of the part is set to 25 ℃, the maximum temperature value of the temperature gradient field is arbitrary but not larger than the melting point of a material, and the minimum temperature value of the temperature gradient field is set to 25 ℃.
Eleventh, after a period of time, removing the temperature field, wherein the part is plastically deformed under the action of the temperature field, the gradient temperature field is fixed, the expansion coefficient of the material is changed, the part is deformed, and when the deformation amount of the part, particularly the difference value between the deformation value of a certain characteristic point of the concerned part and the deformation value under the stress condition is within an acceptable range, the expansion coefficient of the part is recorded;
and twelfth, establishing a new part finite element model, endowing the expansion coefficient obtained in the eleventh step to a part material, endowing the equivalent temperature field to the part sequentially according to the path sequence of shot blasting, and removing after a period of time, wherein the width of the temperature gradient field endowed according to the path is equal to the width of a shot blasting narrow band, so as to obtain the deformation of the part under different shot blasting path conditions, in particular the deformation value of a certain characteristic point of the concerned part.
The invention has the beneficial effects that: considering the coverage rate and the influence of the shot blasting path on the deformation of the part, the deformation effects of the part under different coverage rates or different shot blasting paths can be compared, so that a more proper shot blasting process scheme is formulated, in the eleventh step, the expansion rate of the material and the deformation value of the part are in monotone relation, the deformation of the part can be easily realized by changing the expansion rate, and particularly, when the difference value between the deformation value of a certain characteristic point of the concerned part and the deformation value under the stress condition is in an acceptable range.
Drawings
FIG. 1 is a flowchart of a method for simulating the deformation of shot blasting in consideration of coverage and paths according to an embodiment of the present invention;
FIG. 2 is a computational flow diagram that meets coverage requirements;
fig. 3 is a flowchart of the random generation of pellet center coordinates.
Detailed Description
What is not described in detail in the present specification is a well known technology to those skilled in the art.
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, a flowchart of a method for simulating shot peening deformation values considering coverage rate and path according to an embodiment of the present invention is shown, and as shown in fig. 1, the method for simulating shot peening deformation values includes the following steps:
the first step, converting shot blasting process parameters into shot velocity according to an empirical formula, wherein the empirical formula is as follows:
wherein V is s To the speed of the projectile, P s For the shot-blasting machine injection pressure, D s In order to obtain the diameter of the bullet,is the flow rate of the projectile;
secondly, acquiring Johnson-Cook material parameters of a part, and establishing a single-pellet impact model in Abaqus, wherein the speed of a pellet is obtained by conversion of an empirical formula in the first step, and the target material of the single-pellet impact model is a cube block with the side length being 5 times the diameter of the pellet;
thirdly, extracting displacement of a target impact area in the single shot impact model along the depth direction, and taking the distance between two points, which is zero in the displacement along the depth direction, as the diameter of a pit;
fourthly, calculating the number of the shots required for meeting the coverage requirement according to a coverage calculation flow chart shown in fig. 2, dividing the surface of the target material in Matlab along a length direction and a width direction which are perpendicular to the depth direction, dividing the surface of the target material into m parts, namely m+1 nodes in the length direction, dividing the surface of the target material into N parts, namely n+1 nodes in the width direction, generating N= (m+1) x (n+1) nodes altogether, and randomly generating the spherical coordinates of the shots above the target material by utilizing Matlab, wherein the spherical coordinates of the shots generated after the spherical space coordinates of the shots generated randomly meet the requirements are not overlapped with the space positions of the generated shots, as shown in the spherical coordinates of the shots generated randomly shown in fig. 3;
fifthly, calculating the falling points of the shots on the target according to the speed direction of the shots, calculating the distance from each node to all the shot center falling points, if the minimum value of the distance from a certain node to all the shot center falling points is smaller than the radius of a shot pit, the node is positioned in a shot blasting area, the number of the nodes positioned in the shot blasting area is marked as M, the coverage rate C=M/N multiplied by 100%, if the coverage rate C is smaller than the coverage rate requirement, the number of the shots is increased until C is larger than or equal to the required coverage rate, and recording the number of the shots and the space coordinates of each shot at the moment;
sixth, in order to reduce random errors of simulation results, MATLAB is utilized to generate random coordinates meeting coverage rate requirements for multiple times, the generated results are recorded each time, the average value of the required number of shots solved for multiple times is calculated, and a group of shot coordinates closest to the average value is selected as a solving result;
seventh, taking the pellet coordinate result solved in the sixth step, and establishing a model of the impact of multiple pellets on the target in ABAQUS;
eighth, extracting depth-stress curves in the length direction and the width direction of the target in the multi-shot impact model, and recording stress, transition from a positive value to a negative value, and taking the depth of a certain point approaching to a zero value as shot blasting influence depth;
ninth, a part deformation prediction model is established, a shot blasting path is not considered, stress is given to the part at one time, and the deformation of the part under the condition that the path is not considered, particularly the deformation value of a certain characteristic point of the concerned part, is obtained;
and tenth, a new part finite element model is built, a temperature gradient field is built, the coverage area of the temperature gradient field is a shot blasting area, the depth direction is from the shot blasting surface of the part to the shot blasting influence depth, the temperature of other parts of the part is set to 25 ℃, the maximum temperature value of the temperature gradient field is arbitrary but not larger than the melting point of a material, and the minimum temperature value of the temperature gradient field is set to 25 ℃.
Eleventh, after a period of time, removing the temperature field, wherein the part is plastically deformed under the action of the temperature field, the gradient temperature field is fixed, the expansion coefficient of the material is changed, the part is deformed, and when the deformation amount of the part, particularly the difference value between the deformation value of a certain characteristic point of the concerned part and the deformation value under the stress condition is within an acceptable range, the expansion coefficient of the part is recorded;
and twelfth, establishing a new part finite element model, endowing the expansion coefficient obtained in the eleventh step to a part material, endowing the equivalent temperature field to the part sequentially according to the path sequence of shot blasting, and removing after a period of time, wherein the width of the temperature gradient field endowed according to the path is equal to the width of a shot blasting narrow band, so as to obtain the deformation of the part under different shot blasting path conditions, in particular the deformation value of a certain characteristic point of the concerned part.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (2)
1. A shot peening deformation numerical simulation method considering coverage rate and path includes: the method comprises the steps of calculating the number of shots and the coordinates of the shots meeting the coverage rate requirement, calculating a multi-shot impact model and a part deformation prediction model, firstly, establishing the single-shot impact model, converting the shot speed in the single-shot impact model through an empirical formula, then, calculating the number of shots and the coordinates of the shots meeting the coverage rate requirement according to the diameter of a pit obtained by the single-shot impact model, secondly, establishing the multi-shot model to obtain a depth-stress curve, thirdly, establishing the part deformation prediction model, endowing a stress value to a part to obtain part deformation, secondly, establishing a new part model, endowing a temperature gradient field to the part, changing the material expansion rate to enable the deformation of the part under the temperature gradient field to be similar to that of the part under the stress field, and finally endowing a temperature gradient field to the part according to a path to obtain the deformation of the part under a specific shot blasting path.
2. The numerical simulation method according to claim 1, wherein: the method comprises the following steps:
the first step, converting shot blasting process parameters into shot velocity according to an empirical formula, wherein the empirical formula is as follows:
wherein V is s To the speed of the projectile, P s For the shot-blasting machine injection pressure, D s In order to obtain the diameter of the bullet,is the flow rate of the projectile;
secondly, acquiring Johnson-Cook material parameters of a part, and establishing a single-pellet impact model in Abaqus, wherein the speed of a pellet is obtained by conversion of an empirical formula in the first step, and the target material of the single-pellet impact model is a cube block with the side length being 5 times the diameter of the pellet;
thirdly, extracting displacement of a target impact area in the single shot impact model along the depth direction, and taking the distance between two points, which is zero in the displacement along the depth direction, as the diameter of a pit;
fourthly, calculating the number of the shots required for meeting the coverage rate requirement, dividing the surface of the target material in Matlab along the length direction and the width direction which are perpendicular to the depth direction, wherein the length direction is divided into m parts, namely the length direction contains m+1 nodes, the width direction is divided into N parts, namely the width direction contains n+1 nodes, N= (m+1) x (n+1) nodes are generated altogether, then, the Matlab is utilized to randomly generate the spherical center coordinates of the shots above the target material, and the shots generated after the spherical center space coordinates of the randomly generated shots meet the space positions of the generated shots are not overlapped;
fifthly, calculating the falling points of the shots on the target according to the speed direction of the shots, calculating the distance from each node to all the shot center falling points, if the minimum value of the distance from a certain node to all the shot center falling points is smaller than the radius of a shot pit, the node is positioned in a shot blasting area, the number of the nodes positioned in the shot blasting area is marked as M, the coverage rate C=M/N multiplied by 100%, if the coverage rate C is smaller than the coverage rate requirement, the number of the shots is increased until C is larger than or equal to the required coverage rate, and recording the number of the shots and the space coordinates of each shot at the moment;
sixth, in order to reduce random errors of simulation results, MATLAB is utilized to generate random coordinates meeting coverage rate requirements for multiple times, the generated results are recorded each time, the average value of the required number of shots solved for multiple times is calculated, and a group of shot coordinates closest to the average value is selected as a solving result;
seventh, taking the pellet coordinate result solved in the sixth step, and establishing a model of the impact of multiple pellets on the target in ABAQUS;
eighth, extracting depth-stress curves in the length direction and the width direction of the target in the multi-shot impact model, and recording stress, transition from a positive value to a negative value, and taking the depth of a certain point approaching to a zero value as shot blasting influence depth;
ninth, a part deformation prediction model is established, a shot blasting path is not considered, stress is given to the part at one time, and the deformation of the part under the condition that the path is not considered, particularly the deformation value of a certain characteristic point of the concerned part, is obtained;
a tenth step of establishing a new part finite element model, and establishing a temperature gradient field, wherein the coverage area of the temperature gradient field is a shot blasting area, the depth direction is from the shot blasting surface of the part to the shot blasting influence depth, the temperature of other parts of the part is set to 25 ℃, the maximum temperature value of the temperature gradient field is arbitrary but not greater than the melting point of a material, and the minimum temperature value of the temperature gradient field is set to 25 ℃;
eleventh, after a period of time, removing the temperature field, wherein the part is plastically deformed under the action of the temperature field, the gradient temperature field is fixed, the expansion coefficient of the material is changed, the part is deformed, and when the deformation amount of the part, particularly the difference value between the deformation value of a certain characteristic point of the concerned part and the deformation value under the stress condition is within an acceptable range, the expansion coefficient of the part is recorded;
and twelfth, establishing a new part finite element model, endowing the expansion coefficient obtained in the eleventh step to a part material, endowing the equivalent temperature field to the part sequentially according to the path sequence of shot blasting, and removing after a period of time, wherein the width of the temperature gradient field endowed according to the path is equal to the width of a shot blasting narrow band, so as to obtain the deformation of the part under different shot blasting path conditions, in particular the deformation value of a certain characteristic point of the concerned part.
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| CN117951967B (en) * | 2024-03-26 | 2024-07-12 | 成都飞机工业（集团）有限责任公司 | Shot-blasting forming simulation method, device, equipment and medium |
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| CN109359365A (en) * | 2018-09-30 | 2019-02-19 | 北京航空航天大学 | A kind of shot-blast process method for numerical simulation considering bullet stochastic effects |
| CN111546017A (en) * | 2020-05-28 | 2020-08-18 | 上海工程技术大学 | Method for correcting and strengthening prestress of welded light alloy medium and heavy plates |
| CN111814373A (en) * | 2020-07-07 | 2020-10-23 | 重庆大学 | Method for predicting microstructure evolution of shot peening strengthening material |
| CN112417666A (en) * | 2020-11-17 | 2021-02-26 | 中国航空制造技术研究院 | Numerical simulation method for prestressed shot blasting forming of ribbed wallboard |
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| CN109359365A (en) * | 2018-09-30 | 2019-02-19 | 北京航空航天大学 | A kind of shot-blast process method for numerical simulation considering bullet stochastic effects |
| CN111546017A (en) * | 2020-05-28 | 2020-08-18 | 上海工程技术大学 | Method for correcting and strengthening prestress of welded light alloy medium and heavy plates |
| CN111814373A (en) * | 2020-07-07 | 2020-10-23 | 重庆大学 | Method for predicting microstructure evolution of shot peening strengthening material |
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