CN112030093A - Method for acquiring optimal path spacing of flame aluminum spraying of robot - Google Patents
Method for acquiring optimal path spacing of flame aluminum spraying of robot Download PDFInfo
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- CN112030093A CN112030093A CN202010682900.4A CN202010682900A CN112030093A CN 112030093 A CN112030093 A CN 112030093A CN 202010682900 A CN202010682900 A CN 202010682900A CN 112030093 A CN112030093 A CN 112030093A
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- C—CHEMISTRY; METALLURGY
- C23—COATING METALLIC MATERIAL; COATING MATERIAL WITH METALLIC MATERIAL; CHEMICAL SURFACE TREATMENT; DIFFUSION TREATMENT OF METALLIC MATERIAL; COATING BY VACUUM EVAPORATION, BY SPUTTERING, BY ION IMPLANTATION OR BY CHEMICAL VAPOUR DEPOSITION, IN GENERAL; INHIBITING CORROSION OF METALLIC MATERIAL OR INCRUSTATION IN GENERAL
- C23C—COATING METALLIC MATERIAL; COATING MATERIAL WITH METALLIC MATERIAL; SURFACE TREATMENT OF METALLIC MATERIAL BY DIFFUSION INTO THE SURFACE, BY CHEMICAL CONVERSION OR SUBSTITUTION; COATING BY VACUUM EVAPORATION, BY SPUTTERING, BY ION IMPLANTATION OR BY CHEMICAL VAPOUR DEPOSITION, IN GENERAL
- C23C4/00—Coating by spraying the coating material in the molten state, e.g. by flame, plasma or electric discharge
- C23C4/04—Coating by spraying the coating material in the molten state, e.g. by flame, plasma or electric discharge characterised by the coating material
- C23C4/06—Metallic material
- C23C4/08—Metallic material containing only metal elements
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- C—CHEMISTRY; METALLURGY
- C23—COATING METALLIC MATERIAL; COATING MATERIAL WITH METALLIC MATERIAL; CHEMICAL SURFACE TREATMENT; DIFFUSION TREATMENT OF METALLIC MATERIAL; COATING BY VACUUM EVAPORATION, BY SPUTTERING, BY ION IMPLANTATION OR BY CHEMICAL VAPOUR DEPOSITION, IN GENERAL; INHIBITING CORROSION OF METALLIC MATERIAL OR INCRUSTATION IN GENERAL
- C23C—COATING METALLIC MATERIAL; COATING MATERIAL WITH METALLIC MATERIAL; SURFACE TREATMENT OF METALLIC MATERIAL BY DIFFUSION INTO THE SURFACE, BY CHEMICAL CONVERSION OR SUBSTITUTION; COATING BY VACUUM EVAPORATION, BY SPUTTERING, BY ION IMPLANTATION OR BY CHEMICAL VAPOUR DEPOSITION, IN GENERAL
- C23C4/00—Coating by spraying the coating material in the molten state, e.g. by flame, plasma or electric discharge
- C23C4/12—Coating by spraying the coating material in the molten state, e.g. by flame, plasma or electric discharge characterised by the method of spraying
- C23C4/129—Flame spraying
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2111/00—Details relating to CAD techniques
- G06F2111/10—Numerical modelling
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- Geometry (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Computer Hardware Design (AREA)
- Coating By Spraying Or Casting (AREA)
- Application Of Or Painting With Fluid Materials (AREA)
Abstract
The invention discloses a method for acquiring the optimal path spacing of flame spraying aluminum of a robot. For automatic flame aluminum spraying robot equipment, the invention can avoid the situation that a better solution of the path distance can be obtained only by adjusting the test once and again, and scientific and reasonable parameters are obtained through measurement, derivation and fitting calculation, so that the process is relatively simple and accurate, and the efficiency is high. In the invention, when the path distance of flame aluminum spraying is equal to the normal distribution standard deviation of a single spraying cross section, the obtained coating has better quality.
Description
Technical Field
The invention belongs to the technical field of aircraft manufacturing, and particularly relates to a method for acquiring an optimal path interval of flame aluminum spraying of a robot.
Background
Advanced Composite Materials (ACM) mainly refer to reinforced resin-based composite materials such as high-performance fibers (such as boron fibers, carbon fibers and aramid fibers), the use proportion of the high-performance composite materials in the field of aerospace is greatly improved along with the maturity of material processes and the improvement of product quality, and metal parts are gradually replaced by the Advanced composite materials with the advantages of high temperature resistance, fatigue resistance, damping and shock absorption, good breakage safety, designable performance and the like, so that the Advanced composite materials are applied to the surface of modern aircrafts.
However, the composite material has the defects of poor conductivity, high resistivity and the like, and the lightning stroke event of the airplane sometimes happens at home and abroad in the flying process. Because the composite material aircraft structure can not rapidly conduct current when suffering from lightning stroke, the lightning generates strong current to form an electromagnetic field, light radiation, shock waves and electric arcs, and the flight safety is seriously influenced.
The lightning protection technology of the composite material is mainly 4 kinds, namely a net foil protection method, a surface layer protection method, a composite adhesive film protection method and a protection method by adding a conductive material. Flame spraying aluminum is one of the most commonly used surface layer protection methods, including B787 and a plurality of types of composite material external members all adopt a flame spraying aluminum process, but at present, the research on a robot automatic aluminum spraying process method in China is very little.
The manual flame aluminum spraying process is greatly influenced by operator factors, the coating uniformity is poor, the uncontrollable performance is high, the automation of the robot can effectively improve the coating quality of flame aluminum spraying and the stability of products, a good and effective lightning protection structure is formed, and the reliability and the safety of airplane flight are ensured. The path spacing parameter is one of the most important parameters in the automatic flame spraying aluminum technology of the robot, and the optimal solution can be obtained by adjusting the test once and again in the past.
Disclosure of Invention
The invention aims to provide a method for acquiring the optimal path distance of flame spraying aluminum of a robot, and aims to solve the technical problem of setting the path parameters of an automatic flame spraying robot. The method can quickly, effectively and scientifically solve the problem of setting the path distance parameters of automatic flame aluminum spraying of the robot by resistance measurement, equation derivation and section thickness gradient normal fitting.
The invention is mainly realized by the following technical scheme: a method for obtaining the optimal path spacing of flame spraying aluminum of a robot comprises the steps of measuring the thickness gradient value of the cross section of a single spraying track, fitting a normal distribution curve to obtain a thickness gradient fitting curve of the single spraying cross section of the flame spraying aluminum, and using the normal distribution standard deviation as the path spacing of automatic flame spraying aluminum of the robot.
To better implement the present invention, further, an equation of the flame sprayed aluminum coating thickness and the resistance value is fitted, and the equation of the flame sprayed aluminum coating thickness and the resistance value is as follows:
wherein the coefficient k1、k2In connection with aluminum wire materials;
t is the thickness of the flame sprayed aluminum coating;
r is the resistance of flame spraying aluminum.
To better implement the present invention, further, several sets of data were collected and calculated using MATLAB fit, resulting in:
and (3) further solving the formula (1) to obtain a formula (2).
In order to better realize the method, the resistance value is further measured along the central axis of the cross section and contour lines on two sides, the corresponding thickness is obtained through solving the formula (2), and then the normal curve is used for fitting to obtain a flame aluminum spraying single-strip spraying cross section thickness gradient fitting curve.
In order to better realize the invention, a single track is sprayed on a flat plate test piece, contour lines of the central axis and two sides are found out on the cross section, the resistance of a plurality of points is measured on each line and averaged, and finally the average value of the resistance is substituted into the formula (2) to obtain the average value of the thickness.
To better practice the invention, further, 10 points of resistance were measured on each line and averaged.
The invention has the beneficial effects that:
for automatic flame aluminum spraying robot equipment, the invention can avoid the situation that a better solution of the path distance can be obtained only by adjusting the test once and again, and scientific and reasonable parameters are obtained through measurement, derivation and fitting calculation, so that the process is relatively simple and accurate, and the efficiency is high. In the invention, when the path distance of flame aluminum spraying is equal to the normal distribution standard deviation of a single spraying cross section, the obtained coating has better quality.
Drawings
FIG. 1 is a schematic illustration of a flame spray aluminum path trace;
FIG. 2 is a graph of the relationship between the thickness of the flame sprayed aluminum layer and the resistance;
FIG. 3 is a schematic cross-sectional view of a flame sprayed aluminum strand;
FIG. 4 is a fitting curve of the thickness gradient of a single sprayed cross section of flame sprayed aluminum;
FIG. 5 is a graph of the variation of the cumulative thickness fit curve with the measured thickness mean for a path spacing σ.
Detailed Description
Example 1:
because of the sputtering properties of flame sprayed aluminum, the uniformity of the coating needs strict control of process parameters to be ensured. As shown in fig. 1, to achieve coating thickness uniformity, flame aluminizing processes typically employ overlap spraying, with the path spacing among the process parameters determining the overlap width. The path spacing is one of the most important parameters of the flame spraying aluminum technology of the robot automation, and directly influences the quality of the coating. The invention provides a method for acquiring the optimal path distance of flame aluminum spraying of a robot, which mainly comprises the following steps:
(1) relationship between flame sprayed aluminum coating thickness and resistance value
Firstly, because the coating of flame aluminum spraying is thin (the thickness of the aluminum layer on the surface of a qualified part is only 0.07mm), the direct measurement is difficult, and the thickness of the aluminum layer is solved by measuring the resistance and solving a fitting equation between the resistance and the thickness of the coating.
And (3) fitting a mathematical relation between R and t through data by setting the flame aluminum spraying resistance as R and the aluminum layer thickness as t. Collecting multiple groups of data, and performing MATLAB fitting calculation to obtain:
wherein the coefficient k1、k2Mainly related to the aluminum wire material and other factors. The solution equation for the thickness t is:
substituting the experimental data, and fitting by MATLAB programming to obtain the fitting relationship shown in FIG. 2 (wherein the dotted line indicates that the interval between two points is the optimal effective data range).
(2) Normal fitting curve for gradual change of thickness of single flame aluminum spraying cross section
As shown in fig. 3, a single track is sprayed on a flat test piece, contour lines of the central axis and two sides are found on the cross section, then 10 points of resistance are measured on each line to obtain an average value, finally the average value of the resistance is converted into an average value of the thickness by using a formula (2), and the cross section is fitted by using a normal curve to obtain a fitting curve of the thickness gradient of the single sprayed cross section of the flame sprayed aluminum, as shown in fig. 4.
The core of the invention is: when the path distance a of flame aluminum spraying is equal to the normal distribution standard deviation sigma of a single spraying cross section, better coating quality can be obtained.
The method is effective and verified:
data fitting was performed using MATLAB programming, and FIG. 5 shows the cross-section of FIG. 4 after moving it in the positive X-axis direction by σ, 2 σ, 3 σ, 4 σ, and 5 σ … …, respectively, and then the plurality of railsThe thickness of the traces add up to form a total thickness curve. It can be seen that, starting from the initial position of spraying, the path pitch is doubled in the positive X-axis direction, and as shown in fig. 5, in the present exemplary case, 2 σ is 30 mm. The spray thickness begins to stabilize. Setting the thickness value obtained by the fitting method as ta(dotted straight line in FIG. 5), and the thickness value obtained by the actual measurement method is tb(solid straight line in FIG. 5), t in this embodimentaAnd tbIs typically within 5% to confirm that the fit is valid.
For automatic flame aluminum spraying robot equipment, the invention can avoid the situation that a better solution of the path distance can be obtained only by adjusting the test once and again, and scientific and reasonable parameters are obtained through measurement, derivation and fitting calculation, so that the process is relatively simple and accurate, and the efficiency is high. In the invention, when the path distance of flame aluminum spraying is equal to the normal distribution standard deviation of a single spraying cross section, the obtained coating has better quality.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention in any way, and all simple modifications and equivalent variations of the above embodiments according to the technical spirit of the present invention are included in the scope of the present invention.
Claims (6)
1. The method for obtaining the optimal path distance of the flame spraying aluminum of the robot is characterized in that the thickness gradient value of the cross section of a single spraying track is measured, a normal distribution curve is fitted to obtain the thickness gradient fitting curve of the single spraying cross section of the flame spraying aluminum, and the normal distribution standard deviation is used as the path distance of the automatic flame spraying aluminum of the robot.
2. The method of claim 1, wherein an equation of the flame sprayed aluminum coating thickness and the resistance value is fitted, and the equation of the flame sprayed aluminum coating thickness and the resistance value is as follows:
wherein the coefficient k1、k2In connection with aluminum wire materials;
t is the thickness of the flame sprayed aluminum coating;
r is the resistance of flame spraying aluminum.
3. The method for acquiring the optimal path interval of the robot flame spraying aluminum according to claim 2, wherein a plurality of groups of data are acquired and are calculated by MATLAB fitting, and the following results are obtained:
and (3) further solving the formula (1) to obtain a formula (2).
4. The method for acquiring the optimal path spacing of the flame spraying aluminum robot as claimed in claim 2 or 3, wherein the resistance value is measured along the central axis of the cross section and contour lines on two sides, the corresponding thickness is obtained by solving the formula (2), and then a fitting curve of the normal curve is used for obtaining a fitting curve of the thickness gradient of the single flame spraying aluminum cross section.
5. The method for obtaining the optimal path distance between the flame spraying aluminum of the robot as claimed in claim 2, wherein a single track is sprayed on a flat test piece, contour lines of the central axis and two sides are found out on the cross section, the resistance of a plurality of points is measured on each line and averaged, and finally the average value of the resistance is substituted into the formula (2) to obtain the average value of the thickness.
6. The method of claim 2, wherein the resistance of 10 points is measured on each line and averaged.
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| CN202010682900.4A CN112030093A (en) | 2020-07-15 | 2020-07-15 | Method for acquiring optimal path spacing of flame aluminum spraying of robot |
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| CN202010682900.4A CN112030093A (en) | 2020-07-15 | 2020-07-15 | Method for acquiring optimal path spacing of flame aluminum spraying of robot |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113051522A (en) * | 2021-03-31 | 2021-06-29 | 成都飞机工业（集团）有限责任公司 | Calibration method for automatic flame aluminum spraying resistor |
| CN115889121A (en) * | 2022-12-09 | 2023-04-04 | 东方电气集团东方汽轮机有限公司 | Large-area uniform spraying method for complex special-shaped combustion engine blade coating |
| CN117070873A (en) * | 2023-10-10 | 2023-11-17 | 中国海洋大学 | Thermal spraying process for preparing micro-groove drag reduction surface |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0358906B1 (en) * | 1988-08-25 | 1992-09-09 | Braun Aktiengesellschaft | Sole plate for a hand iron |
| CN102385646A (en) * | 2010-09-03 | 2012-03-21 | 上海华虹Nec电子有限公司 | Correction method for device mismatch of MOS (Metal Oxide Semiconductor) transistors |
| CN102683240A (en) * | 2012-05-09 | 2012-09-19 | 上海宏力半导体制造有限公司 | Method for evaluating performance of deposited film |
| CN106646635A (en) * | 2016-12-26 | 2017-05-10 | 张鑫 | Modified line source resistivity continuous measurement method |
| CN107543487A (en) * | 2016-06-27 | 2018-01-05 | 北京北方华创微电子装备有限公司 | A kind of film thickness monitoring method and device in situ |
| CN107664998A (en) * | 2016-07-29 | 2018-02-06 | 深圳市沃特玛电池有限公司 | The thickness control device and method of a kind of electrode plates |
-
2020
- 2020-07-15 CN CN202010682900.4A patent/CN112030093A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0358906B1 (en) * | 1988-08-25 | 1992-09-09 | Braun Aktiengesellschaft | Sole plate for a hand iron |
| CN102385646A (en) * | 2010-09-03 | 2012-03-21 | 上海华虹Nec电子有限公司 | Correction method for device mismatch of MOS (Metal Oxide Semiconductor) transistors |
| CN102683240A (en) * | 2012-05-09 | 2012-09-19 | 上海宏力半导体制造有限公司 | Method for evaluating performance of deposited film |
| CN107543487A (en) * | 2016-06-27 | 2018-01-05 | 北京北方华创微电子装备有限公司 | A kind of film thickness monitoring method and device in situ |
| CN107664998A (en) * | 2016-07-29 | 2018-02-06 | 深圳市沃特玛电池有限公司 | The thickness control device and method of a kind of electrode plates |
| CN106646635A (en) * | 2016-12-26 | 2017-05-10 | 张鑫 | Modified line source resistivity continuous measurement method |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113051522A (en) * | 2021-03-31 | 2021-06-29 | 成都飞机工业（集团）有限责任公司 | Calibration method for automatic flame aluminum spraying resistor |
| CN113051522B (en) * | 2021-03-31 | 2022-01-25 | 成都飞机工业（集团）有限责任公司 | Calibration method for automatic flame aluminum spraying resistor |
| CN115889121A (en) * | 2022-12-09 | 2023-04-04 | 东方电气集团东方汽轮机有限公司 | Large-area uniform spraying method for complex special-shaped combustion engine blade coating |
| CN115889121B (en) * | 2022-12-09 | 2023-12-22 | 东方电气集团东方汽轮机有限公司 | Large-area uniform spraying method for complex special-shaped gas turbine blade coating |
| CN117070873A (en) * | 2023-10-10 | 2023-11-17 | 中国海洋大学 | Thermal spraying process for preparing micro-groove drag reduction surface |
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