CN116227149A - System and method for detecting matching degree of die products - Google Patents
System and method for detecting matching degree of die products Download PDFInfo
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Abstract
The invention discloses a system and a method for detecting the coordination degree of a die product, and relates to the technical field of dies, wherein the system comprises a measuring unit, a measuring value and a standard value for obtaining the specification of the die, the measuring value is compared with the standard value, whether deviation exists or not is judged, and correction is carried out to obtain a correction value; the modeling unit is used for forming correction values based on the standard value and the measured value of the die, respectively establishing a three-dimensional model of the die, and respectively marking the actual value and the replacement value; the judging unit is used for imaging the movement process of the die, constructing a movement model, performing simulation test on the movement state of the die, and determining the coordination degree after the simulation test; and the correction unit is used for determining a correction sequence, correcting the mold parameters and redefining the mold coordination degree. On the basis of completing the detection of the die adaptation degree, the die parameters and the corresponding die adaptation degree are optimized, the optimal die adaptation degree and the corresponding parameters are finally obtained, and finally the whole die adaptation degree detection flow is completed.
Description
Technical Field
The invention relates to the technical field of dies, in particular to a die product coordination degree detection system and method.
Background
The mould is a tool for manufacturing a molded article, is composed of various parts, mainly realizes the processing of the appearance of the article through the change of the physical state of the molded material, and is a variety of moulds and tools for obtaining required products by injection molding, blow molding, extrusion, die casting or forging, smelting, stamping and other methods in industrial production.
Tolerance fit means a clearance between the hole and the shaft fit, because of errors in the manufacturing accuracy of the mold due to equipment, labor costs, technical requirements, etc. during the manufacturing process, a reasonable value is selected among the errors, which is the degree of mold fit, wherein the fit clearance is divided into transition fit, interference fit, and clearance fit.
After the die is used for a period of time, the matching degree of the die needs to be detected, so that whether the accuracy of the die meets the requirement is judged. The existing detection method of the mold matching degree generally measures the specification parameters of the mold, models according to the parameters and calculates the matching degree of the mold based on a three-dimensional model, but certain errors exist in data during mold measurement, and the actual matching degree is inconsistent with the calculated matching degree.
Disclosure of Invention
(one) solving the technical problems
Aiming at the defects of the prior art, the invention provides a system and a method for detecting the coordination degree of a die product, wherein a measuring unit is arranged, a measured value of a die specification and a standard value are obtained, the measured value is compared with the standard value, whether deviation exists or not is judged, correction is carried out, and a correction value is obtained; the modeling unit is used for forming correction values based on the standard value and the measured value of the die, respectively establishing a three-dimensional model of the die, and respectively marking the actual value and the replacement value; the judging unit is used for imaging the movement process of the die, constructing a movement model, performing simulation test on the movement state of the die, and determining the coordination degree after the simulation test; and the correction unit is used for determining a correction sequence, correcting the mold parameters, redefining the mold matching degree, optimizing the mold parameters and the corresponding mold matching degree, finally obtaining the optimal mold matching degree and the corresponding parameters, and finally completing the whole mold matching degree detection flow, thereby solving the problems in the background technology.
(II) technical scheme
In order to achieve the above purpose, the invention is realized by the following technical scheme: the method for detecting the matching degree of the die product comprises the following steps of firstly, measuring the specification of a die, obtaining a measured value, obtaining a standard value of the die design, comparing the measured value with the standard value, and judging whether deviation exists or not; if yes, evaluating whether the deviation exceeds the expected value, and if yes, correcting to obtain a corrected value;
the first step comprises the following steps: step 101, cleaning the die after the service time of the die is determined, so that the surface of the die keeps smooth and clean, and the measurement of the die is not affected; 102, measuring the specification of the die by combining with a die design drawing, obtaining an average value after measuring for a plurality of times, recording the average value as a measured value, and recording the position for forming corresponding data; step 103, obtaining a standard value of a die specification from a die design drawing, comparing a measured value with an average value, determining the error proportion, and outputting the error proportion; 104, accumulating all error proportions, obtaining an error value, comparing the error value with a corresponding threshold value, judging whether the error value exceeds the threshold value, and outputting a measured value if the error value does not exceed the threshold value; if the threshold value is exceeded, outputting the measured value and the standard value;
forming correction values based on the standard value and the measured value of the die, respectively establishing a three-dimensional model of the die, and respectively marking the actual value and the replacement value; step three, after the three-dimensional model of the die is obtained, imaging is carried out on the movement process of the die, a movement model is constructed based on imaging information, a simulation test is carried out on the movement state of the die, the coordination degree after the simulation test is determined, and whether the coordination degree meets the requirement is judged; and step four, determining a correction sequence, correcting the parameters of the mould, modeling according to corrected data, and re-determining the coordination degree of the mould according to the movement model of the mould.
Further, the second step includes: step 201, sequentially obtaining a standard value and a measured value of a die, and establishing a standard value data set and a measured value data set; step 202, determining the error proportion of each measured value according to a design drawing of a corresponding mould, determining the measured value and the standard value at the corresponding position when the error proportion exceeds a corresponding threshold value, obtaining the average value of the measured value and the standard value, and determining the average value as a corrected value; replacing the measured value with the correction value, and marking the replacement position to form a correction value data set; step 203, respectively establishing a three-dimensional model of the mold based on the standard value data set, the measured value data set and the corrected value data set, and recording the three-dimensional model as a standard model, a measured model and a corrected model; in the correction model, the positions related to the correction values are marked.
Further, the third step includes: step 301, setting an imaging device along the periphery of a die, imaging the working state of the die, acquiring imaging information, and uploading the acquired imaging information to a cloud; step 302, determining a conventional working state of the mold according to imaging information through image recognition, wherein the conventional working state refers to a state of the mold in normal working, and extracting working state data; step 303, based on the imaging information and the working state data, the working process of the mold in the normal state is visualized, and process information is formed.
Further, the step 303 is further followed by: step 304, combining the process information and the three-dimensional model of the mold, simulating the working state of the mold, establishing a mold motion model, and uploading the mold motion model to a cloud for backup; step 305, repeatedly realizing the mould motion model for a plurality of times, realizing a simulation test, and after finishing the simulation test, obtaining the matching degree of the mould to respectively form a standard matching degree, a measurement matching degree and a correction matching degree; and 306, combining the standard coordination degree, the measurement coordination degree and the correction coordination degree, acquiring deviation values among the three parts after correlation, and re-measuring the die data if the deviation values are out of expectation.
Further, the method for calculating the deviation value is as follows: the standard coordination degree Bp, the measurement coordination degree Cp and the correction coordination degree Xp are obtained, normalization processing is carried out, the average coordination degree Pp is obtained, the deviation value Pc is formed by association, and the association method accords with the following formula:
wherein, alpha is more than or equal to 0 and less than or equal to 1, beta is more than or equal to 0 and less than or equal to 1, gamma is more than or equal to 0 and less than or equal to 1, alpha+beta+gamma is less than or equal to 1, alpha, beta and gamma are weights, specific values are adjusted and set by a user, C is a correction coefficient, and the correction coefficient is set by the user or obtained by function simulation.
Further, after step 306, there is also: step 307, comparing the standard coordination degree, the measured coordination degree and the corrected coordination degree with a threshold value of the coordination degree, and judging whether the coordination degree of the die is within the threshold value; if at least one of the quasi-coordination degree, the measurement coordination degree and the correction coordination degree does not accord with the coordination degree threshold value, the communication is carried out to the outside; and 308, determining the fit degree, measuring the fit degree and correcting the fit degree to be the most distant one from the fit degree threshold value, determining the fit degree as the die fit degree, determining the data at each position of the model, and determining the expected value as the die parameter.
Further, the fourth step includes: step 401, judging the participation degree of each part of the mold in the molding of the part based on the movement state of the mold, and assigning values according to the participation degree so as to form participation values; step 402, obtaining corresponding size information and deviation proportion values on each size, associating the corresponding size information and deviation proportion values on each size, and obtaining correction priority.
Further, the association method of the correction priority is as follows: the participation value Cy and the deviation proportion Pl are obtained, normalization processing is carried out, the correction priority Xz is formed through association, and the association method accords with the following formula:
wherein, delta is more than or equal to 0 and less than or equal to 1, theta is more than or equal to 0 and less than or equal to 1, delta+theta is less than or equal to 1, delta and theta are weights, the specific values of the weights are adjusted and set by a user, and the correlation coefficient between the participation value Cy and the deviation proportion Pl is R.
Further, step 402 further includes: step 403, sorting the correction priorities, determining a correction sequence, correcting each size position successively on the basis of the expected value of the mold parameter according to the correction sequence, and determining a correction result; step 404, obtaining a correction result, determining the influence degree of the matching degree of the die, and determining whether the matching degree of the die can be changed in a forward direction, if so, namely, the matching degree of the die can be optimized, continuing to perform multiple tests until the matching degree of the die is not changed in the forward direction; step 405, sequentially correcting other positions according to the correction sequence until all positions are corrected, outputting corrected data, and determining the corrected data as an optimized value of the mold parameter; 406, acquiring an optimized value after the dimensional data of the mold part is corrected, establishing a three-dimensional mold model again, re-simulating the movement process of the mold, and acquiring the mold matching degree again after completing the movement simulation test for the preset times; judging whether the matching degree of the die after the simulation test is within a preset range, if so, outputting corrected parameters, and determining the die size parameters corresponding to the die optimization value until the matching degree reaches the standard; if not, the alarm is given to the outside.
A mold article coordination detection system, comprising: the measuring unit is used for obtaining a measured value of the die specification and a standard value, comparing the measured value with the standard value, judging whether deviation exists or not, and correcting to obtain a corrected value; the modeling unit is used for forming correction values based on the standard value and the measured value of the die, respectively establishing a three-dimensional model of the die, and respectively marking the actual value and the replacement value; the judging unit is used for imaging the movement process of the die, constructing a movement model, performing simulation test on the movement state of the die, and determining the coordination degree after the simulation test; and the correction unit is used for determining a correction sequence, correcting the parameters of the die, modeling according to corrected data and determining the matching degree of the die again.
(III) beneficial effects
The invention provides a system and a method for detecting the coordination degree of a die product. The beneficial effects are as follows:
through the measurement of the die, the standard value, the measured value and the corrected value of the die parameter are obtained, different die matching degrees are obtained on the basis of modeling and simulation test, and under different scenes, a user can select different die matching degrees to evaluate the die, so that the die is suitable for more use scenes.
Through modeling and simulation test, the die adaptation degree data with stronger adaptability to actual use scenes can be obtained on the basis of actual measurement, meanwhile, the change of the die adaptation degree can be established to establish expectations, and the prediction of the service life of the die can be indirectly completed.
By establishing the correction priority and correcting the mold parameters in sequence, the mold parameters and the corresponding mold adaptation degree can be optimized on the basis of completing the mold adaptation degree detection, the optimal mold adaptation degree and the corresponding parameters are finally obtained, and the whole mold adaptation degree detection flow is finally completed.
Drawings
FIG. 1 is a schematic flow chart of a method for detecting the coordination degree of a die product;
FIG. 2 is a schematic diagram of a system for detecting the degree of fit of a product according to the present invention;
FIG. 3 is a schematic diagram of the average matching degree and the correction priority according to the present invention.
In the figure: 10. a measuring unit; 20. a modeling unit; 30. a judging unit; 40. and a correction unit.
Detailed Description
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.
Example 1
Referring to fig. 1-3, the present invention provides a method for detecting the matching degree of a mold product, comprising the following steps:
step one, measuring the specification of a die, acquiring a measured value, acquiring a standard value of die design, comparing the measured value with the standard value, and judging whether deviation exists; if yes, evaluating whether the deviation exceeds the expected value, and if yes, correcting to obtain a corrected value;
the first step comprises the following steps:
step 101, cleaning the die after the service time of the die is determined, so that the surface of the die keeps smooth and clean, and the measurement of the die is not affected; if more contaminants exist on the surface of the die, the accuracy of the die is greatly affected;
102, measuring the specification of the die by combining with a die design drawing, obtaining an average value after measuring for a plurality of times, recording the average value as a measured value, and recording the position for forming corresponding data;
step 103, obtaining a standard value of a die specification from a die design drawing, comparing a measured value with an average value, determining the error proportion, and outputting the error proportion; in fact, there are one or more places where there is a large gap between the measured value and the standard value of the die, so there are also a plurality of error proportions;
104, accumulating all error proportions, obtaining an error value, comparing the error value with a corresponding threshold value, judging whether the error value exceeds the threshold value, and outputting a measured value if the error value does not exceed the threshold value; if the threshold value is exceeded, outputting the measured value and the standard value;
when the method is used, the standard value and the measured value are obtained by measuring the size of the die in combination with the contents in the steps 101 to 104, and the matching degree of the die is generally satisfactory when the die is just produced, but after a certain period of use, the die can generate certain deformation due to a large amount of external force applied for a long time, so that the matching degree is obtained based on the standard value when the matching degree is evaluated, and the matching degree obtained by the measured value is the actual matching degree.
Forming correction values based on the standard value and the measured value of the die, respectively establishing a three-dimensional model of the die, and respectively marking the actual value and the replacement value; and based on the standard value, the measured value and the corrected value, carrying out comprehensive evaluation on the matching degree of the die.
The second step comprises the following contents:
step 201, sequentially obtaining a standard value and a measured value of a die, and establishing a standard value data set and a measured value data set;
step 202, determining the error proportion of each measured value according to a design drawing of a corresponding mould, determining the measured value and the standard value at the corresponding position when the error proportion exceeds a corresponding threshold value, obtaining the average value of the measured value and the standard value, and determining the average value as a corrected value; replacing the measured value with the correction value, and marking the replacement position to form a correction value data set;
step 203, respectively establishing a three-dimensional model of the mold based on the standard value data set, the measured value data set and the corrected value data set, and recording the three-dimensional model as a standard model, a measured model and a corrected model; marking a position related to the correction value in the correction model;
thus, when the corrected mold is obtained, the corrected position can be determined, and it can be determined that the dimensional parameter of the position is corrected.
When the method is used, correction values are formed according to the standard values and the measured values, three-dimensional models of the die are respectively established, the expected matching degree, the actual matching degree and the correction matching degree of the die are conveniently determined, and the correction matching degree can be used as a reference result of the detection of the matching degree of the die.
Step three, after the three-dimensional model of the die is obtained, imaging is carried out on the movement process of the die, a movement model is constructed based on imaging information, a simulation test is carried out on the movement state of the die, the coordination degree after the simulation test is determined, and whether the coordination degree meets the requirement is judged;
by establishing a motion model of the die and performing simulation test, the actual service life of the die can be detected approximately, the final matching degree of the die is determined, and the die is convenient to maintain.
The third step comprises the following steps:
step 301, setting an imaging device along the periphery of a die, imaging the working state of the die, acquiring imaging information, and uploading the acquired imaging information to a cloud;
step 302, determining a conventional working state of the mold according to imaging information through image recognition, wherein the conventional working state refers to a state of the mold in normal working, and extracting working state data; such as working temperature, stress and force application conditions, material performance data, movement speed and the like;
step 303, based on imaging information and working state data, performing visual processing on the working process of the die in a normal state to form process information; the visual information can be realized by simulation software, and a user can simulate the working state of the die after inputting parameters, and judge the working performance of the die based on simulation data.
Step 304, combining the process information and the three-dimensional model of the mold, simulating the working state of the mold, and establishing a mold motion model; in practice, considering that there are three-dimensional models of the mold, there are also three that form the mold motion model; after the motion model of the mold is determined, the mold motion model can be uploaded to the cloud for backup.
Step 305, repeatedly realizing the mould motion model for a plurality of times, realizing a simulation test, and after finishing the simulation test, obtaining the matching degree of the mould to respectively form a standard matching degree, a measurement matching degree and a correction matching degree;
in combination with the contents of steps 301 to 305, the method is realized by modeling and simulation test in the step, compared with the method of judging the degree of matching of the die by adopting an actual measurement value, and because the data of the basic test are obtained by the actual measurement, error accumulation can be reduced compared with the method of measuring the degree of matching based on the measurement data, so that the degree of matching of the die obtained by modeling and simulation test is closer to the actual data, and compared with the actual measurement, the degree of visualization is higher, and errors are easier to find.
It should be noted that, the measuring method of the tolerance fit of the mold is a well-known means for those skilled in the art, and the disclosure is not made in this scheme; considering that each type of die has a corresponding tolerance fit standard table, the fit threshold of the die can be determined according to the type of the die; similarly, the threshold of the degree of matching is also common knowledge in the art, and can be easily known to those skilled in the art.
Step 306, combining the standard coordination degree, the measurement coordination degree and the correction coordination degree, acquiring deviation values among the three, if the deviation value is within a threshold value, indicating that the coordination degree detection error is smaller than the expected value, and if the deviation value is out of the expected value, measuring the die data again;
the method for calculating the deviation value is as follows:
the standard coordination degree Bp, the measurement coordination degree Cp and the correction coordination degree Xp are obtained, normalization processing is carried out, the average coordination degree Pp is obtained, the deviation value Pc is formed by association, and the association method accords with the following formula:
wherein, alpha is more than or equal to 0 and less than or equal to 1, beta is more than or equal to 0 and less than or equal to 1, gamma is more than or equal to 0 and less than or equal to 1, alpha+beta+gamma=1, alpha and beta are weights, the specific values of which are adjusted and set by a user, C is a correction coefficient, and the correction coefficient is set by the user or obtained by function simulation.
It should be noted that the above method is only one of several methods for calculating the deviation value, and in fact, if other similar methods can be adopted, similar effects can be obtained, that is, the method is only one method for evaluating the deviation between the degrees of matching, and the characteristic of the deviation value of the degree of matching is not limited.
Step 307, comparing the standard coordination degree, the measured coordination degree and the corrected coordination degree with a threshold value of the coordination degree, and judging whether the coordination degree of the die is within the threshold value;
if at least one of the quasi-coordination degree, the measurement coordination degree and the correction coordination degree does not accord with the coordination degree threshold value, the communication is carried out to the outside;
when the die is used, the degree of fit is obtained after simulation and test, compared with the degree of fit of the die obtained directly through a measured value, the die is more prone to reality, in the use process of the die, due to the requirement of working properties, the die is stressed greatly and is easy to generate certain deformation, if the degree of fit of the die is judged only through the actual measured value of the die, a large gap exists between the die and the degree of fit of the die before use, the die is generally not in accordance with actual regulations, and due to certain error of the actual measurement, the actual measured value and the design value are not necessarily the same.
Step 308, determining the fit degree, the measured fit degree and the one with the most far corrected fit degree and the fit degree threshold value as the fit degree of the mold, determining the data at each position of the model and determining the expected value of the mold parameter;
thereby completing the detection of the matching degree of the die; by selecting the one furthest from the fit threshold as the mold fit, measurement errors are accommodated.
Step four, determining a correction sequence, correcting the parameters of the mould, modeling according to corrected data, and re-determining the coordination degree of the mould according to a movement model of the mould;
the fourth step comprises the following contents:
step 401, judging the participation degree of each part of the mold in the molding of the part based on the movement state of the mold, and assigning values according to the participation degree so as to form participation values; the magnitude of the participation value is determined by the participation degree ratio in the forming when the part participates in the part; the higher the degree of participation of the component in the molding, the higher the importance of the value of the corresponding dimensional data, and if errors occur, the greater the influence of the mold fit.
Step 402, after determining participation values of all the components, acquiring corresponding size information and deviation proportion values on all the sizes, and associating the corresponding size information and deviation proportion values on all the sizes to acquire correction priority;
the association method of the correction priority is as follows: the participation value Cy and the deviation proportion Pl are obtained, normalization processing is carried out, the correction priority Xz is formed through association, and the association method accords with the following formula:
wherein, delta is more than or equal to 0 and less than or equal to 1, theta is more than or equal to 0 and less than or equal to 1, delta+theta is less than or equal to 1, delta and delta theta are weights, the specific values of the weights are adjusted and set by a user, and the correlation coefficient between the participation value Cy and the deviation proportion Pl is R.
It should be noted that the above related method is only one method for evaluating the correction priority, and in fact, there are many methods for obtaining the correction priority, and the above method is merely disclosed and does not limit the feature of the correction priority, and in fact, does not substantially hinder implementation of the present solution when other similar methods are selected to obtain the correction priority.
Step 403, sorting the correction priorities, determining a correction sequence, correcting each size position successively on the basis of the expected value of the mold parameter according to the correction sequence, and determining a correction result; the sizes of the parts are sequentially corrected according to the correction sequence, so that the efficiency of correction data can be improved, and the corrected die matching degree can be enabled to meet a prescribed good matching degree threshold value as soon as possible.
Step 404, obtaining a correction result and determining the influence degree of the matching degree of the die, and determining whether the matching degree of the die can be changed positively, if so, namely, the matching degree of the die can be optimized, continuing to perform multiple tests until the matching degree of the die is not changed positively any more, and finishing the correction of the matching degree of the die at the moment;
step 405, sequentially correcting other positions according to the correction sequence until all positions are corrected, outputting corrected data, and determining the corrected data as an optimized value of the mold parameter;
406, acquiring an optimized value after the dimensional data of the mold part is corrected, establishing a three-dimensional mold model again, re-simulating the movement process of the mold, and acquiring the mold matching degree again after completing the movement simulation test for the preset times;
judging whether the matching degree of the die after the simulation test is within a preset range, if so, outputting corrected parameters, and determining the die size parameters corresponding to the die optimization value until the matching degree reaches the standard;
if not, the alarm is given to the outside.
When the method is used, the steps 401 to 406 are combined, whether the die matching degree meets the expected requirement or not is judged on the basis that the die matching degree detection is finished, and if the die matching degree does not meet the requirement of the matching degree threshold, the original die parameters are required to be optimized, so that the die matching degree is optimized until the die matching degree reaches a better state, and the optimization is not continued.
In combination with the content in step 1 to step 4, the present application has at least the following effects:
through the measurement of the die, the standard value, the measured value and the corrected value of the die parameter are obtained, different die matching degrees are obtained on the basis of modeling and simulation test, and under different scenes, a user can select different die matching degrees to evaluate the die, so that the die is suitable for more use scenes.
Through modeling and simulation test, the die adaptation degree data with stronger adaptability to actual use scenes can be obtained on the basis of actual measurement, meanwhile, the change of the die adaptation degree can be established to establish expectations, and the prediction of the service life of the die can be indirectly completed.
By establishing the correction priority and correcting the mold parameters in sequence, the mold parameters and the corresponding mold adaptation degree can be optimized on the basis of completing the mold adaptation degree detection, the optimal mold adaptation degree and the corresponding parameters are finally obtained, and the whole mold adaptation degree detection flow is finally completed.
Example 2
Referring to fig. 1-3, the present invention provides a system for detecting the matching degree of a mold product, comprising:
the measuring unit 10 is used for obtaining a measured value of the die specification and a standard value, comparing the measured value with the standard value, judging whether deviation exists or not, and correcting to obtain a corrected value;
the modeling unit 20 forms correction values based on the standard value and the measured value of the mold, respectively establishes a three-dimensional model of the mold, and marks the actual value and the replacement value respectively;
the judging unit 30 is used for imaging the movement process of the die, constructing a movement model, performing simulation test on the movement state of the die, and determining the coordination degree after the simulation test;
and the correction unit 40 is used for determining a correction sequence, correcting the parameters of the die, modeling according to corrected data and redefining the matching degree of the die.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions described in accordance with the embodiments of the present application are all or partially produced. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more sets of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
In the several embodiments provided in this application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is merely a mold product coordination detection system and method channel underwater topography change analysis system and method logic function division, and other divisions may be implemented in practice, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, or other various media capable of storing program codes.
The foregoing is merely specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the present application, and the changes and substitutions are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Finally: the foregoing description of the preferred embodiments of the invention is not intended to limit the invention, but to enable any modification, equivalent or improvement to be made without departing from the spirit and principles of the invention.
Claims (10)
1. A method for detecting the coordination degree of a die product is characterized by comprising the following steps: comprising the steps of (a) a step of,
step one, measuring the specification of a die, acquiring a measured value, acquiring a standard value of die design, comparing the measured value with the standard value, and judging whether deviation exists; if yes, evaluating whether the deviation exceeds the expected value, and if yes, correcting to obtain a corrected value; the first step comprises the following steps:
step 101, cleaning the die after the service time of the die is determined, so that the surface of the die keeps smooth and clean, and the measurement of the die is not affected;
102, measuring the specification of the die by combining with a die design drawing, obtaining an average value after measuring for a plurality of times, recording the average value as a measured value, and recording the position for forming corresponding data;
step 103, obtaining a standard value of a die specification from a die design drawing, comparing a measured value with an average value, determining the error proportion, and outputting the error proportion;
104, accumulating all error proportions, obtaining an error value, comparing the error value with a corresponding threshold value, judging whether the error value exceeds the threshold value, and outputting a measured value if the error value does not exceed the threshold value; if the threshold value is exceeded, outputting the measured value and the standard value;
forming correction values based on the standard value and the measured value of the die, respectively establishing a three-dimensional model of the die, and respectively marking the actual value and the replacement value;
step three, after the three-dimensional model of the die is obtained, imaging is carried out on the movement process of the die, a movement model is constructed based on imaging information, a simulation test is carried out on the movement state of the die, the coordination degree after the simulation test is determined, and whether the coordination degree meets the requirement is judged;
and step four, determining a correction sequence, correcting the parameters of the mould, modeling according to corrected data, and re-determining the coordination degree of the mould according to the movement model of the mould.
2. The method for detecting the matching degree of a mold product according to claim 1, wherein: the second step comprises:
step 201, sequentially obtaining a standard value and a measured value of a die, and establishing a standard value data set and a measured value data set;
step 202, determining the error proportion of each measured value according to a design drawing of a corresponding mould, determining the measured value and the standard value at the corresponding position when the error proportion exceeds a corresponding threshold value, obtaining the average value of the measured value and the standard value, and determining the average value as a corrected value; replacing the measured value with the correction value, and marking the replacement position to form a correction value data set;
step 203, respectively establishing a three-dimensional model of the mold based on the standard value data set, the measured value data set and the corrected value data set, and recording the three-dimensional model as a standard model, a measured model and a corrected model; in the correction model, the positions related to the correction values are marked.
3. The method for detecting the matching degree of a mold product according to claim 1, wherein: the third step comprises the following steps:
step 301, setting an imaging device along the periphery of a die, imaging the working state of the die, acquiring imaging information, and uploading the acquired imaging information to a cloud;
step 302, determining a conventional working state of the mold according to imaging information through image recognition, wherein the conventional working state refers to a state of the mold in normal working, and extracting working state data;
step 303, based on the imaging information and the working state data, the working process of the mold in the normal state is visualized, and process information is formed.
4. A method of detecting the fit of a molded article according to claim 3, wherein: said step 303 is also followed by:
step 304, combining the process information and the three-dimensional model of the mold, simulating the working state of the mold, establishing a mold motion model, and uploading the mold motion model to a cloud for backup;
step 305, repeatedly realizing the mould motion model for a plurality of times, realizing a simulation test, and after finishing the simulation test, obtaining the matching degree of the mould to respectively form a standard matching degree, a measurement matching degree and a correction matching degree;
and 306, combining the standard coordination degree, the measurement coordination degree and the correction coordination degree, acquiring deviation values among the three parts after correlation, and re-measuring the die data if the deviation values are out of expectation.
5. The method for detecting the matching degree of a mold product according to claim 4, wherein: the method for calculating the deviation value is as follows:
the standard coordination degree Bp, the measurement coordination degree Cp and the correction coordination degree Xp are obtained, normalization processing is carried out, the average coordination degree Pp is obtained, the deviation value Pc is formed by association, and the association method accords with the following formula:
wherein, alpha is more than or equal to 0 and less than or equal to 1, beta is more than or equal to 0 and less than or equal to 1, gamma is more than or equal to 0 and less than or equal to 1, alpha+beta+gamma is less than or equal to 1, alpha, beta and gamma are weights, specific values are adjusted and set by a user, C is a correction coefficient, and the correction coefficient is set by the user or obtained by function simulation.
6. The method for detecting the matching degree of a mold product according to claim 4, wherein: after step 306, there is also:
step 307, comparing the standard coordination degree, the measured coordination degree and the corrected coordination degree with a threshold value of the coordination degree, and judging whether the coordination degree of the die is within the threshold value;
if at least one of the quasi-coordination degree, the measurement coordination degree and the correction coordination degree does not accord with the coordination degree threshold value, the communication is carried out to the outside;
and 308, determining the fit degree, measuring the fit degree and correcting the fit degree to be the most distant one from the fit degree threshold value, determining the fit degree as the die fit degree, determining the data at each position of the model, and determining the expected value as the die parameter.
7. The method for detecting the matching degree of a mold product according to claim 1, wherein: the fourth step comprises:
step 401, judging the participation degree of each part of the mold in the molding of the part based on the movement state of the mold, and assigning values according to the participation degree so as to form participation values;
step 402, obtaining corresponding size information and deviation proportion values on each size, associating the corresponding size information and deviation proportion values on each size, and obtaining correction priority.
8. The method for detecting the matching degree of a mold product according to claim 7, wherein: the correlation method of the correction priority is as follows: the participation value Cy and the deviation proportion Pl are obtained, normalization processing is carried out, the correction priority Xz is formed through association, and the association method accords with the following formula:
wherein, delta is more than or equal to 0 and less than or equal to 1, theta is more than or equal to 0 and less than or equal to 1, delta+theta is less than or equal to 1, delta and theta are weights, the specific values of the weights are adjusted and set by a user, and the correlation coefficient between the participation value Cy and the deviation proportion Pl is R.
9. The method for detecting the matching degree of a mold product according to claim 7, wherein: step 402 further comprises:
step 403, sorting the correction priorities, determining a correction sequence, correcting each size position successively on the basis of the expected value of the mold parameter according to the correction sequence, and determining a correction result;
step 404, obtaining a correction result, determining the influence degree of the matching degree of the die, and determining whether the matching degree of the die can be changed in a forward direction, if so, namely, the matching degree of the die can be optimized, continuing to perform multiple tests until the matching degree of the die is not changed in the forward direction;
step 405, sequentially correcting other positions according to the correction sequence until all positions are corrected, outputting corrected data, and determining the corrected data as an optimized value of the mold parameter;
406, acquiring an optimized value after the dimensional data of the mold part is corrected, establishing a three-dimensional mold model again, re-simulating the movement process of the mold, and acquiring the mold matching degree again after completing the movement simulation test for the preset times;
judging whether the matching degree of the die after the simulation test is within a preset range, if so, outputting corrected parameters, and determining the die size parameters corresponding to the die optimization value until the matching degree reaches the standard; if not, the alarm is given to the outside.
10. A die product cooperation degree detecting system which is characterized in that: comprising the following steps:
the measuring unit (10) is used for obtaining a measured value and a standard value of the die specification, comparing the measured value with the standard value, judging whether deviation exists or not, and correcting to obtain a corrected value;
the modeling unit (20) forms correction values based on the standard value and the measured value of the die, respectively establishes a three-dimensional model of the die, and marks the actual value and the replacement value respectively;
the judging unit (30) is used for imaging the movement process of the die, constructing a movement model, performing simulation test on the movement state of the die, and determining the coordination degree after the simulation test;
and the correction unit (40) is used for determining a correction sequence, correcting the parameters of the die, modeling according to corrected data and redefining the matching degree of the die.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117078192A (en) * | 2023-08-18 | 2023-11-17 | 索罗曼(广州)新材料有限公司 | Titanium flat bar manufacturing tool mold management system and method |
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