CN112083702A - Carbon fiber composite material curing process monitoring and management method and system - Google Patents
Carbon fiber composite material curing process monitoring and management method and system Download PDFInfo
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Abstract
The application provides a method and a system for monitoring and managing a curing process of a carbon fiber composite material, which comprise the following steps: acquiring basic ingredients of a composite material to be processed, and determining curing parameters according to the processing requirements of the composite material; curing the basic ingredients according to the determined curing parameters; acquiring state data of the composite material in real time in the curing process of the composite material; inputting the acquired composite material state data into a preset curing process monitoring analysis model to acquire curing parameter data to be optimized; and optimizing the curing parameters according to the acquired curing parameter data needing to be optimized. The application realizes the automatic intelligent monitoring of the curing process of the carbon fiber composite material, does not need manual participation, saves manpower, and controls the feedback of curing parameters in the curing process according to the actually acquired reaction data of the curing process.
Description
Technical Field
The application relates to the technical field of intelligent manufacturing, in particular to a method and a system for monitoring and managing a curing process of a carbon fiber composite material.
Background
The composite material is prepared by a physical or chemical method, so that two or more materials coexist in a whole in a form that the phase state and the performance are mutually independent, and certain performances of the materials are improved. The carbon fiber composite material is a composite material taking resin as a collective body and carbon fiber as a reinforcement body.
The process of curing the carbon fiber composite material comprises a heating stage, a glue absorbing stage, a continuous heating stage, a heat preservation hot pressing stage, a cooling stage and other stages. Wherein, the temperature rise stage. A reasonable heating rate is selected, and for large workpieces, the heating rate is slow, so that the whole workpiece is heated uniformly, and the heating rate is 2 ℃/min which is a common heating rate. The temperature raising stage mainly uses vacuum pressure, and certain pressure can be applied according to the situation. The glue-sucking stage is an intermediate heat-insulating stage, in which the resin is heated at different temperatures and for different time periods, and the main purpose of this stage is to melt the resin, impregnate the fibres, remove the volatile substances and gradually solidify the resin into a gel state. The heat preservation and hot pressing stage is the temperature for curing the resin, the resin matrix is further cured, and full pressing is carried out in the stage, so that the resin is fully compacted between the layers in the process of further curing.
The temperature control of each stage in the process of curing the carbon fiber composite material is difficult, and a high-quality finished product is difficult to obtain.
Disclosure of Invention
The application aims to provide a carbon fiber composite material curing process monitoring and management method and system, which realize automatic intelligent monitoring of the carbon fiber composite material curing process, do not need manual participation, save manpower, and control the feedback of curing parameters in the curing process according to actually acquired reaction data of the curing process.
In order to achieve the above object, the present application provides a method for monitoring and managing a curing process of a carbon fiber composite material, comprising:
acquiring basic ingredients of a composite material to be processed, and determining curing parameters according to the processing requirements of the composite material;
curing the basic ingredients according to the determined curing parameters;
acquiring state data of the composite material in real time in the curing process of the composite material;
inputting the acquired composite material state data into a preset curing process monitoring analysis model to acquire curing parameter data to be optimized;
and optimizing the curing parameters according to the acquired curing parameter data needing to be optimized.
The method comprises the steps of acquiring temperature data of the composite material in real time during the curing process of the composite material, inputting the acquired temperature data of the composite material into a curing process monitoring analysis model, and acquiring the influence curing parameters of the temperature data to be optimized.
As above, the acquired temperature value of the intermediate layer of the composite material, the temperature value of the upper surface of the composite material and the temperature value of the lower surface of the composite material are input into the temperature adjusting module of the curing process monitoring analysis model, and whether the acquired temperature data meets a first limiting condition preset in the temperature adjusting module is judged, if yes, the curing parameters influenced by the temperature data do not need to be optimized; otherwise, optimizing the curing parameters influenced by the temperature data.
Wherein if the acquired temperature data does not satisfy the first limit condition preset in the temperature adjustment module, the heating temperature is increased or decreased according to the dielectric constant of the acquired composite material,
wherein, if the dielectric constant of the composite material is more than or equal to 0, the heating temperature is increased; otherwise, the heating temperature is lowered.
As above, wherein the first limiting condition is: tmin<TIn-(TOn the upper part+TLower part)/2<Tmax; and Tm is<0: wherein, TInRepresenting a composite material interlayer temperature value; t isOn the upper partRepresenting a composite material upper surface temperature value; t isLower partRepresenting a temperature value of the lower surface of the composite material; tmin represents a preset minimum temperature difference value; tmax represents a preset maximum temperature difference value; tm represents the accelerated increase in the temperature of the intermediate layer.
The method comprises the following steps of inputting the externally applied pressure data acquired at different moments into a feedback control analysis module; calculating a difference between the acquired external applied pressure data and a preset ideal state value; judging whether the calculated difference is within a preset threshold range, and if so, acquiring curing parameter data needing to be optimized; otherwise, the curing parameter data need not be optimized.
As above, the composite material state data and the corresponding state types with the difference values larger than the preset threshold value are output, and the composite material state data and the state types are arranged in the parameter queue to be optimized according to the output sequence; and (4) sequentially analyzing the curing parameters influencing the corresponding state values of a certain state type of the composite material according to the sequence of the queue, calculating the adjustment values of the curing parameters, and outputting the adjustment values of the curing parameters and the types of the curing parameters.
As above, wherein if the calculated difference is within the range of the preset threshold, the curing reaction rate is calculated; and judging whether the curing reaction rate meets a preset threshold range, if not, outputting curing parameters of the curing reaction rate needing to be optimized, and if so, not needing to be optimized.
The method for curing reaction rate in the composite material curing process is as follows: calculating the heat generation rate of the composite material in the curing process according to the curing state data; the curing reaction rate was calculated from the heat generation rate.
The application also provides a carbon fiber composite curing process monitoring management system, includes: the curing parameter determining module is used for acquiring basic ingredients of the composite material to be processed and determining curing parameters according to the processing requirement of the composite material; the curing module is used for curing the basic ingredients according to the determined curing parameters; the acquisition module is used for acquiring the state data of the composite material in real time in the curing process of the composite material; the acquisition module is used for inputting the acquired composite material state data into a preset curing process monitoring analysis model and acquiring curing parameter data to be optimized; and the optimization module is used for optimizing the curing parameters according to the acquired curing parameter data needing to be optimized.
The beneficial effect that this application realized is as follows:
(1) according to the method and the device, the state parameter change in the curing process of the composite material is monitored in real time, the state parameter in the curing process of the composite material is analyzed, and the abnormal state parameter is output, so that the curing parameter influencing the abnormal state parameter is optimized and adjusted, the curing parameter is corrected in the curing process of the composite material in time, the state parameter in the curing process of the composite material is recovered to be normal, and the yield of the composite material is improved.
(2) The application realizes the automatic intelligent monitoring of the curing process of the carbon fiber composite material, does not need manual participation, saves manpower, and controls the feedback of curing parameters in the curing process according to the actually acquired reaction data of the curing process.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present application, and other drawings can be obtained by those skilled in the art according to the drawings.
Fig. 1 is a flowchart of a method for monitoring and managing a curing process of a carbon fiber composite material according to an embodiment of the present application.
Fig. 2 is a flowchart of a method for acquiring curing parameter data to be optimized according to an embodiment of the present application.
Fig. 3 is a schematic structural diagram of a carbon fiber composite material curing process monitoring and management system according to an embodiment of the present application.
Reference numerals: 10-a curing parameter determination module; 20-curing the module; 30-an acquisition module; 40-an acquisition module; 50-optimizing module.
Detailed Description
The technical solutions in the embodiments of the present application are clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Example one
As shown in fig. 1, the present application provides a method for monitoring and managing a curing process of a carbon fiber composite material, which comprises the following steps:
and step S1, acquiring basic ingredients of the composite material to be processed, and determining curing parameters according to the processing requirements of the composite material.
The curing parameters comprise resistance, current, heating rate, temperature range required to be reached and magnitude of applied external force of basic ingredient molding.
And step S2, curing the basic ingredients according to the determined curing parameters.
And step S3, acquiring the state data of the composite material in real time in the process of curing the composite material.
The state data of the composite material collected in real time comprise an external applied pressure value, a composite material surface temperature value, a composite material middle layer temperature value, a composite material dielectric constant and a capacitance value.
And step S4, inputting the acquired composite material state data into a preset curing process monitoring analysis model, and acquiring curing parameter data needing to be optimized.
As shown in fig. 2, step S4 includes:
and S410, inputting the acquired temperature data of the composite material into a curing process monitoring analysis model, and acquiring the temperature data to be optimized.
Specifically, step S410 includes:
step S411, inputting the collected temperature data into a temperature adjusting module, wherein the temperature adjusting module is preset in the curing process monitoring and analyzing model.
The temperature value of the middle layer of the composite material, the temperature value of the upper surface of the composite material and the temperature value of the lower surface of the composite material are input into the temperature adjusting module, and the temperature adjusting module adjusts the heating temperature of the composite material under the condition that a preset first limiting condition is met, wherein the step of increasing the heating temperature of the composite material or reducing the heating temperature of the composite material is included.
Step S412, analyzing the curing parameters influenced by the temperature data to be optimized in the current curing process according to the first limiting condition in the temperature adjusting module.
Preferably, the first limiting condition is: tmin<TIn-(TOn the upper part+TLower part)/2<Tmax; and Tm is<0;
Wherein, TInRepresenting a composite material interlayer temperature value; t isOn the upper partRepresenting a composite material upper surface temperature value; t isLower partRepresenting a temperature value of the lower surface of the composite material; tmin represents a preset minimum temperature difference value; tmax represents a preset maximum temperature difference value; tm represents an accelerated increase in the interlayer temperature, and a negative accelerated increase in the interlayer temperature indicates a tendency of a decrease in the tendency of an increase in the interlayer temperature.
Specifically, the acquired composite material intermediate layer temperature value, the acquired composite material upper surface temperature value and the acquired composite material lower surface temperature value are input into a temperature adjusting module of the curing process monitoring analysis model, whether the acquired temperature data meet a first limiting condition preset in the temperature adjusting module is judged, if yes, the influence curing parameters of the temperature data do not need to be optimized, and otherwise, the influence curing parameters of the temperature data are optimized.
If the acquired temperature data does not meet a first limiting condition preset in the temperature adjusting module, the heating temperature is determined to be increased or decreased according to the acquired dielectric constant of the composite material, and specifically, the temperature adjusting module determines to increase or decrease the heating temperature by analyzing the dielectric constant of the composite material of the current composite material. Specifically, if the dielectric constant of the composite material is greater than or equal to 0, the heating temperature is increased; otherwise, the heating temperature is lowered.
Step S420, calculating a difference between the current composite material state value and a preset ideal state value according to the acquired composite material state value, and determining whether the difference exceeds a preset threshold, if so, executing step S430, and adjusting the curing parameters according to the difference, otherwise, not adjusting the curing parameters.
The state data of the composite material collected in real time comprise an external applied pressure value, a composite material surface temperature value, a composite material middle layer temperature value, a composite material dielectric constant and a capacitance value.
Specifically, step S420 includes the following steps:
step S421, inputting the acquired composite material state data into a feedback control analysis module preset in the curing process monitoring analysis model.
The feedback control analysis module is preset with ideal state values of the composite material in the curing process at different moments.
Step S422, comparing the state data of the composite material with corresponding ideal state values in a standard parameter table in a preset curing process monitoring analysis model, and calculating the difference value between the acquired state data of the composite material and the ideal state values in the standard parameter table;
step S430, judging whether the difference value calculated according to the step S420 is within a preset threshold range, if not, acquiring curing parameter data needing to be optimized, and adjusting curing parameters according to the curing parameter data needing to be optimized; if so, the curing parameter data does not need to be optimized.
Wherein the curing parameter data to be optimized comprises curing parameter adjustment values and curing parameter types.
And the curing parameter optimization module presets corresponding curing parameter adjusting schemes according to different types of the state data of the composite material. The curing parameter optimizing module acquires the type and the difference value of the state data acquired by the feedback control analysis module, matches a corresponding curing parameter adjusting scheme, and adjusts the curing parameters in the curing process of the composite material according to the matched curing parameter adjusting scheme.
Step S430 includes the following substeps:
step S431, outputting the composite material state data with the difference value larger than the preset threshold value and the corresponding state type, and arranging the composite material state data and the state type to a parameter queue to be optimized according to the output sequence;
and step S432, sequentially analyzing the curing parameters influencing the corresponding state values of a certain state type of the composite material according to the sequence of the queue, calculating the adjustment values of the curing parameters, and outputting the adjustment values and the types of the curing parameters.
And analyzing the abnormal condition of the composite material state value by combining another embodiment, forming a curve changing along with time by using the acquired composite material state data, calculating the similarity between the curve forming trend and the standard curve of the composite material curing process stored in the curing process monitoring and analyzing model in real time, and further evaluating the abnormal condition of the composite material state value according to the similarity.
In step S440, when the difference calculated in step S420 is within the range of the preset threshold, the curing reaction rate is calculated.
The method for calculating the curing reaction rate in the curing process of the composite material in the step S440 is as follows:
step S441, calculating a heat generation rate in the curing process of the composite material according to the curing state data.
The formula for calculating the heat generation rate in the curing process of the composite material is as follows:
wherein Q represents a heat generation rate; ρ represents the density of the composite material, and C represents the specific heat capacity of the composite material; t represents temperature, T represents curing time; lambda [ alpha ]x、λy、λzRespectively representing the thermal conductivity of the composite material in the x, y and z directions.
In step S442, the curing reaction rate is calculated from the heat generation rate.
Wherein, the formula for calculating the curing reaction rate according to the heat generation rate is as follows:
wherein v represents a curing reaction rate; ρ represents the density of the composite; v represents a volume fraction; i represents the amount of heat released per unit mass of the composite.
And step S450, judging whether the curing reaction rate accords with a preset threshold range, if not, outputting curing parameters of the curing reaction rate needing to be optimized, and if so, not needing to be optimized.
Specifically, the heating temperature in the curing process is adjusted and optimized, so that the curing reaction rate is adjusted within a preset threshold range.
And step S5, optimizing the curing parameters according to the acquired curing parameter data needing to be optimized.
The curing parameter data comprises curing parameter types and curing parameter adjusting values.
Example two
As shown in fig. 3, the present application further provides a monitoring and management system 100 for a curing process of a carbon fiber composite material, comprising:
and the curing parameter determining module 10 is used for acquiring basic ingredients of the composite material to be processed and determining curing parameters according to the processing requirements of the composite material.
And a curing module 20 for curing the base furnish according to the determined curing parameters.
And the acquisition module 30 is used for acquiring the state data of the composite material in real time in the curing process of the composite material.
And the acquisition module 40 is used for inputting the acquired composite material state data into a preset curing process monitoring analysis model and acquiring curing parameter data to be optimized.
And the optimization module 50 is used for optimizing the curing parameters according to the acquired curing parameter data needing to be optimized.
And the curing process monitoring analysis model is used for analyzing the acquired composite material state data and outputting curing parameter data needing to be optimized.
The curing process monitoring analysis model comprises a temperature adjusting module, and a first limiting condition is arranged in the temperature adjusting module.
And the temperature adjusting module is used for analyzing the acquired temperature data and acquiring whether the heating temperature of the current composite material needs to be increased or decreased.
The curing process monitoring analysis model comprises a feedback control analysis module.
The feedback control analysis module is preset with ideal state values of the composite material in the curing process at different moments.
And the feedback control module is used for comparing the state data of the composite material with corresponding ideal state values in a standard parameter table in a preset curing process monitoring analysis model and calculating the difference value between the acquired state data of the composite material and the ideal state values in the standard parameter table.
And a curing parameter optimization module is arranged in the curing monitoring analysis model. And the curing monitoring analysis model is preset with a corresponding curing parameter adjusting scheme according to different types of the state data of the composite material.
And the curing parameter optimization module is used for acquiring the type and the difference value of the state data acquired by the feedback control analysis module, matching a corresponding curing parameter adjustment scheme, and adjusting the curing parameters in the curing process of the composite material according to the matched curing parameter adjustment scheme.
The beneficial effect that this application realized is as follows:
(2) according to the method and the device, the state parameter change in the curing process of the composite material is monitored in real time, the state parameter in the curing process of the composite material is analyzed, and the abnormal state parameter is output, so that the curing parameter influencing the abnormal state parameter is optimized and adjusted, the curing parameter is corrected in the curing process of the composite material in time, the state parameter in the curing process of the composite material is recovered to be normal, and the yield of the composite material is improved.
(3) The application realizes the automatic intelligent monitoring of the curing process of the carbon fiber composite material, does not need manual participation, saves manpower, and controls the feedback of curing parameters in the curing process according to the actually acquired reaction data of the curing process.
The above description is only an embodiment of the present invention, and is not intended to limit the present invention. Various modifications and alterations to this invention will become apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.
Claims (10)
1. A carbon fiber composite material curing process monitoring and management method is characterized by comprising the following steps:
acquiring basic ingredients of a composite material to be processed, and determining curing parameters according to the processing requirements of the composite material;
curing the basic ingredients according to the determined curing parameters;
acquiring state data of the composite material in real time in the curing process of the composite material;
inputting the acquired composite material state data into a preset curing process monitoring analysis model to acquire curing parameter data to be optimized;
and optimizing the curing parameters according to the acquired curing parameter data needing to be optimized.
2. The carbon fiber composite material curing process monitoring and management method according to claim 1, wherein in the composite material curing process, the temperature data of the composite material is collected in real time, the collected temperature data of the composite material is input into the curing process monitoring and analyzing model, and the influence curing parameters of the temperature data to be optimized are obtained.
3. The carbon fiber composite material curing process monitoring and management method according to claim 2, wherein the acquired composite material intermediate layer temperature value, composite material upper surface temperature value and composite material lower surface temperature value are input into a temperature regulation module of the curing process monitoring and analyzing model, whether the acquired temperature data meet a first limiting condition preset in the temperature regulation module is judged, and if yes, curing parameters influenced by the temperature data do not need to be optimized; otherwise, optimizing the curing parameters influenced by the temperature data.
4. The carbon fiber composite curing process monitoring and managing method as recited in claim 3, wherein if the acquired temperature data does not satisfy the first limiting condition preset in the temperature adjusting module, the heating temperature is increased or decreased according to the acquired dielectric constant of the composite material,
wherein, if the dielectric constant of the composite material is more than or equal to 0, the heating temperature is increased; otherwise, the heating temperature is lowered.
5. The carbon fiber composite curing process monitoring and managing method as claimed in claim 4, wherein the first limiting condition is: tmin<TIn-(TOn the upper part+TLower part)/2<Tmax; and Tm is<0;
Wherein, TInRepresenting a composite material interlayer temperature value; t isOn the upper partRepresenting a composite material upper surface temperature value; t isLower partRepresenting a temperature value of the lower surface of the composite material; tmin represents a preset minimum temperature difference value; tmax represents a preset maximum temperature difference value; tm represents the accelerated increase in the temperature of the intermediate layer.
6. The carbon fiber composite material curing process monitoring and managing method as claimed in claim 1,
inputting the external applied pressure data acquired at different moments into a feedback control analysis module;
calculating a difference between the acquired external applied pressure data and a preset ideal state value;
judging whether the calculated difference is within a preset threshold range, and if so, acquiring curing parameter data needing to be optimized; otherwise, the curing parameter data need not be optimized.
7. The carbon fiber composite material curing process monitoring and management method according to claim 6, wherein the composite material state data and the corresponding state types with the difference values larger than the preset threshold value are output, and the state data and the state types of the composite material are arranged to a parameter queue to be optimized according to the output sequence; and (4) sequentially analyzing the curing parameters influencing the corresponding state values of a certain state type of the composite material according to the sequence of the queue, calculating the adjustment values of the curing parameters, and outputting the adjustment values of the curing parameters and the types of the curing parameters.
8. The carbon fiber composite curing process monitoring and management method according to claim 6, wherein if the calculated difference is within a range of a preset threshold, a curing reaction rate is calculated; and judging whether the curing reaction rate meets a preset threshold range, if not, outputting curing parameters of the curing reaction rate needing to be optimized, and if so, not needing to be optimized.
9. The carbon fiber composite material curing process monitoring and management method according to claim 8, wherein the curing reaction rate in the composite material curing process is as follows:
calculating the heat generation rate of the composite material in the curing process according to the curing state data;
the curing reaction rate was calculated from the heat generation rate.
10. A carbon fiber composite curing process monitoring and management system is characterized by comprising:
the curing parameter determining module is used for acquiring basic ingredients of the composite material to be processed and determining curing parameters according to the processing requirement of the composite material;
the curing module is used for curing the basic ingredients according to the determined curing parameters;
the acquisition module is used for acquiring the state data of the composite material in real time in the curing process of the composite material;
the acquisition module is used for inputting the acquired composite material state data into a preset curing process monitoring analysis model and acquiring curing parameter data to be optimized;
and the optimization module is used for optimizing the curing parameters according to the acquired curing parameter data needing to be optimized.
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