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CN-122008593-A - Carbon fiber composite core pultrusion speed optimization method and system

CN122008593ACN 122008593 ACN122008593 ACN 122008593ACN-122008593-A

Abstract

The invention relates to the technical field of product molding and discloses a carbon fiber composite core pultrusion speed optimization method and system, wherein the method comprises the steps of acquiring the inner wall temperature and the inner wall resin pressure of a preheating section starting end, a gel section center position and a curing section ending end of a die corresponding to the inner wall of the die in real time, acquiring the surface layer temperature of a target object when the target object is ejected from the die at the outlet of the die in real time, and acquiring the diameter of the target object; the method and the device have the advantages that the temperature of the inner wall and the resin pressure of the inner wall at the beginning end of the preheating section, the center position of the gel section and the end of the curing section are collected and analyzed to generate a speed optimization mark, and the speed optimization strategy is determined by combining the real-time current and the rated current of the traction motor.

Inventors

  • ZHANG TING
  • YE JINCHUN

Assignees

  • 厦门市宜帆达新材料有限公司

Dates

Publication Date
20260512
Application Date
20260413

Claims (10)

  1. 1. The carbon fiber composite core pultrusion speed optimization method is characterized by comprising the following steps of: Step S1, acquiring the inner wall temperature and the inner wall resin pressure of the inner wall of the mold corresponding to the initial end, the center position and the end of the gel section of the preheating section and the end of the curing section of the mold in real time, acquiring the surface layer temperature of a target object when the target object is ejected from the mold at the outlet of the mold in real time, and acquiring the diameter of the target object; s2, analyzing the inner wall resin pressure of the center position of the gel section and the initial end of the preheating section, generating a fluctuation coefficient of the in-mold pressure which represents the influence of the pressure at the front end of the mold on the stability of the gel section, and calculating the inner wall resin pressure at the end of the curing section and the inner wall resin pressure at the center position of the gel section to obtain a curing resistance coefficient which represents the demolding resistance state of a target object at the tail end of the mold; step S3, calculating the surface layer temperature, the diameter and the inner wall temperature of the center position of the gel section to obtain a curing interface temperature difference value reflecting the matching degree of the surface layer of the target object and the internal curing progress; S4, carrying out cooperative analysis on the intra-mold pressure fluctuation coefficient, the curing resistance coefficient and the curing interface temperature difference value to generate a speed optimization mark representing a speed adjustment direction; and S5, acquiring a real-time current value and rated current of a traction motor in the target object pultrusion equipment, and determining a speed optimization strategy according to the speed optimization mark, the real-time current value and the rated current.
  2. 2. The method for optimizing the pultrusion speed of a carbon fiber composite core according to claim 1, wherein the die and the target object comprise: The die is a metal die for forming the carbon fiber composite core; the target object is a carbon fiber composite core.
  3. 3. The method for optimizing the pultrusion speed of a carbon fiber composite core according to claim 1, wherein analyzing the inner wall resin pressure at the center position of the gel section and at the beginning end of the preheating section to generate an in-mold pressure fluctuation coefficient indicating the influence of the pressure at the front end of the mold on the stability of the gel section comprises: Analyzing the fluctuation amplitude and frequency of the resin pressure at the beginning end of the preheating section to generate a pressure fluctuation base value reflecting the dynamic change degree of the pressure, and specifically comprising the steps of continuously collecting the resin pressure at the beginning end of the preheating section and preprocessing to obtain a pressure time sequence, identifying all local maximum value points and local minimum value points in the pressure time sequence as pressure peak value points and pressure valley value points respectively, sequentially calculating the pressure difference values between adjacent pressure peak value points and pressure valley value points, and carrying out root mean square calculation on the pressure difference values to obtain an effective fluctuation pressure value; The method comprises the steps of carrying out correlation analysis on a pressure fluctuation base value and the inner wall resin pressure at the central position of a gel section, analyzing the transmission and attenuation of fluctuation energy, and generating a mold inner pressure fluctuation coefficient which represents the influence of the pressure at the front end of a mold on the stability of the gel section; Obtaining a physical distance from the starting end of the preheating section to the center position of the gel section along the direction of the die, processing the physical distance to obtain a transmission distance coefficient, taking a natural constant as a base, taking a negative transmission distance coefficient as an index, and calculating to obtain a distance attenuation factor; The inverse of the main scrambling value is multiplied by a distance attenuation factor to obtain a comprehensive attenuation coefficient, the pressure fluctuation base value is multiplied by the comprehensive attenuation coefficient to obtain an equivalent fluctuation influence value, and the equivalent fluctuation influence value is added with the gel section reference pressure coefficient to generate a in-mold pressure fluctuation coefficient which represents the influence of the pressure at the front end of the mold on the stability of the gel section.
  4. 4. The method for optimizing the pultrusion speed of a carbon fiber composite core according to claim 1, wherein the calculation of the inner wall resin pressure at the end of the curing section and the inner wall resin pressure at the center of the gel section to obtain the curing resistance coefficient indicating the demolding resistance state of the target object at the end of the mold comprises the steps of: Analyzing the inner wall resin pressure at the end of the curing section and the inner wall resin pressure at the center of the gel section, and analyzing the deviation of pressure distribution and attenuation to obtain a curing resistance coefficient representing the demolding resistance state of a target object at the tail end of the mold; The method comprises the steps of obtaining a physical distance from the center position of a gel section to the end of a curing section along the direction of a die, equally dividing the physical distance into continuous characteristic sections, taking the center pressure average value of the gel section as a starting point, the end pressure average value of the curing section as an ending point, and taking the physical distance as an independent variable to construct a pressure attenuation curve; Acquiring the resin pressure value of the inner wall of each characteristic section corresponding to the space position in real time to obtain an actual pressure distribution curve, calculating the area difference between the actual pressure distribution curve and the pressure attenuation curve to obtain an accumulated pressure deviation value, and dividing the accumulated pressure deviation value by a physical distance to obtain average pressure deviation intensity; And acquiring the real-time inner wall temperature of the end of the curing section, preprocessing to obtain a terminal temperature coefficient, preprocessing the average pressure deviation intensity to obtain an average pressure deviation coefficient, and multiplying the terminal temperature coefficient by the average pressure deviation coefficient to obtain a curing resistance coefficient representing the demolding resistance state of the target object at the terminal of the die.
  5. 5. The method for optimizing the pultrusion speed of the carbon fiber composite core according to claim 1, wherein calculating the surface temperature, the diameter and the temperature of the inner wall at the center of the gel section to obtain a curing interface temperature difference value reflecting the matching degree of the surface layer and the internal curing progress of the target object comprises: The method comprises the steps of carrying out correlation analysis on the temperature of the inner wall and the temperature of the surface layer at the center of the gel section, combining the diameter of a target object, analyzing the distribution state of temperature difference in the radial direction, and generating a radial temperature characteristic value reflecting the intensity of temperature change in the radial direction inside the target object.
  6. 6. The method for optimizing the pultrusion speed of a carbon fiber composite core according to claim 5, wherein calculating the surface temperature, the diameter and the temperature of the inner wall at the center of the gel section to obtain a curing interface temperature difference reflecting the matching degree of the surface layer and the internal curing progress of the target object, further comprises: According to the radial temperature characteristic value, analyzing the influence and disturbance of the surface temperature on radial temperature distribution to obtain a curing interface temperature difference value reflecting the matching degree of the surface layer of the target object and the internal curing progress, and specifically comprising the steps of obtaining the surface temperature of the target object collected in real time at an outlet of a die, constructing a surface temperature time sequence in the same sliding time window, calculating the average value of the surface temperature time sequence to obtain a surface temperature average value, simultaneously obtaining the average value of the temperature of the inner wall of the central position of a gel section in the sliding time window to obtain a core temperature average value, and then calculating the difference value of the surface temperature average value and the core temperature average value to obtain a radial temperature basic difference value; calculating instantaneous deviation values of the surface layer temperatures and the average value of the core temperature in the surface layer temperature time sequence, and solving root mean square for the instantaneous deviation values to obtain the surface layer temperature fluctuation intensity; The method comprises the steps of obtaining a surface layer temperature fluctuation intensity after pretreatment, obtaining a disturbance coupling coefficient by multiplying the surface layer temperature fluctuation intensity after pretreatment by a radial temperature characteristic value, calculating a difference value between the surface layer temperature value and a core temperature value at the current moment to obtain an instantaneous radial temperature difference, dividing the instantaneous radial temperature difference by a radial temperature basic difference value to obtain an instantaneous temperature difference relative coefficient, and obtaining a curing interface temperature difference value by multiplying the disturbance coupling coefficient, the instantaneous temperature difference relative coefficient and the radial temperature basic difference value in sequence.
  7. 7. The method of optimizing pultrusion speed of a carbon fiber composite core according to claim 6, wherein the collaborative analysis of the intra-mold pressure fluctuation coefficient, the curing resistance coefficient, and the curing interface temperature difference value generates a speed optimization mark indicating a speed adjustment direction, comprising: Analyzing fluctuation synchronicity and trend consistency among the pressure fluctuation coefficient, the curing resistance coefficient and the curing interface temperature difference value in a mould to generate a process fluctuation association degree reflecting the cooperative matching degree of the pressure field, the resistance field and the temperature field in the current process state; Dividing the three slopes by the absolute values to obtain symbol values, determining symbol sum and trend consistency coefficients based on the symbol values, respectively calculating the average value of each sequence in a current sliding time window, subtracting the average value from the value at each moment in the sequence to obtain three new zero-mean fluctuation sequences, calculating covariance of the three fluctuation sequences to obtain three covariance values, simultaneously calculating the standard deviation of each fluctuation sequence to obtain three standard deviations, dividing the average value of the three covariance values by the average value of the three standard deviation products to obtain average correlation coefficients, taking the absolute value of the average correlation coefficients as fluctuation amplitude coefficients, multiplying the trend consistency coefficients by the fluctuation amplitude coefficients to obtain process fluctuation association degrees reflecting the collaborative matching degree of a pressure field, a resistance field and a temperature field in the current process state, and obtaining the current process state; Analyzing the association degree of process fluctuation, and reversely tracing the deviation amplitude of the intra-mold pressure fluctuation coefficient, the curing resistance coefficient and the curing interface temperature difference value to obtain a deviation master control factor representing the source of a process state change core, wherein the method specifically comprises the steps of calculating the variance of the intra-mold pressure fluctuation coefficient sequence as the total energy of pressure disturbance and calculating the covariance of the intra-mold pressure fluctuation coefficient sequence and the other two sequences as the coupling energy from the pressure disturbance to a resistance field and a temperature field in the same sliding time window; subtracting the sum of the two coupling energies from the total energy of the pressure disturbance to obtain residual energy maintained by the pressure field, and dividing three energy values by the sum of the two coupling energies and the total energy of the pressure disturbance to obtain the self energy ratio of the pressure field, the coupling energy ratio of the resistance field and the coupling energy ratio of the temperature field; Respectively subtracting the average value of the corresponding sequences in the previous sliding time window from the in-mold pressure fluctuation coefficient, the curing resistance coefficient and the curing interface temperature difference value at the current moment to obtain three instantaneous variation, dividing the three instantaneous variation by the standard deviation of the corresponding sequences in the previous sliding time window to obtain the variation intensity coefficient, and multiplying the three energy proportion by the corresponding variation intensity coefficient to obtain the pressure field master control degree, the resistance field master control degree and the temperature field master control degree; The method comprises the steps of taking the maximum value of three main control degrees as a deviation main control factor, marking the corresponding main control field, marking the two field main controls if the two main control degrees are equal and the maximum value is the maximum value, marking the three field main controls if the three main control degrees are the same, and obtaining the deviation main control factor of a process state change core source.
  8. 8. The method for optimizing the pultrusion speed of a carbon fiber composite core according to claim 7, wherein the collaborative analysis is performed on the intra-mold pressure fluctuation coefficient, the curing resistance coefficient and the curing interface temperature difference value to generate a speed optimization mark indicating the speed adjustment direction, further comprising: judging the speed adjusting direction according to the deviation master control factor, and generating a speed optimizing mark for representing the speed adjusting direction, wherein the speed optimizing mark specifically comprises a pull-extrusion speed reduction step, a speed optimizing mark 2, a pull-extrusion speed improvement step, a speed optimizing mark 1, a pull-extrusion speed maintenance step, a speed optimizing mark 3, and a speed optimizing mark 3 when the deviation master control factor is the single dominant of a pressure field; If the deviation master control factor is a plurality of field dominance, no matter whether the situation that two or three fields are dominating together occurs, the speed optimization is marked as 2 as long as any dominant field meets the speed reduction logic, if neither of the dominant fields meets the speed reduction logic but the speed increase logic exists, the speed optimization is marked as 1, otherwise the speed optimization is marked as 3; the pressure field dominance is regarded as meeting the speed reduction logic, the resistance field dominance is regarded as meeting the speed increasing logic, and the temperature field dominance does not meet the speed increasing logic nor the speed reduction logic.
  9. 9. The method of claim 8, wherein determining a speed optimization strategy based on the speed optimization identification, the real-time current value, and the rated current comprises: If the speed optimization mark is 1 and the real-time current value is less than the rated current, the speed optimization strategy is to allow the speed to be increased; If the speed optimization mark is 2, the speed optimization strategy is to allow speed reduction; otherwise, processing according to the speed optimization mark of 3, and if the speed optimization mark is 3, keeping the current speed by the speed optimization strategy; wherein, the speed optimization mark is 1, which indicates that the current process state is dominated by the resistance field singly or in the multi-field jointly, only contains the resistance field dominance and does not contain the pressure field dominance; The speed optimization mark is 2, which indicates that the current process state is dominated by the pressure field singly or jointly dominated by multiple fields, wherein the pressure field dominance is contained; the speed optimization is identified as 3, which indicates that the current process state is dominated by the temperature field alone or in combination with the temperature field alone, the pressure field alone and the resistance field.
  10. 10. A carbon fiber composite core pultrusion speed optimization system for use in the optimization method according to any of claims 1-9, comprising: The data acquisition unit is used for acquiring the inner wall temperature and the inner wall resin pressure of the inner wall of the mold corresponding to the starting end, the center position and the end of the gel section of the preheating section and the end of the curing section of the mold in real time, acquiring the surface layer temperature of the target object when the mold is ejected at the outlet of the mold in real time, and acquiring the diameter of the target object; The influence analysis unit is used for analyzing the inner wall resin pressure of the center position of the gel section and the beginning end of the preheating section, generating a fluctuation coefficient of the in-mold pressure which represents the influence of the pressure at the front end of the mold on the stability of the gel section, and calculating the inner wall resin pressure at the end of the curing section and the inner wall resin pressure at the center position of the gel section to obtain a curing resistance coefficient which represents the demolding resistance state of a target object at the tail end of the mold; the temperature analysis unit is used for calculating the surface temperature, the diameter and the inner wall temperature of the center position of the gel section to obtain a curing interface temperature difference value reflecting the matching degree of the surface layer and the internal curing progress of the target object; the speed optimization unit is used for carrying out cooperative analysis on the intra-mold pressure fluctuation coefficient, the curing resistance coefficient and the curing interface temperature difference value to generate a speed optimization mark representing the speed adjustment direction; the speed adjusting unit is used for acquiring the real-time current value and rated current of the traction motor in the target object pultrusion equipment, and determining a speed optimization strategy according to the speed optimization mark, the real-time current value and the rated current.

Description

Carbon fiber composite core pultrusion speed optimization method and system Technical Field The invention relates to the technical field of product forming, in particular to a carbon fiber composite core pultrusion speed optimization method and system. Background At present, in the carbon fiber composite core pultrusion process, a control mode of constant speed is generally adopted to ensure the pultrusion of the carbon fiber composite core, namely, an operator can fully soften a carbon fiber bundle after resin impregnation in a preheating zone and begin to crosslink a gel zone and fully mold a curing zone by setting a fixed pultrusion speed value according to the characteristics of resin and the length distribution of a heating zone of the die when the carbon fiber composite core passes through the die with sectional heating. However, the above-mentioned pultrusion method still has the following defects that when the carbon fiber composite core with a large diameter, such as a diameter greater than or equal to 12mm is subjected to pultrusion, because the carbon fiber composite core is a poor conductor with heat, the heat transfer of the core has obvious hysteresis effect, the resin can release heat when the crosslinking reaction occurs in the interior of the die, and the heat release rate is strongly related to the pultrusion speed, such as the faster the speed, the more the resin amount which is involved in the reaction in unit time, the more severe the instantaneous heat release, and the constant pultrusion speed in the prior art cannot dynamically adjust the pultrusion speed according to the real-time change of the reaction heat release, so that the pultrusion effect of the carbon fiber composite core is affected. Disclosure of Invention Aiming at the defects of the prior art, the invention provides a carbon fiber composite core pultrusion speed optimization method and a system, which solve the problems. The technical aim of the invention is realized by the following technical scheme: a method for optimizing the pultrusion speed of a carbon fiber composite core, comprising: Step S1, acquiring the inner wall temperature and the inner wall resin pressure of the inner wall of the mold corresponding to the initial end, the center position and the end of the gel section of the preheating section and the end of the curing section of the mold in real time, acquiring the surface layer temperature of a target object when the target object is ejected from the mold at the outlet of the mold in real time, and acquiring the diameter of the target object; s2, analyzing the inner wall resin pressure of the center position of the gel section and the initial end of the preheating section, generating a fluctuation coefficient of the in-mold pressure which represents the influence of the pressure at the front end of the mold on the stability of the gel section, and calculating the inner wall resin pressure at the end of the curing section and the inner wall resin pressure at the center position of the gel section to obtain a curing resistance coefficient which represents the demolding resistance state of a target object at the tail end of the mold; step S3, calculating the surface layer temperature, the diameter and the inner wall temperature of the center position of the gel section to obtain a curing interface temperature difference value reflecting the matching degree of the surface layer of the target object and the internal curing progress; S4, carrying out cooperative analysis on the intra-mold pressure fluctuation coefficient, the curing resistance coefficient and the curing interface temperature difference value to generate a speed optimization mark representing a speed adjustment direction; and S5, acquiring a real-time current value and rated current of a traction motor in the target object pultrusion equipment, and determining a speed optimization strategy according to the speed optimization mark, the real-time current value and the rated current. Further, the mold and the target object include: The die is a metal die for forming the carbon fiber composite core; the target object is a carbon fiber composite core. Further, analyzing the inner wall resin pressure at the center position of the gel section and at the beginning end of the preheating section to generate an in-mold pressure fluctuation coefficient representing the influence of the pressure at the front end of the mold on the stability of the gel section, comprising: analyzing the fluctuation amplitude and frequency of the resin pressure at the inner wall of the starting end of the preheating section to generate a pressure fluctuation base value reflecting the dynamic change degree of the pressure; and performing correlation analysis on the pressure fluctuation base value and the inner wall resin pressure at the center position of the gel section, and analyzing the transmission and attenuation of fluctuation energy to generate a fluctuation coefficient