CN113635548B - Control method for hot-melting electrohydrodynamic high-uniformity jet printing three-dimensional microstructure - Google Patents

Control method for hot-melting electrohydrodynamic high-uniformity jet printing three-dimensional microstructure Download PDF

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CN113635548B
CN113635548B CN202110899363.3A CN202110899363A CN113635548B CN 113635548 B CN113635548 B CN 113635548B CN 202110899363 A CN202110899363 A CN 202110899363A CN 113635548 B CN113635548 B CN 113635548B
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jet
hot
error
diameter
electrohydrodynamic
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CN113635548A (en
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张礼兵
吴婷
黄风立
汤成莉
宋海军
邢博
左春柽
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Jiaxing Zhewai Medical Technology Co ltd
Jiaxing University
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Jiaxing University
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B29WORKING OF PLASTICS; WORKING OF SUBSTANCES IN A PLASTIC STATE IN GENERAL
    • B29CSHAPING OR JOINING OF PLASTICS; SHAPING OF MATERIAL IN A PLASTIC STATE, NOT OTHERWISE PROVIDED FOR; AFTER-TREATMENT OF THE SHAPED PRODUCTS, e.g. REPAIRING
    • B29C64/00Additive manufacturing, i.e. manufacturing of three-dimensional [3D] objects by additive deposition, additive agglomeration or additive layering, e.g. by 3D printing, stereolithography or selective laser sintering
    • B29C64/10Processes of additive manufacturing
    • B29C64/106Processes of additive manufacturing using only liquids or viscous materials, e.g. depositing a continuous bead of viscous material
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B29WORKING OF PLASTICS; WORKING OF SUBSTANCES IN A PLASTIC STATE IN GENERAL
    • B29CSHAPING OR JOINING OF PLASTICS; SHAPING OF MATERIAL IN A PLASTIC STATE, NOT OTHERWISE PROVIDED FOR; AFTER-TREATMENT OF THE SHAPED PRODUCTS, e.g. REPAIRING
    • B29C64/00Additive manufacturing, i.e. manufacturing of three-dimensional [3D] objects by additive deposition, additive agglomeration or additive layering, e.g. by 3D printing, stereolithography or selective laser sintering
    • B29C64/30Auxiliary operations or equipment
    • B29C64/386Data acquisition or data processing for additive manufacturing
    • B29C64/393Data acquisition or data processing for additive manufacturing for controlling or regulating additive manufacturing processes
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B33ADDITIVE MANUFACTURING TECHNOLOGY
    • B33YADDITIVE MANUFACTURING, i.e. MANUFACTURING OF THREE-DIMENSIONAL [3-D] OBJECTS BY ADDITIVE DEPOSITION, ADDITIVE AGGLOMERATION OR ADDITIVE LAYERING, e.g. BY 3-D PRINTING, STEREOLITHOGRAPHY OR SELECTIVE LASER SINTERING
    • B33Y10/00Processes of additive manufacturing
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B33ADDITIVE MANUFACTURING TECHNOLOGY
    • B33YADDITIVE MANUFACTURING, i.e. MANUFACTURING OF THREE-DIMENSIONAL [3-D] OBJECTS BY ADDITIVE DEPOSITION, ADDITIVE AGGLOMERATION OR ADDITIVE LAYERING, e.g. BY 3-D PRINTING, STEREOLITHOGRAPHY OR SELECTIVE LASER SINTERING
    • B33Y50/00Data acquisition or data processing for additive manufacturing
    • B33Y50/02Data acquisition or data processing for additive manufacturing for controlling or regulating additive manufacturing processes
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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Abstract

The invention discloses a hot-melt electrohydrodynamic high-uniformity spray printing three-dimensional microstructure control method, which comprises the following steps of: 1. determining errors and error changes between the hot-melt electrohydrodynamic jet printing expected jet diameter and the actual jet diameter; 2. fuzzification processing; 3. calculating input fuzzy variable domain change factors; 4. determining a new domain of input fuzzy variables; 5. calculating fuzzy variables in the new theoretical domain; 6. the nonlinear variable domain fuzzy control rule is adjusted in a self-adaptive manner; 7. defuzzification processing is carried out on technological parameter control quantity of hot-melt electrohydrodynamic jet printing multi-physical field; 8. and (4) carrying out jet printing on the three-dimensional microstructure. The diameter of the jet flow is detected in real time, a self-adaptive control method of nonlinear variable universe fuzzy control is adopted, the technological parameters of multiple physical fields are self-adaptively controlled, the stability of the jet flow form of the hot-melt electrohydrodynamic jet printing is effectively controlled, the high-uniformity jet printing of the three-dimensional microstructure is realized, and the preparation quality is improved.

Description

Control method for hot-melt electrohydrodynamic high-uniformity jet printing three-dimensional microstructure
Technical Field
The invention belongs to the technical field of electrohydrodynamics jet printing, and particularly relates to a control method for hot-melt electrohydrodynamics high-uniformity jet printing of a three-dimensional microstructure.
Background
With the fields of biomedical treatment, tissue engineering, new materials, microelectronic manufacturing, micro-electro-mechanical systems, micro-nano sensors, biochips, flexible electronics and the like, great industrial demands are made on microstructures. The traditional micro/nano manufacturing technology, such as photoetching technology, micro laser sintering, electron beam induced deposition, two-photon polymerization laser direct writing and other technologies, still has the problems that the high-efficiency, low-cost and mass manufacturing industrialized application requirements are difficult to meet in the aspects of productivity, manufacturing cost, material generalization and the like, and the equipment is expensive, the manufacturing cost is high, the period is long, the available materials are few and the like.
The hot-melting electrohydrodynamic jet printing technology has the advantages of high resolution, no need of a template, simple process, non-contact, environmental protection and the like, and has wide application prospect in the aspect of three-dimensional microstructure preparation. The phase-change ink material is used as a hot-melt material to prepare a three-dimensional microstructure by adopting a hot-melt electrohydrodynamic jet printing technology, the hot-melt electrohydrodynamic jet printing technology is used for preparing a heart tissue engineering of a polycaprolactone support, and the hot-melt electrohydrodynamic jet printing technology is used for preparing a bone tissue engineering of a polycaprolactone/polyethylene glycol/copolymer support. However, the traditional process of jet printing the three-dimensional microstructure by hot-melt electrohydrodynamics is an open-loop control mode, and the jet form of the jet printing by the hot-melt electrohydrodynamics is not effectively controlled, so that the jet printing uniformity of the three-dimensional microstructure is influenced.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a control method for a hot-melt electrohydrodynamic high-uniformity jet printing three-dimensional microstructure.
In order to achieve the purpose, the invention provides a control method of a hot-melt electrohydrodynamic high-uniformity jet printing three-dimensional microstructure, which comprises the following steps:
1) determining errors and error changes between the hot-melt electrohydrodynamic jet printing expected jet diameter and the actual jet diameter;
2) fuzzification processing is carried out on errors and error changes between the determined hot-melt electrohydrodynamic spray printing expected jet diameter and the actual jet diameter, and error fuzzy variables and error change fuzzy variables are obtained;
3) respectively obtaining an error fuzzy variable domain change factor and an error variable domain change factor;
4) respectively determining error fuzzy variables and new domains of the error change fuzzy variables between the hot-melt electrohydrodynamic jet printing expected jet diameter and the actual jet diameter;
5) calculating fuzzy variables of errors and error changes in a new theoretical domain;
6) self-adaptive adjustment is carried out based on a nonlinear variable theory domain fuzzy control rule to obtain fuzzy control quantity of hot-melt electrohydrodynamic jet flow multi-physical field process parameters;
7) defuzzification processing is carried out on the fuzzy control quantity of the hot-melting electrohydrodynamic jet flow multi-physical field process parameter to obtain the hot-melting electrohydrodynamic jet flow multi-physical field process parameter control quantity;
8) sending the technological parameter control quantity of the hot-melting electrohydrodynamic jet flow multi-physical field to a hot-melting electrohydrodynamic jet printing controller, adjusting the technological parameter by the controller according to the technological parameter control quantity of the hot-melting electrohydrodynamic jet flow multi-physical field, and carrying out hot-melting electrohydrodynamic three-dimensional microstructure jet printing;
9) and (3) judging whether the hot-melt electrohydrodynamic three-dimensional microstructure spray printing is finished or not, if so, finishing the spray printing, otherwise, jumping to the step 1), and continuing to circularly spray printing.
Determining the error and error variation between the expected jet diameter and the actual jet diameter of the hot-melt electrohydrodynamics jet printing according to the actual jet diameter detected by the hot-melt electrohydrodynamics jet printing in the step 2), and performing fuzzification processing to obtain error fuzzy variables and error variation fuzzy variables
Figure BDA0003197514710000021
E (k) the firstThe k moment is an error fuzzy variable between the expected jet diameter and the actual jet diameter of the hot-melt electrohydrodynamic jet printing, EC(k) For the jet printing of the error variation fuzzy variable between the desired jet diameter and the actual jet diameter at the kth moment in the thermoelectrohydrodynamiceFor the error quantization factor, k is satisfiede=Emax/emax,EmaxMaximum value of the error ambiguity variable between the desired jet diameter and the actual jet diameter, e, for hot-melt electrohydrodynamic jet printingmaxFor hot-melt electrohydrodynamic spraying the maximum value of the error between the desired jet diameter and the actual jet diameter, kecFor error variation quantization factor, satisfy kec=ECmax/ecmax,ECmaxPrinting the maximum value of the ambiguity of the error variation between the desired jet diameter and the actual jet diameter, ecmaxAnd e (k) is the maximum value of the error variation between the expected jet diameter and the actual jet diameter of the hot-melting electrohydrodynamic jet printing, e (k) is the error between the expected jet diameter and the actual jet diameter of the hot-melting electrohydrodynamic jet printing at the kth moment, and delta e (k) is the error variation between the expected jet diameter and the actual jet diameter of the hot-melting electrohydrodynamic jet printing at the kth moment.
In step 3) by
Figure BDA0003197514710000031
Respectively obtaining an error fuzzy variable range change factor and an error change fuzzy variable range change factor, theta (k) is the error fuzzy variable range change factor between the expected jet diameter and the actual jet diameter of the hot-melt electrohydrodynamic jet printing at the kth moment, alpha is an index parameter of the error fuzzy variable range change factor, and alpha is an element (0, 1)]Tau (k) is an error change fuzzy variable range change factor between the expected jet diameter and the actual jet diameter of the hot-melt electrohydrodynamic jet printing at the kth moment, beta is an index parameter of the error change fuzzy variable range change factor, and the condition that beta belongs to (0, 1) is met],EmaxPrinting the maximum value of error fuzzy variable between the expected jet diameter and the actual jet diameter for the hot-melting electrohydrodynamic jet printing, wherein the k (th) time is the diameter of the hot-melting electrohydrodynamic jet printing expected jetAnd the fuzzy error variable between the actual jet diameter, EC(k) For the jet printing of the error-variable fuzzy variable between the desired jet diameter and the actual jet diameter at the time k, ECmaxAnd printing the maximum value of the error change fuzzy quantity between the expected jet diameter and the actual jet diameter for the hot-melt electrohydrodynamic jet printing.
In step 5), according to the definition of the quantization factor, the quantization factor in the new theoretical domain is calculated as
Figure BDA0003197514710000032
Respectively calculating the error between the expected jet diameter and the actual jet diameter of the hot-melt electrohydrodynamic jet printing and the fuzzy variable of the error change in a new theoretical domain
Figure BDA0003197514710000041
Wherein k'eFor the error quantization factor in the new theoretical domain,
Figure BDA0003197514710000043
theta (k) is an error fuzzy variable theory domain change factor between the hot melt electrohydrodynamics spray printing expected jet diameter and the actual jet diameter at the kth moment, and E is an error change quantization factor in a new theory domainmaxMaximum value of the error ambiguity variable between the desired jet diameter and the actual jet diameter, e, for hot-melt electrohydrodynamic jet printingmaxThe maximum value of the error between the expected jet diameter and the actual jet diameter is printed for the hot melt electrohydrodynamic spray printing, tau (k) is the fuzzy variable domain change factor of the error change between the expected jet diameter and the actual jet diameter of the hot melt electrohydrodynamic spray printing at the kth moment, ECmaxMaximum value of the ambiguity of the error variation between the desired jet diameter and the actual jet diameter, e, for thermohydrodynamic jet printingcmaxThe maximum amount of error variation between the desired jet diameter and the actual jet diameter is printed for hot melt electrohydrodynamic printing.
In step 6), the adaptive adjustment of the nonlinear discourse domain fuzzy control rule is carried out according to the comprehensive consideration of the relation between the error fuzzy variable and the error change fuzzy variable, when the error is larger, the control weight is increased for the error control, the larger the error is, the larger the weight is, when the error change is larger, the control weight is increased for the error change control, the larger the error change is, the larger the weight is, and then the nonlinear discourse domain adaptive fuzzy control rule is obtained as
Figure BDA0003197514710000042
In the formula, U (k) is fuzzy control quantity of multi-physical-field process parameters of jet flow of hot-melting electrohydrodynamics jet printing at the k moment, theta (k) is an error fuzzy variable universe change factor between the expected jet flow diameter and the actual jet flow diameter of hot-melting electrohydrodynamics jet printing at the k moment, E (k) is an error fuzzy variable between the expected jet flow diameter and the actual jet flow diameter of hot-melting electrohydrodynamics jet printing at the k moment, tau (k) is an error fuzzy variable universe change factor between the expected jet flow diameter and the actual jet flow diameter of hot-melting electrohydrodynamics jet printing at the k moment, E (k) is a fuzzy variable universe change factor between the expected jet flow diameter and the actual jet flow diameter of hot-melting electrodynamics jet flow diameterC(k) And (4) printing an error change fuzzy variable between the expected jet diameter and the actual jet diameter for the hot melt electrohydrodynamic spray printing at the k-th moment.
Defuzzification processing is carried out on the fuzzy control quantity of the multi-physical-field technological parameters of the hot-melt electrohydrodynamic jet printing in the step 7), so as to obtain the multi-physical-field technological parameter control quantity of the hot-melt electrohydrodynamic jet printing: u (k) ═ nu(k) X U (k), wherein u (k) is the technological parameter control quantity of the hot melt electrohydrodynamic jet printing jet flow multi-physical field at the k moment, nu(k) Is a scale factor for the time of the k-th time,
Figure BDA0003197514710000051
in the formula umaxIs the maximum value of the technological parameter control of the hot-melting electrohydrodynamic jet printing multi-physical field, UmaxIs the maximum value of fuzzy control quantity of multi-physical field process parameters of hot-melting electrohydrodynamics jet printing, theta (k) is the fuzzy variable domain variation factor of error between the expected jet diameter and the actual jet diameter of hot-melting electrohydrodynamics jet printing at the kth moment, and E (k) is hot melting at the kth momentError fuzzy variable between the expected jet diameter and the actual jet diameter of the electrohydrodynamic jet printing, wherein tau (k) is an error variable fuzzy variable universe change factor between the expected jet diameter and the actual jet diameter of the hot-melt electrohydrodynamic jet printing at the kth moment, EC(k) And (4) printing an error change fuzzy variable between the expected jet diameter and the actual jet diameter for the hot melt electrohydrodynamic spray printing at the kth moment.
The invention has the beneficial effects that: the method has the advantages that the diameter of the jet flow is detected in real time, the multi-physical-field process parameters of the jet flow of the hot-melt electrohydrodynamic jet printing are adaptively controlled by adopting a self-adaptive control method of nonlinear variable universe fuzzy control, the stability of the jet flow form of the hot-melt electrohydrodynamic jet printing is effectively controlled, the high-uniformity jet printing of the three-dimensional microstructure is realized, and the preparation quality of the three-dimensional microstructure of the hot-melt electrohydrodynamic jet printing is improved.
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FIG. 1 is a flow chart of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.
It should be noted that all the directional indicators (such as up, down, left, right, front, and rear … …) in the embodiment of the present invention are only used to explain the relative position relationship between the components, the movement situation, etc. in a specific posture (as shown in the drawing), and if the specific posture is changed, the directional indicator is changed accordingly.
In the present invention, unless otherwise expressly stated or limited, the terms "connected," "secured," and the like are to be construed broadly, and for example, "secured" may be a fixed connection, a removable connection, or an integral part; can be mechanically connected or connected; they may be directly connected or indirectly connected through intervening media, or they may be connected internally or in any other suitable relationship, unless expressly stated otherwise. The specific meanings of the above terms in the present invention can be understood according to specific situations by those of ordinary skill in the art.
In addition, the descriptions related to "first", "second", etc. in the present invention are only for descriptive purposes and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In addition, technical solutions between various embodiments may be combined with each other, but must be realized by a person skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination should not be considered to exist, and is not within the protection scope of the present invention.
In order to realize the uniformity jet printing of the three-dimensional microstructure of the hot-melting electrohydrodynamics, a non-linear variable theory domain fuzzy control self-adaptive control method is adopted according to the jet diameter detected in real time, the technological parameters of the jet flow multi-physical field of the hot-melting electrohydrodynamics jet printing are self-adaptively controlled, and the stability of the jet flow form of the hot-melting electrohydrodynamics jet printing is effectively controlled, so that the uniformity jet printing of the three-dimensional microstructure is realized, and the specific realization steps are as follows:
(1) determining the error and error change between the expected jet diameter and the actual jet diameter of the hot-melt electrohydrodynamic jet printing, wherein the expression is as follows:
Figure BDA0003197514710000061
wherein e (k) is the error between the desired jet diameter and the actual jet diameter at the k-th instant of the thermoelectrohydrodynamic jet printing, re(k) Jet diameter r desired for the thermoelectrohydrodynamic jet printing at the k-th point in timea(k) For the jet diameter of the thermoelectrohydrodynamic jet at the k-th point in time,. DELTA.e (k) for the jet diameter of the jet expected for the thermoelectrohydrodynamic jet at the k-th point in time andand e (k-1) is the error between the expected jet diameter and the actual jet diameter of the hot melt electrohydrodynamic jet printing at the k-1 moment.
(2) And (3) fuzzifying errors and error changes between the expected jet diameter and the actual jet diameter in hot-melt electrohydrodynamic jet printing. According to the actual jet diameter detected by hot-melt electrohydrodynamics jet printing, determining the error and the error variation between the expected jet diameter and the actual jet diameter of the hot-melt electrohydrodynamics jet printing, and performing fuzzification processing to obtain error fuzzy variables and error variation fuzzy variables as follows:
Figure BDA0003197514710000071
wherein, the k time of E (k) is an error fuzzy variable between the expected jet diameter and the actual jet diameter of the hot melt electrohydrodynamic jet printing, and EC(k) For the jet printing of the error variation fuzzy variable between the desired jet diameter and the actual jet diameter at the kth moment in the thermoelectrohydrodynamiceFor the error quantization factor, k is satisfiede=Emax/emax,EmaxMaximum value of the error ambiguity variable between the desired jet diameter and the actual jet diameter, e, for hot-melt electrohydrodynamic jet printingmaxFor hot-melt electrohydrodynamic spraying the maximum value of the error between the desired jet diameter and the actual jet diameter, kecFor error variation quantization factor, satisfy kec=ECmax/ecmax,ECmaxMaximum value of the ambiguity of the error variation between the desired jet diameter and the actual jet diameter, e, for thermohydrodynamic jet printingcmaxThe maximum amount of error variation between the desired jet diameter and the actual jet diameter is printed for hot melt electrohydrodynamic printing.
(3) And calculating the input fuzzy variable domain change factor. Respectively calculating an error fuzzy variable domain change factor and an error fuzzy variable domain change factor between the hot-melt electrohydrodynamic jet printing expected jet diameter and the actual jet diameter as follows:
Figure BDA0003197514710000072
in the formula, theta (k) is an error fuzzy variable range change factor between the expected jet diameter and the actual jet diameter of the hot-melt electrohydrodynamics jet printing at the kth moment, alpha is an index parameter of the error fuzzy variable range change factor and meets the requirement of alpha (0, 1), tau (k) is an error variable fuzzy variable range change factor between the expected jet diameter and the actual jet diameter of the hot-melt electrohydrodynamics jet printing at the kth moment, and beta is an index parameter of the error variable fuzzy variable range change factor and meets the requirement of beta (0, 1).
(4) And determining a new domain of the input fuzzy variable. The new domain for determining the fuzzy error variable between the expected jet diameter and the actual jet diameter of the hot-melt electrohydrodynamic jet printing is [ -theta Emax,θEmax]Determining a new argument of a fuzzy variable of error variation between a desired jet diameter and an actual jet diameter of a hot-melt electrohydrodynamic jet printingCmax,τECmax]。
(5) The fuzzy variables of the error and the error variation in the new theoretical domain are calculated. According to the definition of the quantization factor, the quantization factor in the new theoretical domain is calculated as:
Figure BDA0003197514710000081
fuzzy variables of errors and error changes between the hot-melt electrohydrodynamic jet printing expected jet diameter and the actual jet diameter in a new theoretical domain are respectively calculated as follows:
Figure BDA0003197514710000082
(6) and the nonlinear variable domain fuzzy control rule is adaptively adjusted. And comprehensively considering the relationship between the error fuzzy variable and the error change fuzzy variable to perform self-adaptive adjustment of the nonlinear variable domain fuzzy control rule, when the error is larger, increasing the control weight for the error control, wherein the larger the error is, the larger the weight is, and when the error is larger, the larger the error is, the larger the weight is. The obtained nonlinear variable domain adaptive fuzzy control rule is as follows:
Figure BDA0003197514710000083
in the formula, U (k) is the fuzzy control quantity of the multi-physical-field process parameters of the hot-melt electrohydrodynamic jet printing jet at the k moment.
(7) And (3) defuzzifying the technological parameter control quantity of the hot-melt electrohydrodynamic jet printing multi-physical field. Defuzzification processing is carried out on fuzzy control quantity of the hot-melt electrohydrodynamic jet flow multi-physical field process parameters to obtain the hot-melt electrohydrodynamic jet flow multi-physical field process parameter control quantity as follows:
u(k)=nu(k)×U(k) (7)
wherein u (k) is the control quantity of the multi-physical-field technological parameters of the jet flow of the hot-melt electrohydrodynamics jet printing at the k moment, nu(k) Is a time k scale factor, which is expressed as:
Figure BDA0003197514710000084
in the formula umaxIs the maximum value of the technological parameter control of the hot-melting electrohydrodynamic jet printing multi-physical field, UmaxThe maximum value of the fuzzy control quantity of the multi-physical field process parameters of the hot-melt electrohydrodynamic jet printing jet flow.
(8) And sending the technological parameter control quantity of the hot-melting electrohydrodynamics spray printing multiple physical fields to a hot-melting electrohydrodynamics spray printing controller, adjusting the technological parameters by the controller according to the technological parameter control quantity of the hot-melting electrohydrodynamics spray printing multiple physical fields, and carrying out hot-melting electrohydrodynamics three-dimensional microstructure spray printing.
(9) And (3) judging whether the hot-melt electrohydrodynamic three-dimensional microstructure spray printing is finished or not, if so, finishing the spray printing, otherwise, jumping to the step (1), and continuing to circularly spray printing.
The examples should not be construed as limiting the present invention, but any modifications made based on the spirit of the present invention should be within the scope of protection of the present invention.

Claims (4)

1. A hot-melt electrohydrodynamic high-uniformity spray printing three-dimensional microstructure control method is characterized by comprising the following steps: which comprises the following steps:
1) determining errors and error changes between the hot-melt electrohydrodynamic jet printing expected jet diameter and the actual jet diameter;
2) fuzzification processing is carried out on errors and error changes between the determined hot-melt electrohydrodynamic spray printing expected jet diameter and the actual jet diameter, and error fuzzy variables and error change fuzzy variables are obtained;
3) respectively obtaining an error fuzzy variable domain change factor and an error variable domain change factor;
4) respectively determining error fuzzy variables and new domains of the error change fuzzy variables between the hot-melt electrohydrodynamic jet printing expected jet diameter and the actual jet diameter;
5) calculating fuzzy variables of errors and error changes in a new theoretical domain;
6) self-adaptive adjustment is carried out based on a nonlinear variable theory domain fuzzy control rule to obtain fuzzy control quantity of hot-melt electrohydrodynamic jet flow multi-physical field process parameters;
7) defuzzification processing is carried out on the fuzzy control quantity of the hot-melting electrohydrodynamic jet flow multi-physical field process parameter to obtain the hot-melting electrohydrodynamic jet flow multi-physical field process parameter control quantity;
8) sending the technological parameter control quantity of the hot-melting electrohydrodynamic jet flow multi-physical field to a hot-melting electrohydrodynamic jet printing controller, adjusting the technological parameter by the controller according to the technological parameter control quantity of the hot-melting electrohydrodynamic jet flow multi-physical field, and carrying out hot-melting electrohydrodynamic three-dimensional microstructure jet printing;
9) judging whether the hot-melt electrohydrodynamic three-dimensional microstructure spray printing is finished or not, if the spray printing is finished, finishing the spray printing, otherwise, jumping to the step 1), continuing to circularly spray printing,
in step 6), the adaptive adjustment of the nonlinear discourse domain fuzzy control rule is carried out according to the comprehensive consideration of the relation between the error fuzzy variable and the error change fuzzy variable, when the error is larger, the control weight is increased for the error control, the larger the error is, the larger the weight is, when the error change is larger, the control weight is increased for the error change control, the larger the error change is, the larger the weight is, and then the nonlinear discourse domain adaptive fuzzy control rule is obtained as
Figure FDA0003562127400000021
In the formula, U (k) is fuzzy control quantity of multi-physical-field process parameters of jet flow of hot-melting electrohydrodynamics jet printing at the k moment, theta (k) is an error fuzzy variable universe change factor between the expected jet flow diameter and the actual jet flow diameter of hot-melting electrohydrodynamics jet printing at the k moment, E (k) is an error fuzzy variable between the expected jet flow diameter and the actual jet flow diameter of hot-melting electrohydrodynamics jet printing at the k moment, tau (k) is an error fuzzy variable universe change factor between the expected jet flow diameter and the actual jet flow diameter of hot-melting electrohydrodynamics jet printing at the k moment, E (k) is a fuzzy variable universe change factor between the expected jet flow diameter and the actual jet flow diameter of hot-melting electrodynamics jet flow diameterC(k) The fuzzy variable of the error change between the expected jet diameter and the actual jet diameter is printed for the hot melt electrohydrodynamic spray printing at the kth moment,
step 7), defuzzification processing is carried out on the fuzzy control quantity of the hot-melt electrohydrodynamic jet flow multi-physical field process parameters to obtain the hot-melt electrohydrodynamic jet flow multi-physical field process parameter control quantity: u (k) ═ nu(k) X U (k), wherein u (k) is the technological parameter control quantity of the hot melt electrohydrodynamic jet printing jet flow multi-physical field at the k moment, nu(k) Is a scale factor for the time of the k-th time,
Figure FDA0003562127400000022
in the formula umaxIs the maximum value of the technological parameter control of the hot-melting electrohydrodynamic jet printing multi-physical field, UmaxJet printing for thermohydrodynamic jet printingThe maximum value of fuzzy control quantity of process parameters of a theoretical field, theta (k) is a universe change factor of fuzzy variables of errors between the expected jet diameter and the actual jet diameter of the hot-melt electrohydrodynamics jet printing at the kth moment, E (k) the universe change factor of fuzzy variables of errors between the expected jet diameter and the actual jet diameter of the hot-melt electrohydrodynamics jet printing at the kth moment, tau (k) is a universe change factor of fuzzy variables of errors between the expected jet diameter and the actual jet diameter of the hot-melt electrohydrodynamics jet printing at the kth moment, E (k) the universe change factor of fuzzy variables of errors between the expected jet diameter and the actual jet diameter of the hot-melt electrodynamics jet printing at the kth momentC(k) And (4) printing an error change fuzzy variable between the expected jet diameter and the actual jet diameter for the hot melt electrohydrodynamic spray printing at the k-th moment.
2. The method for controlling the hot-melt electrohydrodynamic high-uniformity jet printing three-dimensional microstructure according to claim 1, wherein the method comprises the following steps: in the step 2), according to the actual jet diameter detected by the hot-melt electrohydrodynamic jet printing, determining the error and the error variation between the expected jet diameter and the actual jet diameter of the hot-melt electrohydrodynamic jet printing, and performing fuzzification processing to obtain an error fuzzy variable and an error variation fuzzy variable
Figure FDA0003562127400000023
E (k) the moment k is the fuzzy variable of the error between the diameter of the hot-melt electrohydrodynamic jet printing expected jet and the diameter of the actual jet, EC(k) For the jet printing of the error variation fuzzy variable between the desired jet diameter and the actual jet diameter at the kth moment in the thermoelectrohydrodynamiceSatisfy k for the error quantization factore=Emax/emax,EmaxMaximum value of the error ambiguity variable between the desired jet diameter and the actual jet diameter, e, for hot-melt electrohydrodynamic jet printingmaxPrinting the maximum value of the error between the desired jet diameter and the actual jet diameter, ke, for thermoelectrohydrodynamic sprayingcFor error variation quantization factor, satisfy kec=ECmax/ecmax,ECmaxPrinting desired and actual jet diameters for hot melt electrohydrodynamic jet printingMaximum value of error variation blur amount between, ecmaxAnd e (k) is the maximum value of the error variation between the expected jet diameter and the actual jet diameter of the hot-melting electrohydrodynamic jet printing, e (k) is the error between the expected jet diameter and the actual jet diameter of the hot-melting electrohydrodynamic jet printing at the kth moment, and delta e (k) is the error variation between the expected jet diameter and the actual jet diameter of the hot-melting electrohydrodynamic jet printing at the kth moment.
3. The method for controlling the hot-melt electrohydrodynamic high-uniformity jet printing three-dimensional microstructure according to claim 1, wherein the method comprises the following steps: in step 3) by
Figure FDA0003562127400000031
Respectively obtaining an error fuzzy variable range change factor and an error change fuzzy variable range change factor, theta (k) is the error fuzzy variable range change factor between the expected jet diameter and the actual jet diameter of the hot-melt electrohydrodynamic jet printing at the kth moment, alpha is an index parameter of the error fuzzy variable range change factor, and alpha is an element (0, 1)]Tau (k) is an error change fuzzy variable range change factor between the expected jet diameter and the actual jet diameter of the hot-melt electrohydrodynamic jet printing at the kth moment, beta is an index parameter of the error change fuzzy variable range change factor, and the condition that beta belongs to (0, 1) is met],EmaxPrinting the maximum value of the fuzzy error variable between the expected jet diameter and the actual jet diameter for the hot-melting electrohydrodynamic spray printing, E (k) the fuzzy error variable between the expected jet diameter and the actual jet diameter for the hot-melting electrohydrodynamic spray printing at the k moment, EC(k) For the jet printing of the error-variable fuzzy variable between the desired jet diameter and the actual jet diameter at the time k, ECmaxAnd printing the maximum value of the error change fuzzy quantity between the expected jet diameter and the actual jet diameter for the hot-melt electrohydrodynamic jet printing.
4. The method for controlling the hot-melt electrohydrodynamic high-uniformity jet printing three-dimensional microstructure according to claim 1, wherein the method comprises the following steps: in step 5), calculating new quantization factors according to the definition of the quantization factorsThe quantization factor in the theory domain is
Figure FDA0003562127400000041
Respectively calculating the error between the expected jet diameter and the actual jet diameter of the hot-melt electrohydrodynamic jet printing and the fuzzy variable of the error change in a new theoretical domain
Figure FDA0003562127400000042
Wherein k'eFor the error quantization factor in the new theoretical domain,
Figure FDA0003562127400000043
theta (k) is an error fuzzy variable theory domain change factor between the hot melt electrohydrodynamics spray printing expected jet diameter and the actual jet diameter at the kth moment, and E is an error change quantization factor in a new theory domainmaxMaximum value of the error ambiguity variable between the desired jet diameter and the actual jet diameter, e, for hot-melt electrohydrodynamic jet printingmaxThe maximum value of the error between the expected jet diameter and the actual jet diameter is printed by the hot melt electrohydrodynamic spray printing, tau (k) is the variable factor of the error change fuzzy variable universe between the expected jet diameter and the actual jet diameter of the hot melt electrohydrodynamic spray printing at the kth moment, ECmaxMaximum value of the ambiguity of the error variation between the desired jet diameter and the actual jet diameter, e, for thermohydrodynamic jet printingcmaxThe maximum amount of error variation between the desired jet diameter and the actual jet diameter is printed for hot melt electrohydrodynamic printing.
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