CN117382183A - Powder material 3D prints many shower nozzles and fuses control system - Google Patents
Powder material 3D prints many shower nozzles and fuses control system Download PDFInfo
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- CN117382183A CN117382183A CN202311555244.1A CN202311555244A CN117382183A CN 117382183 A CN117382183 A CN 117382183A CN 202311555244 A CN202311555244 A CN 202311555244A CN 117382183 A CN117382183 A CN 117382183A
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- 239000000463 material Substances 0.000 title claims abstract description 37
- 239000000843 powder Substances 0.000 title claims abstract description 31
- 239000000853 adhesive Substances 0.000 claims abstract description 96
- 230000001070 adhesive effect Effects 0.000 claims abstract description 96
- 238000004458 analytical method Methods 0.000 claims abstract description 45
- 238000012544 monitoring process Methods 0.000 claims abstract description 14
- 238000010146 3D printing Methods 0.000 claims abstract description 13
- 230000004927 fusion Effects 0.000 claims abstract description 12
- 239000007921 spray Substances 0.000 claims description 130
- 239000011248 coating agent Substances 0.000 claims description 40
- 238000000576 coating method Methods 0.000 claims description 40
- 238000009826 distribution Methods 0.000 claims description 37
- 239000012790 adhesive layer Substances 0.000 claims description 34
- 238000012545 processing Methods 0.000 claims description 23
- 238000000034 method Methods 0.000 claims description 22
- 230000008859 change Effects 0.000 claims description 21
- 230000002159 abnormal effect Effects 0.000 claims description 15
- 238000007639 printing Methods 0.000 claims description 15
- 239000010410 layer Substances 0.000 claims description 14
- 230000005540 biological transmission Effects 0.000 claims description 9
- 230000003749 cleanliness Effects 0.000 claims description 7
- 230000004481 post-translational protein modification Effects 0.000 claims description 7
- 230000001133 acceleration Effects 0.000 claims description 6
- 238000004364 calculation method Methods 0.000 claims description 6
- 238000006073 displacement reaction Methods 0.000 claims description 6
- 230000007246 mechanism Effects 0.000 claims description 6
- LTPSRQRIPCVMKQ-UHFFFAOYSA-N 2-amino-5-methylbenzenesulfonic acid Chemical compound CC1=CC=C(N)C(S(O)(=O)=O)=C1 LTPSRQRIPCVMKQ-UHFFFAOYSA-N 0.000 claims description 5
- 102100027370 Parathymosin Human genes 0.000 claims description 5
- 238000005299 abrasion Methods 0.000 claims description 5
- 238000010191 image analysis Methods 0.000 claims description 5
- 230000008569 process Effects 0.000 claims description 5
- 238000009827 uniform distribution Methods 0.000 claims description 4
- 230000006837 decompression Effects 0.000 claims description 3
- 238000009472 formulation Methods 0.000 claims description 3
- 239000000203 mixture Substances 0.000 claims description 3
- 230000001105 regulatory effect Effects 0.000 claims description 3
- 230000000694 effects Effects 0.000 abstract description 3
- 230000000903 blocking effect Effects 0.000 description 6
- 238000004590 computer program Methods 0.000 description 4
- 230000008878 coupling Effects 0.000 description 3
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- 239000011230 binding agent Substances 0.000 description 2
- 238000004422 calculation algorithm Methods 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 239000004065 semiconductor Substances 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000003708 edge detection Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 229910052602 gypsum Inorganic materials 0.000 description 1
- 239000010440 gypsum Substances 0.000 description 1
- 239000012535 impurity Substances 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000005507 spraying Methods 0.000 description 1
- 230000003746 surface roughness Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
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Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B29—WORKING OF PLASTICS; WORKING OF SUBSTANCES IN A PLASTIC STATE IN GENERAL
- B29C—SHAPING OR JOINING OF PLASTICS; SHAPING OF MATERIAL IN A PLASTIC STATE, NOT OTHERWISE PROVIDED FOR; AFTER-TREATMENT OF THE SHAPED PRODUCTS, e.g. REPAIRING
- B29C64/00—Additive 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
- B29C64/30—Auxiliary operations or equipment
- B29C64/386—Data acquisition or data processing for additive manufacturing
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B22—CASTING; POWDER METALLURGY
- B22F—WORKING METALLIC POWDER; MANUFACTURE OF ARTICLES FROM METALLIC POWDER; MAKING METALLIC POWDER; APPARATUS OR DEVICES SPECIALLY ADAPTED FOR METALLIC POWDER
- B22F12/00—Apparatus or devices specially adapted for additive manufacturing; Auxiliary means for additive manufacturing; Combinations of additive manufacturing apparatus or devices with other processing apparatus or devices
- B22F12/90—Means for process control, e.g. cameras or sensors
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B29—WORKING OF PLASTICS; WORKING OF SUBSTANCES IN A PLASTIC STATE IN GENERAL
- B29C—SHAPING OR JOINING OF PLASTICS; SHAPING OF MATERIAL IN A PLASTIC STATE, NOT OTHERWISE PROVIDED FOR; AFTER-TREATMENT OF THE SHAPED PRODUCTS, e.g. REPAIRING
- B29C64/00—Additive 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
- B29C64/30—Auxiliary operations or equipment
- B29C64/386—Data acquisition or data processing for additive manufacturing
- B29C64/393—Data acquisition or data processing for additive manufacturing for controlling or regulating additive manufacturing processes
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B33—ADDITIVE MANUFACTURING TECHNOLOGY
- B33Y—ADDITIVE 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
- B33Y50/00—Data acquisition or data processing for additive manufacturing
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B33—ADDITIVE MANUFACTURING TECHNOLOGY
- B33Y—ADDITIVE 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
- B33Y50/00—Data acquisition or data processing for additive manufacturing
- B33Y50/02—Data acquisition or data processing for additive manufacturing for controlling or regulating additive manufacturing processes
-
- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P10/00—Technologies related to metal processing
- Y02P10/25—Process efficiency
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- Chemical & Material Sciences (AREA)
- Engineering & Computer Science (AREA)
- Materials Engineering (AREA)
- Manufacturing & Machinery (AREA)
- Physics & Mathematics (AREA)
- Mechanical Engineering (AREA)
- Optics & Photonics (AREA)
- Analytical Chemistry (AREA)
- Automation & Control Theory (AREA)
- Coating Apparatus (AREA)
Abstract
The invention discloses a powder material 3D printing multi-nozzle fusion control system, which relates to the technical field of 3D printing, and is characterized in that the value range of an offset cause analysis index FXZs is compared with a first comparison threshold A, the causes of nozzle offset, a nozzle driving system and nozzle states are analyzed, meanwhile, an adhesive quality monitoring index NHJc is analyzed with a second comparison threshold B, whether a second calibration module is needed to finely adjust the calibration value of the first calibration module is judged, the height difference effect is reduced, and the quality of a formed workpiece is improved.
Description
Technical Field
The invention belongs to the technical field of 3D printing, and particularly relates to a powder material 3D printing multi-nozzle fusion control system.
Background
Powder inkjet 3D printers typically use powder materials, such as gypsum powder or metal powder, and the like, the ink is typically an adhesive that cures on each layer, bonding the powder together, the specific steps include uniform distribution of the powder, spraying the ink, adding a further layer of powder, repeating the process until the object is built layer by layer, and after printing is completed, a post-treatment step is typically required to improve its structural strength or aesthetics, in which, depending on the complexity of the molded workpiece, the adhesive needs to be sprayed onto the surface of the powder layer being laid on the build table in a highly accurate, uniform manner using multiple sprayers, the accuracy of the molded workpiece depending on the calibration control system in the multiple sprayers fusion control system and the quality of the adhesive spray;
the Chinese patent with the publication number of CN111267340B discloses a nozzle calibration method and a nozzle calibration system of a double-nozzle 3D printer, wherein the nozzle calibration method of the double-nozzle 3D printer comprises the steps of establishing a rectangular coordinate system on a hot bed of the 3D printer; calculating offset values of the left nozzle and the right nozzle in the X-axis direction to obtain a first offset value; calculating offset values of the left nozzle and the right nozzle in the Y-axis direction to obtain a second offset value; the left nozzle and the right nozzle are calibrated according to the first offset value and the second offset value, different line groups are printed by the left nozzle and the right nozzle respectively, and completely overlapped lines are selected in the two line groups, so that the offset value is determined, errors caused by manual measurement for determining the offset value can be avoided, and the calibration level is improved;
however, the above scheme has the following disadvantages: the existing multi-nozzle calibration control system for the 3D printer is only limited to carrying out positioning monitoring on the positions of the nozzles, but the reason of nozzle offset cannot be intuitively understood, meanwhile, the purpose of nozzle offset calibration is to enable the adhesive sprayed on a powder layer to be uniformly distributed with high precision, and as the positions and angles of the adhesive released by each nozzle are possibly different, the multi-nozzle can possibly generate height differences when the adhesive is released by the multi-nozzle at different angles, so that the surface quality of a formed workpiece is uneven, the size is inaccurate, the structural strength is reduced, how to further improve the multi-nozzle calibration control system of the 3D printer, so that the reason of nozzle offset can be analyzed on the basis of positioning calibration of the multi-nozzle, meanwhile, the quality of the adhesive sprayed on the powder layer can be detected, the multi-nozzle can be subjected to secondary calibration control, the height difference effect is reduced, and the quality of the formed workpiece is in the direction which needs improvement.
Disclosure of Invention
The invention aims to provide a powder material 3D printing multi-nozzle fusion control system so as to solve the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions: a powder material 3D printing multi-jet fusion control system, comprising:
and the acquisition module is used for: the system comprises a processing module, a spray head driving system state data PTqd, a powder layer upper adhesive layer distribution image data NHJFb, a spray head state data PTZt, a spray head driving system state data PTQd, a powder layer upper adhesive layer distribution image data NHJFb, a spray head driving system state data PTQd and a powder layer upper adhesive layer distribution image data NHJFb, wherein the processing module is used for acquiring multi-spray-head offset data PTPy and spray head state data PTZt of each spray head;
the processing module is used for: the system is used for receiving the multi-nozzle offset data PTPy, the nozzle state data PTZt and the nozzle driving system state data PTqd, analyzing the multi-nozzle offset data PTPy, the nozzle state data PTZt and the nozzle driving system state data PTQd to generate an offset reason analysis index FXZs, and analyzing and judging the nozzle offset reason by the multi-nozzle offset data PTPy, the nozzle state data PTZt and the nozzle driving system state data PTQd and the first comparison threshold A;
receiving the adhesive layer distribution image data NHJFb and analyzing to generate an adhesive quality monitoring index NHJFc;
and the calibration judging module is used for: and the method is used for judging whether the adhesive quality monitoring index NHJc is within a corresponding second comparison threshold B, and selecting a calibration control mode of the first calibration module or the second calibration module for the multiple spray heads.
Preferably, the multi-head offset data PTPy includes each of a head X-axis offset parameter XPy, a head Y-axis offset parameter YPy, and a head Z-axis offset parameter ZPy, and a multi-head set n= [1, 2 … i … N is set]The dynamic standard time-displacement curves of each spray head corresponding to the X axis, the Y axis and the Z axis are XPy respectively DTb 、YPy DTb And ZPy DTb The multi-nozzle set N= [1, 2 … i … N]The discharge time-displacement value of each nozzle corresponds to XPy DTb 、YPy DTb And ZPy DTb The difference value is calculated to obtain a spray head X-axis offset parameter XPy, a spray head Y-axis offset parameter YPy and a spray head Z-axis offset parameter ZPy, and the specific formulas are as follows:
PTPy＝XPy×a1+YPy×a2+ZPy×a3
wherein the method comprises the steps ofAnd->Respectively multiple nozzle sets n= [1, 2 … i … N]Real-time position values of each spray head on the corresponding X axis, Y axis and Z axis, wherein a1, a2 and a3 are weight values, and a1 is more than 0 and a2 is more than 0 and a3 is more than 2;
the range of values of the multi-head shift data PTPy is set to be limited within the open section (1, 10), and the upper limits of the shift normal values indicating the head X-axis shift parameter XPy, the head Y-axis shift parameter YPy, and the head Z-axis shift parameter ZPy are set to be within the range of values of the open section (1, 10) of the multi-head shift data PTPy.
Preferably, the state data PTQd of the head driving system includes a driving mechanism error parameter QDPy and a mechanical vibration parameter JXZd;
the driving mechanism error parameter QDPy is composed of a stepping motor precision BJDj and a transmission device precision CDZj, the value range of the stepping motor precision BJDj is set to be 1 to 10, the value range of the transmission device precision CDZj is set to be 1 to 10, the larger the numerical value is, the higher the corresponding precision is, the worse the precision is, and the following formula is obtained by analysis and processing:
QDPy＝BJDj×b1+CDZj×b2
wherein b1 and b2 are weight values, b1 is more than 0 and b2 is more than 2;
the mechanical vibration parameter JXZd obtains vibration frequency, amplitude, harmonic analysis and peak acceleration of the spray head mounting seat side through the vibration sensor, the upper limit of the threshold value of the mechanical vibration parameter JXZd is set to be 1-10, the larger the numerical value is, the more obvious the vibration strength is, if the numerical value is 1, the vibration influence is ignored, and if the numerical value is 10, the vibration seriously influences the spray head mounting precision, so that the mechanical vibration parameter JXZd is used for the calibration of the first calibration module.
Preferably, the nozzle state data PTZt includes a nozzle wear parameter PTMs, a nozzle cleanliness parameter PTQjj, a nozzle flow parameter PTLl and a nozzle pressure parameter PTYl;
the wear degree parameter PTMS of the spray nozzle represents the caliber wear degree and the service life value of the spray nozzle, specifically, the wear is estimated by measuring the roughness of the inner surface of the spray nozzle, the wear degree is set to be 1-10, and the larger the numerical value is, the larger the wear degree is;
the spray head flow parameter PTLl includes a spray head flow rate LLv and a flow uniformity JYx,
spray head flow rate LLv: representing the volume of material ejected per minute or per second, related to the printing speed and the type of material;
flow uniformity JYx: indicating whether the material flow is uniform during printing, which may be indicated using a flow profile or uniformity index; and analyzing to obtain the following formula:
PTLl＝LLv×c1+JYx×c2
wherein c1 and c2 are weight values, c1 is more than 0 and less than c2, when the flow uniformity JYx is abnormal, the output value is 0, which indicates that the material flows unevenly, and when the flow uniformity JYx is normal, the output value is a positive number;
the spray head pressure parameter PTYI comprises spray head pressure data reading and pressure change rate, wherein the pressure change rate represents the change rate of the pressure in the spray head in the printing process and is used for judging whether the adhesive is released abnormally, meanwhile, the output value of the spray head pressure parameter PTYI is mapped in a value range of 1 to 10 after normalized analysis, the closer the value range is to 5, the pressure change tends to be stable, when the value range is larger than the value of 5, the more the pressure value change is represented, the spray head needs to be adjusted, and when the value range is smaller than the value of 5, the more the pressure value is represented as a decompression state, and the pressure of an outlet of the spray head needs to be regulated;
the head state data PTZt is formulated to obtain the following relational expression:
PTZt＝PTMs×d1+PTQj×d2+PTLl×d3+PTYl×d4
wherein d1, d2, d3 and d4 are weight values, d1 is more than 0 and d2 is more than 3 and d4, and PTZt is more than 1 and less than 10.
Preferably, the adhesive layer distribution image data NHJFb includes an adhesive edge accuracy parameter BYJd and an adhesive layer distribution uniformity parameter FBJy; the adhesive edge accuracy parameter BYJd is composed of an adhesive offset value NHJPy and an adhesive offset value NHJPj,
adhesive offset: for indicating the offset between the actual adhesive line and the intended adhesive line, expressed in millimeters or micrometers, for measuring whether the adhesive is accurately deposited at the desired location;
adhesive bias angle: representing the angular difference between the actual direction and the ideal direction of the adhesive line, the angle is typically expressed in degrees;
and carrying out formulation processing to obtain the following formula:
BYJd＝NHJPy×e1+NHJPj×e2
wherein e1 and e2 are weight values, 0 < e1 < e2, and the comparison threshold value of the adhesive edge precision parameter BYJd is set asFor the range value, when the adhesive edge accuracy parameter BYJd is +.>Within the range, it is indicated that the adhesive edge meets the accuracy requirement, at a threshold value +.>When the range is out, the adhesive edge precision is not satisfactory;
the adhesive layer distribution uniformity parameter FBJy consists of a coating uniformity index TFJy and a coating material concentration gradient TFTd;
coating uniformity index TFJy: values are used to represent the degree of uniform distribution of the adhesive, image acquisition by high speed camera and image analysis of the coating uniformity, expressed in terms of percent or other standardized units, where 100% represents a completely uniform coating;
coating material concentration gradient TFTd: the degree of change of the adhesive concentration in the coating area is measured, and the smaller the gradient is, the more uniform the coating is;
the coating uniformity index TFJy is set to a value of 0 to 1, where 1 indicates completely uniform, 0 indicates completely non-uniform, and the following formula is obtained:
FBJy＝(1-TFJy)×(1-TFTd)
when the coating uniformity index TFJy and the coating material concentration gradient TFTd are both close to 1, the adhesive layer distribution uniformity parameter will also be close to 1, indicating a very uniform coating, and when one or both of the indices are reduced, the adhesive layer distribution uniformity parameter will decrease, reflecting coating non-uniformity.
Preferably, the calculation formula of the offset cause analysis index FXZs is as follows:
the value range of the offset cause analysis index FXZs is-1, and the first comparison threshold A is a range value subset within the offset cause analysis index FXZs;
when the actual value of the offset cause analysis index FXZs is less than or equal to minus 1 and less than FXZs is less than A, the value range of PTPy of any one or more spray heads in the spray head set N= [1, 2 and 3 … N ] is outside the open interval (1, 10), and at the moment, the real-time position value of any one or more of the X axis, the Y axis and the Z axis of the corresponding spray head is in an abnormal offset state;
when the actual value of the offset cause analysis index FXZs is in the first comparison threshold value a, the state data PTQd of the nozzle driving system of any one or more nozzles in the nozzle set n= [1, 2, 3 … N ] is outside the value range 1 to 10, and at this time, any one or more numerical values of the stepping motor precision BJDj, the transmission device precision CDZj and the mechanical vibration parameter JXZd of the corresponding nozzle are in an abnormal state;
when the actual value of the offset cause analysis index FXZs is equal to or less than FXZs < 1, the nozzle state data PTZt of any one or more nozzles in the nozzle set n= [1, 2, 3 … N ] is outside the value range of 1 to 10, and any one or more values in the nozzle wear degree parameter PTMs, the nozzle cleanliness parameter PTQj, the nozzle flow rate parameter PTLl, and the nozzle pressure parameter PTYl are represented as abnormal states.
Preferably, the first calibration module: the first calibration module only receives data of the multi-nozzle offset data PTPy, the nozzle state data PTZt and the nozzle driving system state data PTQd, and performs analysis processing and then calibrates the multi-nozzle;
and a second calibration module: the second calibration module receives the adhesive layer distribution image data NHJFb on the basis of the first calibration module, performs analysis processing, fine-adjusts the first calibration module, and accurately calibrates the multiple spray heads;
the calculation formula of the adhesive quality monitoring index NHJc is as follows:
setting the value range of NHJc to be more than or equal to 0 and less than or equal to FXZs and less than or equal to 1, wherein the second comparison threshold B is a range value subset in the value range of NHJc;
when the value of NHJc falls within the second comparison threshold B, the values of the adhesive edge precision parameter BYJd and the adhesive layer distribution uniformity parameter FBJy are abnormal, and the second calibration module is required to finely adjust the calibration value of the first calibration module;
when the value of NHJc falls outside the second comparison threshold B, the values of the adhesive edge accuracy parameter BYJd and the adhesive layer distribution uniformity parameter FBJy are in a normal state, and the calibration value of the first calibration module is determined.
Compared with the prior art, the invention has the beneficial effects that: the reasons of the spray head deviation, the spray head driving system and the spray head state are analyzed by comparing the value range of the deviation reason analysis index FXZs with the first comparison threshold A, meanwhile, the adhesive quality monitoring index NHJc is analyzed with the second comparison threshold B, whether the second calibration module is required to finely adjust the calibration value of the first calibration module is judged, the height difference effect is reduced, and the quality of the formed workpiece is improved.
Drawings
FIG. 1 is a schematic flow chart of the present invention;
FIG. 2 is a schematic flow chart of the system 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 accompanying drawings in the embodiments of the present invention.
Referring to fig. 1-2, the present invention provides a technical solution:
embodiment one:
powder material 3D prints many shower nozzles and fuses control system includes:
and the acquisition module is used for: the system comprises a processing module, a spray head driving system state data PTQd, a powder layer upper adhesive layer distribution image data NHJFb, a spray head driving system state data PTQd, a spray head state data PTZt, a spray head driving system state data PTQd and a powder layer upper adhesive layer distribution image data NHJFb, wherein the processing module is used for acquiring the multi-spray head offset data PTPy and the spray head state data PTZt;
the processing module is used for: the method comprises the steps of receiving multi-nozzle offset data PTPy, nozzle state data PTZt and nozzle driving system state data PTQd, analyzing the multi-nozzle offset data PTPy, the nozzle state data PTZt and the nozzle driving system state data PTQd to generate an offset reason analysis index FXZs, and analyzing and judging the nozzle offset reason by the multi-nozzle offset data PTPy, the nozzle state data PTZt and the nozzle driving system state data PTQd and a first comparison threshold A;
receiving adhesive layer distribution image data NHJFb and analyzing to generate an adhesive quality monitoring index NHJF;
and the calibration judging module is used for: and the method is used for judging whether the adhesive quality monitoring index NHJc is within a corresponding second comparison threshold B, and selecting a calibration control mode of the first calibration module or the second calibration module for the multiple spray heads.
Embodiment two:
the multi-head offset data PTPy includes a head X-axis offset parameter XPy, a head Y-axis offset parameter YPy, and a head Z-axis offset parameter ZPy, and sets a multi-head set n= [1, 2 … i … N]The dynamic standard time-displacement curves of each spray head corresponding to the X axis, the Y axis and the Z axis are XPy respectively DTb 、YPy DTb And ZPy DTb The multi-nozzle set N= [1, 2 … i … N]Each nozzle of (a)Discharge time-displacement value corresponds to XPy DTb 、YPy DTb And ZPy DTb The difference value is calculated to obtain a spray head X-axis offset parameter XPy, a spray head Y-axis offset parameter YPy and a spray head Z-axis offset parameter ZPy, and the specific formulas are as follows:
PTPy＝XPy×a1+YPy×a2+ZPy×a3
wherein the method comprises the steps ofAnd->Respectively multiple nozzle sets n= [1, 2 … i … N]Real-time position values of each spray head on the corresponding X axis, Y axis and Z axis, wherein a1, a2 and a3 are weight values, and a1 is more than 0 and a2 is more than 0 and a3 is more than 2;
the range of values of the multi-head shift data PTPy is set to be limited within the open section (1, 10), and the upper limits of the shift normal values indicating the head X-axis shift parameter XPy, the head Y-axis shift parameter YPy, and the head Z-axis shift parameter ZPy are set to be within the range of values of the open section (1, 10) of the multi-head shift data PTPy.
Embodiment III:
the head drive system state data PTQd includes a drive mechanism error parameter QDPy and a mechanical vibration parameter JXZd;
the driving mechanism error parameter QDPy is composed of a stepping motor precision BJDj and a transmission device precision CDZj, the value range of the stepping motor precision BJDj is set to be 1 to 10, the value range of the transmission device precision CDZj is set to be 1 to 10, the larger the value is, the higher the corresponding precision is, the worse the precision is, and the following formula is obtained by analysis processing:
QDPy＝BJDj×b1+CDZj×b2
wherein b1 and b2 are weight values, b1 is more than 0 and b2 is more than 2;
the stepper motor accuracy BJDj and resolution are critical to the accuracy of the calibration, which can lead to deviations in the position of the showerhead if the stepper motor is not high-accuracy or not properly calibrated.
The accuracy of the position of the spray head is affected by the accuracy of the actuators CDZj, such as rails, screws, belts, etc., and wear or loosening of these devices can lead to positioning errors.
The mechanical vibration parameter JXZd obtains vibration frequency, amplitude, harmonic analysis and peak acceleration of the spray head mounting seat side through a vibration sensor, and the upper limit of the threshold value of the mechanical vibration parameter JXZd is set to be 1-10, the larger the numerical value is, the more obvious the vibration strength is, if the value is 1, the vibration influence is ignored, and if the value is 10, the vibration seriously influences the spray head mounting precision, so that the mechanical vibration parameter JXZd is used for the calibration of the first calibration module;
frequency: the sensor is able to detect the frequency of the mechanical vibrations and thereby determine whether a specific resonance frequency exists.
Amplitude value: the sensor may measure the amplitude of the vibration, which helps to assess the intensity of the vibration.
Harmonic analysis: advanced vibration analysis tools can perform harmonic analysis on data acquired from the sensors to determine different frequency components of the vibration.
Peak acceleration: some vibration sensors, such as accelerometers, can directly measure peak acceleration, which represents the maximum acceleration value of the vibration.
Embodiment four:
the nozzle state data PTZt includes a nozzle wear parameter PTMS, a nozzle cleanliness parameter PTQj, a nozzle flow parameter PTLl, and a nozzle pressure parameter PTYIl;
the wear degree parameter PTMS of the spray nozzle represents the caliber wear degree and the service life value of the spray nozzle, specifically, the wear is estimated by measuring the roughness of the inner surface of the spray nozzle, the value range of the wear degree is set to be 1-10, and the larger the numerical value is, the larger the wear degree is; when the abrasion degree is 1, no abrasion is indicated, and when the abrasion degree is 10, the abrasion of the spray head is larger, and the spray head needs to be replaced;
diameter variation of the spray head: the change in the inside diameter or outlet diameter of the spray head over time is measured, with a larger change indicating that the spray head has worn.
Service life is as follows: the nozzle is required to be replaced beyond a certain service life, expressed in terms of the printing time of the nozzle or the consumption of printing material.
Surface roughness: wear was assessed by measuring the roughness of the interior surface of the spray head.
The method comprises the steps that the nozzle cleanliness parameter PTQj detects the blocking degree of impurities or foreign matters on the surface of a nozzle through an optical sensor or image analysis, the blocking degree is 1-10, the larger the value is, the more along the blocking is, when the blocking degree is 1, the nozzle is free of blocking, and when the blocking degree is 10, the nozzle outlet is completely blocked, and the release of adhesive is affected;
the spray head flow parameter PTLl includes a spray head flow rate LLv and a flow uniformity JYx,
spray head flow rate LLv: indicating the volume of material ejected per minute or per second, is related to the printing speed and the type of material.
Flow uniformity JYx: indicating whether the material flow is uniform during printing, which may be indicated using a flow profile or uniformity index; and analyzing to obtain the following formula:
PTLl＝LLv×c1+JYx×c2
wherein c1 and c2 are weight values, c1 is more than 0 and less than c2, when the flow uniformity JYx is abnormal, the output value is 0, which indicates that the material flows unevenly, and when the flow uniformity JYx is normal, the output value is a positive number;
the spray head pressure parameter PTYI comprises spray head pressure data reading and pressure change rate, wherein the pressure change rate represents the change rate of the pressure in the spray head in the printing process and is used for judging whether the adhesive is released abnormally, meanwhile, the output value of the spray head pressure parameter PTYI is mapped in a value range of 1 to 10 after normalized analysis, the closer the value range is to 5, the pressure change tends to be stable, when the value range is larger than the value of 5, the more the pressure value change is represented, the spray head needs to be adjusted, and when the value range is smaller than the value of 5, the more the pressure is represented as a decompression state, and the pressure of an outlet of the spray head needs to be regulated;
the head state data PTZt is formulated to obtain the following relational expression:
PTZt＝PTMs×d1+PTQj×d2+PTLl×d3+PTYl×d4
wherein d1, d2, d3 and d4 are weight values, d1 is more than 0 and d2 is more than 2 and d3 is more than 4, and PTZt is more than 1 and less than 10;
fifth embodiment:
the adhesive layer distribution image data NHJFb includes an adhesive edge accuracy parameter BYJd and an adhesive layer distribution uniformity parameter FBJy;
the adhesive edge accuracy parameter BYJd is composed of an adhesive offset value NHJPy and an adhesive offset value NHJPj,
adhesive offset: for indicating the offset between the actual adhesive line and the intended adhesive line, expressed in millimeters or micrometers, for measuring whether the adhesive is accurately deposited at the desired location;
adhesive bias angle: representing the angular difference between the actual direction and the ideal direction of the adhesive line, the angle is typically expressed in degrees;
and carrying out formulation processing to obtain the following formula:
BYJd＝NHJPy×e1+NHJPj×e2
wherein e1 and e2 are weight values, 0 < e1 < e2, and the comparison threshold value of the adhesive edge precision parameter BYJd is set as For the range value, when the adhesive edge accuracy parameter BYJd is +.>Within the range, it is indicated that the adhesive edge meets the accuracy requirement, at a threshold value +.>When the range is out, the adhesive edge precision is not satisfactory;
the adhesive layer distribution uniformity parameter FBJy is composed of a coating uniformity index TFJy and a coating material concentration gradient TFTd;
coating uniformity index TFJy: values are used to represent the degree of uniform distribution of the adhesive, the coating uniformity is expressed in terms of a percentage or other standardized unit where 100% represents a completely uniform coating by capturing an image with a high speed camera and performing image analysis.
Coating material concentration gradient TFTd: the degree of change of the adhesive concentration in the coating area is measured, and the smaller the gradient is, the more uniform the coating is;
the coating uniformity index TFJy is set to a value of 0 to 1, where 1 indicates completely uniform, 0 indicates completely non-uniform, and the following formula is obtained:
FBJy＝(1-TFJy)×(1-TFTd)
when the coating uniformity index TFJy and the coating material concentration gradient TFTd are both close to 1, the adhesive layer distribution uniformity parameter will also be close to 1, indicating a very uniform coating, and when one or both of the indices are reduced, the adhesive layer distribution uniformity parameter will decrease, reflecting coating non-uniformity.
Example six:
the calculation formula of the offset cause analysis index FXZs is as follows:
the value range of the offset cause analysis index FXZs is-1, the value range of the offset cause analysis index FXZs is-1, and the first comparison threshold A is a range value subset within the offset cause analysis index FXZs;
when the actual value of the offset cause analysis index FXZs is less than or equal to minus 1 and less than FXZs is less than A, the value range of PTPy of any one or more spray heads in the spray head set N= [1, 2 and 3 … N ] is outside the open interval (1, 10), and at the moment, the real-time position value of any one or more of the X axis, the Y axis and the Z axis of the corresponding spray head is in an abnormal offset state;
when the actual value of the offset cause analysis index FXZs is in the first comparison threshold value a, the state data PTQd of the nozzle driving system of any one or more nozzles in the nozzle set n= [1, 2, 3 … N ] is outside the value range 1 to 10, and at this time, any one or more numerical values of the stepping motor precision BJDj, the transmission device precision CDZj and the mechanical vibration parameter JXZd of the corresponding nozzle are in an abnormal state;
when the actual value of the offset cause analysis index FXZs is equal to or less than FXZs < 1, the nozzle state data PTZt of any one or more nozzles in the nozzle set n= [1, 2, 3 … N ] is outside the value range of 1 to 10, and any one or more values in the nozzle wear degree parameter PTMs, the nozzle cleanliness parameter PTQj, the nozzle flow rate parameter PTLl, and the nozzle pressure parameter PTYl are represented as abnormal states.
Embodiment seven:
a first calibration module: the first calibration module only receives data of the multi-nozzle offset data PTPy, the nozzle state data PTZt and the nozzle driving system state data PTQd, and performs analysis processing and then calibrates the multi-nozzle;
and a second calibration module: the second calibration module receives the adhesive layer distribution image data NHJFb on the basis of the first calibration module, performs analysis processing, fine-adjusts the first calibration module, and accurately calibrates the multiple spray heads;
a first calibration module step:
calibrating the position of a spray head: this part involves ensuring that the position and location of each adhesive spray head is accurate. This typically involves mechanical calibration to ensure that the individual jets are in the correct position and that their relative positions are consistent. This involves precise mechanical adjustment or the use of sensors to monitor and adjust the position of the spray head.
Calibrating the flow rate of the spray head: the multiple spray head system needs to ensure that the adhesive flow rate released by each spray head is consistent to avoid uneven application. This may require calibrating the flow rate of each spray head or adjusting flow control parameters to ensure that they evenly spray the adhesive.
And (3) synchronizing the time of the spray heads: to ensure consistent operation of the different spray heads, the spray head calibration module typically involves time synchronization of the spray heads. This ensures that multiple spray heads release the adhesive at the proper time to create a uniform coating.
Binder type and concentration adjustment: different print jobs may require different types or concentrations of adhesive. The spray head calibration module may include a parameter setting interface to enable an operator to select the appropriate adhesive type and concentration to meet specific printing requirements.
Real-time monitoring and feedback control: the calibration module typically includes real-time monitoring functionality to detect inconsistencies or problems and feedback control if necessary, e.g., automatically adjusting the spray head position or flow to correct any deviations.
A second calibration module step:
selecting a reference spray head:
first, an adhesive nozzle is selected as a reference. Typically a well calibrated spray head, or a spray head that may be initially calibrated in advance.
Creating a calibration sample:
all multiple heads are used to release the adhesive while adhesive release is performed over a relatively small area. This will create a sample containing multiple spray heads releasing adhesive.
Printing edge marks:
the adhesive is released at the edge area of the adhesive sample creating a kind of mark or edge line for subsequent detection.
Print adhesive uniformity area:
the adhesive is released in the central region of the adhesive sample to create a uniform area. This will be used to check the uniformity of the adhesive.
Printing a detection pattern:
using the reference spray head and other spray heads, a test pattern or design is printed that includes specific structures, such as lines or grids, that can be used to evaluate adhesive distribution and uniformity.
Scanning or photographing an image:
using vision or sensing techniques, the entire printed sample is scanned or photographed, including the edges of the marks, the uniform areas, and the detection patterns.
Image processing and analysis:
the obtained image is processed and analyzed to evaluate the edge and uniformity of the adhesive, requiring edge detection algorithms related to the prior art to detect edge lines, and density analysis to evaluate uniformity.
Adjusting calibration parameters:
and adjusting the calibration parameters of the multiple spray heads according to the image analysis result. This includes adjusting parameters such as adhesive flow, spray head position, time synchronization, etc. to improve adhesive distribution and uniformity.
Recalibration:
the above steps are repeated until the desired binder distribution and uniformity criteria are met.
The calculation formula of the adhesive quality monitoring index NHJc is as follows:
setting the value range of NHJc to be more than or equal to 0 and less than or equal to FXZs and less than or equal to 1, wherein the second comparison threshold B is a range value subset in the value range of NHJc;
when the value of NHJc falls within the second comparison threshold B, the values of the adhesive edge precision parameter BYJd and the adhesive layer distribution uniformity parameter FBJy are abnormal, and the second calibration module is required to finely adjust the calibration value of the first calibration module;
when the value of NHJc falls outside the second comparison threshold B, the values of the adhesive edge accuracy parameter BYJd and the adhesive layer distribution uniformity parameter FBJy are in a normal state, and the calibration value of the first calibration module is determined.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions described in accordance with the embodiments of the present application are all or partially produced. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more sets of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
In the several embodiments provided in this application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is merely a channel underwater topography change analysis system and method logic function division, and other divisions may be implemented in practice, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a random access memory (random access memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Finally, it should be noted that: the foregoing description is only illustrative of the preferred embodiments of the present invention, and although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments described, or equivalents may be substituted for elements thereof, and any modifications, equivalents, improvements or changes may be made without departing from the spirit and principles of the present invention.
Claims (7)
1. A powder material 3D printing multi-jet fusion control system, comprising:
and the acquisition module is used for: the system comprises a processing module, a spray head driving system state data PTQd, a powder layer upper adhesive layer distribution image data NHJFb, a spray head driving system state data PTQd, a spray head state data PTZt, a spray head driving system state data PTQd and a powder layer upper adhesive layer distribution image data NHJFb, wherein the processing module is used for acquiring the multi-spray head offset data PTPy and the spray head state data PTZt;
the processing module is used for: the system is used for receiving the multi-nozzle offset data PTPy, the nozzle state data PTZt and the nozzle driving system state data PTqd, analyzing the multi-nozzle offset data PTPy, the nozzle state data PTZt and the nozzle driving system state data PTQd to generate an offset reason analysis index FXZs, and analyzing and judging the nozzle offset reason by the multi-nozzle offset data PTPy, the nozzle state data PTZt and the nozzle driving system state data PTQd and the first comparison threshold A;
receiving the adhesive layer distribution image data NHJFb and analyzing to generate an adhesive quality monitoring index NHJFc;
and the calibration judging module is used for: and the method is used for judging whether the adhesive quality monitoring index NHJc is within a corresponding second comparison threshold B, and selecting a calibration control mode of the first calibration module or the second calibration module for the multiple spray heads.
2. The powder material 3D printing multi-jet fusion control system of claim 1, wherein: the multi-nozzle offset data PTPy includes each nozzle X-axis offset parameter XPy, nozzle Y-axis offset parameter YPy, and nozzle Z-axis offset parameter ZPy, and sets a plurality of nozzles on the 3D printer to form a multi-nozzle set n= [1, 2 … i … N]And the multi-nozzle set n= [1, 2 … i … N]Each spray head corresponds to an X axis, a Y axis and a Z axisDynamic standard time-displacement curves of XPy respectively DTb 、YPy DTb And ZPy DTb The multi-nozzle set N= [1, 2 … i … N]The discharge time-displacement value of each nozzle corresponds to XPy DTb 、YPy DTb And ZPy DTb The difference value is calculated to obtain a spray head X-axis offset parameter XPy, a spray head Y-axis offset parameter YPy and a spray head Z-axis offset parameter ZPy, and the specific formulas are as follows:
PTPy＝XPy×a1+YPy×a2+ZPy×a3
wherein the method comprises the steps ofAnd->Respectively multiple nozzle sets n= [1, 2 … i … N]Real-time position values of each spray head on the corresponding X axis, Y axis and Z axis, wherein a1, a2 and a3 are weight values, and a1 is more than 0 and a2 is more than 0 and a3 is more than 2;
the range of values of the multi-head shift data PTPy is set to be limited within the open section (1, 10), and the upper limits of the shift normal values indicating the head X-axis shift parameter XPy, the head Y-axis shift parameter YPy, and the head Z-axis shift parameter ZPy are set to be within the range of values of the open section (1, 10) of the multi-head shift data PTPy.
3. The powder material 3D printing multi-jet fusion control system of claim 1, wherein: the state data PTQd of the spray head driving system comprises a driving mechanism error parameter QDPy and a mechanical vibration parameter JXZd;
the driving mechanism error parameter QDPy is composed of a stepping motor precision BJDj and a transmission device precision CDZj, the value range of the stepping motor precision BJDj is set to be 1 to 10, the value range of the transmission device precision CDZj is set to be 1 to 10, the larger the numerical value is, the higher the corresponding precision is, the worse the precision is, and the following formula is obtained by analysis and processing:
QDPy＝BJDj×b1+CDZj×b2
wherein b1 and b2 are weight values, b1 is more than 0 and b2 is more than 2;
the mechanical vibration parameter JXZd obtains vibration frequency, amplitude, harmonic analysis and peak acceleration of the spray head mounting seat side through the vibration sensor, the upper limit of the threshold value of the mechanical vibration parameter JXZd is set to be 1-10, the larger the numerical value is, the more obvious the vibration strength is, if the numerical value is 1, the vibration influence is ignored, and if the numerical value is 10, the vibration seriously influences the spray head mounting precision, so that the mechanical vibration parameter JXZd is used for the calibration of the first calibration module.
4. The powder material 3D printing multi-jet fusion control system of claim 1, wherein: the spray head state data PTZt comprises a spray head abrasion degree parameter PTMS, a spray head cleanliness parameter PTQj, a spray head flow parameter PTLl and a spray head pressure parameter PTYIl;
the wear degree parameter PTMS of the spray nozzle represents the caliber wear degree and the service life value of the spray nozzle, specifically, the wear is estimated by measuring the roughness of the inner surface of the spray nozzle, the wear degree is set to be 1-10, and the larger the numerical value is, the larger the wear degree is;
the spray head flow parameter PTLl includes a spray head flow rate LLv and a flow uniformity JYx,
spray head flow rate LLv: representing the volume of material ejected per minute or per second, related to the printing speed and the type of material;
flow uniformity JYx: indicating whether the material flow is uniform during printing, which may be indicated using a flow profile or uniformity index;
and analyzing to obtain the following formula:
PTL1＝LLv×c1+JYx×c2
wherein c1 and c2 are weight values, c1 is more than 0 and less than c2, when the flow uniformity JYx is abnormal, the output value is 0, which indicates that the material flows unevenly, and when the flow uniformity JYx is normal, the output value is a positive number;
the spray head pressure parameter PTYI comprises spray head pressure data reading and pressure change rate, wherein the pressure change rate represents the change rate of the pressure in the spray head in the printing process and is used for judging whether the adhesive is released abnormally, meanwhile, the output value of the spray head pressure parameter PTYI is mapped in a value range of 1 to 10 after normalized analysis, the closer the value range is to 5, the pressure change tends to be stable, when the value range is larger than the value of 5, the more the pressure value change is represented, the spray head needs to be adjusted, and when the value range is smaller than the value of 5, the more the pressure value is represented as a decompression state, and the pressure of an outlet of the spray head needs to be regulated;
the head state data PTZt is formulated to obtain the following relational expression:
PTZt＝PTMs×d1+PTQj×d2+PTLl×d3+PTYl×d4
wherein d1, d2, d3 and d4 are weight values, d1 is more than 0 and d2 is more than 3 and d4, and PTZt is more than 1 and less than 10.
5. The powder material 3D printing multi-jet fusion control system of claim 1, wherein: the adhesive layer distribution image data NHJFb includes an adhesive edge accuracy parameter BYJd and an adhesive layer distribution uniformity parameter FBJy; the adhesive edge accuracy parameter BYJd is composed of an adhesive offset value NHJPy and an adhesive offset value NHJPj,
adhesive offset: for indicating the offset between the actual adhesive line and the intended adhesive line, expressed in millimeters or micrometers, for measuring whether the adhesive is accurately deposited at the desired location;
adhesive bias angle: representing the angular difference between the actual direction and the ideal direction of the adhesive line, the angle is typically expressed in degrees;
and carrying out formulation processing to obtain the following formula:
BYJd＝NHJPy×e1+NHJPj×e2
wherein e1 and e2 are weight values, 0 < e1 < e2, and the comparison threshold value of the adhesive edge precision parameter BYJd is set asFor the range value, when the adhesive edge accuracy parameter BYJd is +.>Within the range, it is indicated that the adhesive edge meets the accuracy requirement, at a threshold value +.>When the range is out, the adhesive edge precision is not satisfactory;
the adhesive layer distribution uniformity parameter FBJy consists of a coating uniformity index TFJy and a coating material concentration gradient TFTd;
coating uniformity index TFJy: values are used to represent the degree of uniform distribution of the adhesive, image acquisition by high speed camera and image analysis of the coating uniformity, expressed in terms of percent or other standardized units, where 100% represents a completely uniform coating;
coating material concentration gradient TFTd: the degree of change of the adhesive concentration in the coating area is measured, and the smaller the gradient is, the more uniform the coating is;
the coating uniformity index TFJy is set to a value of 0 to 1, where 1 indicates completely uniform, 0 indicates completely non-uniform, and the following formula is obtained:
FBJy＝(1-TFJy)×(1-TFTd)
when the coating uniformity index TFJy and the coating material concentration gradient TFTd are both close to 1, the adhesive layer distribution uniformity parameter will also be close to 1, indicating a very uniform coating, and when one or both of the indices are reduced, the adhesive layer distribution uniformity parameter will decrease, reflecting coating non-uniformity.
6. The powder material 3D printing multi-jet fusion control system of claim 1, wherein: the calculation formula of the offset cause analysis index FXZs is as follows:
the value range of the offset cause analysis index FXZs is-1, and the first comparison threshold A is a range value subset within the offset cause analysis index FXZs;
when the actual value of the offset cause analysis index FXZs is less than or equal to minus 1 and less than FXZs is less than A, the value range of PTPy of any one or more spray heads in the spray head set N= [1, 2 and 3 … N ] is outside the open interval (1, 10), and at the moment, the real-time position value of any one or more of the X axis, the Y axis and the Z axis of the corresponding spray head is in an abnormal offset state;
when the actual value of the offset cause analysis index FXZs is in the first comparison threshold value a, the state data PTQd of the nozzle driving system of any one or more nozzles in the nozzle set n= [1, 2, 3 … N ] is outside the value range 1 to 10, and at this time, any one or more numerical values of the stepping motor precision BJDj, the transmission device precision CDZj and the mechanical vibration parameter JXZd of the corresponding nozzle are in an abnormal state;
when the actual value of the offset cause analysis index FXZs is equal to or less than FXZs < 1, the nozzle state data PTZt of any one or more nozzles in the nozzle set n= [1, 2, 3 … N ] is outside the value range of 1 to 10, and any one or more values in the nozzle wear degree parameter PTMs, the nozzle cleanliness parameter PTQj, the nozzle flow rate parameter PTLl, and the nozzle pressure parameter PTYl are represented as abnormal states.
7. The powder material 3D printing multi-jet fusion control system of claim 1, wherein: the first calibration module:
the first calibration module only receives data of the multi-nozzle offset data PTPy, the nozzle state data PTZt and the nozzle driving system state data PTQd, and performs analysis processing and then calibrates the multi-nozzle;
and a second calibration module: the second calibration module receives the adhesive layer distribution image data NHJFb on the basis of the first calibration module, performs analysis processing, fine-adjusts the first calibration module, and accurately calibrates the multiple spray heads;
the calculation formula of the adhesive quality monitoring index NHJc is as follows:
setting the value range of NHJc to be more than or equal to 0 and less than or equal to FXZs and less than or equal to 1, wherein the second comparison threshold B is a range value subset in the value range of NHJc;
when the value of NHJc falls within the second comparison threshold B, the values of the adhesive edge precision parameter BYJd and the adhesive layer distribution uniformity parameter FBJy are abnormal, and the second calibration module is required to finely adjust the calibration value of the first calibration module;
when the value of NHJc falls outside the second comparison threshold B, the values of the adhesive edge accuracy parameter BYJd and the adhesive layer distribution uniformity parameter FBJy are in a normal state, and the calibration value of the first calibration module is determined.
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