CN112131825A - Expansion and shrinkage prediction method, device, equipment and storage medium for copper plugging process FPC - Google Patents
Expansion and shrinkage prediction method, device, equipment and storage medium for copper plugging process FPC Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 65
- RYGMFSIKBFXOCR-UHFFFAOYSA-N Copper Chemical compound [Cu] RYGMFSIKBFXOCR-UHFFFAOYSA-N 0.000 title claims abstract description 48
- 229910052802 copper Inorganic materials 0.000 title claims abstract description 48
- 239000010949 copper Substances 0.000 title claims abstract description 48
- 230000008569 process Effects 0.000 title claims abstract description 29
- 238000003860 storage Methods 0.000 title claims abstract description 12
- 238000013461 design Methods 0.000 claims abstract description 85
- 239000000463 material Substances 0.000 claims abstract description 74
- 230000008602 contraction Effects 0.000 claims abstract description 49
- 238000009826 distribution Methods 0.000 claims description 18
- 238000005530 etching Methods 0.000 claims description 13
- 238000012545 processing Methods 0.000 claims description 13
- 238000013112 stability test Methods 0.000 claims description 9
- 238000011161 development Methods 0.000 claims description 7
- 238000004519 manufacturing process Methods 0.000 abstract description 13
- 238000012797 qualification Methods 0.000 abstract description 2
- 239000010410 layer Substances 0.000 description 17
- 229920000139 polyethylene terephthalate Polymers 0.000 description 15
- 238000010586 diagram Methods 0.000 description 6
- 229920002799 BoPET Polymers 0.000 description 3
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000005553 drilling Methods 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 239000011229 interlayer Substances 0.000 description 2
- 238000003825 pressing Methods 0.000 description 2
- 238000007639 printing Methods 0.000 description 2
- 230000008961 swelling Effects 0.000 description 2
- 239000004642 Polyimide Substances 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000005452 bending Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000009713 electroplating Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000005429 filling process Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000003475 lamination Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 229920006267 polyester film Polymers 0.000 description 1
- 229920001721 polyimide Polymers 0.000 description 1
- 239000011148 porous material Substances 0.000 description 1
- 230000000246 remedial effect Effects 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 230000008685 targeting Effects 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/30—Circuit design
- G06F30/39—Circuit design at the physical level
- G06F30/398—Design verification or optimisation, e.g. using design rule check [DRC], layout versus schematics [LVS] or finite element methods [FEM]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- G06F16/903—Querying
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2115/00—Details relating to the type of the circuit
- G06F2115/12—Printed circuit boards [PCB] or multi-chip modules [MCM]
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Abstract
The invention relates to the technical field of FPC (flexible printed circuit) manufacturing, and particularly provides a method, a device, equipment and a storage medium for predicting expansion and shrinkage of an FPC (flexible printed circuit) in a copper plugging process. The harmomegathus prediction method comprises the following steps: acquiring design information, material information and station information of the FPC to be processed; comparing the design information, the material information and the work station information with the collapsible information database to obtain a comparison result; and when the comparison result is that data similar to the design information, the material information and the work station information exist in the expansion and contraction information database, acquiring corresponding historical expansion and contraction values in the expansion and contraction information database, and determining the historical expansion and contraction values as expansion and contraction prediction results. Through the mode, the production process can be simplified, the production efficiency is improved, and the one-time qualification rate of products is effectively improved.
Description
[ technical field ] A method for producing a semiconductor device
The invention relates to the technical field of FPC (flexible printed circuit) processing, in particular to a method, a device, equipment and a storage medium for predicting expansion and shrinkage of an FPC (flexible printed circuit) in a copper plugging process.
[ background of the invention ]
The flexible printed circuit board (also called FPC) is a flexible printed circuit board (soft board or FPC) which is made of polyimide or polyester film as a base material and has high reliability and excellent flexibility, has the characteristics of high wiring density, light weight and thin thickness, is commonly used for a bending part of an electronic product and is used as a connection circuit of an electronic module.
Microporation is a key process for realizing higher-density interconnection by realizing interconnection technology of a higher-density circuit board layer and any layer, namely micropore processing between connecting layers. However, with the increase of the number of layers of the FPC, the interlayer interconnection of the traditional electroplating process is difficult to realize due to the high aspect ratio of the FPC, and a novel copper plugging process is produced. The copper filling process leads the conductive copper paste with good processability and conductive effect into the micropores of the circuit board to form a conductive paste plug micropore structure, so that the flexibility of the interconnection design of the holes of the printed circuit board can be improved, and the support is provided for realizing a printed circuit product with complex functions. However, the copper plugging process is to complete circuit etching and drilling first and then to complete interlayer alignment, and the requirement on the alignment precision between the layers is high, so the treatment of the expansion and shrinkage before the lamination between the layers is particularly important.
In the prior art, a sample plate is required to be manufactured according to the expansion and contraction control of the FPC in the copper plugging process, firstly, expansion and contraction of each layer of circuit are measured after etching is finished, expansion and contraction required by corresponding drilling is given according to the expansion and contraction of each layer of circuit, copper plugging is carried out after the drilling is finished, the expansion and contraction after copper plugging is measured, and initial design information is adjusted according to the expansion and contraction after copper plugging. The method needs manual work to extract the harmomegathus data from each work station, belongs to remedial measures, and prolongs the production period; not only can expansion and shrinkage not be prevented and controlled in advance, but also the production cost and the labor cost of enterprises are greatly wasted.
Therefore, there is a need to provide a new technical solution to solve the above technical problems.
[ summary of the invention ]
The invention aims to provide a method, a device, equipment and a storage medium for predicting the expansion and shrinkage of an FPC (flexible printed circuit) in a copper plugging process, which can simplify the production flow, improve the production efficiency and effectively improve the one-time qualification rate of products.
The technical scheme of the invention is as follows:
the embodiment of the invention provides a harmomegathus prediction method for a copper plugging process FPC, which comprises the following steps:
acquiring design information, material information and station information of the FPC to be processed;
comparing the design information, the material information and the work station information with a collapsible information database to obtain a comparison result;
and when the comparison result is that data similar to the design information, the material information and the work station information exist in the expansion and contraction information database, acquiring a corresponding historical expansion and contraction value in the expansion and contraction information database, and determining the historical expansion and contraction value as an expansion and contraction prediction result.
According to an embodiment of the present invention, the collapsible information database includes historical design information, historical material information, historical work station information, and historical collapsible values, and the step of comparing the design information, the material information, and the work station information with the collapsible information database to obtain a comparison result includes:
judging whether the historical design information is similar to the design information;
judging whether the historical material information is similar to the material information;
judging whether the historical work station information is similar to the work station information;
and when the conditions that the historical design information is similar to the design information, the historical material information is similar to the material information and the historical work station information is similar to the work station information are simultaneously met, the comparison result is that data similar to the design information, the material information and the work station information exist in the expansion and contraction information database.
According to one embodiment of the invention, the design information comprises the design of jointed boards of each layer, the residual copper rate, the number of laser blind holes, the aperture and the distribution of the blind holes; the step of judging whether the historical design information is similar to the design information includes:
judging whether the similarity of the jointed board design is greater than 90%;
judging whether the similarity of the residual copper rate is greater than 85%;
judging whether the number, the aperture and the distribution similarity of the blind holes are more than 80%;
and when the similarity of the design of the jointed board is more than 90%, the similarity of the residual copper rate is more than 85%, and the similarity of the number, the aperture and the distribution of the laser blind holes is more than 80%, determining that the historical design information is similar to the design information.
According to one embodiment of the invention, the material information comprises the model and batch number of each layer of FCCL, the size stability test information of each batch of FCCL, the harmomegathus information of exposure films and the PET model; the step of judging whether the historical material information is similar to the material information comprises the following steps:
respectively judging whether the FCCL type, the batch number and the PET model are the same;
judging whether the similarity of the FCCL size stability test information is greater than 95%;
judging whether the similarity of the harmomegathus information of the exposure film is more than 95%;
and when the FCCL type, the batch number and the PET model are the same, the similarity of the FCCL size stability test information is more than 95%, and the similarity of the exposure film harmomegathus information is more than 95%, determining that the historical material information is similar to the material information.
According to one embodiment of the invention, the station information comprises development and etching linear speed information of each layer, target number and distribution information, PET attaching and stripping parameter information and copper paste filling parameter information; the step of judging whether the historical work station information is similar to the work station information comprises the following steps:
judging whether the similarity of the development and etching linear speed information is greater than 95%;
judging whether the similarity of the target shooting quantity and the distribution information is greater than 90%;
judging whether the similarity of the PET attaching and stripping parameter information is greater than 85%;
judging whether the similarity of the copper paste filling parameter information is greater than 85%;
and when the similarity of the developing and etching linear speed information is more than 95%, the similarity of the target number and distribution information is more than 90%, the similarity of the PET attaching and stripping parameter information is more than 85%, and the similarity of the copper paste filling parameter information is more than 85%, determining that the historical station information is similar to the station information.
According to an embodiment of the present invention, after the step of comparing the design information, the material information, and the station information with the collapsible information database to obtain a comparison result, the method further includes:
and when the comparison result indicates that data similar to the design information, the material information and the station information do not exist in the collapsible information database, manually analyzing a collapsible prediction result.
According to an embodiment of the present invention, the harmomegathus prediction method further includes:
and establishing the expansion and contraction information database according to the historical design information, the historical material information, the historical work station information and the historical expansion and contraction values of the circuits of each layer of the FPC.
Another embodiment of the present invention provides a device for predicting shrinkage and expansion of FPC in copper plugging process, including:
the acquisition module is used for acquiring design information, material information and station information of the FPC to be processed;
the comparison module is used for comparing the design information, the material information and the work station information with a collapsible information database to obtain a comparison result;
and the prediction module is used for acquiring corresponding historical expansion and contraction values in the expansion and contraction information database and determining the historical expansion and contraction values as expansion and contraction prediction results when the comparison result indicates that data similar to the design information, the material information and the work station information exist in the expansion and contraction information database.
Another embodiment of the present invention provides an FPC processing apparatus including the expansion and contraction predicting device.
Still another embodiment of the present invention provides a computer storage medium storing a program file capable of implementing the method for predicting the shrinkage of the FPC for the copper plugging process.
The invention has the beneficial effects that: the design information, the material information and the work station information of the FPC are compared with the expansion and shrinkage information database to obtain a predicted expansion and shrinkage result, and the result is applied to FPC processing and manufacturing.
[ description of the drawings ]
FIG. 1 is a schematic flow chart of a method for predicting the shrinkage of an FPC in a copper plugging process according to a first embodiment of the present invention;
FIG. 2 is a schematic flowchart of step S102 in FIG. 1;
FIG. 3 is a schematic flowchart of step S201 in FIG. 2;
FIG. 4 is a schematic flowchart of step S202 in FIG. 2;
FIG. 5 is a schematic flowchart of step S203 in FIG. 2;
FIG. 6 is a schematic flow chart of a harmomegathus prediction method for a copper plug process FPC according to a second embodiment of the present invention;
FIG. 7 is a schematic structural diagram of a collapsible prediction device for a copper plug process FPC according to a first embodiment of the present invention;
FIG. 8 is a schematic structural diagram of a harmomegathus prediction device for a copper plug process FPC according to a second embodiment of the present invention;
fig. 9 is a schematic structural view of an FPC processing apparatus according to an embodiment of the present invention;
fig. 10 is a schematic structural diagram of a computer storage medium according to an embodiment of the present invention.
[ detailed description ] embodiments
The invention is further described with reference to the following figures and embodiments.
Fig. 1 is a schematic flow chart of a method for predicting the shrinkage of the FPC in the copper plugging process according to a first embodiment of the present invention. It should be noted that the method of the present invention is not limited to the flow sequence shown in fig. 1 if the results are substantially the same. As shown in fig. 1, the method includes:
step S101: and acquiring design information, material information and station information of the FPC to be processed.
In step S101, the FPC to be processed includes a multilayer circuit, the design information includes the panel design, the residual copper rate, the number of laser blind holes, the aperture, and the blind hole distribution of each layer, the material information includes the model and the batch number of each layer of FCCL, the dimensional stability test information of each batch of FCCL, the harmomegathus information of the exposure film, and the PET model, and the station information includes the development and etching line speed information, the targeting number and distribution information, the PET bonding and peeling parameter information, and the copper paste filling parameter information of each layer.
Step S102: and comparing the design information, the material information and the work station information with the collapsible information database to obtain a comparison result.
In step S102, the collapsible information database includes historical design information, historical material information, historical work station information, and historical collapsible values of each layer of the line of the FPC. Before step S102, the method further includes: and establishing a harmomegathus information database according to the historical design information, the historical material information, the historical work station information and the historical harmomegathus value of each layer of circuit of the FPC.
Referring to fig. 2, step S102 further includes the following steps:
step S201: and judging whether the historical design information is similar to the design information.
In step S201, please refer to fig. 3, which includes the following steps:
step S301: and judging whether the similarity of the jigsaw design is greater than 90%.
Step S302: and judging whether the similarity of the residual copper rate is more than 85 percent.
Step S303: and judging whether the quantity, the pore diameter and the distribution similarity of the blind holes of the laser are more than 80 percent.
In this embodiment, the steps S301, S302, and S303 are not performed in sequence, and when the similarity of the jigsaw design is greater than 90%, the similarity of the residual copper ratio is greater than 85%, and the similarity of the number of laser blind holes, the diameter of the laser blind holes, and the distribution of the blind holes is greater than 80%, the step S304 is performed in step S301, step S302, and step S303.
Step S304: it is determined that the historical design information is similar to the design information.
Step S202: and judging whether the historical material information is similar to the material information.
In step S202, please refer to fig. 4, which includes the following steps:
step S401: and respectively judging whether the FCCL type, the batch number and the PET model are the same.
Step S402: and judging whether the similarity of the FCCL size stability test information is more than 95%.
Step S403: and judging whether the similarity of the harmomegathus information of the exposure film is more than 95%.
In this embodiment, the steps S401, S402 and S403 are not performed in sequence, and when the FCCL type, the lot number and the PET model are the same, the similarity of the FCCL dimensional stability test information is greater than 95%, and the similarity of the harmomegathus information of the exposure film is greater than 95%, the step S404 is performed in the step S401, the step S402 and the step S403.
Step S404: and determining that the historical material information is similar to the material information.
Step S203: and judging whether the historical work station information is similar to the work station information.
In step S203, please refer to fig. 5, which includes the following steps:
step S501: and judging whether the similarity of the development and etching linear speed information is more than 95%.
Step S502: and judging whether the similarity of the target number and the distribution information is greater than 90%.
Step S503: and judging whether the similarity of the PET attaching and stripping parameter information is more than 85%.
Step S504: and judging whether the similarity of the copper paste filling parameter information is greater than 85%.
In this embodiment, step S501, step S502, step S503 and step S504 are not executed in sequence, and when step S501, step S502, step S503 and step S504 simultaneously satisfy that the similarity of the development and etching linear speed information is greater than 95%, the similarity of the target number and distribution information is greater than 90%, the similarity of the PET bonding and stripping parameter information is greater than 85%, and the similarity of the copper paste filling parameter information is greater than 85%, step S505 is executed.
Step S505: and determining that the historical work station information is similar to the work station information.
In this embodiment, the steps S201, S202 and S203 are not performed in sequence, and when the steps S201, S202 and S203 simultaneously satisfy that the historical design information is similar to the design information, the historical material information is similar to the material information, and the historical station information is similar to the station information, the comparison result is that data similar to the design information, the material information and the station information exists in the harmomegathus information database, and then the step S103 is performed; when the above conditions are not simultaneously satisfied in step S201, step S202, and step S203, the comparison result indicates that there is no data similar to the design information, the material information, and the station information in the collapsible information database. When the above conditions are not simultaneously satisfied by steps S201, S202 and S203, it should be understood that only one or two of steps S201, S202 and S203 satisfy the similar conditions or none of the steps satisfy the similar conditions.
Step S103: and when the comparison result is that data similar to the design information, the material information and the work station information exist in the expansion and contraction information database, acquiring corresponding historical expansion and contraction values in the expansion and contraction information database, and determining the historical expansion and contraction values as expansion and contraction prediction results.
According to the harmomegathus prediction method for the FPC in the copper plugging process, the design information, the material information and the work station information of the FPC are compared with the harmomegathus information database, the harmomegathus prediction result is obtained and applied to FPC processing and manufacturing, and compared with the method of measuring the harmomegathus of a sample plate and modifying the initial design, the harmomegathus prediction method for the FPC in the first embodiment of the invention has the advantages that the production flow is simplified, the production efficiency is improved, the one-time qualified rate of products is improved, and meanwhile, the production cost and the labor cost.
Fig. 6 is a flowchart illustrating a method for predicting the shrinkage of the FPC in the copper plug process according to a second embodiment of the present invention. It should be noted that the method of the present invention is not limited to the flow sequence shown in fig. 6 if the results are substantially the same. As shown in fig. 6, the method includes:
step S601: and acquiring design information, material information and station information of the FPC to be processed.
Step 601 in fig. 6 of this embodiment is similar to step S101 in fig. 1, and is not described in detail here.
Step S602: and comparing the design information, the material information and the work station information with the collapsible information database to obtain a comparison result.
Step 602 in fig. 6 of this embodiment is similar to step S102 in fig. 1, and is not repeated here. In addition, in this embodiment, when the comparison result is that data similar to the design information, the material information, and the station information exists in the collapsible information database, step S603 is executed; and executing step S604 when the comparison result is that the data similar to the design information, the material information and the work station information do not exist in the harmomegathus information database.
Step S603: when the corresponding historical expansion and contraction values in the expansion and contraction information database are obtained, the historical expansion and contraction values are determined as the expansion and contraction prediction results
Step S604: and (5) manually analyzing the expansion and shrinkage prediction result.
In step S604, the expansion/contraction prediction result is manually analyzed and fed back to the line process, and the line process performs initial parameter adjustment according to the expansion/contraction prediction result.
According to the harmomegathus prediction method for the copper plug process FPC, on the basis of the first embodiment, when the comparison result is that data similar to design information, material information and station information do not exist in the harmomegathus information database, the harmomegathus prediction result is obtained through manual analysis, the condition that information collection of the harmomegathus information database is incomplete is prevented, harmomegathus prediction can be carried out smoothly, and the processing progress of the FPC is prevented from being influenced.
Fig. 7 is a schematic structural diagram of a collapsible prediction device for a copper plug process FPC according to a first embodiment of the present invention, and as shown in fig. 7, the collapsible prediction device 70 includes: an acquisition module 71, a comparison module 72 and a prediction module 73.
The obtaining module 71 is configured to obtain design information, material information, and station information of the FPC to be processed.
The comparing module 72 is coupled to the obtaining module 71, and is configured to compare the design information, the material information, and the station information with the collapsible information database to obtain a comparison result.
The prediction module 73 is coupled to the comparison module 72, and configured to, when the comparison result is that data similar to the design information, the material information, and the station information exists in the collapsible information database, obtain a corresponding historical collapsible value in the collapsible information database, and determine the historical collapsible value as the collapsible prediction result.
Fig. 8 is a schematic structural view of a collapsible prediction device for a copper plug process FPC according to a second embodiment of the present invention, and as shown in fig. 8, the collapsible prediction device 80 includes: an obtaining module 81, a comparing module 82, a first predicting module 83 and a second predicting module 84.
The obtaining module 81 is used for obtaining design information, material information and station information of the FPC to be processed.
The comparison module 82 is coupled to the obtaining module 81, and configured to compare the design information, the material information, and the station information with the collapsible information database to obtain a comparison result.
The first prediction module 83 is coupled to the comparison module 82, and configured to, when the comparison result is that data similar to the design information, the material information, and the station information exists in the collapsible information database, obtain a corresponding historical collapsible value in the collapsible information database, and determine the historical collapsible value as the collapsible prediction result.
The second prediction module 84 is coupled to the comparison module 82, and configured to manually analyze the harmomegathus prediction result when the comparison result is that data similar to the design information, the material information, and the station information does not exist in the harmomegathus information database.
Fig. 9 is a schematic structural diagram of an FPC processing apparatus according to an embodiment of the present invention, and as shown in fig. 9, the FPC processing apparatus 90 includes a stretch/shrink prediction device 91, a circuit etching device 92, a PET film sticking device 93, a laser device 94, a printing device 95, a PET peeling device 96, and a pressing device 97. In the FPC processing process, firstly, a swelling and shrinking value is predicted in advance by a swelling and shrinking prediction device 91, then, a circuit is etched by a circuit etching device 92, PET film pasting is carried out by a PET film pasting device 93, blind holes are radiussed by a radiusing device 94, copper paste is printed and filled in the blind holes by a printing device 95, PET demoulding is carried out by a PET stripping device 96, and finally, the circuit is pressed by a pressing device 97, so that FPC processing is completed.
Referring to fig. 10, fig. 10 is a schematic structural diagram of a computer storage medium according to an embodiment of the present invention. The computer storage medium of the embodiment of the present invention stores a program file 11 capable of implementing all the methods described above, where the program file 11 may be stored in the computer storage medium in the form of a software product, and includes several instructions to enable a computer device (which may be a personal computer, a server, or a network device) or a processor (processor) to execute all or part of the steps of the methods described in the embodiments of the present invention. And the aforementioned computer storage media include: various media capable of storing program codes, such as a usb disk, a mobile hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, or terminal devices, such as a computer, a server, a mobile phone, and a tablet.
In the embodiments provided in the present invention, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of a unit is merely a logical division, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
While the foregoing is directed to embodiments of the present invention, it will be understood by those skilled in the art that various changes may be made without departing from the spirit and scope of the invention.
Claims (10)
1. A method for predicting the expansion and shrinkage of an FPC (flexible printed circuit) in a copper plugging process is characterized by comprising the following steps:
acquiring design information, material information and station information of the FPC to be processed;
comparing the design information, the material information and the work station information with a collapsible information database to obtain a comparison result;
and when the comparison result is that data similar to the design information, the material information and the work station information exist in the expansion and contraction information database, acquiring a corresponding historical expansion and contraction value in the expansion and contraction information database, and determining the historical expansion and contraction value as an expansion and contraction prediction result.
2. The method for predicting harmomegathus as claimed in claim 1, wherein the harmomegathus information database comprises historical design information, historical material information, historical work station information and historical harmomegathus values, and the step of comparing the design information, the material information and the work station information with the harmomegathus information database to obtain a comparison result comprises:
judging whether the historical design information is similar to the design information;
judging whether the historical material information is similar to the material information;
judging whether the historical work station information is similar to the work station information;
and when the conditions that the historical design information is similar to the design information, the historical material information is similar to the material information and the historical work station information is similar to the work station information are simultaneously met, the comparison result is that data similar to the design information, the material information and the work station information exist in the expansion and contraction information database.
3. The method of claim 2, wherein the design information includes a panel design, a residual copper rate, a number of laser blind holes, a hole diameter, and a blind hole distribution of each layer; the step of judging whether the historical design information is similar to the design information includes:
judging whether the similarity of the jointed board design is greater than 90%;
judging whether the similarity of the residual copper rate is greater than 85%;
judging whether the number, the aperture and the distribution similarity of the blind holes are more than 80%;
and when the similarity of the design of the jointed board is more than 90%, the similarity of the residual copper rate is more than 85%, and the similarity of the number, the aperture and the distribution of the laser blind holes is more than 80%, determining that the historical design information is similar to the design information.
4. The method according to claim 2, wherein the material information includes FCCL model and lot number of each layer, FCCL dimensional stability test information of each lot, exposure film harmomegathus information, PET model; the step of judging whether the historical material information is similar to the material information comprises the following steps:
respectively judging whether the FCCL type, the batch number and the PET model are the same;
judging whether the similarity of the FCCL size stability test information is greater than 95%;
judging whether the similarity of the harmomegathus information of the exposure film is more than 95%;
and when the FCCL type, the batch number and the PET model are the same, the similarity of the FCCL size stability test information is more than 95%, and the similarity of the exposure film harmomegathus information is more than 95%, determining that the historical material information is similar to the material information.
5. The method according to claim 2, wherein the station information includes information on linear speed of development and etching of each layer, information on the number and distribution of targets, information on PET bonding and peeling parameters, and information on copper paste filling parameters; the step of judging whether the historical work station information is similar to the work station information comprises the following steps:
judging whether the similarity of the development and etching linear speed information is greater than 95%;
judging whether the similarity of the target shooting quantity and the distribution information is greater than 90%;
judging whether the similarity of the PET attaching and stripping parameter information is greater than 85%;
judging whether the similarity of the copper paste filling parameter information is greater than 85%;
and when the similarity of the developing and etching linear speed information is more than 95%, the similarity of the target number and distribution information is more than 90%, the similarity of the PET attaching and stripping parameter information is more than 85%, and the similarity of the copper paste filling parameter information is more than 85%, determining that the historical station information is similar to the station information.
6. The method for predicting harmomegathus as claimed in claim 1, wherein after the step of comparing the design information, the material information and the station information with the harmomegathus information database to obtain the comparison result, the method further comprises:
and when the comparison result indicates that data similar to the design information, the material information and the station information do not exist in the collapsible information database, manually analyzing a collapsible prediction result.
7. The method of claim 1, further comprising:
and establishing the expansion and contraction information database according to the historical design information, the historical material information, the historical work station information and the historical expansion and contraction values of the circuits of each layer of the FPC.
8. A harmomegathus prediction device for a copper plugging process FPC is characterized by comprising:
the acquisition module is used for acquiring design information, material information and station information of the FPC to be processed;
the comparison module is used for comparing the design information, the material information and the work station information with a collapsible information database to obtain a comparison result;
and the prediction module is used for acquiring corresponding historical expansion and contraction values in the expansion and contraction information database and determining the historical expansion and contraction values as expansion and contraction prediction results when the comparison result indicates that data similar to the design information, the material information and the work station information exist in the expansion and contraction information database.
9. An FPC processing apparatus comprising the harmomegathus prediction device of claim 8.
10. A computer storage medium, characterized in that a program file capable of implementing the harmomegathus prediction method for a copper plugged process FPC as claimed in any one of claims 1-7 is stored.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010844703.8A CN112131825A (en) | 2020-08-20 | 2020-08-20 | Expansion and shrinkage prediction method, device, equipment and storage medium for copper plugging process FPC |
| PCT/CN2020/112488 WO2022036755A1 (en) | 2020-08-20 | 2020-08-31 | Expansion and shrinkage prediction method and apparatus for copper-plugging-process fpc, device, and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010844703.8A CN112131825A (en) | 2020-08-20 | 2020-08-20 | Expansion and shrinkage prediction method, device, equipment and storage medium for copper plugging process FPC |
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| CN112131825A true CN112131825A (en) | 2020-12-25 |
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| CN202010844703.8A Pending CN112131825A (en) | 2020-08-20 | 2020-08-20 | Expansion and shrinkage prediction method, device, equipment and storage medium for copper plugging process FPC |
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Citations (4)
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|---|---|---|---|---|
| CN106572600A (en) * | 2016-10-12 | 2017-04-19 | 江西景旺精密电路有限公司 | Novel PCB linear expansion control method |
| CN108304963A (en) * | 2018-04-11 | 2018-07-20 | 惠州美锐电子科技有限公司 | A kind of harmomegathus prediction technique of multilayer circuit board |
| CN108668444A (en) * | 2018-06-25 | 2018-10-16 | 广州兴森快捷电路科技有限公司 | Harmomegathus control method, processing method and system, computer storage media and equipment |
| CN109409017A (en) * | 2018-12-14 | 2019-03-01 | 深圳市景旺电子股份有限公司 | A method of quick and precisely modifying harmomegathus mark in circuit board production system |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111278230A (en) * | 2020-03-26 | 2020-06-12 | 定颖电子(黄石)有限公司 | Method for screening negative films of printed circuit boards |
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2020
- 2020-08-20 CN CN202010844703.8A patent/CN112131825A/en active Pending
- 2020-08-31 WO PCT/CN2020/112488 patent/WO2022036755A1/en active Application Filing
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106572600A (en) * | 2016-10-12 | 2017-04-19 | 江西景旺精密电路有限公司 | Novel PCB linear expansion control method |
| CN108304963A (en) * | 2018-04-11 | 2018-07-20 | 惠州美锐电子科技有限公司 | A kind of harmomegathus prediction technique of multilayer circuit board |
| CN108668444A (en) * | 2018-06-25 | 2018-10-16 | 广州兴森快捷电路科技有限公司 | Harmomegathus control method, processing method and system, computer storage media and equipment |
| CN109409017A (en) * | 2018-12-14 | 2019-03-01 | 深圳市景旺电子股份有限公司 | A method of quick and precisely modifying harmomegathus mark in circuit board production system |
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| WO2022036755A1 (en) | 2022-02-24 |
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