PC composite material design method and system capable of intelligently adjusting electromagnetic shielding function

Abstract

The invention belongs to the technical field of material excitation design, and provides a PC composite material design method and system capable of intelligently adjusting an electromagnetic shielding function, and the method comprises the steps: constructing an efficiency change curve under different excitation conditions according to a test result, carrying out the comparative analysis of the efficiency change curve, selecting a target excitation condition from the excitation conditions, and carrying out the design of a PC composite material. Integrating to obtain a first excitation sorting table; analyzing and processing the allowable excitation range of the target excitation condition in the first excitation sorting table to obtain a second excitation sorting table, comparing the first excitation sorting table with the second excitation sorting table, judging the deviation degree between the first excitation sorting table and the second excitation sorting table, and generating a corresponding deviation signal according to the deviation degree; according to the generated deviation signal, a final excitation sorting table is determined, excitation adjustment of the PC composite material is carried out according to the final excitation sorting table, and intelligent adjustment based on external excitation condition changes is achieved through analysis, sorting and feedback.

Description

Technical Field

[0001] The invention belongs to the technical field of material excitation design, and in particular relates to a PC composite material design method and system for intelligently adjusting electromagnetic shielding function. Background Art

[0002] As a key part of the performance of electronic equipment, the design of electromagnetic shielding effectiveness directly affects the anti-interference ability of the equipment and the safety of users. Especially in the increasingly complex environment of modern electronic equipment, the diversity and complexity of electromagnetic interference sources have put forward higher requirements on the performance of electromagnetic shielding materials. Therefore, how to design PC composite materials with scientific and intelligent adjustment of electromagnetic shielding functions based on these complex factors has become an urgent problem to be solved.

[0003] In the existing technology, the design of traditional electromagnetic shielding PC composite materials often relies on experience and judgment, lacking scientific analysis and optimization. Specifically, these methods fail to fully consider the diversity and complexity of electromagnetic interference sources, and fail to dynamically adjust the shielding effectiveness to adapt to different application environments and interference conditions.

[0004] To this end, the present invention provides a PC composite material design method and system for intelligently adjusting electromagnetic shielding function. Summary of the invention

[0005] In order to make up for the deficiencies of the prior art, at least one technical problem raised in the background technology is solved.

[0006] The technical solution adopted by the present invention to solve the technical problem is: a design method and system for PC composite materials with intelligent adjustment of electromagnetic shielding function, including:

[0007] Step 1: To obtain the conductive polymer, the shape memory alloy or magnetostrictive material needs to be prepared into micrometer or nanometer size. To obtain the composite resin, the conductive polymer particles or fibers need to be fused with PC / ABS by melt mixing, solution mixing or mechanical blending to obtain a PC composite material;

[0008] Step 2: Test the electromagnetic shielding effectiveness of the PC composite material under different excitation conditions during the test period, gradually change the value of the excitation condition, and construct the effectiveness change curve under different excitation conditions according to the test results, compare and analyze the effectiveness change curve, select the target excitation condition from the excitation conditions, and integrate them to obtain the first excitation ranking table;

[0009] Step 3: Analyze and process the allowable excitation range of the target excitation conditions in the first excitation ranking table to obtain a second excitation ranking table, compare the first excitation ranking table with the second excitation ranking table, determine the degree of deviation between the first excitation ranking table and the second excitation ranking table according to the comparison result, and generate a corresponding deviation signal according to the degree of deviation, wherein the deviation signal includes a high deviation signal and a low deviation signal;

[0010] Step 4: Determine the final excitation ranking table based on the generated deviation signal, and perform excitation adjustment on the PC composite material based on the final excitation ranking table.

[0011] A PC composite material design system that intelligently adjusts electromagnetic shielding functions, including:

[0012] Material preparation module: To obtain conductive polymers, shape memory alloys or magnetostrictive materials need to be prepared into micrometer or nanometer sizes. To obtain composite resins, conductive polymer particles or fibers need to be fused with PC / ABS by melt mixing, solution mixing or mechanical blending to obtain PC composite materials.

[0013] Excitation condition selection module: Test the electromagnetic shielding effectiveness of PC composite materials under different excitation conditions during the test cycle, gradually change the value of the excitation conditions, and construct the effectiveness change curve under different excitation conditions according to the test results, compare and analyze the effectiveness change curve, select the target excitation condition from the excitation conditions, and integrate them to obtain the first excitation ranking table;

[0014] Condition deviation analysis module: Analyze and process the allowable excitation range of the target excitation condition in the first excitation ranking table to obtain the second excitation ranking table, compare the first excitation ranking table with the second excitation ranking table, determine the degree of deviation between the first excitation ranking table and the second excitation ranking table according to the comparison result, and generate a corresponding deviation signal according to the degree of deviation, wherein the deviation signal includes a high deviation signal and a low deviation signal;

[0015] Excitation adjustment module: Determine the final excitation ranking table according to the generated deviation signal, and perform excitation adjustment of the PC composite material according to the final excitation ranking table.

[0016] The beneficial effects of the present invention are as follows: Conductive polymers and PC / ABS resins are integrated to prepare PC composite materials with dynamic electromagnetic shielding effectiveness adjustment capabilities through melt mixing and other technologies. The system realizes intelligent adjustment based on changes in external excitation conditions through precise data analysis and excitation sorting, and ensures that the material achieves the preset electromagnetic shielding effectiveness through a feedback mechanism, thereby providing an efficient and flexible solution in the field of electromagnetic shielding. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The present invention will be further described below in conjunction with the accompanying drawings.

[0018] Figure 1 is a flowchart of the steps of the PC composite material design method for intelligently adjusting the electromagnetic shielding function according to an embodiment of the present invention;

[0019] Figure 2 It is a flowchart of a PC composite material design system for intelligently adjusting electromagnetic shielding function according to an embodiment of the present invention. DETAILED DESCRIPTION

[0020] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0021] Example 1

[0022] like Figure 1 As shown, the PC composite material design method for intelligently adjusting the electromagnetic shielding function according to the embodiment of the present invention includes:

[0023] Step 1: To obtain the conductive polymer, the shape memory alloy or magnetostrictive material needs to be prepared into micrometer or nanometer size. To obtain the composite resin, the conductive polymer particles or fibers need to be fused with PC / ABS by melt mixing, solution mixing or mechanical blending to obtain a PC composite material;

[0024] Step 2: Test the electromagnetic shielding effectiveness of the PC composite material under different excitation conditions during the test period, gradually change the value of the excitation condition, and construct the effectiveness change curve under different excitation conditions according to the test results, compare and analyze the effectiveness change curve, select the target excitation condition from the excitation conditions, and integrate them to obtain the first excitation ranking table;

[0025] It should be noted that the excitation conditions include but are not limited to temperature, electric field, and magnetic field;

[0026] During the test cycle, based on any stimulus condition;

[0027] Obtain the electromagnetic shielding effectiveness values ​​of PC composite materials tested under the same excitation conditions but different excitation condition values;

[0028] In some embodiments, a two-dimensional rectangular coordinate system is constructed with the excitation condition value as the X-axis and the electromagnetic shielding effectiveness value as the Y-axis, and the electromagnetic shielding effectiveness values ​​obtained by testing under the same excitation condition but different excitation condition values ​​are marked and connected in the coordinate system to obtain an effectiveness change curve;

[0029] It should be noted that there are multiple performance change curves, and each performance change curve corresponds to an incentive condition;

[0030] The performance change curves include but are not limited to temperature-performance change curves, electric field-performance change curves, and magnetic field-performance change curves;

[0031] Measure the electromagnetic shielding effectiveness value of the PC composite material under normal conditions, and mark it on the Y axis in the two-dimensional rectangular coordinate system. Draw a straight line parallel to the X axis through the marked point, marked as the normal effectiveness line;

[0032] It should be noted that the horizontal length of each performance change curve is equal to the horizontal length of the normal performance straight line;

[0033] Measure the length of the part where each performance change curve overlaps with the normal performance line, mark it as the overlap length, perform ratio processing on the overlap length and the line length of the normal performance line, obtain the length overlap value, and mark it as CD;

[0034] The area enclosed by the performance change curve and the normal performance straight line is measured and marked as the deviation area. The area enclosed by the normal performance straight line and the X-axis is marked as the reference area. The deviation area is ratioed with the reference area to obtain the area deviation value, which is marked as MD.

[0035] The obtained coincidence value CD and area deviation value MD are processed by the formula: The influence value FC of the incentive condition on the performance is obtained, where a1 is 0.87 and a2 is 0.35; both are preset proportional coefficients;

[0036] The obtained influence value FC is compared with the preset influence threshold FY, specifically:

[0037] If the influence value FC> the preset influence threshold FY, then its incentive condition is marked as the target incentive condition;

[0038] If the influence value FC ≤ the preset influence threshold FY, then the incentive condition is marked as a non-target incentive condition;

[0039] Sort the target incentive conditions according to the influence value FC from large to small to obtain the first incentive sorting table;

[0040] Step 3: Analyze and process the allowable excitation range of the target excitation conditions in the first excitation ranking table to obtain a second excitation ranking table, compare the first excitation ranking table with the second excitation ranking table, determine the degree of deviation between the first excitation ranking table and the second excitation ranking table according to the comparison result, and generate a corresponding deviation signal according to the degree of deviation, wherein the deviation signal includes a high deviation signal and a low deviation signal;

[0041] It should be noted that the permissible excitation range of the target excitation condition includes but is not limited to the temperature excitation range, the electric field excitation range and the magnetic field permissible excitation range;

[0042] Sort the target incentive conditions from large to small according to the allowable incentive range to obtain a second incentive sorting table;

[0043] The first incentive ranking table and the second incentive ranking table are compared and analyzed, specifically:

[0044] Integrate the target incentive conditions with the same ranking in the first incentive ranking table and the second incentive ranking table into an incentive condition group;

[0045] Based on any set of incentive conditions;

[0046] If the two target incentive conditions contained in the incentive condition group are different, the incentive condition group is marked as a non-same incentive group;

[0047] If the two target incentive conditions contained in the incentive condition group are the same, the incentive condition group is marked as the same incentive group;

[0048] Count the number of groups with the same incentive and compare it with the total number of incentive condition groups to get the same incentive number ratio, which is marked as SL;

[0049] Based on the non-same incentive group, the rankings of the two target incentive conditions contained in the non-same incentive group are obtained, and the absolute value of the difference is processed to obtain the ranking difference of the non-same incentive group. The ranking differences of all non-same incentive groups are summed and averaged to obtain the mean ranking difference. The mean ranking difference is compared with the maximum ranking difference to obtain the incentive ranking difference performance value, which is marked as BX;

[0050] The maximum ranking difference is obtained by subtracting 1 from the last ranking in the second incentive ranking table;

[0051] The obtained incentive quantity same ratio SL and incentive ranking difference performance value BX are processed by data, and the formula is: The ranking performance value PC is obtained, where s1 is 0.892 and s2 is 0.473; both are preset proportional coefficients;

[0052] Compare the ranking performance value PC with the ranking performance threshold;

[0053] If the ranking performance value PC is greater than the ranking performance threshold, it means that the degree of deviation between the first stimulus ranking table and the second stimulus ranking table is small, and a low deviation signal is generated;

[0054] If the ranking performance value PC is less than or equal to the ranking performance threshold, it means that the deviation between the first stimulus ranking table and the second stimulus ranking table is large, and a high deviation signal is generated;

[0055] Step 4: Determine the final excitation ranking table according to the generated deviation signal, and adjust the excitation of the PC composite material according to the final excitation ranking table;

[0056] Specifically, if the generated deviation signal is a low deviation signal, the first excitation ranking table or the second excitation ranking table is selected as the final excitation ranking table;

[0057] If the generated deviation signal is a high deviation signal, based on any one of the target incentive conditions;

[0058] According to the allowable incentive range of the target incentive condition, the allowable incentive value is obtained, wherein the allowable incentive value is obtained by performing difference processing on the maximum endpoint value and the minimum endpoint value of the allowable incentive range, and the allowable incentive value is multiplied by the impact value corresponding to the target incentive condition to obtain the adjustable performance value of the performance;

[0059] Sort the target incentive conditions from large to small according to the adjustable performance value of effectiveness to obtain the final incentive ranking table;

[0060] The PC composite material is excited and adjusted according to the final excitation ranking table. For example, the target excitation condition ranked first in the final excitation ranking table is preferentially selected for excitation adjustment of the PC composite material. If the electromagnetic shielding effectiveness of the PC composite material does not reach the preset electromagnetic shielding effectiveness after adjustment within the allowable excitation range of the target excitation condition, the second-ranked target excitation condition is continued to be selected for excitation adjustment of the PC composite material, and the selection is repeated until the electromagnetic shielding effectiveness of the PC composite material reaches the preset electromagnetic shielding effectiveness.

[0061] The technical solution of the embodiment of the present invention is:

[0062] Conductive polymer particles or fibers are fused with PC / ABS by melt mixing, solution mixing or mechanical blending to obtain a PC composite material;

[0063] By testing the electromagnetic shielding effectiveness values ​​of PC composite materials under different excitation conditions, the first and second excitation ranking tables are obtained through analysis and processing. The two tables are compared and analyzed to determine the final excitation ranking table. The system adjusts the PC composite material through the ranking table until the preset electromagnetic shielding effectiveness is achieved.

[0064] The present invention innovatively integrates conductive polymers and PC / ABS resins, and prepares PC composite materials with dynamic electromagnetic shielding effectiveness adjustment capabilities through melt mixing and other technologies. The system realizes intelligent adjustment based on changes in external excitation conditions through precise data analysis and excitation sorting, and ensures that the material achieves the preset electromagnetic shielding effectiveness through a feedback mechanism, thus providing an efficient and flexible solution in the field of electromagnetic shielding.

[0065] Example 2

[0066] like Figure 2 As shown, the PC composite material design system for intelligently adjusting electromagnetic shielding function according to an embodiment of the present invention includes:

[0067] Material preparation module: To obtain conductive polymers, shape memory alloys or magnetostrictive materials need to be prepared into micrometer or nanometer sizes. To obtain composite resins, conductive polymer particles or fibers need to be fused with PC / ABS by melt mixing, solution mixing or mechanical blending to obtain PC composite materials.

[0068] Excitation condition selection module: Test the electromagnetic shielding effectiveness of PC composite materials under different excitation conditions during the test cycle, gradually change the value of the excitation conditions, and construct the effectiveness change curve under different excitation conditions according to the test results, compare and analyze the effectiveness change curve, select the target excitation condition from the excitation conditions, and integrate them to obtain the first excitation ranking table;

[0069] Condition deviation analysis module: Analyze and process the allowable excitation range of the target excitation condition in the first excitation ranking table to obtain the second excitation ranking table, compare the first excitation ranking table with the second excitation ranking table, determine the degree of deviation between the first excitation ranking table and the second excitation ranking table according to the comparison result, and generate a corresponding deviation signal according to the degree of deviation, wherein the deviation signal includes a high deviation signal and a low deviation signal;

[0070] Excitation adjustment module: Determine the final excitation ranking table according to the generated deviation signal, and perform excitation adjustment of the PC composite material according to the final excitation ranking table.

[0071] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A design method for PC composite materials with intelligent adjustment of electromagnetic shielding function, characterized by: include: Step 1: To obtain the conductive polymer, the shape memory alloy or magnetostrictive material needs to be prepared into micrometer or nanometer size. To obtain the composite resin, the conductive polymer particles or fibers need to be fused with PC / ABS by melt mixing, solution mixing or mechanical blending to obtain a PC composite material; Step 2: Test the electromagnetic shielding effectiveness of the PC composite material under different excitation conditions during the test period, gradually change the value of the excitation condition, and construct the effectiveness change curve under different excitation conditions according to the test results, compare and analyze the effectiveness change curve, select the target excitation condition from the excitation conditions, and integrate them to obtain the first excitation ranking table; Step 3: Analyze and process the allowable excitation range of the target excitation conditions in the first excitation ranking table to obtain a second excitation ranking table, compare the first excitation ranking table with the second excitation ranking table, determine the degree of deviation between the first excitation ranking table and the second excitation ranking table according to the comparison result, and generate a corresponding deviation signal according to the degree of deviation, wherein the deviation signal includes a high deviation signal and a low deviation signal; Step 4: Determine the final excitation ranking table based on the generated deviation signal, and perform excitation adjustment on the PC composite material based on the final excitation ranking table.

2. The method for designing a PC composite material with intelligently adjusting electromagnetic shielding function according to claim 1, characterized in that: The process of selecting the target incentive condition from the incentive conditions is as follows: During the test cycle, based on any stimulus condition; Obtain the electromagnetic shielding effectiveness values ​​of PC composite materials tested under the same excitation conditions but different excitation condition values; A two-dimensional rectangular coordinate system is constructed with the excitation condition value as the X-axis and the electromagnetic shielding effectiveness value as the Y-axis, and the electromagnetic shielding effectiveness values ​​tested under the same excitation condition but different excitation condition values ​​are marked and connected in the coordinate system to obtain an effectiveness change curve.

3. The method for designing a PC composite material with intelligent adjustment of electromagnetic shielding function according to claim 2, characterized in that: Measure the electromagnetic shielding effectiveness value of the PC composite material under normal conditions, and mark it on the Y axis in the two-dimensional rectangular coordinate system. Draw a straight line parallel to the X axis through the marked point, marked as the normal effectiveness line; Analyze the performance change curve and the normal performance straight line to obtain the coincidence value CD and the area deviation value MD; The obtained coincidence value CD and area deviation value MD are processed to calculate the influence value FC of the incentive condition on the performance; The obtained influence value FC is compared with the preset influence threshold FY, specifically: If the influence value FC>the preset influence threshold FY, the excitation condition is marked as the target excitation condition.

4. The method for designing a PC composite material with intelligently adjustable electromagnetic shielding function according to claim 3, characterized in that: The method for obtaining the coincidence value CD is as follows: The length of the overlapped portion of each performance change curve with the normal performance line is measured and marked as the overlapped length. The overlapped length is ratioed with the straight line length of the normal performance line to obtain the length overlapped value, which is marked as CD.

5. The method for designing a PC composite material with intelligent adjustment of electromagnetic shielding function according to claim 4, characterized in that: The area deviation value MD is obtained as follows: The area enclosed by the measurement efficiency change curve and the normal efficiency straight line is marked as the deviation area, the area enclosed by the normal efficiency straight line and the X-axis is marked as the reference area, the deviation area is ratioed to the reference area to obtain the area deviation value, and it is marked as MD.

6. The method for designing a PC composite material with intelligently adjustable electromagnetic shielding function according to claim 1, characterized in that: The deviation signal is generated as follows: Integrate the target incentive conditions with the same ranking in the first incentive ranking table and the second incentive ranking table into an incentive condition group; Based on any set of incentive conditions; If the two target incentive conditions contained in the incentive condition group are different, the incentive condition group is marked as a non-same incentive group; If the two target incentive conditions contained in the incentive condition group are the same, the incentive condition group is marked as the same incentive group; The non-same incentive groups and the same incentive groups were analyzed to obtain the same incentive number ratio SL and the incentive ranking difference performance value BX.

7. The method for designing a PC composite material with intelligently adjustable electromagnetic shielding function according to claim 6, characterized in that: The obtained incentive quantity same ratio SL and incentive ranking difference performance value BX are processed to obtain the ranking performance value PC by calculation; Compare the ranking performance value PC with the ranking performance threshold; If the ranking performance value PC is greater than the ranking performance threshold, it means that the degree of deviation between the first stimulus ranking table and the second stimulus ranking table is small, and a low deviation signal is generated; If the ranking performance value PC is less than or equal to the ranking performance threshold, it means that the deviation between the first excitation ranking table and the second excitation ranking table is large, and a high deviation signal is generated.

8. The method for designing a PC composite material with intelligently adjustable electromagnetic shielding function according to claim 7, characterized in that: The method for obtaining the same ratio of the number of incentives SL is as follows: The number of groups with the same stimulus was counted and the ratio was processed with the total number of stimulus condition groups to obtain the stimulus number same ratio, which was marked as SL.

9. The method for designing a PC composite material with intelligently adjustable electromagnetic shielding function according to claim 8, characterized in that: The incentive ranking difference performance value BX is obtained in the following manner: Based on the non-same incentive groups, the rankings of the two target incentive conditions contained in the non-same incentive groups are obtained, and the absolute values ​​of the differences are taken to obtain the ranking differences of the non-same incentive groups. The ranking differences of all non-same incentive groups are summed and averaged to obtain the ranking difference mean. The ranking difference mean is ratioed with the maximum ranking difference to obtain the incentive ranking difference performance value, which is marked as BX.

10. A PC composite material design system with intelligent adjustment of electromagnetic shielding function, the system is used to implement the simulation method as described in any one of claims 1 to 9 above, characterized in that: include: Material preparation module: To obtain conductive polymers, shape memory alloys or magnetostrictive materials need to be prepared into micrometer or nanometer sizes. To obtain composite resins, conductive polymer particles or fibers need to be fused with PC / ABS by melt mixing, solution mixing or mechanical blending to obtain PC composite materials. Excitation condition selection module: Test the electromagnetic shielding effectiveness of PC composite materials under different excitation conditions during the test cycle, gradually change the value of the excitation conditions, and construct the effectiveness change curve under different excitation conditions according to the test results, compare and analyze the effectiveness change curve, select the target excitation condition from the excitation conditions, and integrate them to obtain the first excitation ranking table; Condition deviation analysis module: Analyze and process the allowable excitation range of the target excitation condition in the first excitation ranking table to obtain the second excitation ranking table, compare the first excitation ranking table with the second excitation ranking table, determine the degree of deviation between the first excitation ranking table and the second excitation ranking table according to the comparison result, and generate a corresponding deviation signal according to the degree of deviation, wherein the deviation signal includes a high deviation signal and a low deviation signal; Excitation adjustment module: Determine the final excitation ranking table according to the generated deviation signal, and perform excitation adjustment of the PC composite material according to the final excitation ranking table.

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