CN109376372A - A kind of optimization optical interconnection module key position postwelding coupling efficiency method - Google Patents
A kind of optimization optical interconnection module key position postwelding coupling efficiency method Download PDFInfo
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Abstract
The invention discloses a kind of optimization optical interconnection module key position postwelding coupling efficiency methods, 32 groups of test combinations are designed first with response phase method, according to this 32 groups of experiment parameters, establish corresponding 32 groups of simulation models, then the functional relation of optical interconnection module key position postwelding coupling efficiency and key factor is obtained using Response Surface Method, variance analysis is carried out to functional expression obtained, it is determined that the validity of regression equation；Genetic algorithm is recycled to optimize regression equation, initial population is successively executed to generate, intersection, make a variation and evolve and reverse operation, the optimum combination most beneficial for the coupling efficiency for promoting optical interconnection module key position postwelding is obtained, is verified finally by corresponding optical interconnection module finite element analysis model is established；This method has excellent robust performance, and calculating is relatively simple, brings great convenience for later period Parameters Optimal Design, the calculated result after optimization is ideal.
Description
Technical field
It is specifically a kind of to be based on Response Surface Method and genetic algorithm the present invention relates to microelectronics Packaging light network technical field
Optimize the method for optical interconnection module key position postwelding coupling efficiency.
Background technique
Light network technology is as a kind of solution because electrical interconnection technology is in surface installation technique (Surface Mount
Technology, SMT) and the signal transmission bottleneck problem that encounters by the reason of high density and micromation of micro-group dress aspect is new
One of interconnection mode has good development prospect.But because in encapsulation assembling process because of heat existing for technique and working environment and
The influence of the factors such as vibration, optical path aligned position can generate offset, cause the reduction of coupling efficiency, it has also become the technical application
Aspect critical issue urgently to be solved.A kind of typical optical interconnection module of the present invention exists to optical interconnection module as research object
After being completed, the heat of working environment locating for practical application is with vibration to the issuable shadow of offset at module alignment position
It rings.Using FInite Element, under the conditions of temperature change and vibration coupling, to optical interconnection module aligned position in cartesian coordinate
It is that three axial and relative angle generation offsets are analyzed, and are emulated according to offset data to coupling efficiency
It calculates, to improve efficiency coupling of the optical interconnection module under multiple physical field environment collective effect, completes welding material and structure
The finite element modeling of optical interconnection module when geometric shape parameter single factor test changes, and the coupling Simulation of multiple physical field has been carried out, and
The analysis optimization of aligned position offset analysis and coupling efficiency, that is, pass through ANSYS finite element analysis software simulation analysis
Then the offset of aligned position has carried out simulation analysis to coupling efficiency using ZEMAX software, and to analysis interpretation of result
After processing, using Design-Expert response surface analysis software and Matlab software to analytical factor to optical interconnection module
Coupling efficiency carries out the optimization analysis of reaction curved surface algorithm and genetic algorithm, to reach the coupling efficiency for improving optical interconnection module.
Genetic algorithm is to calculate one of mathematics global optimization approach, is very suitable to solve large-scale combinatorial optimization problem.Electronics
The layout of element belongs to travelling salesman (TSP) problem in Combinatorial Optimization, has scholar in recent years for genetic algorithm and is applied to the neck
In the research of domain, therefore, optimized using standard genetic algorithm available relatively good as a result, effect of optimization easy to accomplish.
Summary of the invention
It is an object of the invention to overcome the deficiencies in the prior art, and provide a kind of optimization optical interconnection module key position weldering
The method of coupling efficiency afterwards, this method have excellent robust performance, and calculating is relatively simple, bring pole for later period Parameters Optimal Design
Big convenient, the calculated result after optimization is ideal.
Realizing the technical solution of the object of the invention is:
A kind of optimization optical interconnection module key position postwelding coupling efficiency method, specifically comprises the following steps:
1) optical interconnection module finite element analysis model is established；
2) optical interconnection module finite element analysis model obtains optical interconnection module key position after reflow welding finite element analysis
The alignment offset amount at place；
3) coupling efficiency for obtaining optical interconnection module key position postwelding is calculated using ZEMAX；
4) influence factor for influencing coupling efficiency is established；
5) the parameter level value of influence factor is established；
6) the 32 groups of experiment samples needed using the center combination design modelling using BOX-Behnken；
7) functional relation of influence factor and coupling efficiency is obtained；
It 8) is to carry out variance analysis to gained functional relation；
9) correctness of gained functional relation is established；
10) initial population is generated using random fashion；
11) current evolutionary generation gen and adaptive optimal control angle value are obtained；
12) crossover operation is implemented to population respectively；
13) mutation operation is implemented to population respectively；
14) respectively population is implemented to evolve and is reversed；
15) two populations are calculated into fitness function value as a whole, and optimized individual is selected using optimum maintaining strategy；
16) it is rejudged after population recruitment, if gen value is less than 50 and num value is greater than 0, local catastrophe is implemented to population.
In step 1), the model includes that three layers of PCB, soldered ball, optical coupling element and imbedded fiber, soldered ball are located at phase
Between adjacent two layers of PCB, optical coupling element is located at the center of lower layer PCB, and imbedded fiber is located on the PCB of lower layer, upper layer
The size of PCB is 27 × 27 × 1.52mm；The size of middle layer PCB is 35 × 35 × 1.52mm；The size of lower layer PCB is 55 × 50
×1.52mm；Optical coupling element radius is 0.0625mm, length 2.76mm；Imbedded fiber radius is 0.0625mm, length
For 30mm；Pad radius is 0.3mm；Upper layer soldered ball volume is 0.2mm3, it is highly 0.52mm, spacing 1.5mm；Lower layer's soldered ball
Volume is 0.2mm3, it is highly 0.48mm, spacing 1.5mm.
In step 4), the influence factor is upper layer solder joint height H1, lower layer solder joint height H2, pad radius R, solder joint
Centre distance L and solder joint volume V.
In step 5), the number of levels of the parameter level value is 5, because prime number is 5.
It is the 32 groups of experiment samples needed using the center combination design modelling using BOX-Behnken in step 6)
This, wherein 26 groups are analysis factor, 6 groups are the zero point factor, i.e. parameter level combination is identical, are estimated for experimental error.
In step 10), the population scale is set as 40.
In step 11), the genetic algebra is set as 50.
A kind of optimization optical interconnection module key position postwelding coupling efficiency method provided by the invention, this method pass through less
Experiment number relatively accurately approach the functional relation between factor and target value in a certain range, and use structure
It shows, and Complex Response relationship can be intended by the selection to regression model in a certain range, there is excellent robust
Performance, calculating is relatively simple, brings great convenience for later period Parameters Optimal Design.
Detailed description of the invention
Fig. 1 is optical interconnection module basic model figure；
Fig. 2 is that the ZEMAX of basic model analyzes result figure；
Fig. 3 is regression equation Change in Mean figure after genetic algorithm optimization；
Fig. 4 is the variation diagram of regression equation optimal solution after genetic algorithm optimization；
The several picture that Fig. 5 is the ZEMAX of optimum combination analyzes result figure.
Specific embodiment
The present invention is further elaborated with reference to the accompanying drawings and examples, but is not limitation of the invention.
Embodiment:
A kind of optimization optical interconnection module key position postwelding coupling efficiency method, specifically comprises the following steps:
(1) optical interconnection module basic model is established, model basic size is as shown in table 1, and model is as shown in Figure 1；
(2) model is through obtaining optical interconnection module key position: centre of luminescence point A and optocoupler after reflow welding finite element analysis
The alignment offset amount closed at central point B is as shown in table 2；
(3) it is using the coupling efficiency that the several picture analytic function of ZEMAX obtains optical interconnection module key position postwelding
87.89%, analysis result figure is as shown in Figure 2；
(4) influence factor for influencing coupling efficiency is obtained are as follows: upper layer solder joint height, lower layer's solder joint height, pad radius, weldering
Dot center's distance and solder joint volume；5 level values are chosen to each factor respectively, factor level table is as shown in table 3；
(5) using the center combination design model for using BOX-Behnken, there are 32 groups of simulation model horizontal combinations, wherein
26 groups are analysis factor, and 6 groups are the zero point factor, i.e. parameter level combination is identical, are estimated for experimental error；32 groups of parameter combinations
The results are shown in Table 4；
(6) according to calculus knowledge, any function all can be by several polynomial pieces approximate representations, therefore are actually asking
It, always can be with polynomial regression come analytical calculation, due to setting herein regardless of relationship complexity between variable and result in topic
Meter variable be 5 and between variable and target functional relation be it is non-linear, in conjunction with the experiment sample number of table 4, select and be based on Taylor
The second order polynomial model of expansion:
It (A) include constant term α in formula0, linear termLinear crossing itemQuadratic termαi
For linear term coefficient；αijFor linear crossing term coefficient；αiiFor two-term coefficient；ε is random error；X is design variable；Y is mesh
Scale value；N is variable number.
(7) to combinations of factors and its secondary multiple regression fitting of result progress is tested in table 1, it is right to obtain coupling efficiency (Y)
Upper layer solder joint height (X1), lower layer solder joint height (X2), pad radius (X3), solder joint centre distance (X4) and solder joint volume (X5)
Quadratic polynomial regression equation are as follows:
(8) in order to ensure regression equation is credible, the conspicuousness for having carried out variance analysis and model to data in table 3 is verified,
Regression equation relevant evaluation index is obtained, the results are shown in Table 5；
(9) less than 0.0001, (generally less than 0.05 indicates that this is aobvious to the model " Preb > F " that response surface analysis obtains
Write), illustrate that response surface model regression effect is particularly significant；Regression equation coefficient (R-Squared) is 0.9979, shows recurrence side
Journey degree of fitting is very high；Regression equation regulation coefficient (Adi R-Squared-expression removes the fitting precision after not significant index)
It is 0.994, more accurately reflects that the fitting precision of equation is high；Regression equation predictive coefficient (Pred R-Squared) is
0.9505, illustrate that the prediction accuracy of equation is very high；Equation signal-to-noise ratio (Adeq Precision) is 71.319, illustrates recurrence side
Journey be disturbed factor influence it is small；The equation coefficient of variation (CV) is 0.068, illustrates that test operation is credible.Result above coefficient is all
Show the test result that formula (B) can be highly fitted in table 4, regression equation is accurately credible；
(10) appeal regression equation is optimized using genetic algorithm, the algorithm is true one group random first from domain
Initial solution, and then search for and lead the optimal or algorithm of objective function in range random true one group of initial solution first from domain, into
And search for the optimal or suboptimal solution of objective function in neck range；
The genetic algorithm optimization regression equation, step specific as follows:
Step a: initial population is generated using random fashion；
Step b: current evolutionary generation gen and adaptive optimal control angle value are obtained；
Step c: crossover operation is implemented to population respectively；
Step d: mutation operation is implemented to population respectively；
Step e: respectively population is implemented to evolve and is reversed；
Step f: population is calculated into fitness function value as a whole, and optimized individual is selected using optimum maintaining strategy；
Step g: rejudging after population recruitment, if gen value is less than 50 and num value is greater than 0, implements local calamity to population
Become, then return step b, otherwise direct return step b；The maximum genetic algebra of algorithm was set as 50 generations, and gen value is more than 50 ends
Only evolve.
It (11) is up to that target carries out parameter optimization with coupling efficiency by MATLAB GAs Toolbox；Problem mean value
It is as shown in Figure 3, Figure 4 with optimal solution variation.
(12) according to the value range for setting impact factor in appeal factor parameter list, optimum combination is obtained are as follows: upper layer weldering
Point height is 0.45mm, lower layer's solder joint height is 0.65mm, pad radius is 0.43mm, solder joint centre distance is 1.5mm and weldering
Point volume 0.43mm3, obtaining coupling efficiency value at this time is 98.13%.
(13) it is combined according to above-mentioned obtained final parameter, corresponding optical interconnection module simulation model is established, through reflow welding
Optical interconnection module key position: the alignment offset amount at centre of luminescence point A and optical coupling central point B is obtained after finite element analysis
As shown in table 6；It is 98.172% that coupling efficiency value, which is calculated, using the several picture analytic function of ZEMAX, as shown in figure 5,
It is with genetic algorithm predicted value very close, it was demonstrated that having for genetic algorithm optimization optical interconnection module key position postwelding coupling efficiency
Effect property.
1 model basic size of table
2 2080s key point A, B alignment offset of table
3 optical interconnection module structural parameters factor level table of table
4 32 groups of parameter combination results of table
5 response surface analysis result of table
6 optimal models key point A, B alignment offset amount of table
Claims (7)
1. a kind of optimization optical interconnection module key position postwelding coupling efficiency method, which is characterized in that specifically comprise the following steps:
1) optical interconnection module finite element analysis model is established；
2) optical interconnection module finite element analysis model obtains at optical interconnection module key position after reflow welding finite element analysis
Alignment offset amount；
3) coupling efficiency for obtaining optical interconnection module key position postwelding is calculated using ZEMAX；
4) influence factor for influencing coupling efficiency is established；
5) the parameter level value of influence factor is established；
6) the 32 groups of experiment samples needed using the center combination design modelling using BOX-Behnken；
7) functional relation of influence factor and coupling efficiency is obtained；
It 8) is to carry out variance analysis to gained functional relation；
9) correctness of gained functional relation is established；
10) initial population is generated using random fashion；
11) current evolutionary generation is obtainedgenWith adaptive optimal control angle value；
12) crossover operation is implemented to population respectively；
13) mutation operation is implemented to population respectively；
14) respectively population is implemented to evolve and is reversed；
15) two populations are calculated into fitness function value as a whole, and optimized individual is selected using optimum maintaining strategy；
16) it is rejudged after population recruitment, ifgenValue less than 50 andnumValue is greater than 0, then implements local catastrophe to population.
2. a kind of optimization optical interconnection module key position postwelding coupling efficiency method according to claim 1, feature exist
In in step 1), the model includes three layers of PCB, soldered ball, optical coupling element and imbedded fiber, and soldered ball is located at adjacent two
Between the PCB of layer, optical coupling element is located at the center of lower layer PCB, and imbedded fiber is located on the PCB of lower layer, upper layer PCB's
Having a size of 27 × 27 × 1.52mm；The size of middle layer PCB is 35 × 35 × 1.52mm；The size of lower layer PCB be 55 × 50 ×
1.52mm；Optical coupling element radius is 0.0625mm, length 2.76mm；Imbedded fiber radius is 0.0625mm, and length is
30mm；Pad radius is 0.3mm；Upper layer soldered ball volume is 0.2mm3, it is highly 0.52mm, spacing 1.5mm；Lower layer's soldered ball body
Product is 0.2mm3, it is highly 0.48mm, spacing 1.5mm.
3. a kind of optimization optical interconnection module key position postwelding coupling efficiency method according to claim 1, feature exist
In in step 4), the influence factor is upper layer solder joint height H1, lower layer solder joint height H2, pad radius R, solder joint center away from
From L and solder joint volume V.
4. a kind of optimization optical interconnection module key position postwelding coupling efficiency method according to claim 1, feature exist
In in step 5), the number of levels of the parameter level value is 5, because prime number is 5.
5. a kind of optimization optical interconnection module key position postwelding coupling efficiency method according to claim 1, feature exist
In, it is the 32 groups of experiment samples needed using the center combination design modelling using BOX-Behnken in step 6),
In 26 groups be analysis factor, 6 groups be the zero point factor, i.e., parameter level combination it is identical, for experimental error estimate.
6. a kind of optimization optical interconnection module key position postwelding coupling efficiency method according to claim 1, feature exist
In in step 10), the population scale is set as 40.
7. a kind of optimization optical interconnection module key position postwelding coupling efficiency method according to claim 1, feature exist
In in step 11), the genetic algebra is set as 50.
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Application publication date: 20190222 Assignee: Guilin Gaopu Electronic Technology Co.,Ltd. Assignor: GUILIN University OF ELECTRONIC TECHNOLOGY Contract record no.: X2022450000412 Denomination of invention: A method for optimizing the post weld coupling efficiency of key positions in optical interconnection modules Granted publication date: 20221118 License type: Common License Record date: 20221227 |
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