DSdsV2_2 Weibull_7:!aSignal Noise RatioDExperimentResponsep  .Signal Noise Ratio  ^|8@dd ~) =18X1Tahoma1Tahoma1Tahoma1Tahoma1Tahoma"$"#,##0_);\("$"#,##0\)!"$"#,##0_);[Red]\("$"#,##0\)""$"#,##0.00_);\("$"#,##0.00\)'""$"#,##0.00_);[Red]\("$"#,##0.00\)5*0_("$"* #,##0_);\("$"* #,##0\);_("$"* "-"_);_(@_),)'_(* #,##0_);\(* #,##0\);_(* "-"_);_(@_)=,8_("$"* #,##0.00_);\("$"* #,##0.00\);_("$"* "-"??_);_(@_)4+/_(* #,##0.00_);\(* #,##0.00\);_(* "-"??_);_(@_)                + ) , *  H   @   8@ 8 0   @ 0  x@@ x@ x  @  @   8@ 8 8 0@ 0 0 0 @ 0 0 x@@ x@ x  @ Sheet1 Sheet2 Sheet3   dMbP?_*+%&A Page &P&?'?(?)?"d??I@}F} F} F}I F}& F@@@@@@@@@ @ @ @@@@@@@@@@@@@@@@@ ANOVA Table!!!!!"Source of VariationDegrees of Freedom!Sum of Squares [Partial]Mean Squares [Partial]F RatioP ValueModel~ @]Fx[3@ q[@  A:Interference~@}8g@}8g @ - - B:Wall Thickness~@#@#? - - C:Insertion Depth~@镲L@L@ - - D:Percent Adhesive~@io@io? - - Residual~   Total~  @ ]Fx[3@ ; 2S = * R-sq = 100.0000% R-sq(adj) = 100.0000%lc* The following selected effects are aliased with other effects in the model and have been removed:AB, AC, AD, BC, BD, CD/Regression Information000001#$$$$$% &Term' Coefficient'Standard Error'Low CI'High CI'T Value(P Value#$$$$$%) Intercept*(\¥3@ *- *- *- *- +- )A[1]*&† *- *- *- *- +- )A[2]*= ףp=? *- *- *- *- +- )B[1]*7[ A *- *- *- *- +- )B[2]*HzG? *- *- *- *- +- )C[1]*6>W[ *- *- *- *- +- )C[2]*ףp= ? *- *- *- *- +- )D[1]*V_? *- *- *- *- +- ,D[2]-@a+տ -- -- -- -- .->dd&   dMbP?_*+%&A Page &P&?'?(?)?"d??@}F} F} F}I F}& F@@@@@@@@@ @ @ @@@@@@@@@@@@@@@@@ ANOVA Table!!!!!"Source of VariationDegrees of Freedom!Sum of Squares [Partial]Mean Squares [Partial]F RatioP ValueModel~ @x $(~??  A:Interference~@镲?w#? - - B:Wall Thickness~@_Q[?H}M? - - C:Insertion Depth~@&†?? - - D:Percent Adhesive~@Ǻ?Ǻ? - - Residual~   Total~  @ x $(~? ; 2S = * R-sq = 100.0000% R-sq(adj) = 100.0000%lc* The following selected effects are aliased with other effects in the model and have been removed:AB, AC, AD, BC, BD, CD/Regression Information000001#$$$$$% &Term' Coefficient'Standard Error'Low CI'High CI'T Value(P Value#$$$$$%) Intercept*8gDio? *- *- *- *- +- )A[1]*[ A *- *- *- *- +- )A[2]*{Gz *- *- *- *- +- )B[1]*n *- *- *- *- +- )B[2]*a2U0* *- *- *- *- +- )C[1]*:H? *- *- *- *- +- )C[2]*S㥛İ *- *- *- *- +- )D[1]*$(~k? *- *- *- *- +- ,D[2]-I +v? -- -- -- -- .->dd&   dMbP?_*+%&A Page &P&?'?(?)?"d??I@}F} F} F}I F}& F@@@@@@@@@ @ @ @@@@@@@@@@@@@@@@@ ANOVA Table!!!!!"Source of VariationDegrees of Freedom!Sum of Squares [Partial]Mean Squares [Partial]F RatioP ValueModel~ @ @x?  A:Interference~@㥛 ?r鷯? - - B:Wall Thickness~@{/L ?]Fx ? - - C:Insertion Depth~@sAO@;M O? - - D:Percent Adhesive~@&S?&S? - - Residual~   Total~  @  @ ; 2S = * R-sq = 100.0000% R-sq(adj) = 100.0000%lc* The following selected effects are aliased with other effects in the model and have been removed:AB, AC, AD, BC, BD, CD/Regression Information000001#$$$$$% &Term' Coefficient'Standard Error'Low CI'High CI'T Value(P Value#$$$$$%) Intercept*8gDiop9@ *- *- *- *- +- )A[1]*hs߿ *- *- *- *- +- )A[2]*~8gDi? *- *- *- *- +- )B[1]*Bfjۿ *- *- *- *- +- )B[2]*/$? *- *- *- *- +- )C[1]*7A` *- *- *- *- +- )C[2]*3? *- *- *- *- +- )D[1]*9#J? *- *- *- *- +- ,D[2]-~jt -- -- -- -- .->dd&  =8X1Tahoma1Tahoma1Tahoma1Tahoma1Tahoma"$"#,##0_);\("$"#,##0\)!"$"#,##0_);[Red]\("$"#,##0\)""$"#,##0.00_);\("$"#,##0.00\)'""$"#,##0.00_);[Red]\("$"#,##0.00\)5*0_("$"* #,##0_);\("$"* #,##0\);_("$"* "-"_);_(@_),)'_(* #,##0_);\(* #,##0\);_(* "-"_);_(@_)=,8_("$"* #,##0.00_);\("$"* #,##0.00\);_("$"* "-"??_);_(@_)4+/_(* #,##0.00_);\(* #,##0.00\);_(* "-"??_);_(@_)                + ) , *  H Sheet1 Sheet2 Sheet3   dMbP?_*+%&A Page &P&?'?(?)?"d??@}& F>dd&   dMbP?_*+%&A Page &P&?'?(?)?"d??@}& F>dd&   dMbP?_*+%&A Page &P&?'?(?)?"d??@}& F>dd&   GF@1@5@?d Main Effect*User Name Company 2/28/2008 11:28:10 AMv#ReliaSoft DOE++ - www.ReliaSoft.comMain Effect PlotFactor Data MeansColorColor = Size = X = Y =  Starts at:  Ends at:  Duration: ???*****#ReliaSoft DOE++ - www.ReliaSoft.comZ @@@@v@v@TahomaDBTahomaDB o_?_Fj?{Gz?LJ?gj+?o_?y):?&kC?333333?TahomaTahoma|Tahoma|TahomaDBTahomaDBTahomaDBTahomaDBTahomaDBTahomaDBTahomaDBTahomaDBTahomaDBTahoma|Z JIY MeanNon-Significant EffectsY Mean(Effect Points)Non-Significant EffectsY Mean Y' = Yd?Y MeanDistribution LineY Mean(Distribution Line)Distribution LineY Mean Y' = Yd?Y MeanA:Interference Mean Line Y Mean(A:Interference Mean Line)A:Interference Mean LineY Mean Y' = Yd?Y MeanB:Wall Thickness Mean Line"Y Mean(B:Wall Thickness Mean Line)B:Wall Thickness Mean LineY Mean Y' = Yd?Y MeanC:Insertion Depth Mean Line#Y Mean(C:Insertion Depth Mean Line)C:Insertion Depth Mean LineY Mean Y' = Yd?Y MeanD:Percent Adhesive Mean Line$Y Mean(D:Percent Adhesive Mean Line)D:Percent Adhesive Mean LineY Mean Y' = Yd?  %$Y MeanA:Interference Mean Line Y Mean(A:Interference Mean Line)A:Interference Mean LineY Mean Y' = Yd??2@@4@@X%3@Y MeanB:Wall Thickness Mean Line"Y Mean(B:Wall Thickness Mean Line)B:Wall Thickness Mean LineY Mean Y' = Yd??2@@04@@%X3@Y MeanC:Insertion Depth Mean Line#Y Mean(C:Insertion Depth Mean Line)C:Insertion Depth Mean LineY Mean Y' = Yd??Z2@@Gz44@@#""""b4@Y MeanD:Percent Adhesive Mean Line$Y Mean(D:Percent Adhesive Mean Line)D:Percent Adhesive Mean LineY Mean Y' = Yd??Y%x4@@Q3@@wwwww'3@   ????{Gz?{Gz?{Gz??333333?TahomaTahoma|Tahoma|TahomaDBTahomaDBTahomaDBTahomaDBTahomaDBTahomaDBTahomaDBTahomaDBTahomatTahoma|Z  @@@@v@v@TahomaDBTahomaDB   &ƚK p*  '' & MDCR-O. &MDCR-{  --'' &MDCR-T1;0;-1;w &MDCR-F-  &MDCR-T4;0;0; &MDCR-FRR  &MDCR-T4;0;0; &MDCR-F  &MDCR-T4;0;0; &MDCR-F  &MDCR-T4;0;0; &MDCR-F   &MDCR-T4;0;0; &MDCR-F   &MDCR-T4;0;0; &MDCR-Fs s  &MDCR-T4;0;0; &MDCR-F  &MDCR-T4;0;0; &MDCR-F  &MDCR-T4;0;0; &MDCR-F  &MDCR-T4;0;0; &MDCR-F99  &MDCR-T4;0;0; &MDCR-F  &MDCR-T4;0;0; &MDCR-FJJ  &MDCR-T4;0;0; &MDCR-F  &MDCR-T4;0;0; &MDCR-F  &MDCR-T4;0;0; &MDCR-FZZ  &MDCR-T4;0;0; &MDCR-F  &MDCR-T4;0;0; &MDCR-Fk k  &MDCR-T4;0;0; &MDCR-F!!  &MDCR-T4;0;0; &MDCR-F # #  &MDCR-T4;0;0; &MDCR-F \"Tahoma# ww 0wf-!#ReliaSoft DOE++ - www.ReliaSoft.com2 &MDCR-T3;0;0; &MDCR-F &MDCR-S-' &MDCR-T2;0;0; &MDCR-F "Tahoma tww 0wf-!Main Effect Plotm &MDCR-T3;0;0; &MDCR-F &MDCR-S >"Tahoma# ww 0wf- !Factor%  &MDCR-T3;0;0; &MDCR-F &MDCR-S>"Tahoma vww 0wf- ! Data Means &MDCR-T3;0;0; &MDCR-F &MDCR-S-$ &MDCR-T4;0;0; &MDCR-F\"Tahoma# ww 0wf- !0.000R$# &MDCR-T5;0;0; &MDCR-F &MDCR-S$   &MDCR-T4;0;0; &MDCR-F !4.000R$u &MDCR-T5;0;0; &MDCR-F &MDCR-S-{$ &MDCR-T4;0;0; &MDCR-F{$ &MDCR-T4;0;0; &MDCR-F{$ &MDCR-T4;0;0; &MDCR-F{$ &MDCR-T4;0;0; &MDCR-F-$ &MDCR-T4;0;0; &MDCR-F !0.800R$f &MDCR-T5;0;0; &MDCR-F &MDCR-S-{$  &MDCR-T4;0;0; &MDCR-F{$  &MDCR-T4;0;0; &MDCR-F{$& & &MDCR-T4;0;0; &MDCR-F{$3 3 &MDCR-T4;0;0; &MDCR-F-$AA &MDCR-T4;0;0; &MDCR-F !1.600R$ &MDCR-T5;0;0; &MDCR-F &MDCR-S-{$OO &MDCR-T4;0;0; &MDCR-F{$\\ &MDCR-T4;0;0; &MDCR-F{$jj &MDCR-T4;0;0; &MDCR-F{$ww &MDCR-T4;0;0; &MDCR-F-$ &MDCR-T4;0;0; &MDCR-F !2.400R$ &MDCR-T5;0;0; &MDCR-F &MDCR-S-{$ &MDCR-T4;0;0; &MDCR-F{$ &MDCR-T4;0;0; &MDCR-F{$ &MDCR-T4;0;0; &MDCR-F{$ &MDCR-T4;0;0; &MDCR-F-$ &MDCR-T4;0;0; &MDCR-F !3.200R$1 &MDCR-T5;0;0; &MDCR-F &MDCR-S-{$ &MDCR-T4;0;0; &MDCR-F{$ &MDCR-T4;0;0; &MDCR-F{$ &MDCR-T4;0;0; &MDCR-F{$ &MDCR-T4;0;0; &MDCR-F-{${$  &MDCR-T4;0;0; &MDCR-F !17.000$ &MDCR-T5;0;0; &MDCR-F &MDCR-S  &MDCR-T4;0;0; &MDCR-F !21.0000 &MDCR-T5;0;0; &MDCR-F &MDCR-S-  &MDCR-T4;0;0; &MDCR-F !17.800I &MDCR-T5;0;0; &MDCR-F &MDCR-S  &MDCR-T4;0;0; &MDCR-F !18.600 &MDCR-T5;0;0; &MDCR-F &MDCR-S))  &MDCR-T4;0;0; &MDCR-F !19.400 &MDCR-T5;0;0; &MDCR-F &MDCR-Sb b  &MDCR-T4;0;0; &MDCR-F !20.200 &MDCR-T5;0;0; &MDCR-F &MDCR-S- %N pw&.MDCR-T&8;5;0;Y Mean(A:Interference Mean Line) &MDCR-F-- > (&EMDCR-T=8;5;1;Y Mean(A:Interference Mean Line) X = 1.000 Y = 18.658@ &MDCR-F"(&EMDCR-T=8;5;2;Y Mean(A:Interference Mean Line) X = 2.000 Y = 20.725@ &MDCR-FE(&EMDCR-T=8;5;3;Y Mean(A:Interference Mean Line) X = 3.000 Y = 19.559@ &MDCR-F- %N } w &0MDCR-T(8;6;0;Y Mean(B:Wall Thickness Mean Line) &MDCR-F-- ~ )&GMDCR-T?8;6;1;Y Mean(B:Wall Thickness Mean Line) X = 1.000 Y = 18.983 &MDCR-F K )&GMDCR-T?8;6;2;Y Mean(B:Wall Thickness Mean Line) X = 2.000 Y = 20.188 &MDCR-F5  E)&GMDCR-T?8;6;3;Y Mean(B:Wall Thickness Mean Line) X = 3.000 Y = 19.772 &MDCR-F- %N W w&1MDCR-T)8;7;0;Y Mean(C:Insertion Depth Mean Line) &MDCR-F--6  )&HMDCR-T@8;7;1;Y Mean(C:Insertion Depth Mean Line) X = 1.000 Y = 18.354 &MDCR-F % )&HMDCR-T@8;7;2;Y Mean(C:Insertion Depth Mean Line) X = 2.000 Y = 20.205 &MDCR-FE)&HMDCR-T@8;7;3;Y Mean(C:Insertion Depth Mean Line) X = 3.000 Y = 20.383 &MDCR-F- %N w=&2MDCR-T*8;8;0;Y Mean(D:Percent Adhesive Mean Line) &MDCR-F--G  *&IMDCR-TA8;8;1;Y Mean(D:Percent Adhesive Mean Line) X = 1.000 Y = 20.472 &MDCR-F*&IMDCR-TA8;8;2;Y Mean(D:Percent Adhesive Mean Line) X = 2.000 Y = 19.317 &MDCR-Fo E*&IMDCR-TA8;8;3;Y Mean(D:Percent Adhesive Mean Line) X = 3.000 Y = 19.154 &MDCR-F ! Main Effect &MDCR-T6;0;0; &MDCR-F &MDCR-S& &MDCR-T6;0;0; &MDCR-F& &MDCR-T6;0;0; &MDCR-F  !Y MeanD &MDCR-T7;5;0; &MDCR-F &MDCR-S !Y' = Y &MDCR-T7;5;0; &MDCR-F &MDCR-S -Ej &MDCR-T7;5;0; &MDCR-F- &MDCR-T7;5;0; &MDCR-F!A:Interference Mean Line &MDCR-T7;5;0; &MDCR-F &MDCR-S--j &MDCR-T7;6;0; &MDCR-F- &MDCR-T7;6;0; &MDCR-F!B:Wall Thickness Mean LineY &MDCR-T7;6;0; &MDCR-F &MDCR-S--jD &MDCR-T7;7;0; &MDCR-F-vv &MDCR-T7;7;0; &MDCR-F!C:Insertion Depth Mean Line  &MDCR-T7;7;0; &MDCR-F &MDCR-S--Zj &MDCR-T7;8;0; &MDCR-F-(( &MDCR-T7;8;0; &MDCR-F!D:Percent Adhesive Mean Line &MDCR-T7;8;0; &MDCR-F &MDCR-S ! User Name! &MDCR-T6;0;0; &MDCR-F &MDCR-S !CompanySg" &MDCR-T6;0;0; &MDCR-F &MDCR-S ! 2/28/2008# &MDCR-T6;0;0; &MDCR-F &MDCR-S ! 11:28:10 AM;# &MDCR-T6;0;0; &MDCR-F &MDCR-S-{${$& &MDCR-T6;0;0; &MDCR-F &MDCR-}l--"Systemf !-Y MeanDExperimentResponsep  .Y Mean  fffff1@l3@gffff3@4@433336@93@L3@P2@q= ף5@   ?????????????????????????????????   qq?qq?qqqqqq?qq?qqqqqq?qq?qqqqqq?qq?qqqqqq?  fffff1@l3@gffff3@4@433336@93@L3@P2@q= ף5@  ?????????(\¥3@ ?    I        A        B        C        D        AB        AC        AD        BC        BD        CD                  @Model y[3@ @A:Interferencea@ @B:Wall ThicknessQ+@ @C:Insertion DepthL@ @D:Percent Adhesive0*@  Residual   (\¥3@P.5P.5P.5 InterceptP.5P.5P.5  t@ t@P.5P.5A[1]P.5P.5P.5 7 ףp=?7 ףp=@P.5P.5A[2]P.5P.5P.5 O t@O t@P.5P.5B[1]P.5P.5P.5 RzG?RzG?P.5P.5B[2]P.5P.5P.5 K~K~P.5P.5C[1]P.5P.5P.5 ңp= ?ңp= ?P.5P.5C[2]P.5P.5P.5 g,Œ_?g,Œ_?P.5P.5D[1]P.5P.5P.5 2Œ_,տ2Œ_,P.5P.5D[2]P.5P.5P.5                      (\¥3@ t@7 ףp=?O t@RzG?K~ңp= ?g,Œ_?2Œ_,տ   ?????????????????????????????????????????????????     P.5      Y StdDExperimentResponsep  .Y Std  k ,}?6f?o?]/?r?"!|? ?AoZ"?%Wk?   ?????????????????????????????????   qq?qq?qqqqqq?qq?qqqqqq?qq?qqqqqq?qq?qqqqqq?  k ,}?6f?o?]/?r?"!|? ?AoZ"?%Wk?  ?????????l3 o? @?    I        A        B        C        D        AB        AC        AD        BC        BD        CD                  @ModelQy ? @A:InterferenceRC? @B:Wall ThicknessY[? @C:Insertion Depth1ӱ? @D:Percent Adhesive 8 ?  Residual   l3 o?P.5P.5P.5 InterceptP.5P.5P.5 +E|+E|ÿP.5P.5A[1]P.5P.5P.5 D`{D`{ĿP.5P.5A[2]P.5P.5P.5 ;;P.5P.5B[1]P.5P.5P.5 @48@48P.5P.5B[2]P.5P.5P.5 #?#?P.5P.5C[1]P.5P.5P.5 >fH\ð>fH\P.5P.5C[2]P.5P.5P.5 'Wk?'Wk?P.5P.5D[1]P.5P.5P.5 VTv?VT?P.5P.5D[2]P.5P.5P.5                      l3 o?+E|D`{;@48#?>fH\ð'Wk?VTv?   ?????????????????????????????????????????????????     P.5      aAa_MainProject ~Taguchi Robust Design.docp-C:\DOCUME~1\MCAROL~1\LOCALS~1\Temp\RSF848.tmpࡱ> #` bjbjmm 4lc3jjj t  0202028h2t2 Bj33:333"7"7"7kBmBmBmBmBmBmB$VDhFB "766@"7"7B33Bl<l<l<"723 3kBl<"7kBl<l<K?  ?33 Ф_7z0209c?@B0Bk?,>G :>G?>G ?"7"7l<"7"7"7"7"7BB;p"7"7"7B"7"7"7"7 L% L%  Example Taguchi robust design is used to find the appropriate control factor levels in the design to make the system less sensitive to variations in uncontrollable noise factors (i.e. to make the system robust). Consider an experiment that seeks to determine a method to assemble an elastomeric connector to a nylon tube while delivering the requisite pull-off performance suitable for an automotive engineering application.* The primary design objective is to maximize the pull-off force, while secondary considerations are to minimize assembly effort and reduce the cost of the connector and assembly. The controllable and noise factors are: Controllable FactorsNameLevel 1Level 2Level 3AInterferenceLowMediumHighBWall thicknessThinMediumThickCInsertion depthShallowMediumDeepDPercent adhesiveLowMediumHigh Noise FactorsNameUnitLevel -Level +ETimehour24120FTemperatureF72150GHumidity25%75% For the inner (control) array, Taguchi OA L9 (3^4) is used. For the outer (noise) array, a two level full factorial design is applied. The measured response is the pull-off force. Design the Experiment The design matrix and the data are given in the Taguchi Robust Design Example Folio. You can also reproduce the design by the following steps. Step 1: Add a new Standard Folio by selecting Add Folio from the Project menu. Step 2: In the first step of the Design Wizard, select Taguchi Robust Design then click Next.  Step 3: In the second step of the Design Wizard, select Taguchi OA Factorial Design then click Next.  Step 4: In the third step of the Design Wizard, select Single Level Factor Design, 3 Level Design and L9(3^4).  Step 5: Click the Factor Properties button and, in the Factor Properties window, use the settings shown next then click OK.  Step 6: Click Next and, in the fourth step of the Design Wizard, use the following settings for the outer array.  Step 7: Click the Factor Properties button and, in the Factor Properties window, use the settings shown next then click OK.  Step 8: Click Next to view the design summary, then click Finish to create the Standard Folio containing the two level full factorial design. Alternatively, you can skip the design review step by clicking Finish in the fourth step of the Design Wizard. The run order is randomly generated when you create the design. It may be different from the Folio in the example file. You can conduct the experiment according to the run order in the design matrix and record all the response values. Analysis and Results The design and the data are provided in the Taguchi Robust Design Example Folio. You can proceed using this Folio or you can copy the data to the Folio you just created. Make sure you sort both Folios by the Standard Order column before you copy and paste the data: select Standard Order in the Sort By area in the Control Panel to sort the Data Sheet by the Standard Order column. Once the data set has been entered in the Data Sheet, you can analyze it. Step 1: Double-click the Taguchi Robust Design Example Folio to open it. The Design tab will be displayed. Step 2: In the Control Panel, select Larger from the Signal/Noise Ratio drop-down. Step 3: On the Options page of the Control Panel, select to use Individual Terms for the Y Mean response, which is currently selected in the Response drop-down. Select the Y Std response from the Response drop-down and select to use Individual Terms for it. Do the same for the Signal Noise Ratio response. Step 4: Return to the Main page of the Control Panel and click the Calculate icon. Three responsesY Mean, Y Std and Signal Noise Ratioare automatically calculated and are used as the responses in the analysis. The ANOVA table and the Regression Information table for the model are provided for each response on the Analysis tab, which is added to the Folio upon calculation. Note that the logarithmic transformation is automatically applied to the Y Std response. To view the transformation, you can click the Transformation icon.  In robust design, you can use the effect plots to find proper factor settings to meet both mean and standard deviation requirements for the response. Step 5: Click the Plot icon to add the Plot tab to the Folio. Step 6: Select Main Effects from the Plot Type drop-down in the Control Panel. In the Display Settings area of the Control Panel, select Data Means from the drop-down. The main effect plot for the Y Mean (pull-off force) response is shown next.  Step 7: To view the main effect plot for the Y Std response, select Y Std from the Response drop-down in the Control Panel.  Step 8: To view the main effect plot for the Signal Noise Ratio response, select Signal Noise Ratio from the Response drop-down in the Control Panel.  Conclusions Since the goal is to maximize both signal-to-noise ratio and the pull-off force, some trade-off may need to be made in the selecting of factor settings. Examining the main effect plots for Y Mean and Signal Noise Ratio shows that the medium level for A is clearly the best choice for maximizing signal-to-noise ratio (robustness) and the average pull-off force (Y Mean). It also has a relatively low standard deviation value. For the wall thickness, B, the medium and high level are slightly better than the low level for signal-to-noise ratio; however, the medium is preferred to high level in order to maximize the average pull-off force. From the main effect plot, the better settings for factors C and D can also be determined. In the final analysis, the best settings to maximize signal-to-noise ratio are A (medium), B (medium), C (deep) and D (low), based on the experimental results for maximizing pull-off force. * G. Taguchi, The Taguchi Approach to Parameter Design, Quality Progress, Dec. 1987, pp. 19-26.      HYPERLINK "http://www.reliasoft.com/Weibull/weibull7.htm"  Page  PAGE 6 of  NUMPAGES 8 2008 ReliaSoft Corporation. ALL RIGHTS RESERVED  "' & m^I^(h73h\aCJOJQJ^JaJnHtHh73h\aCJaJnHtH+h73h\a5CJOJQJ^JaJnHtHhc0JOJQJ^JhchuOJQJ^Jhch}MOJQJ^Jhnh\a6OJQJ^JhnOJQJ^Jhch\aOJQJ^Jhw,hihw5B* CJOJQJ^JaJph+,hih/5B* CJOJQJ^JaJph+  a b $$Ifa$gdAgd\agdwgd(A + $$Ifa$gdAkd$$IfTlrI I &X&@&&&0644 la]p2ytAT $$Ifa$gdA + $$Ifa$gdAkd$$IfTlrI I &X&@&&&0644 la]p2ytAT  $$Ifa$gdA   ( ) L M N v w x  @ A n o p ³uuukaTkhchu~OJQJ^Jhu~OJQJ^Jh\aOJQJ^JhoOJQJ^Jhch\aOJQJ^J(hwAh\aCJOJQJ^JaJnHtH"hICJOJQJ^JaJnHtHhwAh\aCJaJnHtH+hwAh\a5CJOJQJ^JaJnHtHh\ah73h\aCJaJnHtH(h73h\aCJOJQJ^JaJnHtH    + $$Ifa$gdAkd $$IfTlrI I &X&@&&&0644 la]p2ytAT  # ( $$Ifa$gdA( ) + < + $$Ifa$gdAkd$$IfTlrI I &X&@&&&0644 la]p2ytAT< @ G L $$Ifa$gdAL M N +&gd\akd$$IfTlrI I &X&@&&&0644 la]p2ytATN \ a f n v $$Ifa$gdAv w y ~ + $$Ifa$gdAkd$$IfTlrq q1&&@&&&0644 la]p2ytAT~ $$Ifa$gdA + $$Ifa$gdAkd$$$IfTlrq q1&&@&&&0644 la]p2ytAT $$Ifa$gdA + $$Ifa$gdAkd*$$IfTlrq q1&&@&&&0644 la]p2ytAT $$Ifa$gdA A B +&&&gd\akd0$$IfTlrq q1&&@&&&0644 la]p2ytATB o p   g h /12 "#$a$gd9$a$gdogdo$a$gds,/gds,/gd\ap v      F O Y ` f h i n o p q Ÿ܏܏ńyn܏cj6 hORhoUho5OJQJ^Jhs,/6OJQJ^Jho6OJQJ^JhGho5OJQJ^Jhohs,/OJQJ^Jhlhs,/6OJQJ^Jh6Vhs,/OJQJ^Jhs,/OJQJ^Jh[5*hoOJQJ^JhoOJQJ^Jhs,/5OJQJ^Jh_<hs,/5OJQJ^J&  )-./0289:hiȺӺꡔꊀrdWdLHhs,/jhORhoUh}h}OJQJ^Jh}hs,/5OJQJ^Jhr3hr35OJQJ^Jhr3OJQJ^Jh}OJQJ^Jh}hs,/OJQJ^Jhcxhs,/6OJQJ^Jj_~hORhoUhGho5OJQJ^Jho5OJQJ^JhGhoOJQJ^JhoOJQJ^Jhs,/OJQJ^Jhs,/6OJQJ^J !#$*,26:dùàÕÇ}ùùpcVh9hs,/OJQJ^Jj2QhORh}6Uhs,/hs,/OJQJ^JhfRfOJQJ^Jh}hs,/5OJQJ^Jh}6OJQJ^JjhORh}UhGh}5OJQJ^Jh}OJQJ^Jhs,/OJQJ^Jh}hs,/OJQJ^Jhs,/6OJQJ^Jhcxhs,/6OJQJ^Jhcxhs,/OJQJ^J%)QW>BC`b#)ĺzi\O\\h9h9OJQJ^Jh#-h9OJQJ^J h#-h9OJQJ^JnHtHh9OJQJ^JnHtHh9OJQJ^JnHo(tHh_<hs,/5OJQJ^Jhs,/5OJQJ^JhfRfOJQJ^Jhs,/OJQJ^Jh]yhs,/6OJQJ^Jhs,/6OJQJ^JjӓhORh9UhGh95OJQJ^Jh9OJQJ^JQR./UV$a$gdlgd+gdqgd6gds,/gd9)7?FRXY[x~̿ڥڀsi[QCQQhK:hd5OJQJ^JhdOJQJ^Jh9hd5OJQJ^Jhs,/OJQJ^JhxVzhs,/OJQJ^JhxVzhs,/6OJQJ^Jh9h9OJQJ^Jh OJQJ^JhoUh9OJQJ^JhzG/h9OJQJ^JhxVzh9OJQJ^JhxVzh96OJQJ^Jh9OJQJ^Jh#-h9OJQJ^Jh#-h95OJQJ^J4<GHSXks'./>Bchɻɻɱɻɻɻɣ֖{mcYcYcYh+OJQJ^JhQOJQJ^JhoUhq5OJQJ^JhxVzhqOJQJ^JhxVzhq6OJQJ^Jhq<hqOJQJ^JhJ? h65OJQJ^Jh6OJQJ^Jh6h65OJQJ^Jh6h6OJQJ^JhqOJQJ^Jhq6OJQJ^Jh96OJQJ^Jhs,/OJQJ^J"UVABPQYZؿش윑vhh#-h+6OJQJ^Jh%!h+5OJQJ^JhxVzh+OJQJ^Jhw&6OJQJ^JhxVzh+6OJQJ^JhpHOJQJ^JhpH6OJQJ^JjhORh+Uh@hl5OJQJ^JhlOJQJ^Jhs,/OJQJ^Jh+OJQJ^JhQOJQJ^J%U_t ABCDIJȾȴȋ}rdS}rdIhOJQJ^J!jh0 h0 OJQJU^Jh2$h2$5OJQJ^Jhw&6OJQJ^Jh2$h2$6OJQJ^Jh2$6OJQJ^Jh0 hpHOJQJ^J!jh0 h0 OJQJU^JhpHOJQJ^Jhu~OJQJ^Jh2$OJQJ^Jh0 h0 5OJQJ^Jh0 OJQJ^Jh+OJQJ^Jh2$5OJQJ^JACD56X $$dNa$$a$gd\agds,/gd2$$a$gdpH :?IQ%2QZ\rt˽xkhchl'OJQJ^Jhch2$OJQJ^JhpHOJQJ^Jhch\aOJQJ^Jh2$OJQJ^Jhu~OJQJ^Jhchu~OJQJ^Jh_<hs,/5OJQJ^Jhs,/5OJQJ^JhpH5OJQJ^Jh0 hpHOJQJ^J!jKh0 h0 OJQJU^J*  !"-.:;@AžŲva(jhOTB*CJOJQJUaJph3fjh^AUmHnHujhxHUmHnHu.j,#h  # A"`bt>>'&zq?cnstz nkt>>'&zq?cnPNG  IHDRl㮻sRGB pHYs+sIDATx^ |.oBKD(*o*Xh%VjV[VEZhBTTA bk#V@1! DE9s,}{m~3:E#4,HH3\B߱ډ7$?͋8s?1Ϭ_-jv"O^pWf;ǓCrߏl=!   XH$*[ %9(wo\77~pI7s[edgffvv "֖Ymė2d7ٞND3P4A~ -IG0lw'+7/H.y:"39GEv/- QU @@ .Շh/I $.Fc+.2 c3֝ٺVHAzSQ UqPAISiyz+ aǥRa4DPR2nGy%Kf5}UreF~ifl"Cen yOzifK5(jժuAaP@@ )ԓgY\U$2FI%qD&2ȻLo|*JE3M_L -@@ (sSȃ렒<AǞsd/8nDsjٞ𱹠էΘF>uEj tW|TO"FudeD\O?٣^[W\\0>cN&+.|sRCM%Z a0@*P<剣 JV#k{(4(8#w =>Q%'uS0$u#1MtF5jNR:V>J ZSLLZX QST}Daϑ oxh.'+*C>;QCN8iEmmmX4񻓮vًZc,$@bAt۽xa߫}IDVT FDd-mMm~;oA}J9N A@AePNeAtX:gHKwG$px.yesl{-_;D9='pћ,)1Y~hm6Jd]Ȫ~r e9RJt^8~v\)vE7BMvvp*(H@qXvxrO=Wdpy]uVϞ=Ȟ롘]Aðףbܱ\s]BI  I ФV2ݖUקwQ>E#{aQ!M[.:;"F"qiHϦ  FD~c[\.Jw5ӚFpr]~Yl]޽z*U/冩?lt?ѩ'/*8 璵ξdmtrNNY@gFfvvv/ߣWxf񼣳;D;;:"'N;iȠ&ܻA@@;w4"_uÙ$Nf`:sss{(UPУGA~y=r<;+vuvv;;]]|]G Q@@"@VȰnF߹ɞkܼO^FFV(DѮ@G:B]Q{/!  B"hgg(%M# )p@LsJOx|ĴG|痏B3{~zrܼ$ J4Z"є$$:A@@@sE>d< %$vPGdP(o3IFFSG܄8O ù3#!+P= ybAtUq$sH&z( @@B v(u:KAI3F2K#$|P%|481/71@j@@",-ly`i}T?2Z䁨'"CPd]{ts@׈׷u(  (':}F&-oA n{ԡ,3KNI#H9B2i?ȔnqLվc.۷(  vjuD`iIN)P IFI)4wS)}•_(W7;;+E@@@uM Dlǎ{os2I>JiJJ!O8<_bJMRYtW>\rc23ȳRQ@@Pm:x&ݻw߸ĒQRz~"B 3$ "   `2G@]]ALpp8;';?/Lٕddyt*%A@@ u]eaٺAT@?@h[H@0 @@D"f $d&@@ Inٿ$3A@@syIA@@ܐ(+:46۩eA@@"cn>"M(  `@L3Qrb*gTcC!E$)$[NLIT5G츊   ,Q2hb63QS|bjZ@@@>8?tɨv`htcoҧol -F$Zp4rk_`U:(G1)  ,RX`w&h$"! MnSA@ = D A@R@fJ~ d)Ӕp@@ Qcm/!-$   Fh?4$d^@@  Mƀ)  Es`-@@&@S@@ B{ry kA@@AD U  Esӫ-:@@ҋ2jox    LH/Dӫ-LAP  ^W{[ 0-E6:i<Tb J% EDcm9oX>WTGlh#> Ia뻨rLh"NRz Z?i aZkZ\DY^fu̒Z@d=@@׆kFvqG|J^~uZ/^jarz ?)k!8gfJf5lJ&0w\u[jD_ xtq%+vQ HT:)"44*O4itz4ҌA(Qr$=P@R<Dpsn ޚ^JgQ8 0 ؎QͺQDZJsb:% qB phΕB=SVsgΚ8J nD"ʬ>*{jywP'T@@Mۦ  v sb]Q@@Jh\rd&|E ;l[-Q@@L4,I{8@@@ L4Q'@J@&'@@Aă:H ܰȖ8?P9wOַ5 8e64ǼVK6+7 bQc yR=z,Y8@Q_~yyyJ;-ժU-|a H=_qxr l۵kW(ڹuIgϞ[ ]-Ā@[hiiٲeK$uvb""Ot6]XX•٩Z`#΍񝝝d87h1J57(?;?x`Jk5.;5TVxZRu"ٹ]m]!p}Ù= >ٹ'oQr$%14fl5Ma'D@&Do=0`YNtb:r ad(jTcթ4[Vi*OA@Re =DK,Wq6ҭ[z?Wdؓ$Yƥ>c di_d +hy@@ߊEXHVk!{5gM5Sco j!Du=эkyiDTY{@@ ♨hT[A@vn?kywKA=Q'`@@H\A=Ѥiv   D{N41t@Z,(/^O+xucAm}A^AiTgY1N}'[L%cY1)#T lc6O,8LNOG>o+^Zz̚T2oF™egyEmmcù=';r 999 zǣGG3}Qh,c\ڷ ĦoD?"Vo[hvy3JgriN~HkvKZ.!s'okk }U6K`]P-9AA>2[˝R^|4g-̖͖fNUy*3'UץU Z+t:y\1.P ˛Q ЊX 1zWܠ,Z^Ali!Uc Bj6RsPn*CHNG8 3$^k*Fˀ \-cVKa5u71^iFTY#]H͔W)u{aR2ܜ,Y}OT- ::ra|!Pakg^M1lzU(k#W"N* 5nGNauզ&)TLq0ָX"Ds Q NS2 % KѮvC2 THTEo}~iъH>JROz$0WZ^+/+ GD r22d'L8O':`wӼJ,OF5of՚uqAGb=.w6|rzaS̠?1enD%;$L7˳{?F;u.%B5 &|6Ͳjbe@R-i耬Bid֫BjyAj*c*`j^T ;Shٲ{,*M^A~^9;o) >>"K(wjɾ}ƍ_Yÿo{vkwvCfu  A3gM[aD2(p7yW:d,o|C*VO.=v$ŕe%j̀DU/f}45MMMi),,0`YouN .(D\zM!A(*aɣ8• ,+H_>}vn#}>6t#j7qh sX0Es,|sRYʛ7C-e5BaiUmB }](  z 2#ù{Eւ( @@pnrkA@@ h=   `M(  Q+@ +.)Јp@@ >0@@ hD  D#>zw1EZjkײJ2-m}*ذY_-ԯ(9>eZbi]sUoZ  @L Q zY=pQ'h~|ϕv[DWZe {X}=>0^lտo/MvlCΉٳgkkkVo+0_P;@|>յyC.Gsgؤ W`WlVEw#MjuC@Ҋ@[L=ˏ~e3%z\6ui߰~GAbURVTJA@  'mZ`|E2Qz8k̏o9ğ,Q cH9B @R@6VgIvg3h") 9^uªH5F R]_BE]AEJg+Ns$$;-@'A;||TD7~VICL4z͠gêbSfH1RDi6=٣@득ޱG/?Ks߽**ִ1n )K~9dOOO z@@ % $%-#1ޑ7oMb)w b&UqUWxֽ<ܴ5m@;>[u4nA:؃l<çR}5sAQM:saE햪s$T@j8bQ+\sRZgٿ" ,Cp8=nۋG~0`"sΫ?/~8[g2n;++q齃ϘYlb{x2Z"  V,Z 6l%ѱw~;ٕ*GЦ#1jd]\#w~m)&ip@'\ z!<8ܤP6HH۽277R$`ū=z , a3@@Ҝ@|2@ݣM﮹.╳'&]NI˾ҵieӼ>@+.mM*[O|}ſ}&8X  -ʛCso"sq,o 3/;D)DPtV+wun,/+(*ݧ~Ū!o:ț*t%1z e*c P,GW%͖5 _@2.@) -%@;ED%%vI%f-Y6{FU~2 O69=Ft/w֭$*dY+wk; £SO;2_;%J!#PA#UŮϿ” 9X2CS%r晊" N^(%M9+@"h=wތ)Y\ R@Rm}5RmU;îh>g$K$/';(3Qbp":xQGCg\ @T 8gSV9kSMCFq|SK,ҒҲIҲ*OeU`椲ʺ@SvS5z3HڹD2K7fH&n;YzGK QQhz3*dmB k ʠ.ͻcSJw뚥L$ƺIX8U׫.NєcPgE'Ww-v썦}c[TѠ\q lՖr/S34 ]K ]ŪalS oh+=uIߔxRet"N7SZ\I~LV퉆UP*[==\BWV EۗgeS}w T"M>QӕܧJXS@M1BAz⺊zSMw D_NT #i:tH2S {>n݀dsĠ+<2ڔ*~K4:sAj4<2Ko}~iъH4i0WZ^[8l7'`*f87$IC2yzMk9_ 9vdD"(9Bu'rt君wU75{IMU,ݙj'5#c|㢸1,Lq~I};h!5QcUey1*d6*jri,~gy$w%;$ T*/jk*fU&!ʫk疞sڹ#f^9`h&َ6%6k9ꎁ%.[5ժ%n;nUR&! ̓y7jI)~k 8_@@ӻCg dG2Q 9oYՁ95 Jhmy&*/'O kqdd*Y'G J/wF#7\Ti\㚱f;)iSvJH>h<\sh:Bq%qDLFI$SjKC+1ޢ@ 0o3Q XmdٿdK'TGPb۫l ӳ58y2mzZຠЦYVm+TNnZ%Sz[i9c6g6)"iЋrRM@SL=zK}Rs0=gUŸwݏ1,QdIlSǒgH*$?yDK#9roMGe#~ҒT˴Dë|דu`=xv Kfg+Iki%I5I "IG K44 ŭhJ"VJ%j ,&-[g9;kJIޙSR>Lư%{5gǺ^i[1,pq|BK~jeL877|t'$4i|;*$ɏT!ㅫ-/^gꤒEc , X]>hؙW#q:hQW}ߺkOæ/3Tgb`ϾsTߑfeeiܿh4-4ȍ|r): 0 %E(:5U緄4u_R5ISK&)dLkgZR a$QdmjH4eؐlZA'*762ڣg5uAQ5aFRzDkD,ikȀgٿN+Mu_ùE9k.bթLRoSy{ajShTlM_ .5L "ƚ*|*̣Dq>Chk9b Iv7c摱fV7X8NP7[i{8"(t#Lr@1h-V:M26CNƵu ؠ6*ZDTi"p1J$ p=т5S\j:-T,@/Pĝ)fId*[DtT@ToagIH x&E/xFR VI\0 D  IA4=^8@+r.) @@ҔLi  0+@@@s@@@@2QAp(  GV,wp -ųbQiSAm[sZC}26c^V{A0umܹkךA@@ X9ւ;ovQ_~yyy[-j&.cQ",%EYD#E[4Hk3y枻?;fL~~ #G0zrp޽1&HKFDa<Vnp &FKB@ Kw{[2'xIsWkKqzx-Yzӏfuvu[.E Tbd1mg}/O6Tȹ )EYVv@ y{7棈mf= А,֚^SX%, pi*@@se",O?䎟O~O/^|um/צf̷#ej˖- I+W| ueHu-*T7Vi) 8Fez^aellZЪUH.qXDg}_?zݛ_Ƿݛo- }Ӟ;eTm|{%k>hdY~kƭHd˦az `6XJ ,5xhZ֪nAP@ -H]lپ={n}['[y={ߙ^l>y̷ܣѿk!s} ]8M:80ڠY??/ _qXD޹cNj/pĉ'j]tw٬OtIk\K|{Ls?*WfѠ'\r?푗౅k֮Ā$Q13U$1eyϊLAi+iKU(5Dz@^^ *5u iEȊELoYhmޥ[n\k[[syY)5יe7Eq'x"R.S%<|嗭]v}Uƥ>c di_d+I(whָ7 H~2Q"T]r_r}Q-Z$ Z{1upkf88545m1S..{[5&<5 82 KM; ]M;]m6K\U\ns f_?7 W]pouyoAVm('򌯶D _@@;(LγԔ钺K2~-yGEȐzK>+t5*-@i!ٹή.);/s[J9}~?/>yw=G>`ka2   `@hNNNQ>;wjmi jrV7 =߻cVOgu&1?rM̗gJJ4G<"+ڃ   B n߱uk^.,u5ni W_lӏ~ϙ=gB3Oxim߻}F):ʀ΂;K_X亂W7F8'ګW#Gٿ͟$)4r7ޫwux-gitU&sO:館22URŲ.Sǩ*;B4txgJ& $ z'%NeprYb/Y-yfM*7l̲3x*}  J8pc_{;Hnm\3ܵE\ӟ}=7wRwv,y<HS:F vo )V*SIqD#JLogJdGoPa$6IF;ޑ6 欝D@{%R`4uAd'?t{5lNUV"N>}.[J&놋tԫO ~g߹k]1Lt_3O~&Ku`Ol #z6qP*JcvQ*_嫥9K$odl4sSY9.Д]rd"k T5ZJ`Ţk"o<Ϯl#{k-Km$wS 6K)o\UWLyJKKW,K({E =D]D6=Y\qP E-*VV/,Li )76̸,]8%r3HRdؖ$JgJ+jUҔ Ri쩤8TpEԁ0yI4[fnN%WŕW߿U{W G'8jj!I,OVWɭ+|cպU_B@9XJlelWԥ.G<@S= y20̀A翢X&kiP [BSm bZr Ęk*4cw(\v1>Utulܥ"@ maڥ x.A@)}Ҕ(.E+ŕ?(Ic1{4z"G-.WBN-IiVVkY5OS6-XRz j =: :XB/2hӓ&0*V5:(`JϪwuװw;7c?xy|aÆٷA@ ьUD_al(pPk0+F^rkd{=MDAc!MO:M`z-nuefЬ=%Y& $p)5v7Ra|_á:[|3Qujjjrgk9&H$Yg}߿_^gJK !)ʰWF6 (tjVhزjbgT4l06qz@"A0ӑ88rsvi>A(g^˪Gz2*|T4= Սw5W}9lW=Y-VcɳO$ Hu<"䥑tj_V&\Q#s˿-Pk봔ٹϾдg7[cу߆Ζ-IN<9z I'@sG"t@ (P)>뉞/57 UA˖3g>;kJIޙSR>ol\| {-]]y?lSnO7|k')HzG@@ ZxR=nt%Z&^G(E+LTh|le!'x;swʲp5y$ ,YDM|kmSѩ&30/Co:U)$wAqe&䂷P~GQeUU^Oēm—JyQn`ߢ>}"\іj A@R@iġ3&x&Y>b[UYIe6#(o&|I$͘n-L#f n~Y.=bURL,m+e&  N =2w y Lͳ# vj4=ͦ 0%5ky$WMM~} ؀YC@` -)C:O.y+4JT(/º g -]pY&C)pK3ԝJHŻrH4@ʪ3EܑV6CSs-yP Mև  `ε>7ù:IN"S,Ӹ* L' v8| <h;j.%J-0kR )OD]RsDcf-h9CLU[ !G!&h.M9ɻo8jϐRtXXZX/Y!+fNaN#v@FK,@/P$,Sz HjxO4/ጷZj  K&l$a,n󙫥  `$54g6H"DSA@$ek{byk@@@ 0Cب @@ `bQj'!v8Ych*"pdƧ eb Oַ5 3ZBzg64ǼVKޓ5kܹkךA@@ , zY=pQǢh+/7lֿz; 괙V2h=H^A@4 Xx}/,,짿oݣG>}[Tt`6W~w]DCB=ѐK؅0dfffo+kgSSS(2#tgږvwu[n].tq; IXU/mH"Ģp8dy--`- uwoyO𔿰pS=t㡎JJNDz'F c@ @lHW\;!cH|wߛ}wӻgϞ&aԠv6'bDͽԿ"ٵiC 3i7YQw6\0D\l%g4s]1|p*G}lwV=`yJ6<c'i Pdz!˫pXr4U4ǴciZlj@@ 1ϭcV߼p~92^=F"(77jzF  `@.^F}]>/+z(u ϲy@jHY.&l$6 m  3GV,?EZgٿ"$<>yE{6}zք^s/8p8̹]]_}?=4(FP2ظgX,61򋌽sj",MsJlV8Gk"2)ہU7~:6v!ٿ~cYHGAeSskSxiK su}O[-Б}a3EEwW[}G|uf#+43kJ`M A }yvn=O=>'O -~_Wqʯuί稁y|> OA@3(j z7mLkok=z)xz-%^p  P(C`wYݷ=7*,wgul/"yyy%W?A3 @@8 $P&{ؕ r죤ɕ!jiss3 7hǨB @@ U tYƂ' 4&W\:nn >"P@(ve̺_~g6/}ws}gMxۃtRS(~SX%`E<:yydETžFgOFm`8y[Ւ;`֤y3,=.mk+\w8lyu굊:Z;7tXӱ{}PW{yW~oӳ_+WmnGҝ-&~3V}I#6q-vFT8Ym*l^ӄM %;JbQVO ҲmWޮ]:ݍ[ K9_t#k2L剿=J4OzICp juVv\c\UVs籊7(n/wJyҜ%PZ2[Z6[9IZV婬 ̜TVYh.kZs[?$۾VǿywgٷwuZ3? "Gd#wdnfK. u45)ʨ+10OV"=A=8 m zO,cM/.6AW ꮢMKǨrK[ ɨi牶@a5u71^iFTY#]H͔W)u{aI|2~'z };z㺛FիWAAYPs#(K=h@NLKG5ib--ByW= zMvZS^V^&qJG 0-bھzMSkUiң<-Gl-FjҫpȅM۷/A;ߝz DAZb<; i Ep"rfYqZjncvX)r( H$=? <=S:P1![-OXN>jF(-,,$i!%C -P(vL:Q3^ A D_cG5)h쭃NazaZu9O8 bJԾmzʪ%!@LFI$SjKro\|_á:[|-nGJIb' dY<xTOcZ uz}T * S~cX_d1#1hh@rcjt5Hfj3=,5(+q+ M/~h T#r(+IΆ@CedKHZE#:: -e{.Cnjn_;b~w(vzY{~HEGG"ktp(*XVM-[bϜ%>R˼ )%EW߷WxgN[bJy| w1(d|5POz鍆4)wĈ1?NU$@XbiCwM+,1oPAM M"{N*Y4[>p2ߐf9;qeYI@8(OH!mЏ[_xyO􎐰JcKTtG]O Ôs8g+[7%(SR(mhuaYied'?E%+OjM#47Y]a~3srrU[{FNK]Ej#|V  BM&͟1SU]5y &߲bΒeoN*+xxWwPy&[3%:P8#ut߬A.gLP F"7'\W_  :@@ҋ; YӋ2Qt$ *@@@+ -Ѵmz8  `sDy%fR8dyO[pp@@L%I;@Hri m%gIt0@@ L4-A@]pIù68@`'I=}s'pnQO9zڵLG.\(mXnLHsP*rt-}_-E0mܹ M@@@ | 7DŨ?=a-|Mʏ8&is[~ZGnv]jAm {X}u   h߿dXK$ZJJJzvSРN#c1N%@@@ 6b~fff.y{^i-nYYYD'Imm%Iitl@.BXf`1H+.$YE!JhEUF܆kNT$D[."V6X\>=o3$A@XR>ܽxݓ1 2T6wSdE315NR-kA@ qa˻'={{F忨Y)63Pf4Wk$<&Z~^tw-yP9 :M܎n+ g iK >D]v*gϮ}xǮ7JO}'oAhEEUأ'HXatė@|&ӧ$ Ľ G3{Hy}sOl߾=ĞWB=_1[/x|LUc5@O ;68vNOaZi5U{޽q!QvL`PW1ʚ7Dv@r sKR #+^{yYgd9.\023㝏Yt|o'Or)eeeEEE ;n7yU{\Y,61򋌽Kb R;h"6#OQҞrWW)߿nn..ƻZHseAF^CEclnj᪲IÇ'A毖,ϳ[/a;0f  J AKnx<$vگ4d.K.@mzKD/Y-yfM*7l̲3ʼ^J߶uȄS[uԦ孵kO2wF<'0{*& V,T\GO>h>}222p6i\ӳ%{J+.4WLU=Wյhyfq6.yPye׻4kߦ4)7&y"Mf7zN9;fKK4oL-T.~vz]^WԄZkzĶf6> X]^6he'%Լs e}Ҕ(.E+ŕ?(Icd4qȗH@ܩ[hj&@q^鬀%E,)"VVkGBm1AŚQdKK%VfKøBS'OQI[ O9"CB&L/H:xzrubNMC$=Z[BQ建Ez鍭SՉݖ.}3%Y1;95~8]4P6c7%8Z+ĺ^)MrYSLOSYq+p*0/| ,Q8IRk8_xȷ|-!A>yݓBnhdz--,xBS2j JiY@b-I\Ri! K[ ii".A4 vrUV<l]Q눰Bv1`1ūyXs]!3<=V!ScɳO$ Hu<"䥑tj_V&ۼHg]uo~OبP?nܸ`0{9H|N3~IZ\'i3 5F[?'T^E6 UA˖3gu^w֔++3x-X1|@<hd .1DAC /Ӯ,7|G䯜(T=/rMw^~t# A  E+LTh|le!'x;swʲp5fL+ʪn CY}Φ&2E||㥡_#Ox*;l&.(D\BTdwYU0d[/$P&Z&Ff'N,EZ9  VBM&͟1SU]5y &߲bΒeoN*+A+-,bۍ- K.lWb#ejT q$`z87 q P L sS9&  ,&{ѰS*kBiE#zbnӲ?)j%RVRm~=w:A@ e ZnJj,jB,yBPP@ҒΟ1Z!(1n\@RíJS=u3by-OܥY,B}@Rh TMWىmep_*Z@Iv {gLl/bg cK:***QBSyʲ(6DG'#Um g^ k3#GX|>:h8{Q#$8'Pr'1^>ңtPLI^`9 :nO, #>g!zНXlwK.))6ք? T"   zTwzw*áPUw<}?myԣ@@@@v=iյ{V״=(R}G_=~Ѳc@5(  Gc&)H=$`D~nֽf5(  G$꓅}9<L(YhFּi#LT]x%%D]yvAyH9A{xsO{/2l) Z8lXF=8;3ē'K#D>;U;~r>O]) x;7ܳȊE[ikEAH9d zXr-@@l]~)]@0 {3\zὩ7\֯9zڵF9)'vaWN8,۲})Ej k[$W=Ǩ ֤_]iB(8;w:ZJD:#1v_M;3gCɋ.$jn뒽j˟Xm[_83"cDIXߨ@@ `!;k>xGA4سW2DC]A':a6t@ C$y&C]GLpC";6H{s ̞ì\   !D]=O{ۏ#% z"DɢEd!#%a^@4&D]MR> yFC= Ә\TA4 PKd춻1eyciCSpW`(Jx   IAQҤp F@, N,"0z5Y`W^bFمbiD&DI$3_+HfyrRF$? @@bF@#t|n] ]`{f^湿7WϘه@@@ a hѱ?Q$6~{7uOWoxwWK3y4;3  %6|b `} =pOƳs+.{YˡD#==uijbZz6=A)4hT#! n oD\ &{ݤ(p8% ʦDnD۷_ o`C ~ %AM?Ƥg8IO !Dz9{vG.=c(A!^2Y0Ɨ)T   D@9Ise|a/g-=;{v}1<)  W#o\&M o?ȢRfEwFO # зoں/:i|RpB KP%yaaBU~dzf1knkIMRwkeqcsY^ᶭڏ~|G[bψQq-HKQЪ