学习公差分析的时间不长,其实很多时候真的感到很疑惑,好像有时候在最差的十项里面未必就是最差的,好像有时候会出现比这里面其中的一些还敏感的却没有出现在最差的十项里面,最近一直不求甚解,但今天遇到一问题实在不得不让我去求甚解。事情是这样的,我对一个镜头进行分析,公差分析结果贴在下面,其中第10到11面的空气间隔就是L5-L6的间隔,按照最差的十项来说,应该是变化这个间距MTF会下降比较大,可实际上MTF却没有什么下降,而4到6面的间距(L2和L3之间的空气间隔)变化MTF下降的确比较明显,真不明白这是为什么,镜头的镜片排序大致如下面所示。还有,我请教了前辈,前辈说公差模拟是随机的,不一定正确的,只是有参考价值而已,而且他还说假如公差分析设置的操作数一样,那每次公差分析的结果也不一定相同,这让我有点疑惑,好像我印象中不是这样的,我好像这么做过,但分析的结果是一样的,当然这个我自己去试试就知道了,只是现在太晚了,不想去试一试,想睡觉了,所以对于其他问题,希望各位不吝赐教,谢谢!还有,希望各位看看我公差分析的结果,看看里面是否有设置不对的地方,有的话请指正,再次谢过。 T c-fO
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L3前面两竖线是光阑 319 4]
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公差分析结果: E:}s6l
89[/UxM)
Units are Millimeters. i?>>%juK
BDN}`F[F
Paraxial Focus compensation is on. In this mode, all xqT} 9,
compensators are ignored, except paraxial back focus change. iLdUus!
axG%@5
WARNING: Boundary constraints on compensators are ignored when Xe}I;sKrB
using fast mode or user-defined merit functions. p+I`xyk
<MxA;A
Criteria : Diffraction MTF average S&T at 180.0000 lp/mm TGpdl`k\T
Mode : Sensitivities :hHKm|1FE
Sampling : 3 &~"N/o
Optimization Cycles : Automatic mode 7WV"Wrl]
Nominal Criteria : 0.38686619 "97sH_
,
Test Wavelength : 0.5460 mv<cyWp
fN`Prs A
Fields: User Defined Real Image height in Millimeters rl"yE=
# X-Field Y-Field Weight VDX VDY VCX VCY $jC+oYXj
1 0.000E+000 0.000E+000 1.000E+000 0.000 0.000 0.000 0.000 45+kwo0
2 0.000E+000 1.151E+000 1.000E+000 0.000 0.000 0.000 0.000 hzV%QDUpe
3 0.000E+000 1.918E+000 1.000E+000 0.000 0.000 0.000 0.000 sI)jqHZG
4 0.000E+000 2.685E+000 1.000E+000 0.000 0.000 0.000 0.000 } BP.t$_
5 0.000E+000 3.452E+000 1.000E+000 0.000 -0.105 0.002 0.105 @
/e{-Q
6 0.000E+000 3.836E+000 1.000E+000 0.000 -0.217 0.014 0.217 .j!:Hp(z}
_=w=!U&W
Sensitivity Analysis: 'mU\X!-
4<
H8c -/
|------------ Minimum ------------| |------------ Maximum ------------| ylmVmHmc
Type Value Criteria Change Value Criteria Change p=Qo92
NH
TTHI 2 3 -0.010000 0.386393 -0.000473 0.010000 0.380196 -0.006670 @M*5q# s
TTHI 4 6 -0.010000 0.380717 -0.006149 0.010000 0.378999 -0.007867 ]VVx2ERs
TTHI 7 8 -0.010000 0.380585 -0.006282 0.010000 0.386480 -0.000386 3qfQlqJ&3
TTHI 10 11 -0.010000 0.375901 -0.010965 0.010000 0.385879 -0.000987 >wV2` 6
TTHI 12 13 -0.010000 0.386971 0.000105 0.010000 0.386709 -0.000158 (i)O@Jve
TTHI 14 15 -0.010000 0.386958 0.000092 0.010000 0.386722 -0.000144 J<L"D/
: 2L-Nf
Worst offenders: $a')i<m^g
Type Value Criteria Change gC@=]Y
TTHI 10 11 -0.010000 0.375901 -0.010965 >+BLD
TTHI 4 6 0.010000 0.378999 -0.007867 ~\R+p~>
TTHI 2 3 0.010000 0.380196 -0.006670 *xKY>E+
TTHI 7 8 -0.010000 0.380585 -0.006282 G*VcAJ[
TTHI 4 6 -0.010000 0.380717 -0.006149 )=h+5Z>E1
TTHI 10 11 0.010000 0.385879 -0.000987 Oi!uJofW
TTHI 2 3 -0.010000 0.386393 -0.000473 `?"[u"*
TTHI 7 8 0.010000 0.386480 -0.000386 -A8CW9|mk
TTHI 12 13 0.010000 0.386709 -0.000158 h*NBSvn
TTHI 14 15 0.010000 0.386722 -0.000144 g dBH\K (\
oFJx8XU
S#D6mg$Z,
Estimated Performance Changes based upon Root-Sum-Square method: jivGkIj!8
Nominal MTF : 0.3869 y#{> tC
Estimated change : -0.0124 yzCamm4~0
Estimated MTF : 0.3745 5DeAH;
"CQ:<$|$
Compensator Statistics: p\|*ff0
Change in back focus: &C E){jC
Minimum : -0.008974 bq}o#d5p-_
Maximum : 0.008997 w#$Q?u ,G
Mean : 0.000002 [M.!7+$o
Standard Deviation : 0.004372 "Kn%|\YL@4
9r,7>#IF
9&KiG* .
Monte Carlo Analysis: z!\)sL/"
Number of trials: 20 GA)t!Xg^
7gbu7"Qc
Initial Statistics: Normal Distribution 8<g9 ~L
X[iQ%Y$/n
Trial Criteria Change bu r0?q
1 0.381931 -0.004936 4}HY= 0Um
2 0.386597 -0.000269 RS[QZOoW}
3 0.380763 -0.006103 czp}-{4X
4 0.385898 -0.000968 !.5,RIf
5 0.379542 -0.007324 q6>%1~?
6 0.386121 -0.000745 OM7EmMa;
7 0.388123 0.001257 LZ*ZXFIg
8 0.385172 -0.001695 ER$qL"H
U
9 0.386426 -0.000440 |"EQyV
10 0.387614 0.000748 >*goDtTjp
11 0.375242 -0.011624 QPpC_pZh
12 0.386008 -0.000859 S_56!
13 0.388606 0.001740 L(qQ,1VY
14 0.383519 -0.003347 5XA{<)$
15 0.381154 -0.005712 Sy`7 })[
16 0.382717 -0.004149 jG&gd<^
17 0.388328 0.001462 sM'%apM#
18 0.386187 -0.000679 qUtlh,4)
19 0.385583 -0.001283 a{7'qmN1
20 0.383495 -0.003371 q*4=sf,>
dJD8c2G
Nominal 0.386866 x.~A vJ
Best 0.388606 hE>%LcP
Worst 0.375242 \$[S=&E
Mean 0.384451 -mK;f$X
Std Dev 0.003324 CQm(N
jpek=4E
Compensator Statistics: K.K=\
Y2
Change in back focus: aqzIMOAf
Minimum : -0.011827 u3ns-e
Maximum : 0.006609 e2l!L*[g
Mean : 0.000099 W #kOcw
Standard Deviation : 0.004182 yJAz#~PO/
z8\z`#g!
90% >= 0.379542 jou741
50% >= 0.385583 v46 5Z
10% >= 0.388123 HTU?hbG(
7[?{wbq
End of Run