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。 (p=GR#
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L3前面两竖线是光阑 [t{#@X
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公差分析结果: XWpnZFjE
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Units are Millimeters. ue<<Y"NR
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Paraxial Focus compensation is on. In this mode, all .+}o'rU
compensators are ignored, except paraxial back focus change. )Cvzj<Q0
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WARNING: Boundary constraints on compensators are ignored when vqMk)htIz
using fast mode or user-defined merit functions. 4!vUksM
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Criteria : Diffraction MTF average S&T at 180.0000 lp/mm es+_]:7B9
Mode : Sensitivities Cf[F`pFM
Sampling : 3 ;<@6f @
Optimization Cycles : Automatic mode k<zGrq=8J
Nominal Criteria : 0.38686619 h./vTNMc
Test Wavelength : 0.5460 FNCLGAiZ
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Fields: User Defined Real Image height in Millimeters E(kpK5h{
# X-Field Y-Field Weight VDX VDY VCX VCY e.|RC
1 0.000E+000 0.000E+000 1.000E+000 0.000 0.000 0.000 0.000 DN':-PK
2 0.000E+000 1.151E+000 1.000E+000 0.000 0.000 0.000 0.000 YzW7;U
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3 0.000E+000 1.918E+000 1.000E+000 0.000 0.000 0.000 0.000 8:?Q(M7
4 0.000E+000 2.685E+000 1.000E+000 0.000 0.000 0.000 0.000 vr;Br-8
5 0.000E+000 3.452E+000 1.000E+000 0.000 -0.105 0.002 0.105 GtJ*&=(
6 0.000E+000 3.836E+000 1.000E+000 0.000 -0.217 0.014 0.217 Cmx2/N
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Sensitivity Analysis: tO>OD#
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|------------ Minimum ------------| |------------ Maximum ------------| CU1\C*
Type Value Criteria Change Value Criteria Change vLFaZ^(
TTHI 2 3 -0.010000 0.386393 -0.000473 0.010000 0.380196 -0.006670 LiD |4(3
TTHI 4 6 -0.010000 0.380717 -0.006149 0.010000 0.378999 -0.007867 pkf OM"5'
TTHI 7 8 -0.010000 0.380585 -0.006282 0.010000 0.386480 -0.000386 [2 w<F[
TTHI 10 11 -0.010000 0.375901 -0.010965 0.010000 0.385879 -0.000987 -s%-*K+,W
TTHI 12 13 -0.010000 0.386971 0.000105 0.010000 0.386709 -0.000158 = #2qX>?
TTHI 14 15 -0.010000 0.386958 0.000092 0.010000 0.386722 -0.000144 agm5D/H]:
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Worst offenders: <&s)k
Type Value Criteria Change xT?} wF
TTHI 10 11 -0.010000 0.375901 -0.010965 |;u%JW$4
TTHI 4 6 0.010000 0.378999 -0.007867 A='+tJa
TTHI 2 3 0.010000 0.380196 -0.006670 ->2wrOH|H
TTHI 7 8 -0.010000 0.380585 -0.006282 (<R\
TTHI 4 6 -0.010000 0.380717 -0.006149 W;oU +z^t$
TTHI 10 11 0.010000 0.385879 -0.000987 dFP-(dX#
TTHI 2 3 -0.010000 0.386393 -0.000473 u4,X.3V]A
TTHI 7 8 0.010000 0.386480 -0.000386 ]VG84bFm
TTHI 12 13 0.010000 0.386709 -0.000158 ]RXtC*
TTHI 14 15 0.010000 0.386722 -0.000144 nR@,ouB-$
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Estimated Performance Changes based upon Root-Sum-Square method: h3]@M$Y[
Nominal MTF : 0.3869 a;'E}b{`F
Estimated change : -0.0124 CpRu*w{
Estimated MTF : 0.3745 xe gL!
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Compensator Statistics: YUVc9PV)Ws
Change in back focus: Ns|V7|n]
Minimum : -0.008974 iPY vePQ
Maximum : 0.008997 9p\Hx#^
Mean : 0.000002 ;Ma/b= Y
Standard Deviation : 0.004372 Pm#x?1rAj
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Monte Carlo Analysis: ,;cel^.b
Number of trials: 20 e8ULf~I
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Initial Statistics: Normal Distribution UC+7-y,
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Trial Criteria Change 2 ]DCF
1 0.381931 -0.004936 uVq5fT`B
2 0.386597 -0.000269 or%gTVZ
3 0.380763 -0.006103 IglJEH[+
4 0.385898 -0.000968 )`s;~_ZZ
5 0.379542 -0.007324 gN, k/U8
6 0.386121 -0.000745 _/jUs_W
7 0.388123 0.001257 =|gJb|?w
8 0.385172 -0.001695 Q@e*$<3
9 0.386426 -0.000440 *qO]v9 j
10 0.387614 0.000748 VM!-I8t
11 0.375242 -0.011624 o!s%h!%L
12 0.386008 -0.000859 Iu-'o
13 0.388606 0.001740 l~fh_IV1
14 0.383519 -0.003347 oP=T6PX~l
15 0.381154 -0.005712 J)$&