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。 L{i,.aE/nO
<z2*T \B!8
sC ^9
w4"4(SR.
L3前面两竖线是光阑 j)vfI>
SFaG`T=
公差分析结果: >
]()#z
>h>
Units are Millimeters. QL{ ^
u\uY q
Paraxial Focus compensation is on. In this mode, all L6jD4ec8
compensators are ignored, except paraxial back focus change. I8%2tLVY
[!Jd.zm
WARNING: Boundary constraints on compensators are ignored when qa!3l b_'M
using fast mode or user-defined merit functions. "j<l=l!
$v#\bqY
Criteria : Diffraction MTF average S&T at 180.0000 lp/mm ":G\
Mode : Sensitivities )j^~=Sio.
Sampling : 3 ar#Xe;T!
Optimization Cycles : Automatic mode Alh"ZT^*
Nominal Criteria : 0.38686619 !
,*4d $
Test Wavelength : 0.5460 Q^_*&},V
jIOrB}
Fields: User Defined Real Image height in Millimeters 3<L>BakD
# X-Field Y-Field Weight VDX VDY VCX VCY lls-Nir%
1 0.000E+000 0.000E+000 1.000E+000 0.000 0.000 0.000 0.000 ;hcOD4or
2 0.000E+000 1.151E+000 1.000E+000 0.000 0.000 0.000 0.000 :K#z~#n
3 0.000E+000 1.918E+000 1.000E+000 0.000 0.000 0.000 0.000 @ 7WWoy
4 0.000E+000 2.685E+000 1.000E+000 0.000 0.000 0.000 0.000
oRbG6Vv/
5 0.000E+000 3.452E+000 1.000E+000 0.000 -0.105 0.002 0.105 <Y9 L3O`[
6 0.000E+000 3.836E+000 1.000E+000 0.000 -0.217 0.014 0.217 UF$JVb
oU`J~6.&S
Sensitivity Analysis: IL\2?(&Z
4)zHkN+
|------------ Minimum ------------| |------------ Maximum ------------| a'U}.w}
Type Value Criteria Change Value Criteria Change c-dOb.v0
TTHI 2 3 -0.010000 0.386393 -0.000473 0.010000 0.380196 -0.006670 [RqL0EP
TTHI 4 6 -0.010000 0.380717 -0.006149 0.010000 0.378999 -0.007867 e=yQFzQT)
TTHI 7 8 -0.010000 0.380585 -0.006282 0.010000 0.386480 -0.000386 c[h{C!d1
TTHI 10 11 -0.010000 0.375901 -0.010965 0.010000 0.385879 -0.000987 B_u1FWc
TTHI 12 13 -0.010000 0.386971 0.000105 0.010000 0.386709 -0.000158 +wwb+aG6{
TTHI 14 15 -0.010000 0.386958 0.000092 0.010000 0.386722 -0.000144 nB#m?hK
<EHgPlQn
Worst offenders: G';yb^DB
Type Value Criteria Change n&j@7R
TTHI 10 11 -0.010000 0.375901 -0.010965 x'c%w:
TTHI 4 6 0.010000 0.378999 -0.007867 <x^Ab#K"
TTHI 2 3 0.010000 0.380196 -0.006670 -%5O:n
TTHI 7 8 -0.010000 0.380585 -0.006282 Q=+*OQV29
TTHI 4 6 -0.010000 0.380717 -0.006149 +5>*$L%8T`
TTHI 10 11 0.010000 0.385879 -0.000987 *G6Py,- !f
TTHI 2 3 -0.010000 0.386393 -0.000473 }K8W%h<3S
TTHI 7 8 0.010000 0.386480 -0.000386 i 1{Lx)
TTHI 12 13 0.010000 0.386709 -0.000158 &:3uK`
TTHI 14 15 0.010000 0.386722 -0.000144 )e1&[0
]V4Fm{]
XlPi)3m4/S
Estimated Performance Changes based upon Root-Sum-Square method: >3v
j<v}m
Nominal MTF : 0.3869 iFypKpHg~
Estimated change : -0.0124 "Q>gQKgL
Estimated MTF : 0.3745 q3CcXYY
6BnP"R.
Compensator Statistics: sX :)g>b
Change in back focus: _~=qByD
Minimum : -0.008974 d[p-zn.
Maximum : 0.008997 AxsTB9/
Mean : 0.000002 {Y\W&Edw%
Standard Deviation : 0.004372 %+=y!
wd
4]Z0;
rQuozbBb
Monte Carlo Analysis: f<$>?o&y
Number of trials: 20 mHiV};$
6G^x%s
Initial Statistics: Normal Distribution !P_8D*^9
e?V7<7$
Trial Criteria Change T@S\:P
1 0.381931 -0.004936 b!h*I>`
2 0.386597 -0.000269 ;F/yS2p
3 0.380763 -0.006103 0G=bu5
4 0.385898 -0.000968 7;wx,7CUq
5 0.379542 -0.007324 %YH+=b:uW
6 0.386121 -0.000745 MPtn$@
7 0.388123 0.001257 ['*{f(AI
8 0.385172 -0.001695 ,"@Tm01os
9 0.386426 -0.000440 8BHtN
10 0.387614 0.000748 hJ>Kfm
11 0.375242 -0.011624
[b=l'e/
12 0.386008 -0.000859 ;`{PA
!>
13 0.388606 0.001740 ;?*`WB
14 0.383519 -0.003347 >E9:3&[F
15 0.381154 -0.005712 "X.JD
16 0.382717 -0.004149 _`H2CXGg
17 0.388328 0.001462 !'
D1aea5
18 0.386187 -0.000679 4F-r }Fj3
19 0.385583 -0.001283 0c$0<2D%
20 0.383495 -0.003371 #JOWiO0>
sp2"c"_+
Nominal 0.386866 :nt 7jm,
Best 0.388606 _>6xUt
Worst 0.375242 \L-K}U>J
Mean 0.384451 @AvDV$F
Std Dev 0.003324 %y{f]m
BotGPk><c
Compensator Statistics: cIm_~HH
Change in back focus: TSl:a &
Minimum : -0.011827 -$@$
Maximum : 0.006609 4)cQU.(*k
Mean : 0.000099 NB["U"1[^E
Standard Deviation : 0.004182 yX {CV7%O
=&5^[:ksB
90% >= 0.379542 uA'S8b%C
50% >= 0.385583 ,vxxp]#5
10% >= 0.388123 t,YnweH
HB>&}z0
End of Run