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。
7lnM|nD BxW||O|_N"
Th I O&gy( L3前面两竖线是
光阑 {Tjtj@- ^MF=,U'8 公差分析结果:
oW\Q>c7
= [U+<uZzOC Units are Millimeters.
'6Rs0__ 72BzvY. Paraxial Focus compensation is on. In this mode, all
C/grrw compensators are ignored, except paraxial back focus change.
R[2[[M HzFt WARNING: Boundary constraints on compensators are ignored when
~a0d.dU using fast mode or user-defined merit functions.
Z=1,<ydKV d@`-!" Criteria : Diffraction MTF average S&T at 180.0000 lp/mm
P^o"PKA Mode : Sensitivities
@i1 .5z Sampling : 3
7ZR0M&pX Optimization Cycles : Automatic mode
{/,+_E/ Nominal Criteria : 0.38686619
AH ?MJKY@Z Test Wavelength : 0.5460
Cys/1DkE `rRg(fCN!M Fields: User Defined Real Image height in Millimeters
d3\l9R{} # X-Field Y-Field Weight VDX VDY VCX VCY
.WPuQZ! 1 0.000E+000 0.000E+000 1.000E+000 0.000 0.000 0.000 0.000
dzk?Zg 2 0.000E+000 1.151E+000 1.000E+000 0.000 0.000 0.000 0.000
's%ct}y\J 3 0.000E+000 1.918E+000 1.000E+000 0.000 0.000 0.000 0.000
PT=2LZ 4 0.000E+000 2.685E+000 1.000E+000 0.000 0.000 0.000 0.000
;_;H(%uY 5 0.000E+000 3.452E+000 1.000E+000 0.000 -0.105 0.002 0.105
'ra_Zg[j 6 0.000E+000 3.836E+000 1.000E+000 0.000 -0.217 0.014 0.217
rUJSzLy ~>wq;T:= Sensitivity Analysis:
$;g%S0:3) :5qqu{GL |------------ Minimum ------------| |------------ Maximum ------------|
0v,`P4_k Type Value Criteria Change Value Criteria Change
)l/C_WEK TTHI 2 3 -0.010000 0.386393 -0.000473 0.010000 0.380196 -0.006670
[s&
y_[S TTHI 4 6 -0.010000 0.380717 -0.006149 0.010000 0.378999 -0.007867
U7Sl@-#| TTHI 7 8 -0.010000 0.380585 -0.006282 0.010000 0.386480 -0.000386
.(.G`aKnF TTHI 10 11 -0.010000 0.375901 -0.010965 0.010000 0.385879 -0.000987
zv3<i ( TTHI 12 13 -0.010000 0.386971 0.000105 0.010000 0.386709 -0.000158
".7KEnx TTHI 14 15 -0.010000 0.386958 0.000092 0.010000 0.386722 -0.000144
e^K=8IW /ux#U]x Worst offenders:
+k"8e?/e. Type Value Criteria Change
[Nzg
8FP TTHI 10 11 -0.010000 0.375901 -0.010965
m'vOFP)' TTHI 4 6 0.010000 0.378999 -0.007867
\H'CFAuF TTHI 2 3 0.010000 0.380196 -0.006670
.bl/At3A TTHI 7 8 -0.010000 0.380585 -0.006282
,4?|}xg TTHI 4 6 -0.010000 0.380717 -0.006149
I(r5\A= TTHI 10 11 0.010000 0.385879 -0.000987
R,k[Kh TTHI 2 3 -0.010000 0.386393 -0.000473
^SelqX TTHI 7 8 0.010000 0.386480 -0.000386
.<|4PG TTHI 12 13 0.010000 0.386709 -0.000158
]q\= TTHI 14 15 0.010000 0.386722 -0.000144
#'{PYr ?f%DVK d 5;uX"zG Estimated Performance Changes based upon Root-Sum-Square method:
A_$Mt~qKi^ Nominal MTF : 0.3869
Y3F.hk}O Estimated change : -0.0124
Tx&qp#FS Estimated MTF : 0.3745
4~J1pcBno% ?.'oxW
Compensator Statistics:
$1`t+0^k Change in back focus:
ur_"m+ Minimum : -0.008974
)6S}O*
1 Maximum : 0.008997
%EhU!K#[ Mean : 0.000002
?&bVe__ Standard Deviation : 0.004372
Q\th8/ / g 0_r OKH~Y-%< Monte Carlo Analysis:
29E@e]Y,` Number of trials: 20
Ih0>]h-7 sA7K ;J}) Initial Statistics: Normal Distribution
KPvYq?F>4 fP4IOlHkE Trial Criteria Change
Zvw3C%In 1 0.381931 -0.004936
XhkL))FcG 2 0.386597 -0.000269
dg@/HLZ 3 0.380763 -0.006103
YedipYG9; 4 0.385898 -0.000968
W}i$f -K 5 0.379542 -0.007324
a-A4xL.gm 6 0.386121 -0.000745
U@ QU8 7 0.388123 0.001257
544I#! 8 0.385172 -0.001695
LfSUY 9 0.386426 -0.000440
[~%;E[ky$ 10 0.387614 0.000748
uS10P7N} 11 0.375242 -0.011624
\:^n-D*fX 12 0.386008 -0.000859
5/VB'N#7s 13 0.388606 0.001740
&wC.?w$ 14 0.383519 -0.003347
]cY'6'}Hz 15 0.381154 -0.005712
zEL[%(fnc 16 0.382717 -0.004149
OehB"[;+ 17 0.388328 0.001462
%Q4w9d 18 0.386187 -0.000679
4o8HEq! 19 0.385583 -0.001283
-m-WUox4" 20 0.383495 -0.003371
/9^0YC;Y* DY27' `n6 Nominal 0.386866
:fQ*'m, Best 0.388606
B_G7F[/K Worst 0.375242
~a|Q[tiV] Mean 0.384451
n;Wf|> Std Dev 0.003324
q\=[v #SUq.A Compensator Statistics:
aQuy*\$$ Change in back focus:
eEFT(e5.>3 Minimum : -0.011827
h$h`XBVZe; Maximum : 0.006609
AR2+W^aM3 Mean : 0.000099
"N"k8,LH Standard Deviation : 0.004182
E8 )*HOT_T yUlQPrNX 90% >= 0.379542
?2/M W27w 50% >= 0.385583
Zdz GJ[$ 10% >= 0.388123
tHo/uW_~I cjpl_}'L: End of Run