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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。
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/Ixv{H)H k~Z;S QyN L3前面两竖线是
光阑 {f"oqry_g YC[cQX 公差分析结果:
Q%r KKOX8 Lo,uH`qU Units are Millimeters.
\Vb|bw'e( QZ&
4W Paraxial Focus compensation is on. In this mode, all
gx9=L&=d compensators are ignored, except paraxial back focus change.
&ea6YQ Y[!s:3\f WARNING: Boundary constraints on compensators are ignored when
{ k>T*/ using fast mode or user-defined merit functions.
[]:&WA9N 7?ICXhu9 Criteria : Diffraction MTF average S&T at 180.0000 lp/mm
"*<)pnJ Mode : Sensitivities
w~4T.l#1 Sampling : 3
#(7^V y& Optimization Cycles : Automatic mode
ULH<FDot Nominal Criteria : 0.38686619
YJGP8 Test Wavelength : 0.5460
;oCSKY4 QpCTHpZ Fields: User Defined Real Image height in Millimeters
gz#2} # X-Field Y-Field Weight VDX VDY VCX VCY
[nA1WFfM 1 0.000E+000 0.000E+000 1.000E+000 0.000 0.000 0.000 0.000
YWAH( 2 0.000E+000 1.151E+000 1.000E+000 0.000 0.000 0.000 0.000
Pj8W]SA_ 3 0.000E+000 1.918E+000 1.000E+000 0.000 0.000 0.000 0.000
}2h! 4 0.000E+000 2.685E+000 1.000E+000 0.000 0.000 0.000 0.000
1z3>nou2{ 5 0.000E+000 3.452E+000 1.000E+000 0.000 -0.105 0.002 0.105
T*z*x=<5 6 0.000E+000 3.836E+000 1.000E+000 0.000 -0.217 0.014 0.217
dWTc3@xd J4%"38l Sensitivity Analysis:
^P|Zze
zwU _1G;!eO |------------ Minimum ------------| |------------ Maximum ------------|
tH=jaFJ Type Value Criteria Change Value Criteria Change
\NZ@>on TTHI 2 3 -0.010000 0.386393 -0.000473 0.010000 0.380196 -0.006670
a$K6b5`>Rs TTHI 4 6 -0.010000 0.380717 -0.006149 0.010000 0.378999 -0.007867
[}I|tb>Pg TTHI 7 8 -0.010000 0.380585 -0.006282 0.010000 0.386480 -0.000386
n"w>Y)C(X) TTHI 10 11 -0.010000 0.375901 -0.010965 0.010000 0.385879 -0.000987
J@A^k1B TTHI 12 13 -0.010000 0.386971 0.000105 0.010000 0.386709 -0.000158
M1=eS@ TTHI 14 15 -0.010000 0.386958 0.000092 0.010000 0.386722 -0.000144
(3WK2IM^ vddl9"V) Worst offenders:
xwub-yz Type Value Criteria Change
[]doLt;J TTHI 10 11 -0.010000 0.375901 -0.010965
ka@yQ V TTHI 4 6 0.010000 0.378999 -0.007867
IdoS6 TTHI 2 3 0.010000 0.380196 -0.006670
,zEPdhTX TTHI 7 8 -0.010000 0.380585 -0.006282
F9k}zAY\J TTHI 4 6 -0.010000 0.380717 -0.006149
r{{5@ TTHI 10 11 0.010000 0.385879 -0.000987
dTWcn7C TTHI 2 3 -0.010000 0.386393 -0.000473
lS|F&I5j TTHI 7 8 0.010000 0.386480 -0.000386
xb2j
|KY7 TTHI 12 13 0.010000 0.386709 -0.000158
tn;Uaw TTHI 14 15 0.010000 0.386722 -0.000144
`ff@f]|3^ 1HLU
& d ATAH}r& Estimated Performance Changes based upon Root-Sum-Square method:
L|8&9F\ Nominal MTF : 0.3869
5Y 7 %Z Estimated change : -0.0124
$F1Am% Estimated MTF : 0.3745
MoXai0d% @O/"s~d- Compensator Statistics:
hcpe~spz9| Change in back focus:
nub!*)q Minimum : -0.008974
,#bT Maximum : 0.008997
`YY07(% Mean : 0.000002
qOAP_\@T Standard Deviation : 0.004372
5&.I9}[)j XZ2 ji_D ^B8[B&K Monte Carlo Analysis:
h1y3gl[;TD Number of trials: 20
Z5g*' 3e>U(ES Initial Statistics: Normal Distribution
`a[
V_4wO H
vHy{S4 Trial Criteria Change
~Rx`:kQ 1 0.381931 -0.004936
~R\ $Z 2 0.386597 -0.000269
\O]kf>nC 3 0.380763 -0.006103
- _~\d+>w 4 0.385898 -0.000968
_88X-~. 5 0.379542 -0.007324
gH.$B' 6 0.386121 -0.000745
e0]#vqdO 7 0.388123 0.001257
\p%D;g+c 8 0.385172 -0.001695
Xy}>O* 9 0.386426 -0.000440
t>Yl=79, 10 0.387614 0.000748
l
GJ N;G7 11 0.375242 -0.011624
36Lf8~d4"h 12 0.386008 -0.000859
EN__C$ 13 0.388606 0.001740
@vL0gzE?nB 14 0.383519 -0.003347
~.#57g F" 15 0.381154 -0.005712
Ffd4c 16 0.382717 -0.004149
r?|(t? 17 0.388328 0.001462
aWNjl 18 0.386187 -0.000679
2&=CC4<!d 19 0.385583 -0.001283
q,OCA\ 20 0.383495 -0.003371
I+`>e*:@W _Ea1;dJmq Nominal 0.386866
*q;83\ Best 0.388606
bN|1%[7 Worst 0.375242
7q{yLcC" Mean 0.384451
,Xg^rV~] Std Dev 0.003324
<tm= YDZB$?&a Compensator Statistics:
xiL+s- Change in back focus:
,Y16m{<eC Minimum : -0.011827
"Bz#5kqnl Maximum : 0.006609
a/3yn9`sQ Mean : 0.000099
4;(W0RQa Standard Deviation : 0.004182
@1qdnU "Z~@"JLb% 90% >= 0.379542
~jzT;9: 50% >= 0.385583
(4IP&^j:\ 10% >= 0.388123
tv2k&\1 ?0-3J )kW End of Run