Metallic Nautilus

Apophysis 2.08 3D Hack

This is my entry for Apophysis Challenge#82 [link] by

" The goal this week is to make a fractal look like a Nautilus shell. You may be tempted to make several shells, however, the challenge is to create only one; and......to do a great job with that single shell.
Have at it! "

My parameters:
<flame name="nautilus3" version="Apophysis 2.08 3D hack" size="762 750" center="-0.402374744633161 0.34788113364242" scale="713.19" zoom="0.437" cam_yaw="3.22187779918153" cam_perspective="0.9268" oversample="1" filter="0.5" quality="50" background="0.0549019607843137 0 0" brightness="1.93913043478261" gamma="2.36" gamma_threshold="4.87" >
<xform weight="9" color="0.675" linear3D="-0.649" sinusoidal="0.488" pre_blur="1" coefs="1 0 0 1 0 1" post="0.905632 -0.079233 0.079233 0.905632 -0.01 -0.5" chaos="0 0.893 1 0 " />
<xform weight="200" color="0.065" symmetry="0.906" linear3D="0.053" rings2="0.915" coefs="0.906302 -0.422618 0.422618 0.906308 0.198618 0.101496" post="0.996195 0.087156 -0.087156 0.996195 -0.05 -0.01" rings2_val="1" chaos="0 0 0 " plotmode="off" />
<xform weight="3" color="0.325" symmetry="-1" linear3D="-0.339" pre_blur="0.224" GlynnSim1="0.163" coefs="0.044019 -0.369821 0.165644 -0.618192 0.5 3" post="0.996195 0.087156 -0.087156 0.996195 0.02 -0.02" GlynnSim1_radius="2" GlynnSim1_radius1="0.1" GlynnSim1_Phi1="0" GlynnSim1_thickness="0.1" GlynnSim1_pow="4.429" GlynnSim1_contrast="0.5" />
<xform weight="0.5" color="0" symmetry="1" linear3D="1" ngon="0.001" coefs="1 0 0 1 0 0" ngon_sides="1" ngon_power="2" ngon_circle="0.887" ngon_corners="0.477" chaos="1 2 2 0 " />
<palette count="256" format="RGB">
81795F6E654E625944564E3B4B43314038283D36263B3425
342A1D3126192F2316302416322616392E1C413623463B27
4C412C61563E6D6147796D50817556897D5C8C805D8F835F
9786609A875D9E885B9F8759A18757A08554A084529B7E4C
9375447E60307455296A4B226447205E431E5C421E5A411F
5442235140244E3E264D3D254C3D254D3D254E3E25524026
5A47296D573476603B806A4289734B927C549680599A845E
AC9771B4A07ABDAA84C3B28DC9BA96CABC98CBBE9BCAC09E
C8BC9DBFB08DB8A783B29F79AD9A73A9966E9D8A63907C55
75603A69532E5D472356411E4F3B1A4C391949371946371B
45371C483D254E432A554930584C325B503562573A6C5D3D
7C6A44846F478C754A8E774B91794D927C50927D518F7B50
8C794F8A764C8C794F8F7C52917F5693825A988A639B916D
A19875A29772A49670A4946DA5936AA69367A69166A58F64
A28C62988259967E55947B519076498E734690734893784D
9D845BA48C61AC9468B0986CB59D70BEA678C7B082CEB88C
D3BF95DDC898DDC896DDC894DBC58ED7BE86D0B67FC5AD79
B09868A38C5E968154907A4E8A74497D673D705B3565512D
5D48294D3D234A3B22483921453620423420423421443621
4C3B224D3C224F3E224F3E21513E20513D1F513E20544123
59452667542E6B572F705A31775F337D633480653683683A
8971448B74468D7749917C4F958053978255968257928059
8F7F5B8B7E5C887E5F8780648883688B866B8F8A6E968F70
9F9672A09672A19773A09774A197739F95729F946F9E926C
9F90669E8C609C875B998355947D5191784B8B7246866C41
82683D7E653B7D63397D643A80683E846C4388724A8D7953
92815C9787649B8E6DA49776AB9F7DB4A783BEB088C5B68C
CAB98CCAB788CAB483C6AE7CC1A773BDA06DB89D69B59967
B19664AE9361AA905EA68A59A285559D8151997D51957A4F
8F754B88714980694377623D6D5835644F2F5C492B574425
534122513F21513F2350412750452C544A355B533E655D46
726A507F7559857D5E8A81628C84658B8367888064847D62
</palette>
</flame>