0 2 2 1 0 8 b7f7ae36-a74e-4e44-83aa-20de00e71e45 Shaded Selection 1 100;150;0;0 100;0;150;0 639157748792950306 false geometry_surface.ghx 0 -184 111 1.7301037 0 0 2 Robert McNeel & Associates 00000000-0000-0000-0000-000000000000 Grasshopper 8.31.26126.13431 opennest_2, Version=2.12.0.0, Culture=neutral, PublicKeyToken=null 2.12.0.0 Petras Vestartas 69663e7d-f412-4b90-ba83-520c906eaeec opennest_2 Info 2.12.0.0 11 c552a431-af5b-46a9-a8a4-0fcbc27ef596 Group 1 50;255;255;255 A group of Grasshopper objects 7e2ba3c3-5908-40af-9e74-f26f3eeac704 2d709c26-ff60-48bb-b752-bba9191bfaba c6a0ffe3-dcb0-4bd6-8fa0-ec9f2b0c1f0e f306e840-1e00-4cbd-97ee-9bb035a292e3 27646587-ddbb-4091-820d-cc505d236772 620db523-136f-4911-9287-8d88e76b5d42 6056a7dd-e0ea-40cc-8540-818c2cb4f10d 0de09a8d-fad7-4016-b961-795d13644e97 e0d7a29b-bf88-41a8-96fc-5f0af4306c9d e28141d3-0c58-4f84-b228-30996add2d87 9179529b-4468-479c-8362-c4dd2ce9f315 11 c510e215-04c9-4a12-9e1d-d7d449e840f6 Group d5a5685a-5bf3-45a2-1c32-1a54a0d1a10e 69663e7d-f412-4b90-ba83-520c906eaeec Geometry (Surfaces) Builds nesting parts from planar surfaces instead of curves; holes are read from the surface boundaries. 543dbace-4384-427a-a47b-3d3df303c479 Geometry (Surfaces) Geometry Srf 229 152 147 124 301 214 true 6 919e146f-30ae-4aae-be34-4d72f555e7da 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 cb95db89-6165-43b6-9c41-5702bc5bf137 2e3ab970-8545-46bb-836c-1c11e5610bce 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 ac2bc2cb-70fb-4dd5-9c78-7e1ea97fe278 2 8ec86459-bf01-4409-baee-174d0d2b13d0 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 1 Planar boundary surfaces. If you want to nest multiple sheets partition surfaces into the data-tree. 0707b6d0-0e1a-47be-b3ab-88c5175a0d95 Surfaces Surfaces false db667a59-4e8f-460d-862b-8d81f442787a 1 231 154 55 20 260 164 true segment divisions 0 takes only ends x>0 divides by distance x<0 max 3 points per sub-segment) cefabce2-5af3-481d-a8f2-33ea7e1848e7 Simplify Simplify true 0 231 174 55 20 260 184 true 1 1 {0} 10 Use the convex hull of each simplified outline. 97eed8ba-7dd9-42fe-b724-fc5ee9960219 Hull Hull true 0 231 194 55 20 260 204 true 1 1 {0} false 1 Number of copies per part. f80c5877-c11f-44d9-b4c8-d3b6aea3c4d1 Copies Copies true 0 231 214 55 20 260 224 true Clearance offset for NESTING only (model units; 0 = OFF, fast). Parts: outer grows / holes shrink so placed parts keep this gap. The ORIGINAL curves are still what get placed/output. 0b475a1b-1f8f-413a-8dc2-82279c4518d1 Offset Offset true 0 231 234 55 20 260 244 true 1 1 {0} 0 1 Additional geometry: points, lines, surfaces, meshes... Use data-tree, one list of additional geometry per branch.. 0e6716e0-a7dc-4d05-a212-8eebe503e581 Attributes Attributes true 0 231 254 55 20 260 264 true 1 Nesting parts ready for the solver. c36ac145-910d-4d85-834a-c6680c2eeece Geometry Geometry false 0 316 154 58 60 345 184 true 1 Outline curves of each part. 5b85af72-4b81-4a6b-aa08-8780373654fa Borders Borders false 0 316 214 58 60 345 244 true 7f5c6c55-f846-4a08-9c9a-cfdc285cc6fe Scribble false 177.91441 -125.435745 468.90076 -125.435745 468.90076 -83.90254 177.91441 -83.90254 A quick note Arial cea88fd5-baa6-4c5f-8477-b91ddf003c1f true Scribble Scribble 20 Support with a coffee or beer: https://ko-fi.com/petrasvestartas 172.91441 -130.43575 300.98633 51.533203 177.91441 -125.435745 2844fec5-142d-4381-bd5d-4cbcef6d6fed Sketch A series of doodles 107a7391-1ea0-42f7-9930-689615465afb 379 Sketch Sketch 26.708641 -133.46642 121.88642 125.735756 255;0;0;0 0 2 112.58909916450193 -87.2080718255238 128.71620504873 -80.00080697045814 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5 00000000-0000-0000-0000-000000000000 Grasshopper.Kernel.Types.GH_Surface 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 5 00000000-0000-0000-0000-000000000000 Grasshopper.Kernel.Types.GH_Surface d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 Curve Contains a collection of generic curves 38cc61e2-5ad1-476a-ab37-6166cee802fc Curve Crv false 0 169 38 50 20 194.32816 48.111412 1 1 {0} -1 YmBkYGD4DwQgGgR4mIBEeFBGZl6+c35ubn6ejkJYalFxZn6erYWesaGekZmhkZmeobGJsaGOgnNpTklpUaptXmppSVFijo5CQGlSTmayd2plSH52ap6tqamRkYVhqqV5srmpqamxASvIFhmw4Xruqfm5qSVFlXoB+TmVOZl5qc6lRWWpLEAF7GUQC7kSi5IzMstSjVNyOfMLUvPySouSillSEksSQYo4ODiYQG4VUGdgMAI5vEmYh5MZyOAHEV+BmOlXPRPDS6i/fv9nYhCBsp9due7n/vKy4P6nDALNjEof/Obsvv0HKL8RKi/ACiSsbliWqX1b5nDw3mLtt2zBB6ByDOrnD4grlm7FKb79ZrNIhNoUB5g4zBxc4ujmgOyGgV98E6P1Ehc7GNy5kHqQZa3D1K8bHnw32gHl73UA+TSOs8z8fz1TA0wPN5J+wgAAAAD//wMA 5 00000000-0000-0000-0000-000000000000 deaf8653-5528-4286-807c-3de8b8dad781 Surface Contains a collection of generic surfaces db667a59-4e8f-460d-862b-8d81f442787a Surface Srf false c2611447-a8ed-4ccb-b603-acd2b1cfdd2f 1 141 154 50 20 166.66809 164.58202 11e19ce6-e1a3-47b1-9a91-ecc987d1dfca 69663e7d-f412-4b90-ba83-520c906eaeec Sheets Defines the sheets to nest onto (with optional holes) from closed polylines; supports gap, rows and copies. 18e1783d-e830-4796-a0de-67f5a2581766 Sheets Sheets 228 36 137 104 295 88 5 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 3e8ca6be-fda8-4aaf-b5c0-3c54c8bb7312 2 8ec86459-bf01-4409-baee-174d0d2b13d0 d5967b9f-e8ee-436b-a8ad-29fdcecf32d5 2 Closed sheet polylines, with optional holes. 63725416-9d5a-42bd-81f0-37f18369a56f Polylines Polylines false 38cc61e2-5ad1-476a-ab37-6166cee802fc 1 230 38 50 20 256.5 48 1 Gap between sheets. 32b17c8b-ab22-42b5-a787-d43e399f1b8d Gap Gap true 0 230 58 50 20 256.5 68 1 1 {0} 0.1 1 Number of sheets per row before partitioning. 05d7025e-daeb-455a-a346-e8badf069849 Rows Rows true 0 230 78 50 20 256.5 88 Number of copies of the same sheet. f9aac096-25cc-4edb-b922-965da43f6df5 Copies Copies true 0 230 98 50 20 256.5 108 Inward MARGIN for nesting (model units; 0 = OFF, fast). Parts keep this setback from the sheet edge; any sheet holes grow by it. 597000aa-480c-454d-9b7d-4e852b3b291d Offset Offset true 0 230 118 50 20 256.5 128 1 1 {0} 0 OpenNest nest_sheets data type. e2e1521c-12ca-4399-b7b8-5b8a6a758d5f Sheets Sheets false 0 310 38 53 50 336.5 63 2 Generated sheet outline polylines. fa30e0f7-52a4-4ea1-aa55-bc4c0bdb52dd Polylines Polylines false 0 310 88 53 50 336.5 113 57da07bd-ecab-415d-9d86-af36d7073abc Number Slider Numeric slider for single values 900b7fff-803d-4d1e-9ab7-95db6db874eb Number Slider false 0 197 302 179 20 197.16937 302.61163 3 1 1 1000 0 0 1000 b3d9f2a7-5c41-4e8a-9d6b-2a0f1c3e4d58 69663e7d-f412-4b90-ba83-520c906eaeec OpenNestCollision Nests parts onto sheets with the physics collision solver - packs tightly and can fill part cavities. Feed it the Sheets and Geometry components. e678f8b1-0cfb-4cbe-b7fc-307f31bb9ce3 OpenNestCollision OpenNestCollision 1 1 0 MecSoft_Font-1 1 3600 48 100 1 false 486 133 162 168 558 205 From OpenNest tab, use component Sheets. 8c952ca4-ac1d-42cd-9c6b-fb1740c78318 Sheets Sheets false e2e1521c-12ca-4399-b7b8-5b8a6a758d5f 1 488 135 55 35 517 152.5 From OpenNest tab, use component Geometry. ce9582a4-eb86-4ef1-a36c-ee63cd3e8255 Geometry Geometry false c36ac145-910d-4d85-834a-c6680c2eeece 1 488 170 55 35 517 187.5 Relaxation rounds; higher packs tighter but is slower. ~4000 = the tight all-on-one-sheet pack; lower for a quick rough preview. cffba9e1-1a95-4abe-92bf-9f054b118efb Iterations Iterations true 900b7fff-803d-4d1e-9ab7-95db6db874eb 1 488 205 55 35 517 222.5 1 1 {0} 4000 Wire a Boolean Toggle. TRUE = solve now and re-solve when an input changes (background thread, live preview); FALSE = hold the last result. (Options are still edited on the component body; ESC also stops a running solve.) b95a986d-f923-408f-9b7e-b3cf7fa3c162 Run Run true be1691c5-1bf4-435b-8ab3-52e94904a7f8 1 488 240 55 35 517 257.5 1 1 {0} false 2 Sheet outline polylines used for nesting. true 517f9fe7-4c2e-48ad-8806-3e549fc30150 Sheets Sheets false 0 573 135 73 20 609.5 145 2 Placed part outline curves. true 12824554-f3b5-42e0-8b62-63890ad66dbc Borders Borders false 0 573 155 73 20 609.5 165 2 All placed part geometry. true 7d6ea239-15c6-42ce-9bfa-b84bf86c5d34 All Geo All Geometry false 0 573 175 73 20 609.5 185 2 Placement transforms for each part. 657475d8-62d7-4839-a119-379f31e85950 Transforms Transforms false 0 573 195 73 20 609.5 205 2 Index of the sheet each part landed on. fd62146f-c37c-44dc-b886-12d33374ff50 Sheet Id Sheet Id false 0 573 215 73 20 609.5 225 2 Sheet-number label curves. true 84ca3db9-b890-4794-9996-c9601d62efcb Sheet Txt Sheet Txt false 0 573 235 73 20 609.5 245 2 Per-part attribute geometry. true 01706422-d0d7-475e-bae2-180397d329ab Attributes Attributes false 0 573 255 73 20 609.5 265 2e78987b-9dfb-42a2-8b76-3923ac8bd91a Boolean Toggle Boolean (true/false) toggle be1691c5-1bf4-435b-8ab3-52e94904a7f8 Boolean Toggle Toggle false 0 false 269 330 104 22 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