0 2 2 1 0 8 c1f46f62-14a5-4965-a0b1-5c4c6563c201 Shaded 1 100;150;0;0 100;0;150;0 639162675949008481 false opennestcollision.ghx 0 -148 167 1.25 0 0 3 Robert McNeel & Associates 00000000-0000-0000-0000-000000000000 Grasshopper 8.31.26126.13431 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 7f5c6c55-f846-4a08-9c9a-cfdc285cc6fe Scribble false 187.4438 -131.90634 478.4301 -131.90634 478.4301 -90.37314 187.4438 -90.37314 A quick note Arial 043c6326-0f13-4bd5-8891-14d03b440149 true Scribble Scribble 20 Support with a coffee or beer: https://ko-fi.com/petrasvestartas 182.4438 -136.90634 300.98633 51.533203 187.4438 -131.90634 2844fec5-142d-4381-bd5d-4cbcef6d6fed Sketch A series of doodles d5385ccc-4c6b-463a-a87f-f70360bb5d6a 379 Sketch Sketch 36.238037 -139.93701 121.88642 125.735756 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5 00000000-0000-0000-0000-000000000000 1 {47;0} -1 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5 00000000-0000-0000-0000-000000000000 57da07bd-ecab-415d-9d86-af36d7073abc Number Slider Numeric slider for single values a9a05e2d-10fc-43e8-9158-0bc5da86b795 Number Slider false 0 261 261 179 20 261.65204 261.83398 3 1 1 1000000 0 0 10000 d5a8325a-5bf3-45a2-1c32-1a54a0d1a10e 69663e7d-f412-4b90-ba83-520c906eaeec Geometry Prepares parts for nesting: separates outlines (with holes) from attached attributes; optional simplify, convex hull and copies. true 6679d3aa-c817-4fc6-a467-a3f989fa5035 Geometry Geometry 298 124 147 124 370 186 6 ac2bc2cb-70fb-4dd5-9c78-7e1ea97fe278 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 2 Closed curves OR planar surfaces (cast per type internally). If geometries have holes, create a data-tree first. Place each element into indivdual branch. Otherwise the algoritm will try to order polylines by checking possible holes. bca888ea-3613-4ec5-a723-2dae90646e2c Outlines Outlines false 93b5cefe-48c1-4a1b-b44a-79327dd37641 1 300 126 55 20 329 136 segment divisions 0 = KEEP ALL vertices (no simplification - best for nesting fine outlines) x>0 divides by distance x<0 max 3 points per sub-segment (merges colinear within 10deg) a9160635-9f55-4678-a0df-56ea6387f3b5 Simplify Simplify true 0 300 146 55 20 329 156 1 1 {0} -100 Replace each outline with its convex hull 0195bf0c-5693-45c9-bfbb-13822e3d240a Hull Hull true 0 300 166 55 20 329 176 1 1 {0} false 1 Number of copies per part 940e984a-9eb8-4c3f-a306-2042317b7bf0 Copies Copies true 0 300 186 55 20 329 196 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. 3850ecc3-a84e-4691-b607-44d6323c816f Offset Offset true 0 300 206 55 20 329 216 1 1 {0} 0 2 Additional geometry: points, lines, surfaces, meshes... Use data-tree, one list of additional geometry per branch.. 5129848b-5677-48b5-8386-2bcca8f2b560 Attributes Attributes true 0 300 226 55 20 329 236 1 Prepared parts ready for nesting ef087afb-0c60-4405-8962-435fc8dfd803 Geometry Geometry false 0 385 126 58 60 414 156 2 Outline border curves per part e5bc06b9-6105-4da7-8e2a-f4b9e846f66f Borders Borders false 0 385 186 58 60 414 216 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. true 7c34ab9c-b621-413c-b1ce-b7812a8ea3a3 Sheets Sheets 300 13 137 104 367 65 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. b4a66985-d46a-40e0-99af-cdf6c8467de0 Polylines Polylines false 6a13848f-b824-424e-a770-f5cb73094c83 1 302 15 50 20 328.5 25 1 Gap between sheets. b815687c-e6e2-41e8-b9ff-b81782c87bff Gap Gap true 0 302 35 50 20 328.5 45 1 1 {0} 0.1 1 Number of sheets per row before partitioning. f2027780-2d7d-4453-8905-ff1fbd668c75 Rows Rows true 0 302 55 50 20 328.5 65 Number of copies of the same sheet. f63d2de7-34e4-4462-b355-5b6e5f8fb26d Copies Copies true 0 302 75 50 20 328.5 85 Inward MARGIN for nesting (model units; 0 = OFF, fast). Parts keep this setback from the sheet edge; any sheet holes grow by it. 42f3dd26-3647-41a7-932b-fe83e3c69a32 Offset Offset true 0 302 95 50 20 328.5 105 1 1 {0} 0 OpenNest nest_sheets data type. a091dad2-df18-4a99-95f2-da4d2af2e65c Sheets Sheets false 0 382 15 53 50 408.5 40 2 Generated sheet outline polylines. 3cecad40-1867-4490-ae17-97418b81b57e Polylines Polylines false 0 382 65 53 50 408.5 90 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. c95af43d-3d88-4452-be57-3d4157a57802 OpenNestCollision OpenNestCollision 1 1 0 MecSoft_Font-1 1 3600 48 100 1 true 524 29 162 331 596 101 From OpenNest tab, use component Sheets. 5b6a219c-407f-4693-8d0e-0a5b64d07cbc Sheets Sheets false a091dad2-df18-4a99-95f2-da4d2af2e65c 1 526 31 55 35 555 48.5 From OpenNest tab, use component Geometry. c6f593cd-78e4-43a8-bd06-2601fcd4e433 Geometry Geometry false ef087afb-0c60-4405-8962-435fc8dfd803 1 526 66 55 35 555 83.5 Relaxation rounds; higher packs tighter but is slower. ~4000 = the tight all-on-one-sheet pack; lower for a quick rough preview. a9f00f08-1c31-4ec7-8ed1-3869aa0ef534 Iterations Iterations true a9a05e2d-10fc-43e8-9158-0bc5da86b795 1 526 101 55 35 555 118.5 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.) 67cb2940-4c41-46ad-b299-6f5eeb879d9e Run Run true 332e00a6-63d5-4548-8b9e-d109df1f2ab5 1 526 136 55 35 555 153.5 1 1 {0} false 2 Sheet outline polylines used for nesting. true fae95b2b-a47b-46b0-994c-ea781ad797e2 Sheets Sheets false 0 611 31 73 20 647.5 41 2 Placed part outline curves. true 49b64cdf-340c-4874-ab51-30c027f8da86 Borders Borders false 0 611 51 73 20 647.5 61 2 All placed part geometry. true 478499e6-11f6-4760-94b2-7f706b558493 All Geo All Geometry false 0 611 71 73 20 647.5 81 2 Placement transforms for each part. f784cd9a-38fd-46d7-8d77-2edb2bfd3922 Transforms Transforms false 0 611 91 73 20 647.5 101 2 Index of the sheet each part landed on. 7f532471-5383-49e7-aca3-3be2148f11d3 Sheet Id Sheet Id false 0 611 111 73 20 647.5 121 2 Sheet-number label curves. true 53aaf57e-5c22-461a-937e-f997f0cd4e67 Sheet Txt Sheet Txt false 0 611 131 73 20 647.5 141 2 Per-part attribute geometry. true e1d23ecd-0ef9-4b23-920e-b6ffdae39740 Attributes Attributes false 0 611 151 73 20 647.5 161 2e78987b-9dfb-42a2-8b76-3923ac8bd91a Boolean Toggle Boolean (true/false) toggle 332e00a6-63d5-4548-8b9e-d109df1f2ab5 Boolean Toggle Toggle false 0 false 342 287 104 22 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