|
| 1 | +{ |
| 2 | + "cells": [ |
| 3 | + { |
| 4 | + "attachments": {}, |
| 5 | + "cell_type": "markdown", |
| 6 | + "metadata": {}, |
| 7 | + "source": [ |
| 8 | + "# Design files: Quads design (3dp pla + blue shims) for switching between focusing and protection\n" |
| 9 | + ] |
| 10 | + }, |
| 11 | + { |
| 12 | + "attachments": {}, |
| 13 | + "cell_type": "markdown", |
| 14 | + "metadata": {}, |
| 15 | + "source": [ |
| 16 | + "## Imports" |
| 17 | + ] |
| 18 | + }, |
| 19 | + { |
| 20 | + "cell_type": "code", |
| 21 | + "execution_count": 1, |
| 22 | + "metadata": {}, |
| 23 | + "outputs": [ |
| 24 | + { |
| 25 | + "name": "stderr", |
| 26 | + "output_type": "stream", |
| 27 | + "text": [ |
| 28 | + "No GPU/TPU found, falling back to CPU. (Set TF_CPP_MIN_LOG_LEVEL=0 and rerun for more info.)\n" |
| 29 | + ] |
| 30 | + } |
| 31 | + ], |
| 32 | + "source": [ |
| 33 | + "from difflexmm.utils import load_data\n", |
| 34 | + "from scripts.fabrication import generate_clamped_sample_continuous_bond_drawing\n", |
| 35 | + "from problems.quads_focusing import OptimizationProblem\n", |
| 36 | + "from pathlib import Path\n", |
| 37 | + "\n", |
| 38 | + "import jax.numpy as jnp\n" |
| 39 | + ] |
| 40 | + }, |
| 41 | + { |
| 42 | + "cell_type": "markdown", |
| 43 | + "metadata": {}, |
| 44 | + "source": [ |
| 45 | + "## Paths" |
| 46 | + ] |
| 47 | + }, |
| 48 | + { |
| 49 | + "cell_type": "code", |
| 50 | + "execution_count": 2, |
| 51 | + "metadata": {}, |
| 52 | + "outputs": [], |
| 53 | + "source": [ |
| 54 | + "# Where to load/save data\n", |
| 55 | + "data_folder = Path(\"../../data/quads_focusing_3dp_pla_shims\")\n" |
| 56 | + ] |
| 57 | + }, |
| 58 | + { |
| 59 | + "cell_type": "markdown", |
| 60 | + "metadata": {}, |
| 61 | + "source": [ |
| 62 | + "## Problem info" |
| 63 | + ] |
| 64 | + }, |
| 65 | + { |
| 66 | + "cell_type": "markdown", |
| 67 | + "metadata": {}, |
| 68 | + "source": [ |
| 69 | + "NOTE: Either define the problem info here or load it from an optimization file." |
| 70 | + ] |
| 71 | + }, |
| 72 | + { |
| 73 | + "cell_type": "code", |
| 74 | + "execution_count": 3, |
| 75 | + "metadata": {}, |
| 76 | + "outputs": [], |
| 77 | + "source": [ |
| 78 | + "# NOTE: Units are mm, N, s\n", |
| 79 | + "\n", |
| 80 | + "# Retrieve design info from optimization data\n", |
| 81 | + "optimization_filename = f\"opt_with_angle_30_and_length_3_constraints_quads_24x16_excited_blocks_2_amplitude_7.50_loading_rate_30.00_input_shift_0_initial_angle_25.0_target_size_2x2_target_shift_4x5\"\n", |
| 82 | + "optimization = OptimizationProblem.from_dict(\n", |
| 83 | + " load_data(\n", |
| 84 | + " f\"{data_folder}/{optimization_filename}.pkl\",\n", |
| 85 | + " )\n", |
| 86 | + ")\n", |
| 87 | + "problem = optimization.forward_problem\n", |
| 88 | + "# Set up the forward problem to get the geometry\n", |
| 89 | + "problem.setup()\n", |
| 90 | + "geometry = problem.geometry\n", |
| 91 | + "\n", |
| 92 | + "# Select the best design\n", |
| 93 | + "design_values = optimization.design_values[-1]\n" |
| 94 | + ] |
| 95 | + }, |
| 96 | + { |
| 97 | + "cell_type": "markdown", |
| 98 | + "metadata": {}, |
| 99 | + "source": [ |
| 100 | + "## Drawings" |
| 101 | + ] |
| 102 | + }, |
| 103 | + { |
| 104 | + "cell_type": "code", |
| 105 | + "execution_count": 4, |
| 106 | + "metadata": {}, |
| 107 | + "outputs": [ |
| 108 | + { |
| 109 | + "name": "stdout", |
| 110 | + "output_type": "stream", |
| 111 | + "text": [ |
| 112 | + "Design size is 370.60x243.60 mm\n", |
| 113 | + "Saved at ../../data/quads_focusing_3dp_pla_shims/opt_with_angle_30_and_length_3_constraints_quads_24x16_excited_blocks_2_amplitude_7.50_loading_rate_30.00_input_shift_0_initial_angle_25.0_target_size_2x2_target_shift_4x5/svgs/opt_with_angle_30_and_length_3_constraints_quads_24x16_excited_blocks_2_amplitude_7.50_loading_rate_30.00_input_shift_0_initial_angle_25.0_target_size_2x2_target_shift_4x5.svg\n" |
| 114 | + ] |
| 115 | + } |
| 116 | + ], |
| 117 | + "source": [ |
| 118 | + "generate_clamped_sample_continuous_bond_drawing(\n", |
| 119 | + " geometry=geometry,\n", |
| 120 | + " block_centroids=geometry.block_centroids(*design_values),\n", |
| 121 | + " centroid_node_vectors=geometry.centroid_node_vectors(*design_values),\n", |
| 122 | + " bond_connectivity=geometry.bond_connectivity(),\n", |
| 123 | + " reference_bond_vectors=geometry.reference_bond_vectors(),\n", |
| 124 | + " n_blocks_clamped_corners=2,\n", |
| 125 | + " attachment_size=(15, 15),\n", |
| 126 | + " attachment_hole_size=4.2,\n", |
| 127 | + " offset_type=\"constant\", # [\"ratio\", \"constant\"]\n", |
| 128 | + " offset_size=3,\n", |
| 129 | + " path_orientation=\"column\",\n", |
| 130 | + " out_file=f\"{data_folder}/{optimization_filename}/svgs/{optimization_filename}.svg\",\n", |
| 131 | + ")\n" |
| 132 | + ] |
| 133 | + }, |
| 134 | + { |
| 135 | + "cell_type": "code", |
| 136 | + "execution_count": null, |
| 137 | + "metadata": {}, |
| 138 | + "outputs": [], |
| 139 | + "source": [] |
| 140 | + } |
| 141 | + ], |
| 142 | + "metadata": { |
| 143 | + "kernelspec": { |
| 144 | + "display_name": "blockymetamaterials-fbuxbt7l-py3.9", |
| 145 | + "language": "python", |
| 146 | + "name": "python3" |
| 147 | + }, |
| 148 | + "language_info": { |
| 149 | + "codemirror_mode": { |
| 150 | + "name": "ipython", |
| 151 | + "version": 3 |
| 152 | + }, |
| 153 | + "file_extension": ".py", |
| 154 | + "mimetype": "text/x-python", |
| 155 | + "name": "python", |
| 156 | + "nbconvert_exporter": "python", |
| 157 | + "pygments_lexer": "ipython3", |
| 158 | + "version": "3.9.16" |
| 159 | + }, |
| 160 | + "orig_nbformat": 4 |
| 161 | + }, |
| 162 | + "nbformat": 4, |
| 163 | + "nbformat_minor": 2 |
| 164 | +} |
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