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ISPITIVANJE_CVRSTOCE_FDM_3D…/software/GRID_FINAL.ipynb
2025-09-07 00:20:34 +02:00

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{
"cells": [
{
"cell_type": "code",
"execution_count": 115,
"id": "4ba3c61a-034e-4f09-85b5-33b3071fe265",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 600x600 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 700x350 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 700x350 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"==== Grid ispuna 20.0% ====\n",
"XY ukupna povrsina = 841.3408 mm^2\n",
" Povrsina ljuski = 594.4840 mm^2\n",
" Povrsina ispune = 246.8568 mm^2\n",
"-- Presjeci kroz Z (uzorak konstantan po Z) --\n",
"Duzina po X @ y=1.000 mm: 5.4318 mm\n",
"Duzina po Y @ x=-2.000 mm: 41.9024 mm\n",
"Povrsina XZ @ y=1.000: 54.3179 mm^2 (Z=10.000 mm)\n",
"Povrsina YZ @ x=-2.000: 419.0238 mm^2 (Z=10.000 mm)\n",
"MIN XZ povrsina = 31.7897 mm^2 @ y = 9.011 mm\n",
"MAX XZ povrsina = 54.5682 mm^2 @ y = 22.979 mm\n",
"MIN YZ povrsina = 229.7872 mm^2 @ x = 4.981 mm\n",
"MAX YZ povrsina = 1802.2528 mm^2 @ x = 0.501 mm\n",
"\n",
"A_xz(y=1mm) = 54.31789737171478 mm^2\n",
"A_yz(x=-2mm) = 419.02377972464365 mm^2\n",
"MIN/MAX XZ: 31.78973717146441 @ y = 9.01126408010012 mm | 54.56821026282867 @ y = 22.97872340425532 mm\n",
"MIN/MAX YZ: 229.78723404254652 @ x = 4.981226533166458 mm | 1802.2528160199727 @ x = 0.5006257822277851 mm\n"
]
}
],
"source": [
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"\n",
"def _udaljenost_mod(u, razmak):\n",
" r = np.mod(u, razmak)\n",
" return np.minimum(r, razmak - r)\n",
"\n",
"def _pravocrtna_maska(XX, YY, razmak, sirina_linije, kut_stupnjevi=0.0, faza=0.0):\n",
" th = np.deg2rad(kut_stupnjevi)\n",
" u = XX * np.cos(th) + YY * np.sin(th)\n",
" dist = _udaljenost_mod(u + faza, razmak)\n",
" return dist <= (sirina_linije / 2.0)\n",
"\n",
"def _razmak_za_gustocu_mreze(sirina_linije, f):\n",
" f = float(np.clip(f, 0.0, 1.0))\n",
" if f <= 0.0:\n",
" return np.inf\n",
" if f >= 1.0:\n",
" return sirina_linije\n",
" r = 1.0 - np.sqrt(1.0 - f)\n",
" return sirina_linije / r\n",
"\n",
"def izracun_povrsine(XX, YY, maska):\n",
" if not np.any(maska):\n",
" return {\"A\": 0.0}\n",
" dx = XX[0, 1] - XX[0, 0]\n",
" dy = YY[1, 0] - YY[0, 0]\n",
" dA = dx * dy\n",
" A = float(np.count_nonzero(maska) * dA)\n",
" return {\"A\": A}\n",
"\n",
"def prusa_mreza_ili_pravocrtna(\n",
" sirina, visina,\n",
" udio_ispune,\n",
" sirina_linije=0.42,\n",
" slojevi_ljuske=2,\n",
" osnovni_kut_ispune_stupnjevi=45.0,\n",
" mreza=True,\n",
" z_visina=0.0, \n",
" faza_po_mm=0.0,\n",
" # Poprečni presjeci kroz Z\n",
" z_visina_objekta=None, \n",
" y_ravnina=0.0, \n",
" x_ravnina=0.0, \n",
" N=800,\n",
" graficki_prikaz=True,\n",
" detaljno=True\n",
"):\n",
" xs = np.linspace(-sirina/2, sirina/2, N)\n",
" ys = np.linspace(-visina/2, visina/2, N)\n",
" XX, YY = np.meshgrid(xs, ys)\n",
"\n",
" shell_mask = np.zeros_like(XX, dtype=bool)\n",
" for i in range(slojevi_ljuske):\n",
" off = (i + 0.5) * sirina_linije\n",
" shell_mask |= np.abs(XX - (-sirina/2 + off)) <= (sirina_linije / 2)\n",
" shell_mask |= np.abs(XX - ( +sirina/2 - off)) <= (sirina_linije / 2)\n",
" shell_mask |= np.abs(YY - (-visina/2 + off)) <= (sirina_linije / 2)\n",
" shell_mask |= np.abs(YY - ( +visina/2 - off)) <= (sirina_linije / 2)\n",
"\n",
" unutarnji_pomak = slojevi_ljuske * sirina_linije\n",
" unutarnji_pravokutnik = (\n",
" (np.abs(XX) <= (sirina/2 - unutarnji_pomak)) &\n",
" (np.abs(YY) <= (visina/2 - unutarnji_pomak))\n",
" )\n",
"\n",
" if udio_ispune <= 0.0:\n",
" infill_mask = np.zeros_like(XX, dtype=bool)\n",
" elif udio_ispune >= 1.0:\n",
" razmak = sirina_linije\n",
" maske = []\n",
" kutevi = [osnovni_kut_ispune_stupnjevi] + ([osnovni_kut_ispune_stupnjevi + 90] if mreza else [])\n",
" faza = faza_po_mm * z_visina\n",
" for a in kutevi:\n",
" maske.append(_pravocrtna_maska(XX, YY, razmak, sirina_linije, kut_stupnjevi=a, faza=faza))\n",
" infill_mask = np.logical_or.reduce(maske) & unutarnji_pravokutnik\n",
" else:\n",
" razmak = _razmak_za_gustocu_mreze(sirina_linije, udio_ispune) if mreza \\\n",
" else sirina_linije / udio_ispune\n",
" maske = []\n",
" kutevi = [osnovni_kut_ispune_stupnjevi] + ([osnovni_kut_ispune_stupnjevi + 90] if mreza else [])\n",
" faza = faza_po_mm * z_visina\n",
" for a in kutevi:\n",
" maske.append(_pravocrtna_maska(XX, YY, razmak, sirina_linije, kut_stupnjevi=a, faza=faza))\n",
" infill_mask = np.logical_or.reduce(maske) & unutarnji_pravokutnik\n",
"\n",
" konacna_maska = shell_mask | infill_mask\n",
"\n",
" if graficki_prikaz:\n",
" plt.figure(figsize=(6, 6))\n",
" img = np.where(konacna_maska, 1.0, np.nan)\n",
" plt.imshow(img, origin='lower',\n",
" extent=[-sirina/2, sirina/2, -visina/2, visina/2],\n",
" interpolation='nearest')\n",
" naslov = \"Grid\" if mreza else \"Pravocrtna\"\n",
" plt.title(f\"{naslov} @ {udio_ispune*100:.1f}% | ljuske={slojevi_ljuske}×{sirina_linije:.2f} kut={osnovni_kut_ispune_stupnjevi:.0f}°\")\n",
" plt.xlabel(\"X (mm)\")\n",
" plt.ylabel(\"Y (mm)\")\n",
" plt.gca().set_aspect('equal', 'box')\n",
" plt.grid(True)\n",
" # vodilice\n",
" plt.hlines(y_ravnina, -sirina/2, sirina/2, linestyles='--')\n",
" plt.vlines(x_ravnina, -visina/2, visina/2, linestyles='--')\n",
" plt.show()\n",
"\n",
" total = izracun_povrsine(XX, YY, konacna_maska)\n",
" ljuske = izracun_povrsine(XX, YY, shell_mask)\n",
" A_ispuna = total[\"A\"] - ljuske[\"A\"]\n",
"\n",
" dx = XX[0, 1] - XX[0, 0]\n",
" dy = YY[1, 0] - YY[0, 0]\n",
" ys_centered = YY[:, 0]\n",
" xs_centered = XX[0, :]\n",
" row = int(np.argmin(np.abs(ys_centered - y_ravnina)))\n",
" col = int(np.argmin(np.abs(xs_centered - x_ravnina)))\n",
"\n",
" duzina_x_na_y = float(np.count_nonzero(konacna_maska[row, :]) * dx)\n",
" duzina_y_na_x = float(np.count_nonzero(konacna_maska[:, col]) * dy)\n",
"\n",
" povrsina_xz_na_y = None\n",
" povrsina_yz_na_x = None\n",
" if z_visina_objekta is not None and z_visina_objekta > 0:\n",
" povrsina_xz_na_y = duzina_x_na_y * z_visina_objekta\n",
" povrsina_yz_na_x = duzina_y_na_x * z_visina_objekta\n",
"\n",
" duzina_x_vs_y = np.count_nonzero(konacna_maska, axis=1) * dx\n",
" duzina_y_vs_x = np.count_nonzero(konacna_maska, axis=0) * dy\n",
"\n",
" if z_visina_objekta is not None and z_visina_objekta > 0:\n",
" povrsina_xz_vs_y = duzina_x_vs_y * z_visina_objekta\n",
" povrsina_yz_vs_x = duzina_y_vs_x * z_visina_objekta\n",
" y_oznaka = \"Povrsina XZ presjeka (mm^2)\"\n",
" x_oznaka = \"Povrsina YZ presjeka (mm^2)\"\n",
" else:\n",
" povrsina_xz_vs_y = duzina_x_vs_y\n",
" povrsina_yz_vs_x = duzina_y_vs_x\n",
" y_oznaka = \"Duzina po X (mm) [postavi z_visina_objekta za povrsinu]\"\n",
" x_oznaka = \"Duzina po Y (mm) [postavi z_visina_objekta za povrsinu]\"\n",
"\n",
" y_os_0_do_H = ys_centered + visina/2.0 # 0 .. H\n",
" x_os_0_do_W = xs_centered + sirina/2.0 # 0 .. W\n",
"\n",
" # ==== NOVO: minimumi i maksimumi za XZ i YZ (samo srednji dio) ====\n",
" # definiraj margine koje ćeš izbaciti (npr. 5% s obje strane)\n",
" margin_frac = 0.05 \n",
" n_y = len(povrsina_xz_vs_y)\n",
" n_x = len(povrsina_yz_vs_x)\n",
" start_y, end_y = int(margin_frac * n_y), int((1 - margin_frac) * n_y)\n",
" start_x, end_x = int(margin_frac * n_x), int((1 - margin_frac) * n_x)\n",
" \n",
" # XZ presjek (po y)\n",
" idx_min_xz = start_y + int(np.argmin(povrsina_xz_vs_y[start_y:end_y]))\n",
" idx_max_xz = start_y + int(np.argmax(povrsina_xz_vs_y[start_y:end_y]))\n",
" min_povrsina_xz = float(povrsina_xz_vs_y[idx_min_xz])\n",
" max_povrsina_xz = float(povrsina_xz_vs_y[idx_max_xz])\n",
" y_min_xz_mm = float(y_os_0_do_H[idx_min_xz])\n",
" y_max_xz_mm = float(y_os_0_do_H[idx_max_xz])\n",
" \n",
" # YZ presjek (po x)\n",
" idx_min_yz = start_x + int(np.argmin(povrsina_yz_vs_x[start_x:end_x]))\n",
" idx_max_yz = start_x + int(np.argmax(povrsina_yz_vs_x[start_x:end_x]))\n",
" min_povrsina_yz = float(povrsina_yz_vs_x[idx_min_yz])\n",
" max_povrsina_yz = float(povrsina_yz_vs_x[idx_max_yz])\n",
" x_min_yz_mm = float(x_os_0_do_W[idx_min_yz])\n",
" x_max_yz_mm = float(x_os_0_do_W[idx_max_yz])\n",
" # ================================================================\n",
"\n",
"\n",
" if graficki_prikaz:\n",
" plt.figure(figsize=(7, 3.5))\n",
" plt.plot(y_os_0_do_H, povrsina_xz_vs_y)\n",
" plt.xlabel(\"y od donjeg zida (mm)\")\n",
" plt.ylabel(y_oznaka)\n",
" plt.title(\"Varijacija prema y\")\n",
" plt.grid(True)\n",
" plt.xlim(0, visina)\n",
" # markeri min/max\n",
" plt.scatter([y_min_xz_mm, y_max_xz_mm], [min_povrsina_xz, max_povrsina_xz])\n",
" plt.tight_layout()\n",
" plt.show()\n",
"\n",
" plt.figure(figsize=(7, 3.5))\n",
" plt.plot(x_os_0_do_W, povrsina_yz_vs_x)\n",
" plt.xlabel(\"x od lijevog zida (mm)\")\n",
" plt.ylabel(x_oznaka)\n",
" plt.title(\"Varijacija prema x\")\n",
" plt.grid(True)\n",
" plt.xlim(0, sirina)\n",
" # markeri min/max\n",
" plt.scatter([x_min_yz_mm, x_max_yz_mm], [min_povrsina_yz, max_povrsina_yz])\n",
" plt.tight_layout()\n",
" plt.show()\n",
"\n",
" if detaljno:\n",
" print(f\"==== {('Grid' if mreza else 'Pravocrtna')} ispuna {udio_ispune*100:.1f}% ====\")\n",
" print(f\"XY ukupna povrsina = {total['A']:.4f} mm^2\")\n",
" print(f\" Povrsina ljuski = {ljuske['A']:.4f} mm^2\")\n",
" print(f\" Povrsina ispune = {A_ispuna:.4f} mm^2\")\n",
" print(f\"-- Presjeci kroz Z (uzorak konstantan po Z) --\")\n",
" print(f\"Duzina po X @ y={y_ravnina:.3f} mm: {duzina_x_na_y:.4f} mm\")\n",
" print(f\"Duzina po Y @ x={x_ravnina:.3f} mm: {duzina_y_na_x:.4f} mm\")\n",
" if povrsina_xz_na_y is not None:\n",
" print(f\"Povrsina XZ @ y={y_ravnina:.3f}: {povrsina_xz_na_y:.4f} mm^2 (Z={z_visina_objekta:.3f} mm)\")\n",
" if povrsina_yz_na_x is not None:\n",
" print(f\"Povrsina YZ @ x={x_ravnina:.3f}: {povrsina_yz_na_x:.4f} mm^2 (Z={z_visina_objekta:.3f} mm)\")\n",
" # NOVO: ispis min/max\n",
" print(f\"MIN XZ povrsina = {min_povrsina_xz:.4f} mm^2 @ y = {y_min_xz_mm:.3f} mm\")\n",
" print(f\"MAX XZ povrsina = {max_povrsina_xz:.4f} mm^2 @ y = {y_max_xz_mm:.3f} mm\")\n",
" print(f\"MIN YZ povrsina = {min_povrsina_yz:.4f} mm^2 @ x = {x_min_yz_mm:.3f} mm\")\n",
" print(f\"MAX YZ povrsina = {max_povrsina_yz:.4f} mm^2 @ x = {x_max_yz_mm:.3f} mm\")\n",
" print()\n",
"\n",
" return {\n",
" \"maska\": konacna_maska,\n",
" \"XX\": XX, \"YY\": YY,\n",
" \"dx\": dx, \"dy\": dy,\n",
" \"povrsina_ukupno_xy\": total[\"A\"],\n",
" \"povrsina_ljuske_xy\": ljuske[\"A\"],\n",
" \"povrsina_ispune_xy\": A_ispuna,\n",
" \"duzina_x_na_y\": duzina_x_na_y,\n",
" \"duzina_y_na_x\": duzina_y_na_x,\n",
" \"povrsina_xz_na_y\": povrsina_xz_na_y,\n",
" \"povrsina_yz_na_x\": povrsina_yz_na_x,\n",
" \"y_os_mm\": y_os_0_do_H,\n",
" \"x_os_mm\": x_os_0_do_W,\n",
" \"povrsina_xz_vs_y\": povrsina_xz_vs_y,\n",
" \"povrsina_yz_vs_x\": povrsina_yz_vs_x,\n",
" # NOVO: min/max rezultati\n",
" \"min_povrsina_xz\": min_povrsina_xz,\n",
" \"max_povrsina_xz\": max_povrsina_xz,\n",
" \"y_min_xz_mm\": y_min_xz_mm,\n",
" \"y_max_xz_mm\": y_max_xz_mm,\n",
" \"min_povrsina_yz\": min_povrsina_yz,\n",
" \"max_povrsina_yz\": max_povrsina_yz,\n",
" \"x_min_yz_mm\": x_min_yz_mm,\n",
" \"x_max_yz_mm\": x_max_yz_mm,\n",
" }\n",
"\n",
"# Konfiguracija\n",
"if __name__ == \"__main__\":\n",
" W, H = 10, 180\n",
" Z = 10\n",
" res = prusa_mreza_ili_pravocrtna(\n",
" sirina=W, visina=H,\n",
" udio_ispune=0.2,\n",
" sirina_linije=0.8,\n",
" slojevi_ljuske=2,\n",
" osnovni_kut_ispune_stupnjevi=45.0,\n",
" mreza=True,\n",
" z_visina_objekta=Z, \n",
" y_ravnina=+1.0, \n",
" x_ravnina=-2.0, \n",
" N=800,\n",
" graficki_prikaz=True, detaljno=True\n",
" )\n",
" print(\"A_xz(y=1mm) =\", res[\"povrsina_xz_na_y\"], \"mm^2\")\n",
" print(\"A_yz(x=-2mm) =\", res[\"povrsina_yz_na_x\"], \"mm^2\")\n",
" print(\"MIN/MAX XZ:\", res[\"min_povrsina_xz\"], \"@ y =\", res[\"y_min_xz_mm\"], \"mm | \",\n",
" res[\"max_povrsina_xz\"], \"@ y =\", res[\"y_max_xz_mm\"], \"mm\")\n",
" print(\"MIN/MAX YZ:\", res[\"min_povrsina_yz\"], \"@ x =\", res[\"x_min_yz_mm\"], \"mm | \",\n",
" res[\"max_povrsina_yz\"], \"@ x =\", res[\"x_max_yz_mm\"], \"mm\")\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "6d0d580b-3b46-493b-9666-1c7d5820d608",
"metadata": {},
"outputs": [],
"source": []
}
],
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"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
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