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6ce0237e · Rolfes · 6ce0237e · 6ce0237e · 6ce0237e · 6ce0237e
Commit 6ce0237e authored 3 years ago by Rolfes
--- a/.ipynb_checkpoints/Balance_Binary-checkpoint.ipynb
+++ b/.ipynb_checkpoints/Balance_Binary-checkpoint.ipynb
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "valued-saskatchewan",
+   "metadata": {
+    "extensions": {
+     "jupyter_dashboards": {
+      "activeView": "grid_default",
+      "views": {
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+        "height": 3,
+        "hidden": false,
+        "row": 0,
+        "width": 10
+       }
+      }
+     }
+    },
+    "presto": {
+     "id": "e13f5e37-bda7-4588-b06b-83f75f0bb857"
+    },
+    "tags": []
+   },
+   "source": [
+    "## Binäre Bilanz "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "genuine-country",
+   "metadata": {
+    "extensions": {
+     "jupyter_dashboards": {
+      "activeView": "grid_default",
+      "views": {
+       "grid_default": {
+        "col": 0,
+        "height": 20,
+        "hidden": false,
+        "row": 3,
+        "width": 5
+       }
+      }
+     }
+    },
+    "tags": []
+   },
+   "source": [
+    "### Kennzeichen einer binären Bilanz\n",
+    "\n",
+    "* Nur __extensive__ Größen lassen sich bilanzieren\n",
+    "    * Beispiele: \n",
+    "        * Masse m, Stoffmenge n, Teilchenzahl N \n",
+    "        * Volumen V \n",
+    "        * innere Energie U\n",
+    "        * freie Energie F, freie Enthalpie G, Entropie S \n",
+    "        * Enthalpie H \n",
+    "        * elektrische Ladung Q\n",
+    "\n",
+    "\n",
+    "* eine binäre Bilanz summiert __zwei__ (binär) Größen zu einer Dritten\n",
+    "    * Beispiele:\n",
+    "        * $m_{AB} = m_A + m_B $\n",
+    "        * $n_{AB} = n_A + n_B $\n",
+    "        * $H_{AB} = H_A + H_B $\n",
+    "\n",
+    "\n",
+    "* Gehaltsangaben erweitern die Ausdrucksweise\n",
+    "    * Beispiele\n",
+    "        * Verhältnisse \\ Beladungen  z.B.  $\\quad\\zeta_{A}=\\tfrac{m_A}{m_B}$\n",
+    "        * Anteile \\ Gehalt z.B. $\\quad\\xi_{A}=\\tfrac{m_A}{m_A + m_B}$\n",
+    "        * Konzentration (bezug auf Volumen)   z.B. $\\quad\\beta_{A}=\\tfrac{m_A}{V_A + V_B}$"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "76ca1106-5032-4a20-abaf-b2b439dbffe8",
+   "metadata": {
+    "extensions": {
+     "jupyter_dashboards": {
+      "activeView": "grid_default",
+      "views": {
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+        "col": 5,
+        "height": 5,
+        "hidden": false,
+        "row": 3,
+        "width": 5
+       }
+      }
+     }
+    },
+    "tags": []
+   },
+   "source": [
+    "### Bedingungen zur Berechnung einer binären Bilanz\n",
+    "\n",
+    "* Zwei Größen müssen vorgeben werden\n",
+    "* von den zwei Größen muss eine extensiv sein \n",
+    "* Volumenberechnung kann nur bei __gleichen Druck und Temperatur__ erfolgen\n"
+   ]
+  },
+  {
+   "attachments": {
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+    }
+   },
+   "cell_type": "markdown",
+   "id": "e9ef6dfa-3343-4a59-b87e-3259c9d3b464",
+   "metadata": {
+    "extensions": {
+     "jupyter_dashboards": {
+      "activeView": "grid_default",
+      "views": {
+       "grid_default": {
+        "col": 5,
+        "height": 14,
+        "hidden": false,
+        "row": 8,
+        "width": 5
+       }
+      }
+     }
+    }
+   },
+   "source": [
+    "![biary_balance_1.jpg](attachment:fd6be7dd-f8a4-4b4d-8ba6-9936489a7e98.jpg)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ab70ee95-ce3c-4c4c-a7bc-2658a1a5d41a",
+   "metadata": {
+    "extensions": {
+     "jupyter_dashboards": {
+      "activeView": "grid_default",
+      "views": {
+       "grid_default": {
+        "col": null,
+        "height": 2,
+        "hidden": true,
+        "row": null,
+        "width": 2
+       }
+      }
+     }
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import nowo_base_1 as no_ba\n",
+    "import nowo_sim_binary as no_bi\n",
+    "import nowo_gui_base as no_gui\n",
+    "import nowo_log_base as no_log"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "eec838fd-a5a9-49c8-a873-07c0e3653622",
+   "metadata": {
+    "extensions": {
+     "jupyter_dashboards": {
+      "activeView": "grid_default",
+      "views": {
+       "grid_default": {
+        "col": null,
+        "height": 2,
+        "hidden": true,
+        "row": null,
+        "width": 2
+       }
+      }
+     }
+    }
+   },
+   "outputs": [],
+   "source": [
+    "test_obj = no_bi.binaer_node('test_obj') # Umgebungs\n",
+    "step_1 = no_ba.step_single('step_1')\n",
+    "gui_data = no_gui.gui_ipysheet('gui_data')\n",
+    "log_1 = no_log.log_sheet('log_1')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5e7dc37c-8fe1-4569-a233-e3e45f450ae2",
+   "metadata": {
+    "extensions": {
+     "jupyter_dashboards": {
+      "activeView": "grid_default",
+      "views": {
+       "grid_default": {
+        "col": null,
+        "height": 2,
+        "hidden": true,
+        "row": null,
+        "width": 2
+       }
+      }
+     }
+    }
+   },
+   "outputs": [],
+   "source": [
+    "step_1.Init(work_objs=[test_obj.Calc_A_B])\n",
+    "log_1.Init(Values=[test_obj.log_all], Gui_For_Data = gui_data)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9a853d13-b21f-475a-8262-b9616bad6a60",
+   "metadata": {
+    "extensions": {
+     "jupyter_dashboards": {
+      "activeView": "grid_default",
+      "views": {
+       "grid_default": {
+        "col": 5,
+        "height": 8,
+        "hidden": false,
+        "row": 23,
+        "width": 5
+       }
+      }
+     }
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "gui_data.Show_GUI()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "155a052c-b1b6-4098-8614-19388211296a",
+   "metadata": {
+    "extensions": {
+     "jupyter_dashboards": {
+      "activeView": "grid_default",
+      "views": {
+       "grid_default": {
+        "col": 0,
+        "height": 5,
+        "hidden": false,
+        "row": 23,
+        "width": 5
+       }
+      }
+     }
+    }
+   },
+   "outputs": [],
+   "source": [
+    "test_obj.Show_GUI()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "aa1fe3ad-55bb-491d-a677-ea20354ba5c1",
+   "metadata": {
+    "extensions": {
+     "jupyter_dashboards": {
+      "activeView": "grid_default",
+      "views": {
+       "grid_default": {
+        "col": 0,
+        "height": 3,
+        "hidden": false,
+        "row": 28,
+        "width": 5
+       }
+      }
+     }
+    }
+   },
+   "outputs": [],
+   "source": [
+    "step_1.Show_GUI()"
+   ]
+  }
+ ],
+ "metadata": {
+  "extensions": {
+   "jupyter_dashboards": {
+    "activeView": "grid_default",
+    "version": 1,
+    "views": {
+     "grid_default": {
+      "cellMargin": 2,
+      "defaultCellHeight": 40,
+      "maxColumns": 12,
+      "name": "grid",
+      "type": "grid"
+     }
+    }
+   }
+  },
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.7"
+  },
+  "presto": {
+   "id": "15654236-4ba8-4933-8bde-9e7e68b7138c"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
+%% Cell type:markdown id:valued-saskatchewan tags:
+## Binäre Bilanz
+%% Cell type:markdown id:genuine-country tags:
+### Kennzeichen einer binären Bilanz
+* Nur __extensive__ Größen lassen sich bilanzieren
+    * Beispiele:
+        * Masse m, Stoffmenge n, Teilchenzahl N
+        * Volumen V
+        * innere Energie U
+        * freie Energie F, freie Enthalpie G, Entropie S
+        * Enthalpie H
+        * elektrische Ladung Q
+* eine binäre Bilanz summiert __zwei__ (binär) Größen zu einer Dritten
+    * Beispiele:
+        * $m_{AB} = m_A + m_B $
+        * $n_{AB} = n_A + n_B $
+        * $H_{AB} = H_A + H_B $
+* Gehaltsangaben erweitern die Ausdrucksweise
+    * Beispiele
+        * Verhältnisse \ Beladungen  z.B.  $\quad\zeta_{A}=\tfrac{m_A}{m_B}$
+        * Anteile \ Gehalt z.B. $\quad\xi_{A}=\tfrac{m_A}{m_A + m_B}$
+        * Konzentration (bezug auf Volumen)   z.B. $\quad\beta_{A}=\tfrac{m_A}{V_A + V_B}$
+%% Cell type:markdown id:76ca1106-5032-4a20-abaf-b2b439dbffe8 tags:
+### Bedingungen zur Berechnung einer binären Bilanz
+* Zwei Größen müssen vorgeben werden
+* von den zwei Größen muss eine extensiv sein
+* Volumenberechnung kann nur bei __gleichen Druck und Temperatur__ erfolgen
+%% Cell type:markdown id:e9ef6dfa-3343-4a59-b87e-3259c9d3b464 tags:
+![biary_balance_1.jpg](attachment:fd6be7dd-f8a4-4b4d-8ba6-9936489a7e98.jpg)
+%% Cell type:code id:ab70ee95-ce3c-4c4c-a7bc-2658a1a5d41a tags:
+``` python
+import nowo_base_1 as no_ba
+import nowo_sim_binary as no_bi
+import nowo_gui_base as no_gui
+import nowo_log_base as no_log
+```
+%% Cell type:code id:eec838fd-a5a9-49c8-a873-07c0e3653622 tags:
+``` python
+test_obj = no_bi.binaer_node('test_obj') # Umgebungs
+step_1 = no_ba.step_single('step_1')
+gui_data = no_gui.gui_ipysheet('gui_data')
+log_1 = no_log.log_sheet('log_1')
+```
+%% Cell type:code id:5e7dc37c-8fe1-4569-a233-e3e45f450ae2 tags:
+``` python
+step_1.Init(work_objs=[test_obj.Calc_A_B])
+log_1.Init(Values=[test_obj.log_all], Gui_For_Data = gui_data)
+```
+%% Cell type:code id:9a853d13-b21f-475a-8262-b9616bad6a60 tags:
+``` python
+gui_data.Show_GUI()
+```
+%% Cell type:code id:155a052c-b1b6-4098-8614-19388211296a tags:
+``` python
+test_obj.Show_GUI()
+```
+%% Cell type:code id:aa1fe3ad-55bb-491d-a677-ea20354ba5c1 tags:
+``` python
+step_1.Show_GUI()
+```
--- a/Balance_Binary.ipynb
+++ b/Balance_Binary.ipynb
--- a/pics/.ipynb_checkpoints/binary_balance_1-checkpoint.pdf
+++ b/pics/.ipynb_checkpoints/binary_balance_1-checkpoint.pdf
--- a/pics/biary_balance_1.jpg
+++ b/pics/biary_balance_1.jpg
--- a/pics/binary_balance_1.pdf
+++ b/pics/binary_balance_1.pdf