{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Time-Accurate Rotor with Thrust-Convergence Stopping Criterion\n",
    "\n",
    "This notebook demonstrates how to configure a **run control stopping criterion** for a time-accurate rotor simulation. The criterion monitors the mean thrust (CFz) averaged over the last two rotor revolutions and halts the simulation automatically once the mean has converged - avoiding manual step-count tuning.\n",
    "\n",
    "The geometry is the **DTU 10MW reference wind turbine** (blade radius R ≈ 89 m). The setup uses a time-accurate sliding-interface approach, so the physical time step size and maximum number of revolutions are derived from the single parameter `dt_deg`.\n",
    "\n",
    "Key features covered:\n",
    "- Project creation from a local CAD geometry file (beta mesher)\n",
    "- Time-accurate unsteady simulation with a sliding rotating zone\n",
    "- `ForceOutput` with `MovingStatistic` computing a rolling mean over the last two revolutions\n",
    "- `RunControl` with a `StoppingCriterion` tied to the rolling-mean thrust output\n",
    "\n",
    "**Note:** The settings in this example are by no means a validation setup; they are crafted to showcase the capabilities of Flow360 and we have intentionally reduced node count and example FC cost. For rigorous validation, modify the settings as needed."
   ],
   "id": "a649a619"
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Load a Project\n",
    "\n",
    "Load the Flow360 client and create a new project from the DTU 10MW EGADS geometry file (length unit: metres)."
   ],
   "id": "bed550de"
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
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      "text/plain": [
       "Output()"
      ]
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     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[09:58:38] </span><span style=\"color: #008080; text-decoration-color: #008080\">INFO</span>: Geometry successfully submitted:                                                                  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>        type        = Geometry                                                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>        name        = DTU Wind Turbine stopping-criterion tutorial                                      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>        id          = geo-<span style=\"color: #ffff00; text-decoration-color: #ffff00\">f3c47111-91b5-44c0-afd5-a7c3d811fb73</span>                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>        status      = uploaded                                                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>        project id  = prj-<span style=\"color: #ffff00; text-decoration-color: #ffff00\">efdd1dbc-c9e4-4d01-895a-cc034e4caae6</span>                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>                                                                                                        \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[09:58:38]\u001b[0m\u001b[2;36m \u001b[0m\u001b[36mINFO\u001b[0m: Geometry successfully submitted:                                                                  \n",
       "\u001b[2;36m           \u001b[0m        type        = Geometry                                                                          \n",
       "\u001b[2;36m           \u001b[0m        name        = DTU Wind Turbine stopping-criterion tutorial                                      \n",
       "\u001b[2;36m           \u001b[0m        id          = geo-\u001b[93mf3c47111-91b5-44c0-afd5-a7c3d811fb73\u001b[0m                                          \n",
       "\u001b[2;36m           \u001b[0m        status      = uploaded                                                                          \n",
       "\u001b[2;36m           \u001b[0m        project id  = prj-\u001b[93mefdd1dbc-c9e4-4d01-895a-cc034e4caae6\u001b[0m                                          \n",
       "\u001b[2;36m           \u001b[0m                                                                                                        \n"
      ]
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     "output_type": "display_data"
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     "data": {
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #008080; text-decoration-color: #008080\">INFO</span>: Waiting for geometry to be processed.                                                             \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0m\u001b[36mINFO\u001b[0m: Waiting for geometry to be processed.                                                             \n"
      ]
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       "Output()"
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     "output_type": "display_data"
    },
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     "data": {
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import flow360 as fl\n",
    "from flow360.examples import DTU_WindTurbine\n",
    "\n",
    "DTU_WindTurbine.get_files()\n",
    "\n",
    "project = fl.Project.from_geometry(\n",
    "    DTU_WindTurbine.geometry,\n",
    "    length_unit=\"m\",\n",
    "    name=\"Time-Accurate Rotor with Thrust-Convergence Stopping Criterion\",\n",
    ")\n",
    "geometry = project.geometry"
   ],
   "id": "00aefce5"
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Geometry Primitives\n",
    "\n",
    "Define:\n",
    "- `rotor_cylinder` — the rotating zone encapsulating the rotor blades. This cylinder drives both the sliding-interface mesh zone and the rotation model.\n",
    "- `wake_cylinder` — a coarser volumetric refinement zone to improve wake resolution."
   ],
   "id": "d159d746"
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[10:00:03] </span><span style=\"color: #008080; text-decoration-color: #008080\">INFO</span>: using: SI unit system for unit inference.                                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[10:00:03]\u001b[0m\u001b[2;36m \u001b[0m\u001b[36mINFO\u001b[0m: using: SI unit system for unit inference.                                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "with fl.SI_unit_system:\n",
    "    farfield = fl.AutomatedFarfield()\n",
    "\n",
    "    R = 89.166  # blade radius [m] — DTU 10MW reference turbine\n",
    "\n",
    "    # Rotating zone: encloses the full rotor disk with margin.\n",
    "    # Axis along +Z (shaft direction); adjust if your geometry differs.\n",
    "    rotor_cylinder = fl.Cylinder(\n",
    "        center=(0, 0, 0),\n",
    "        outer_radius=110 * fl.u.m,\n",
    "        height=40 * fl.u.m,\n",
    "        axis=(0, 0, 1),\n",
    "        name=\"RotorCylinder\",\n",
    "    )\n",
    "\n",
    "    # Wake refinement zone: extends downstream of the rotor.\n",
    "    wake_cylinder = fl.Cylinder(\n",
    "        center=(0, 0, 55) * fl.u.m,\n",
    "        outer_radius=200 * fl.u.m,\n",
    "        height=200 * fl.u.m,\n",
    "        axis=(0, 0, 1),\n",
    "        name=\"WakeCylinder\",\n",
    "    )"
   ],
   "id": "7a9609fa"
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Meshing Parameters\n",
    "\n",
    "The mesh is intentionally coarse — this example focuses on the stopping-criterion workflow, not on high-fidelity aerodynamics. The rotating zone interface controls the mesh density inside `rotor_cylinder`, and a light wake refinement is applied downstream."
   ],
   "id": "034f43d2"
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "rotating_zone = fl.RotationVolume(\n",
    "    name=\"RotatingZone\",\n",
    "    spacing_axial=2 * fl.u.m,\n",
    "    spacing_circumferential=2 * fl.u.m,\n",
    "    spacing_radial=2 * fl.u.m,\n",
    "    entities=rotor_cylinder,\n",
    "    enclosed_entities=geometry[\"*\"],\n",
    ")\n",
    "\n",
    "meshing = fl.MeshingParams(\n",
    "    defaults=fl.MeshingDefaults(\n",
    "        surface_max_edge_length=2 * fl.u.m,\n",
    "        boundary_layer_first_layer_thickness=1e-4 * fl.u.m,\n",
    "    ),\n",
    "    volume_zones=[farfield, rotating_zone],\n",
    "    refinements=[\n",
    "        fl.UniformRefinement(entities=wake_cylinder, spacing=4 * fl.u.m),\n",
    "        fl.UniformRefinement(entities=rotor_cylinder, spacing=2 * fl.u.m),\n",
    "    ],\n",
    ")"
   ],
   "id": "969c09c2"
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. Time Stepping\n",
    "\n",
    "For a **time-accurate sliding-interface** simulation the time stepping must be `fl.Unsteady`. Using `fl.Rotation` with an unsteady solver activates the sliding-mesh algorithm automatically instead of MRF.\n",
    "\n",
    "The physical time step size is derived from `dt_deg` and `omega` so that all downstream quantities (`steps_per_rev`, `window_steps`, `tolerance_window_size`) update consistently when either parameter is changed. The run is capped at `revs` revolutions; the stopping criterion (Section 6) will terminate it earlier once thrust has converged."
   ],
   "id": "22b68f72"
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "omega = 8.836 * fl.u.rpm  # rated angular velocity — DTU 10MW\n",
    "dt_deg = 6.0  # physical time step [degrees]; change as needed\n",
    "revs = 50  # maximum number of revolutions to simulate\n",
    "steps_per_rev = int(360 / dt_deg)\n",
    "step_size = (dt_deg * fl.u.deg / omega.to(\"deg/s\")).to(\"s\")\n",
    "\n",
    "time_stepping = fl.Unsteady(\n",
    "    steps=revs * steps_per_rev,\n",
    "    step_size=step_size,\n",
    "    max_pseudo_steps=50,\n",
    ")\n",
    "\n",
    "rotation = fl.Rotation(\n",
    "    name=\"RotatingZone\",\n",
    "    volumes=rotor_cylinder,\n",
    "    spec=fl.AngularVelocity(omega),\n",
    ")"
   ],
   "id": "8bcf2fff"
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5. Force Output with Moving Statistic\n",
    "\n",
    "A `ForceOutput` is configured with a `MovingStatistic` that computes the **rolling mean of CFz over the last two rotor revolutions** (`revs_for_mean × steps_per_rev` physical steps). This smoothed thrust signal filters out blade-passage harmonics and is used as the convergence monitor in the next section."
   ],
   "id": "cc01b8c6"
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "revs_for_mean = 2\n",
    "window_steps = revs_for_mean * steps_per_rev\n",
    "\n",
    "walls = fl.Wall(surfaces=geometry[\"*\"], use_wall_function=True)\n",
    "thrust_output = fl.ForceOutput(\n",
    "    name=\"thrust_monitor\",\n",
    "    output_fields=[\"CFz\", \"CMz\"],\n",
    "    moving_statistic=fl.MovingStatistic(\n",
    "        method=\"mean\",\n",
    "        moving_window_size=window_steps,\n",
    "    ),\n",
    "    models=[walls],\n",
    ")"
   ],
   "id": "3c1cc9df"
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 6. Run Control — Thrust Convergence Stopping Criterion\n",
    "\n",
    "The `StoppingCriterion` monitors the rolling-mean `CFz` from `thrust_output`. When a `tolerance_window_size` is specified, the criterion evaluates the half-range `|max − min| / 2` of the monitored field within the last `tolerance_window_size` output records. The criterion is satisfied when this half-range drops below `tolerance`.\n",
    "\n",
    "- `tolerance_window_size = 3 × steps_per_rev` (three revolutions worth of records): the oscillation amplitude of the rolling-mean CFz over the last three revolutions must drop below `tolerance`.\n",
    "- `tolerance = 1e-4`: absolute threshold (non-dimensional CFz).\n",
    "\n",
    "**Important — two conditions must be met (AND logic):**\n",
    "\n",
    "Satisfying the stopping criterion alone does **not** halt the simulation. The solver also requires that the **residual convergence** is met. The maximum number of physical steps overrides everything.\n",
    "\n",
    "> **Note — Residual convergence: steady vs. unsteady**\n",
    ">\n",
    "> - **Steady state**: only pseudo-steps are run (effectively one infinite physical step). The simulation ends when the residual drops below the **absolute tolerance** *and* all user-defined stopping criteria are satisfied.\n",
    "> - **Unsteady**: at each physical step, up to `max_pseudo_steps` pseudo-steps are executed. The solver advances to the next physical step either when `max_pseudo_steps` is reached or when the residual drops below the solver tolerance — whichever comes first. The solver tolerances can be specified as:\n",
    ">   - **Absolute tolerance**: the residual falls below a fixed threshold.\n",
    ">   - **Relative tolerance**: the residual falls below a fraction of the initial residual of that physical step.\n",
    ">\n",
    ">   The simulation terminates when all user-defined stopping criteria are satisfied *and* the residual convergence within the current physical step is met."
   ],
   "id": "25782f47"
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "revs_for_stop_criterion = 3\n",
    "tolerance_window_size = revs_for_stop_criterion * steps_per_rev\n",
    "run_control = fl.RunControl(\n",
    "    stopping_criteria=[\n",
    "        fl.StoppingCriterion(\n",
    "            name=\"thrust_convergence\",\n",
    "            monitor_output=thrust_output,\n",
    "            monitor_field=\"CFz\",\n",
    "            tolerance=1e-4,\n",
    "            tolerance_window_size=tolerance_window_size,\n",
    "        )\n",
    "    ]\n",
    ")"
   ],
   "id": "ec89c852"
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 7. Simulation Parameters\n",
    "\n",
    "Assemble all components into `fl.SimulationParams`. The operating condition is set for the DTU 10MW rated point: 11.0 m/s wind speed (Mach ≈ 0.032) along the rotor axis. The reference velocity is set to the blade-tip speed (`omega × R` ≈ 83 m/s, Mach ≈ 0.24) for non-dimensionalisation."
   ],
   "id": "ee4da4bb"
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[10:00:19] </span><span style=\"color: #008080; text-decoration-color: #008080\">INFO</span>: using: SI unit system for unit inference.                                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[10:00:19]\u001b[0m\u001b[2;36m \u001b[0m\u001b[36mINFO\u001b[0m: using: SI unit system for unit inference.                                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "with fl.SI_unit_system:\n",
    "    params = fl.SimulationParams(\n",
    "        meshing=meshing,\n",
    "        operating_condition=fl.AerospaceCondition(\n",
    "            velocity_magnitude=11.0,  # rated wind speed [m/s]\n",
    "            alpha=90 * fl.u.deg,  # wind aligned with rotor axis (+Z)\n",
    "            reference_velocity_magnitude=omega.to(\"rad/s\").to_value()\n",
    "            * R,  # ≈ tip speed [m/s] for non-dimensionalisation\n",
    "        ),\n",
    "        reference_geometry=fl.ReferenceGeometry(\n",
    "            moment_center=(0, 0, 0),\n",
    "            moment_length=(R, R, R),\n",
    "            area=np.pi * R**2,\n",
    "        ),\n",
    "        time_stepping=time_stepping,\n",
    "        run_control=run_control,\n",
    "        models=[\n",
    "            fl.Fluid(\n",
    "                navier_stokes_solver=fl.NavierStokesSolver(\n",
    "                    absolute_tolerance=1e-10,\n",
    "                    relative_tolerance=1e-1,\n",
    "                ),\n",
    "                turbulence_model_solver=fl.SpalartAllmaras(\n",
    "                    absolute_tolerance=1e-10,\n",
    "                    relative_tolerance=1e-1,\n",
    "                ),\n",
    "            ),\n",
    "            walls,\n",
    "            fl.Freestream(surfaces=farfield.farfield),\n",
    "            rotation,\n",
    "        ],\n",
    "        outputs=[\n",
    "            fl.SurfaceOutput(\n",
    "                surfaces=geometry[\"*\"],\n",
    "                output_fields=[\"Cp\", \"Cf\", \"CfVec\"],\n",
    "            ),\n",
    "            thrust_output,\n",
    "        ],\n",
    "    )"
   ],
   "id": "03eccaab"
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 8. Run the Case\n",
    "\n",
    "Submit the case using the **beta mesher**. The solver will run up to `revs × steps_per_rev` physical steps but stop automatically once the thrust convergence criterion is satisfied."
   ],
   "id": "e795932a"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[10:00:30] </span><span style=\"color: #008080; text-decoration-color: #008080\">INFO</span>: Selecting beta/in-house mesher for possible meshing tasks.                                        \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[10:00:30]\u001b[0m\u001b[2;36m \u001b[0m\u001b[36mINFO\u001b[0m: Selecting beta/in-house mesher for possible meshing tasks.                                        \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[10:00:32] </span><span style=\"color: #008080; text-decoration-color: #008080\">INFO</span>: Successfully submitted:                                                                           \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>        type        = Case                                                                              \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>        name        = Rotor stopping-criterion tutorial                                                 \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>        id          = case-<span style=\"color: #ffff00; text-decoration-color: #ffff00\">74362a34-2da8-4103-9e44-2d107f4a882b</span>                                         \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>        status      = pending                                                                           \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>        project id  = prj-<span style=\"color: #ffff00; text-decoration-color: #ffff00\">efdd1dbc-c9e4-4d01-895a-cc034e4caae6</span>                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>                                                                                                        \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[10:00:32]\u001b[0m\u001b[2;36m \u001b[0m\u001b[36mINFO\u001b[0m: Successfully submitted:                                                                           \n",
       "\u001b[2;36m           \u001b[0m        type        = Case                                                                              \n",
       "\u001b[2;36m           \u001b[0m        name        = Rotor stopping-criterion tutorial                                                 \n",
       "\u001b[2;36m           \u001b[0m        id          = case-\u001b[93m74362a34-2da8-4103-9e44-2d107f4a882b\u001b[0m                                         \n",
       "\u001b[2;36m           \u001b[0m        status      = pending                                                                           \n",
       "\u001b[2;36m           \u001b[0m        project id  = prj-\u001b[93mefdd1dbc-c9e4-4d01-895a-cc034e4caae6\u001b[0m                                          \n",
       "\u001b[2;36m           \u001b[0m                                                                                                        \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "case = project.run_case(\n",
    "    params=params,\n",
    "    name=\"Time-accurate (thrust convergence)\",\n",
    "    use_beta_mesher=True,\n",
    ")"
   ],
   "id": "2f03c071"
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 9. Post-Processing — Thrust Convergence\n",
    "\n",
    "After the case completes, two subplots are generated:\n",
    "1. **Thrust convergence** — instantaneous CFz alongside its two-revolution rolling mean. The stopping criterion triggered when the rolling mean plateaued, visible as the flat tail in the mean curve.\n",
    "2. **Nonlinear residuals** — per-physical-step residual history for all solution fields (continuity, momentum, energy, turbulence). A horizontal dashed line shows the solver **relative tolerance**; when residuals drop below this level within a physical step, the solver advances to the next step.\n",
    "\n",
    "The code below will wait for the case to be finished (case.wait()) which can take a few minutes. If this fails or you want to take a different case, substitute `case.wait()` for `case = fl.Case(\"your-case-ID\")`."
   ],
   "id": "6d546c42"
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
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       "model_id": "2843877a404b4c5bacf6418a1b38b5db",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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       "model_id": "98f8ee93eb8e46feafbfebf8b69af896",
       "version_major": 2,
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      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
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     },
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       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[10:40:21]\u001b[0m\u001b[2;36m \u001b[0m\u001b[36mINFO\u001b[0m: Saved to \u001b[35m/tmp/tmpmhddaw8j/\u001b[0m\u001b[95m8cf86ebe-6df6-4bd7-9bd5-bc741362c849.csv\u001b[0m                                \n"
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     "output_type": "display_data"
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       "model_id": "8bb38f84ff564bbbba15303cc74f8822",
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       "Output()"
      ]
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     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
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       "</pre>\n"
      ],
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       "\u001b[2;36m[10:40:22]\u001b[0m\u001b[2;36m \u001b[0m\u001b[36mINFO\u001b[0m: Saved to \u001b[35m/tmp/tmpmhddaw8j/\u001b[0m\u001b[95m00a155c2-d9ff-4dc0-b2c1-836e26a8cae0.csv\u001b[0m                                \n"
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       "Output()"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[10:40:24] </span><span style=\"color: #008080; text-decoration-color: #008080\">INFO</span>: Saved to <span style=\"color: #800080; text-decoration-color: #800080\">/tmp/tmpmhddaw8j/</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff\">78a71559-9f75-4229-abf2-47c1002d63a5.csv</span>                                \n",
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",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Simulation stopped at physical step 606 (10.1 revolutions)\n"
     ]
    }
   ],
   "source": [
    "case.wait()\n",
    "\n",
    "# Reference quantities for dimensionalization\n",
    "density = case.params.operating_condition.thermal_state.density\n",
    "U_ref = case.params.operating_condition.velocity_magnitude\n",
    "A_ref = case.params.reference_geometry.area\n",
    "q = 0.5 * float(density) * float(U_ref) ** 2 * float(A_ref)\n",
    "\n",
    "# Thrust monitors\n",
    "thrust_monitor_mean = case.results.custom_forces[\"thrust_monitor_moving_statistic\"].as_dataframe()\n",
    "thrust_monitor_mean[\"Thrust_mean [N]\"] = thrust_monitor_mean[\"totalCFz_mean\"]\n",
    "thrust_monitor_mean_step = thrust_monitor_mean[\"end_index\"]\n",
    "thrust_monitor = case.results.custom_forces[\"thrust_monitor\"].as_dataframe()\n",
    "thrust_monitor[\"Thrust [N]\"] = thrust_monitor[\"totalCFz\"]\n",
    "thrust_monitor_step = thrust_monitor[\"physical_step\"]\n",
    "\n",
    "# --- Plot ---\n",
    "fig, axes = plt.subplots(2, 1, figsize=(10, 8), sharex=False)\n",
    "\n",
    "axes[0].plot(\n",
    "    thrust_monitor[\"physical_step\"],\n",
    "    thrust_monitor[\"Thrust [N]\"],\n",
    "    color=\"steelblue\",\n",
    "    alpha=0.5,\n",
    "    linewidth=0.8,\n",
    "    label=\"Instantaneous\",\n",
    ")\n",
    "axes[0].plot(\n",
    "    thrust_monitor_mean[\"end_index\"],\n",
    "    thrust_monitor_mean[\"Thrust_mean [N]\"],\n",
    "    color=\"navy\",\n",
    "    linewidth=2,\n",
    "    label=f\"{revs_for_mean}-rev rolling mean\",\n",
    ")\n",
    "axes[0].set_ylabel(\"Thrust [N]\")\n",
    "axes[0].legend()\n",
    "axes[0].grid(True, alpha=0.3)\n",
    "axes[0].set_title(\"Thrust convergence\")\n",
    "\n",
    "# Residuals: include pseudo steps, show only last revolution (via x limit)\n",
    "final_step = thrust_monitor[\"physical_step\"].iloc[-1]\n",
    "non_linear = case.results.nonlinear_residuals.as_dataframe()\n",
    "nl = non_linear.copy()\n",
    "max_ps = nl[\"pseudo_step\"].max() + 1\n",
    "nl[\"step_with_pseudo\"] = nl[\"physical_step\"] + nl[\"pseudo_step\"] / max_ps\n",
    "for col in [\"0_cont\", \"1_momx\", \"2_momy\", \"3_momz\", \"4_energ\", \"5_nuHat\"]:\n",
    "    if col in nl.columns:\n",
    "        axes[1].semilogy(nl[\"step_with_pseudo\"], nl[col], label=col, alpha=0.7)\n",
    "axes[1].set_xlim(final_step - steps_per_rev + 1, final_step + 1)\n",
    "axes[1].set_xlabel(\"Physical step (with pseudo steps)\")\n",
    "axes[1].set_ylabel(\"Nonlinear residual\")\n",
    "axes[1].legend(fontsize=8)\n",
    "axes[1].grid(True, alpha=0.3)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "print(\n",
    "    f\"Simulation stopped at physical step {final_step} \"\n",
    "    f\"({final_step / steps_per_rev:.1f} revolutions)\"\n",
    ")"
   ],
   "id": "2ee178f9"
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "flow360-dev",
   "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": "3.11.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
