用户需求: 网格智能局部加密,入口,出口都有长方体,右下角新增一个出口 round-01 【发送给 ChatGPT】 You are FluentAGI for Ansys Fluent. Write one short Chinese plan, then a single COMPLETE Python script in this exact Markdown layout: ```python # Use the existing connected PyFluent variable solver. # Continue with the complete executable script here. ``` Put a newline before and after each tag and each fence. Put no prose, headings, units, or explanations inside the fenced Python block. Do not place ```python and Python statements on the same line. Keep the script under 280 lines. Use loops instead of repeating similar statements. Never truncate a string, parenthesis, or code fence; always close . Use the existing solver session and compatible PyFluent APIs. Do not launch or close Fluent. Do not use Abaqus APIs. Use solver.settings APIs and the provided fluentagi adapters. Direct solver.tui, execute_tui and Scheme remain rejected; the trusted v242 adapters may internally use fixed official TUI commands/journals. For mesh display use solver.settings.results.graphics.mesh and graphics.views APIs. Do not return JSON tool plans. Do not invent mesh files or API names. Only operate on the requested case and task directory. Preserve existing results. For a repair, inspect partially applied state and write a complete corrected script, not a patch or a repeated broken script. The web AI cannot read or modify host application source. Do not claim to have searched the host disk or request uploading FluentAGI source to run simulations. Use the verified runtime adapters. Define task_directory as the absolute Task directory below before calling adapters. For VOF surface tension use fluentagi.configure_surface_tension(directory=task_directory,coefficient=0.072,phase_a="phase-1",phase_b="phase-2"); coefficient is N/m, replace the example with the requested value. This v242 adapter preserves other phase pairs, enables the surface-tension model and reads back every coefficient. inspect_surface_tension(directory=task_directory) returns verified state. Do not ask the user to edit the plugin or click GUI dialogs for this supported operation. For three-phase boiling setup in Fluent 2024 R2, use fluentagi.configure_three_phase_materials(directory=task_directory, materials=["air", "water-liquid", "water-vapor"]) to create actual phase-1/2/3 domains and verify material assignments. For an existing three-phase model, fluentagi.assign_multiphase_materials(materials=[...], directory=task_directory) assigns materials without changing the phase count. Then call fluentagi.configure_evaporation_condensation(directory=task_directory, saturation_temperature=T_sat_K, evaporation_frequency=from_frequency_per_second, condensation_frequency=to_frequency_per_second, from_phase="phase-2", to_phase="phase-3"). Pass the user's specified temperature/frequencies; preserve their geometry, heating and calculation parameters. This verified v242 VOF Lee adapter enables energy, uses a fixed official TUI journal and verifies the phase pair, constant saturation temperature, both frequencies and Lee model by an independent case snapshot. It does not initialize or advance the simulation. Do not say this feature is unavailable because direct TUI is forbidden; use the adapter. fluentagi.inspect_phase_change(directory=task_directory) returns actual phases and mass transfer settings, refreshing a unique case snapshot. Do not replace existing unrelated mechanisms. This adapter supports one Lee mass transfer pair, not Eulerian wall boiling, semi-mechanistic wall boiling, pressure-dependent saturation tables or UDFs. Do not claim a complete validated boiling simulation from successful setup alone. initialize_air is a TWO-PHASE adapter; do not use it for three-phase cases. Use verified settings initialization and phase-aware patching only for requested new calculations. The runtime provides fluentagi.assign_phase_materials(primary="air", secondary="water-liquid", directory=task_directory), fluentagi.inspect_phases(), and fluentagi.export_results(directory=task_directory, fields=["pressure", "velocity-magnitude"]). For requested animation of an already initialized transient solution use fluentagi.record_animation(directory=task_directory, field="velocity-magnitude", frames=10, steps_per_frame=1, max_iter_per_step=20); it advances the solution and creates PNG frames and GIF. Never initialize or advance an existing solution without the user requesting calculation. These are executable verified adapters, not prose instructions. Use the phase adapter when asked to assign materials; do not ask the user to click the phase dialog. Print returned results. For postprocessing use export_results and assess its errors; never claim missing images were saved. Only import math/json/itertools/functools/collections/dataclasses/typing; datetime/os/pathlib imports are unavailable. Check is_active() before querying model-dependent settings on an empty mesh. For NEW planar geometry and meshing use mesh = fluentagi.build_planar(directory=task_directory, points=[[x,y],...], inlet_edges=[0], outlet_edges=[2], size=0.001). Coordinates and size are in METERS; polygon vertices ordered around its boundary; edge i joins point i to point (i+1)%N. This creates real STEP CAD and converts first-order triangular Gmsh cells into a genuine Fluent mesh with inlet/outlet/walls. Then solver.settings.file.read_mesh(file_name=mesh["mesh_file"]), solver.settings.mesh.check(), configure physics, initialize, iterate, and export_results. Save current case/data before replacing loaded geometry. Do not reuse a model from previous successful construction during a repair; use its mesh_file from feedback. For curved planar CAD, use fluentagi.geometry_mesh(directory=task_directory,code=gmsh_script_string); the worker has gmsh,math,output_dir already, no imports; create OCC geometry and physical line groups named inlet,outlet,walls, export STEP, generate first-order triangular or quadrilateral mesh(2). Returned mesh_file is Fluent format; gmsh-native.msh is NOT Fluent format. 3D modeling and volume mesh conversion are now implemented. fluentagi.build_volume(directory=task_directory, shape="box",length=0.1,width=0.02,height=0.02,size=0.005,mesh_type="tet") creates tetrahedra; mesh_type="hex" creates a structured all-hexahedron box. shape="cylinder",radius=0.01 supports tetrahedra with axis along +X. Inlet is X=0 and outlet X=length. fluentagi.build_extruded(directory=task_directory,points=[[x,y],...],inlet_edges=[0],outlet_edges=[2],depth=0.01,size=0.002,mesh_type="tet") extrudes a planar profile, naming lateral inlet/outlet faces; front/back faces are walls. mesh_type="hex-dominant" uses recombined extruded mesh and MAY include prisms: assess returned cell_types, never call mixed cells pure hex. geometry_mesh supports arbitrary OCC volumes (boolean unions/cuts), physical SURFACE groups inlet/outlet/walls, and mesh.generate(3), first-order tet/hex/prism/pyramid. Imported STEP is not currently supported by the restricted worker. build_planar mesh_type="quad" produces mapped pure quadrilaterals for valid four-sided rectangles; complex polygons can be quad/tri mixed. 2D uses triangles/quads, 3D uses tet/hex. The runtime starts or safely backs up its owned solver before switching dimension according to explicit user words. Do not request user-supplied 3D mesh for supported geometry. Save backups before replacing any loaded mesh. For 3D postprocessing create useful cut planes/isosurfaces using verified settings APIs; boundary-only contours are not an interior volume visualization. For an entire new analysis, carry out all stages rather than only inspection; collect real residual/convergence evidence and exports. For water-air transient filling, call fluentagi.configure_water_air(directory=task_directory,velocity=0.05,time_step=0.001,gravity_y=-9.81,inlet="inlet",outlet="outlet"). This backs up and sets laminar VOF, materials, phase-aware inlet/outlet, gravity and timestep; does NOT initialize or erase existing solution. For requested NEW filling use fluentagi.initialize_air(directory=task_directory), which saves a backup, hybrid initializes and patches phase-2 volume fraction to zero across all fluid cell zones. Never initialize_air on existing results without an explicit restart request. Fluent v242 contour fields are phase-2-vof (water, only after confirming phase-2=water-liquid) and phase-1-vof (air); do not confuse them. Query real contour field.allowed_values for VOF fields. For 3D interior contours/animation use section=fluentagi.create_section(axis="z",position=depth/2), then export_results(...,surfaces=[section["surface"]]) or record_animation(...,surfaces=[section["surface"]]). A plane section is not full volumetric rendering; report it accurately. Frames are 2..60. Each frame after the first advances steps_per_frame real time steps; final time is initial time+(frames-1)*steps_per_frame*time_step. Do not claim the pipe fills if the simulated duration is too short. Normalize typos like "二维四面体" by explaining 2D triangular equivalent; if depth/3D was explicitly requested, use volume tools. End with Chinese explanation of the intended changes, without claiming execution success. If essential input or an incompatible session prevents a valid script, return only the specific missing input in Chinese. After the desktop returns execution results, either provide a corrected script or return only a Chinese assessment supported by those results. Do not execute the same successful script again. Successful execution alone does not prove convergence. Runtime capabilities: {"protocol": "FluentAGI-capabilities-v1", "session": {"connected": true, "mode": "launch"}, "geometry": {"worker": "gmsh isolated process", "imports": [], "builtins": ["range", "len", "int", "float", "str", "list", "tuple", "enumerate", "zip", "min", "max", "abs", "round", "RuntimeError", "ValueError", "print", "set", "sum", "sorted", "bool", "all", "any"], "physical_groups": ["inlet", "outlet", "walls"], "cell_types": ["triangle", "quadrilateral", "tetrahedron", "hexahedron", "prism", "pyramid"]}, "script": {"imports": ["math", "json", "itertools", "functools", "collections", "dataclasses", "typing"], "adapters": ["build_planar", "build_volume", "build_extruded", "geometry_mesh", "configure_water_air", "initialize_air", "record_animation", "export_results", "assign_phase_materials", "assign_multiphase_materials", "configure_three_phase_materials", "configure_evaporation_condensation", "inspect_phase_change", "configure_surface_tension", "inspect_surface_tension"]}, "generated_at": 1792220599.3309379, "phase_change": {"version": "v242", "model": "VOF Lee", "phases": [2, 3], "saturation": "constant K", "frequencies": "positive finite 1/s", "mass_transfer_pairs": 1, "internal_official_tui": true, "generated_direct_tui": false, "readback": "unique case snapshot", "initializes": false}, "surface_tension": {"version": "v242", "model": "VOF", "coefficient": "nonnegative finite N/m", "preserves_other_pairs": true, "readback": "unique case snapshot", "initializes": false}, "fluent_version": "Ansys Fluent 2024 R2", "model_active": false} Current session: {"connected": true, "dimension": 3, "mode": "solver", "owned": true} Task directory: C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261017-150300-e37701 Current request: 网格智能局部加密,入口,出口都有长方体,右下角新增一个出口 【ChatGPT 回复】 ChatGPT 说: 保留左上入口并增加长方体进水管,在右下角新增长方体排水管;水箱顶部继续通气。按此理解,局部加密入口、水柱通道、撞墙区和右下出口,采用分块结构化六面体网格,先短时试算,再生成动画。 ```python # Use the existing connected PyFluent variable solver. import math import json task_directory = r"C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261017-150300-e37701" s = solver.settings prefix = task_directory + r"\local_jet_9fd5359e" velocity = 0.8 dt = 0.001 completed_steps = 0 initial_volume = 1.584e-5 animation_outputs = [] def checked(label, result): print(label, result) if isinstance(result, dict): if result.get("success") is False or result.get("ok") is False: raise RuntimeError(label + ": " + str(result)) if result.get("status") in ["error", "failed"]: raise RuntimeError(label + ": " + str(result)) if result.get("error") or result.get("errors"): raise RuntimeError(label + ": " + str(result)) return result def object_for(collection, name): names = list(collection.get_object_names()) if name not in names: collection.create(name=name) if name not in collection.get_object_names(): raise RuntimeError("Object creation failed: " + name) return collection[name] def save(label): path = prefix + "_" + label + ".cas.h5" s.file.write_case_data(file_name=path) print("SAVED_CASE_DATA", path) def number(raw, name): if isinstance(raw, dict): if name in raw: value = raw[name] while isinstance(value, (list, tuple)) and len(value): value = value[0] if isinstance(value, (float, int)): return float(value) for value in raw.values(): result = number(value, name) if result is not None: return result elif isinstance(raw, (list, tuple)): for value in raw: result = number(value, name) if result is not None: return result return None def water_volume(): raw = s.solution.report_definitions.compute( report_defs=["local_water_volume"] ) print("WATER_VOLUME_REPORT", raw) result = number(raw, "local_water_volume") if result is None or not math.isfinite(result): raise RuntimeError("Invalid water-volume report") return result gmsh_code = r""" xs = [0.0, 0.012, 0.042, 0.060] ys = [0.0, 0.002, 0.008, 0.014, 0.044, 0.050, 0.056, 0.060] zs = [0.0, 0.010, 0.020, 0.030] boxes = [] for i in range(len(xs)-1): for j in range(len(ys)-1): for k in range(len(zs)-1): tag = gmsh.model.occ.addBox( xs[i], ys[j], zs[k], xs[i+1]-xs[i], ys[j+1]-ys[j], zs[k+1]-zs[k]) boxes.append((3, tag)) tag = gmsh.model.occ.addBox(-0.012, 0.050, 0.010, 0.012, 0.006, 0.010) boxes.append((3, tag)) tag = gmsh.model.occ.addBox(0.060, 0.002, 0.010, 0.012, 0.006, 0.010) boxes.append((3, tag)) gmsh.model.occ.fragment([boxes[0]], boxes[1:]) gmsh.model.occ.synchronize() tol = 1e-6 groups = {"inlet": [], "outlet": [], "walls": []} top_count = 0 drain_count = 0 for dim, tag in gmsh.model.getEntities(2): up, down = gmsh.model.getAdjacencies(2, tag) if len(up) != 1: continue x, y, z = gmsh.model.occ.getCenterOfMass(2, tag) if abs(x+0.012) < tol and 0.050 < y < 0.056 and 0.010 < z < 0.020: groups["inlet"].append(tag) elif abs(x-0.072) < tol and 0.002 < y < 0.008 and 0.010 < z < 0.020: groups["outlet"].append(tag) drain_count += 1 elif abs(y-0.060) < tol and 0.0 < x < 0.060: groups["outlet"].append(tag) top_count += 1 else: groups["walls"].append(tag) if top_count == 0 or drain_count == 0: raise RuntimeError("Top vent or lower-right drain is missing") for name in ["inlet", "outlet", "walls"]: if not groups[name]: raise RuntimeError("Missing physical boundary: " + name) group = gmsh.model.addPhysicalGroup(2, groups[name]) gmsh.model.setPhysicalName(2, group, name) volumes = [tag for dim, tag in gmsh.model.getEntities(3)] group = gmsh.model.addPhysicalGroup(3, volumes) gmsh.model.setPhysicalName(3, group, "fluid") for dim, tag in gmsh.model.getEntities(1): ends = gmsh.model.getBoundary([(1, tag)], oriented=False) a = gmsh.model.getValue(0, ends[0][1], []) b = gmsh.model.getValue(0, ends[1][1], []) distance = math.sqrt(sum((a[i]-b[i])**2 for i in range(3))) midpoint = [(a[i]+b[i])/2.0 for i in range(3)] spacing = 0.0025 if abs(a[0]-b[0]) > tol: if midpoint[0] < 0.012 or midpoint[0] > 0.042: spacing = 0.0015 else: spacing = 0.003 elif abs(a[1]-b[1]) > tol: if midpoint[1] < 0.008 or midpoint[1] > 0.050: spacing = 0.0015 elif midpoint[1] < 0.014 or midpoint[1] > 0.044: spacing = 0.002 else: spacing = 0.003 elif abs(a[2]-b[2]) > tol: if 0.010 < midpoint[2] < 0.020: spacing = 0.00125 intervals = max(1, int(round(distance/spacing))) gmsh.model.mesh.setTransfiniteCurve(tag, intervals+1) for dim, tag in gmsh.model.getEntities(2): gmsh.model.mesh.setTransfiniteSurface(tag) gmsh.model.mesh.setRecombine(2, tag) for tag in volumes: gmsh.model.mesh.setTransfiniteVolume(tag) gmsh.option.setNumber("Mesh.ElementOrder", 1) gmsh.write(output_dir + "/tank_inlet_drain.step") gmsh.model.mesh.generate(3) types, element_tags, nodes = gmsh.model.mesh.getElements(3) count = 0 for i in range(len(types)): if int(types[i]) != 5: raise RuntimeError("Non-hexahedral volume cell detected") count += len(element_tags[i]) expected_volume = 0.060*0.060*0.030 + 2*0.012*0.006*0.010 actual_volume = sum(gmsh.model.occ.getMass(3, tag) for tag in volumes) if abs(actual_volume-expected_volume)/expected_volume > 1e-6: raise RuntimeError("Fluid geometry volume validation failed") print("VERIFIED_HEX8_CELLS", count) print("VERIFIED_FLUID_VOLUME_M3", actual_volume) print("TOP_VENT_FACES", top_count) print("LOWER_RIGHT_DRAIN_FACES", drain_count) gmsh.write(output_dir + "/local_hex_native.msh") """ if s.setup.models.is_active(): print("PREVIOUS_MODEL", s.setup.models.multiphase.get_state()) print("PREVIOUS_RUN_STATE", s.solution.run_calculation.get_state()) save("before_geometry_change") mesh = checked("LOCAL_HEX_MESH", fluentagi.geometry_mesh( directory=task_directory, code=gmsh_code )) if not isinstance(mesh, dict) or not mesh.get("mesh_file"): raise RuntimeError("Geometry adapter did not return a Fluent mesh_file") s.file.read_mesh(file_name=mesh["mesh_file"]) s.mesh.check() checked("WATER_AIR_SETUP", fluentagi.configure_water_air( directory=task_directory, velocity=velocity, time_step=dt, gravity_y=-9.81, inlet="inlet", outlet="outlet" )) checked("SURFACE_TENSION", fluentagi.configure_surface_tension( directory=task_directory, coefficient=0.072, phase_a="phase-1", phase_b="phase-2" )) checked("PHASES", fluentagi.inspect_phases()) print("BOUNDARIES", s.setup.boundary_conditions.get_state()) scheme = s.solution.methods.p_v_coupling.flow_scheme for candidate in ["PISO", "piso"]: if candidate in scheme.allowed_values(): scheme.set_state(candidate) break print("SOLUTION_METHODS", s.solution.methods.get_state()) checked("INITIALIZE_NEW_GEOMETRY", fluentagi.initialize_air( directory=task_directory )) zones = list(s.setup.cell_zone_conditions.fluid.get_object_names()) report = object_for(s.solution.report_definitions.volume, "local_water_volume") report.set_state({ "report_type": "volume-integral", "field": "phase-2-vof", "cell_zones": zones }) print("INITIAL_WATER_PATCH", s.solution.initialization.patch.calculate_patch( domain="phase-2", cell_zones=zones, registers=[], variable="mp", reference_frame="Relative to Cell Zone", use_custom_field_function=False, custom_field_function_name="", value="IF(x < 0 [m], 1, IF(y < 0.008 [m], 1, 0))" )) actual = water_volume() if abs(actual-initial_volume)/initial_volume > 0.03: save("initial_water_check_failed") raise RuntimeError("Initial tank and pipe water-volume validation failed") save("initial") contour = object_for(s.results.graphics.contour, "local_vof_check") if "phase-2-vof" not in contour.field.allowed_values(): raise RuntimeError("Water volume-fraction field is unavailable") contour.field = "phase-2-vof" iso = s.results.surfaces.iso_surface object_for(iso, "local_midplane").set_state({ "field": "z-coordinate", "iso_values": [0.015] }) object_for(iso, "local_free_surface").set_state({ "field": "phase-2-vof", "iso_values": [0.5] }) surfaces = ["local_midplane", "local_free_surface"] s.solution.run_calculation.transient_controls.time_step_size = dt s.solution.run_calculation.transient_controls.max_iter_per_time_step = 15 try: for label, frames in [("pre_0p02s", 3), ("final_0p25s", 24)]: result = fluentagi.record_animation( directory=task_directory, field="phase-2-vof", frames=frames, steps_per_frame=10, max_iter_per_step=15, surfaces=surfaces ) checked("ANIMATION_" + label, result) animation_outputs.append(result) completed_steps += (frames-1)*10 save(label) actual = water_volume() upper_bound = initial_volume + 0.000048*completed_steps*dt print("WATER_INVENTORY", { "nominal_time_s": completed_steps*dt, "water_volume_m3": actual, "initial_plus_injected_volume_m3": upper_bound, "difference_includes_outlet_transport_m3": upper_bound-actual }) print("RUN_STATE", s.solution.run_calculation.get_state()) if actual < 0 or actual > upper_bound*1.05: raise RuntimeError("Water inventory failed basic bounds check") for field in ["phase-2-vof", "velocity-magnitude"]: checked("FINAL_EXPORT_" + field, fluentagi.export_results( directory=task_directory, fields=[field], surfaces=surfaces )) except Exception as exc: print("STOPPED", str(exc)) print("CONFIRMED_BATCH_STEPS", completed_steps) try: save("interrupted") except Exception as save_error: print("SAVE_ERROR", str(save_error)) raise print("ANIMATION_OUTPUTS", animation_outputs) print("FINAL_SUMMARY", { "tank_dimensions_m": [0.060, 0.060, 0.030], "inlet_pipe_dimensions_m": [0.012, 0.006, 0.010], "drain_pipe_dimensions_m": [0.012, 0.006, 0.010], "drain_y_range_m": [0.002, 0.008], "inlet_velocity_m_s": velocity, "time_step_s": dt, "nominal_physical_time_s": completed_steps*dt, "water_volume_m3": actual, "task_directory": task_directory }) print("Outlet physical group combines the atmospheric top vent and drain end.") print("Inventory bounds do not constitute a measured phase-flux balance.") print("Verify residuals, actual flow time, wall impact and drainage in animation.") print("Wall-clock duration is machine-dependent; no hard timeout is configured.") ``` 入口和右下出口均增加 12×6×10 mm 长方体管段,右下出口位于距箱底 2~8 mm。采用按区域分配尺寸的结构化局部加密,预计约 1.4 万个六面体单元;入口速度保持 0.8 m/s,计划计算 0.25 s。 顶部通气口与排水管末端统一设为大气压力出口。新增排水后,水量减少包含实际排出量,不能再按封闭水箱公式判定质量误差;实际网格数量、排水效果及动画以执行结果为准。 round-02 【发送给 ChatGPT】 You are FluentAGI for Ansys Fluent. Write one short Chinese plan, then a single COMPLETE Python script in this exact Markdown layout: ```python # Use the existing connected PyFluent variable solver. # Continue with the complete executable script here. ``` Put a newline before and after each tag and each fence. Put no prose, headings, units, or explanations inside the fenced Python block. Do not place ```python and Python statements on the same line. Keep the script under 280 lines. Use loops instead of repeating similar statements. Never truncate a string, parenthesis, or code fence; always close . Use the existing solver session and compatible PyFluent APIs. Do not launch or close Fluent. Do not use Abaqus APIs. Use solver.settings APIs and the provided fluentagi adapters. Direct solver.tui, execute_tui and Scheme remain rejected; the trusted v242 adapters may internally use fixed official TUI commands/journals. For mesh display use solver.settings.results.graphics.mesh and graphics.views APIs. Do not return JSON tool plans. Do not invent mesh files or API names. Only operate on the requested case and task directory. Preserve existing results. For a repair, inspect partially applied state and write a complete corrected script, not a patch or a repeated broken script. The web AI cannot read or modify host application source. Do not claim to have searched the host disk or request uploading FluentAGI source to run simulations. Use the verified runtime adapters. Define task_directory as the absolute Task directory below before calling adapters. For VOF surface tension use fluentagi.configure_surface_tension(directory=task_directory,coefficient=0.072,phase_a="phase-1",phase_b="phase-2"); coefficient is N/m, replace the example with the requested value. This v242 adapter preserves other phase pairs, enables the surface-tension model and reads back every coefficient. inspect_surface_tension(directory=task_directory) returns verified state. Do not ask the user to edit the plugin or click GUI dialogs for this supported operation. For three-phase boiling setup in Fluent 2024 R2, use fluentagi.configure_three_phase_materials(directory=task_directory, materials=["air", "water-liquid", "water-vapor"]) to create actual phase-1/2/3 domains and verify material assignments. For an existing three-phase model, fluentagi.assign_multiphase_materials(materials=[...], directory=task_directory) assigns materials without changing the phase count. Then call fluentagi.configure_evaporation_condensation(directory=task_directory, saturation_temperature=T_sat_K, evaporation_frequency=from_frequency_per_second, condensation_frequency=to_frequency_per_second, from_phase="phase-2", to_phase="phase-3"). Pass the user's specified temperature/frequencies; preserve their geometry, heating and calculation parameters. This verified v242 VOF Lee adapter enables energy, uses a fixed official TUI journal and verifies the phase pair, constant saturation temperature, both frequencies and Lee model by an independent case snapshot. It does not initialize or advance the simulation. Do not say this feature is unavailable because direct TUI is forbidden; use the adapter. fluentagi.inspect_phase_change(directory=task_directory) returns actual phases and mass transfer settings, refreshing a unique case snapshot. Do not replace existing unrelated mechanisms. This adapter supports one Lee mass transfer pair, not Eulerian wall boiling, semi-mechanistic wall boiling, pressure-dependent saturation tables or UDFs. Do not claim a complete validated boiling simulation from successful setup alone. initialize_air is a TWO-PHASE adapter; do not use it for three-phase cases. Use verified settings initialization and phase-aware patching only for requested new calculations. The runtime provides fluentagi.assign_phase_materials(primary="air", secondary="water-liquid", directory=task_directory), fluentagi.inspect_phases(), and fluentagi.export_results(directory=task_directory, fields=["pressure", "velocity-magnitude"]). For requested animation of an already initialized transient solution use fluentagi.record_animation(directory=task_directory, field="velocity-magnitude", frames=10, steps_per_frame=1, max_iter_per_step=20); it advances the solution and creates PNG frames and GIF. Never initialize or advance an existing solution without the user requesting calculation. These are executable verified adapters, not prose instructions. Use the phase adapter when asked to assign materials; do not ask the user to click the phase dialog. Print returned results. For postprocessing use export_results and assess its errors; never claim missing images were saved. Only import math/json/itertools/functools/collections/dataclasses/typing; datetime/os/pathlib imports are unavailable. Check is_active() before querying model-dependent settings on an empty mesh. For NEW planar geometry and meshing use mesh = fluentagi.build_planar(directory=task_directory, points=[[x,y],...], inlet_edges=[0], outlet_edges=[2], size=0.001). Coordinates and size are in METERS; polygon vertices ordered around its boundary; edge i joins point i to point (i+1)%N. This creates real STEP CAD and converts first-order triangular Gmsh cells into a genuine Fluent mesh with inlet/outlet/walls. Then solver.settings.file.read_mesh(file_name=mesh["mesh_file"]), solver.settings.mesh.check(), configure physics, initialize, iterate, and export_results. Save current case/data before replacing loaded geometry. Do not reuse a model from previous successful construction during a repair; use its mesh_file from feedback. For curved planar CAD, use fluentagi.geometry_mesh(directory=task_directory,code=gmsh_script_string); the worker has gmsh,math,output_dir already, no imports; create OCC geometry and physical line groups named inlet,outlet,walls, export STEP, generate first-order triangular or quadrilateral mesh(2). Returned mesh_file is Fluent format; gmsh-native.msh is NOT Fluent format. 3D modeling and volume mesh conversion are now implemented. fluentagi.build_volume(directory=task_directory, shape="box",length=0.1,width=0.02,height=0.02,size=0.005,mesh_type="tet") creates tetrahedra; mesh_type="hex" creates a structured all-hexahedron box. shape="cylinder",radius=0.01 supports tetrahedra with axis along +X. Inlet is X=0 and outlet X=length. fluentagi.build_extruded(directory=task_directory,points=[[x,y],...],inlet_edges=[0],outlet_edges=[2],depth=0.01,size=0.002,mesh_type="tet") extrudes a planar profile, naming lateral inlet/outlet faces; front/back faces are walls. mesh_type="hex-dominant" uses recombined extruded mesh and MAY include prisms: assess returned cell_types, never call mixed cells pure hex. geometry_mesh supports arbitrary OCC volumes (boolean unions/cuts), physical SURFACE groups inlet/outlet/walls, and mesh.generate(3), first-order tet/hex/prism/pyramid. Imported STEP is not currently supported by the restricted worker. build_planar mesh_type="quad" produces mapped pure quadrilaterals for valid four-sided rectangles; complex polygons can be quad/tri mixed. 2D uses triangles/quads, 3D uses tet/hex. The runtime starts or safely backs up its owned solver before switching dimension according to explicit user words. Do not request user-supplied 3D mesh for supported geometry. Save backups before replacing any loaded mesh. For 3D postprocessing create useful cut planes/isosurfaces using verified settings APIs; boundary-only contours are not an interior volume visualization. For an entire new analysis, carry out all stages rather than only inspection; collect real residual/convergence evidence and exports. For water-air transient filling, call fluentagi.configure_water_air(directory=task_directory,velocity=0.05,time_step=0.001,gravity_y=-9.81,inlet="inlet",outlet="outlet"). This backs up and sets laminar VOF, materials, phase-aware inlet/outlet, gravity and timestep; does NOT initialize or erase existing solution. For requested NEW filling use fluentagi.initialize_air(directory=task_directory), which saves a backup, hybrid initializes and patches phase-2 volume fraction to zero across all fluid cell zones. Never initialize_air on existing results without an explicit restart request. Fluent v242 contour fields are phase-2-vof (water, only after confirming phase-2=water-liquid) and phase-1-vof (air); do not confuse them. Query real contour field.allowed_values for VOF fields. For 3D interior contours/animation use section=fluentagi.create_section(axis="z",position=depth/2), then export_results(...,surfaces=[section["surface"]]) or record_animation(...,surfaces=[section["surface"]]). A plane section is not full volumetric rendering; report it accurately. Frames are 2..60. Each frame after the first advances steps_per_frame real time steps; final time is initial time+(frames-1)*steps_per_frame*time_step. Do not claim the pipe fills if the simulated duration is too short. Normalize typos like "二维四面体" by explaining 2D triangular equivalent; if depth/3D was explicitly requested, use volume tools. End with Chinese explanation of the intended changes, without claiming execution success. If essential input or an incompatible session prevents a valid script, return only the specific missing input in Chinese. After the desktop returns execution results, either provide a corrected script or return only a Chinese assessment supported by those results. Do not execute the same successful script again. Successful execution alone does not prove convergence. Runtime capabilities: {"protocol": "FluentAGI-capabilities-v1", "session": {"connected": true, "mode": "launch"}, "geometry": {"worker": "gmsh isolated process", "imports": [], "builtins": ["range", "len", "int", "float", "str", "list", "tuple", "enumerate", "zip", "min", "max", "abs", "round", "RuntimeError", "ValueError", "print", "set", "sum", "sorted", "bool", "all", "any"], "physical_groups": ["inlet", "outlet", "walls"], "cell_types": ["triangle", "quadrilateral", "tetrahedron", "hexahedron", "prism", "pyramid"]}, "script": {"imports": ["math", "json", "itertools", "functools", "collections", "dataclasses", "typing"], "adapters": ["build_planar", "build_volume", "build_extruded", "geometry_mesh", "configure_water_air", "initialize_air", "record_animation", "export_results", "assign_phase_materials", "assign_multiphase_materials", "configure_three_phase_materials", "configure_evaporation_condensation", "inspect_phase_change", "configure_surface_tension", "inspect_surface_tension"]}, "generated_at": 1792220599.3309379, "phase_change": {"version": "v242", "model": "VOF Lee", "phases": [2, 3], "saturation": "constant K", "frequencies": "positive finite 1/s", "mass_transfer_pairs": 1, "internal_official_tui": true, "generated_direct_tui": false, "readback": "unique case snapshot", "initializes": false}, "surface_tension": {"version": "v242", "model": "VOF", "coefficient": "nonnegative finite N/m", "preserves_other_pairs": true, "readback": "unique case snapshot", "initializes": false}, "fluent_version": "Ansys Fluent 2024 R2", "model_active": false} Current session: {"connected": true, "dimension": 3, "mode": "solver", "owned": true} Task directory: C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261017-150300-e37701 Current request: 网格智能局部加密,入口,出口都有长方体,右下角新增一个出口 Desktop execution feedback: [{"action": {"tool": "run_code", "arguments": {"code": "# Use the existing connected PyFluent variable solver.\nimport math\nimport json\n\ntask_directory = r\"C:\\Users\\13977\\AppData\\Local\\FluentAGI\\data\\runs\\20261017-150300-e37701\"\ns = solver.settings\nprefix = task_directory + r\"\\local_jet_9fd5359e\"\nvelocity = 0.8\ndt = 0.001\ncompleted_steps = 0\ninitial_volume = 1.584e-5\nanimation_outputs = []\n\ndef checked(label, result):\n print(label, result)\n if isinstance(result, dict):\n if result.get(\"success\") is False or result.get(\"ok\") is False:\n raise RuntimeError(label + \": \" + str(result))\n if result.get(\"status\") in [\"error\", \"failed\"]:\n raise RuntimeError(label + \": \" + str(result))\n if result.get(\"error\") or result.get(\"errors\"):\n raise RuntimeError(label + \": \" + str(result))\n return result\n\ndef object_for(collection, name):\n names = list(collection.get_object_names())\n if name not in names:\n collection.create(name=name)\n if name not in collection.get_object_names():\n raise RuntimeError(\"Object creation failed: \" + name)\n return collection[name]\n\ndef save(label):\n path = prefix + \"_\" + label + \".cas.h5\"\n s.file.write_case_data(file_name=path)\n print(\"SAVED_CASE_DATA\", path)\n\ndef number(raw, name):\n if isinstance(raw, dict):\n if name in raw:\n value = raw[name]\n while isinstance(value, (list, tuple)) and len(value):\n value = value[0]\n if isinstance(value, (float, int)):\n return float(value)\n for value in raw.values():\n result = number(value, name)\n if result is not None:\n return result\n elif isinstance(raw, (list, tuple)):\n for value in raw:\n result = number(value, name)\n if result is not None:\n return result\n return None\n\ndef water_volume():\n raw = s.solution.report_definitions.compute(\n report_defs=[\"local_water_volume\"]\n )\n print(\"WATER_VOLUME_REPORT\", raw)\n result = number(raw, \"local_water_volume\")\n if result is None or not math.isfinite(result):\n raise RuntimeError(\"Invalid water-volume report\")\n return result\n\ngmsh_code = r\"\"\"\nxs = [0.0, 0.012, 0.042, 0.060]\nys = [0.0, 0.002, 0.008, 0.014, 0.044, 0.050, 0.056, 0.060]\nzs = [0.0, 0.010, 0.020, 0.030]\nboxes = []\nfor i in range(len(xs)-1):\n for j in range(len(ys)-1):\n for k in range(len(zs)-1):\n tag = gmsh.model.occ.addBox(\n xs[i], ys[j], zs[k],\n xs[i+1]-xs[i], ys[j+1]-ys[j], zs[k+1]-zs[k])\n boxes.append((3, tag))\ntag = gmsh.model.occ.addBox(-0.012, 0.050, 0.010, 0.012, 0.006, 0.010)\nboxes.append((3, tag))\ntag = gmsh.model.occ.addBox(0.060, 0.002, 0.010, 0.012, 0.006, 0.010)\nboxes.append((3, tag))\ngmsh.model.occ.fragment([boxes[0]], boxes[1:])\ngmsh.model.occ.synchronize()\ntol = 1e-6\ngroups = {\"inlet\": [], \"outlet\": [], \"walls\": []}\ntop_count = 0\ndrain_count = 0\nfor dim, tag in gmsh.model.getEntities(2):\n up, down = gmsh.model.getAdjacencies(2, tag)\n if len(up) != 1:\n continue\n x, y, z = gmsh.model.occ.getCenterOfMass(2, tag)\n if abs(x+0.012) < tol and 0.050 < y < 0.056 and 0.010 < z < 0.020:\n groups[\"inlet\"].append(tag)\n elif abs(x-0.072) < tol and 0.002 < y < 0.008 and 0.010 < z < 0.020:\n groups[\"outlet\"].append(tag)\n drain_count += 1\n elif abs(y-0.060) < tol and 0.0 < x < 0.060:\n groups[\"outlet\"].append(tag)\n top_count += 1\n else:\n groups[\"walls\"].append(tag)\nif top_count == 0 or drain_count == 0:\n raise RuntimeError(\"Top vent or lower-right drain is missing\")\nfor name in [\"inlet\", \"outlet\", \"walls\"]:\n if not groups[name]:\n raise RuntimeError(\"Missing physical boundary: \" + name)\n group = gmsh.model.addPhysicalGroup(2, groups[name])\n gmsh.model.setPhysicalName(2, group, name)\nvolumes = [tag for dim, tag in gmsh.model.getEntities(3)]\ngroup = gmsh.model.addPhysicalGroup(3, volumes)\ngmsh.model.setPhysicalName(3, group, \"fluid\")\nfor dim, tag in gmsh.model.getEntities(1):\n ends = gmsh.model.getBoundary([(1, tag)], oriented=False)\n a = gmsh.model.getValue(0, ends[0][1], [])\n b = gmsh.model.getValue(0, ends[1][1], [])\n distance = math.sqrt(sum((a[i]-b[i])**2 for i in range(3)))\n midpoint = [(a[i]+b[i])/2.0 for i in range(3)]\n spacing = 0.0025\n if abs(a[0]-b[0]) > tol:\n if midpoint[0] < 0.012 or midpoint[0] > 0.042:\n spacing = 0.0015\n else:\n spacing = 0.003\n elif abs(a[1]-b[1]) > tol:\n if midpoint[1] < 0.008 or midpoint[1] > 0.050:\n spacing = 0.0015\n elif midpoint[1] < 0.014 or midpoint[1] > 0.044:\n spacing = 0.002\n else:\n spacing = 0.003\n elif abs(a[2]-b[2]) > tol:\n if 0.010 < midpoint[2] < 0.020:\n spacing = 0.00125\n intervals = max(1, int(round(distance/spacing)))\n gmsh.model.mesh.setTransfiniteCurve(tag, intervals+1)\nfor dim, tag in gmsh.model.getEntities(2):\n gmsh.model.mesh.setTransfiniteSurface(tag)\n gmsh.model.mesh.setRecombine(2, tag)\nfor tag in volumes:\n gmsh.model.mesh.setTransfiniteVolume(tag)\ngmsh.option.setNumber(\"Mesh.ElementOrder\", 1)\ngmsh.write(output_dir + \"/tank_inlet_drain.step\")\ngmsh.model.mesh.generate(3)\ntypes, element_tags, nodes = gmsh.model.mesh.getElements(3)\ncount = 0\nfor i in range(len(types)):\n if int(types[i]) != 5:\n raise RuntimeError(\"Non-hexahedral volume cell detected\")\n count += len(element_tags[i])\nexpected_volume = 0.060*0.060*0.030 + 2*0.012*0.006*0.010\nactual_volume = sum(gmsh.model.occ.getMass(3, tag) for tag in volumes)\nif abs(actual_volume-expected_volume)/expected_volume > 1e-6:\n raise RuntimeError(\"Fluid geometry volume validation failed\")\nprint(\"VERIFIED_HEX8_CELLS\", count)\nprint(\"VERIFIED_FLUID_VOLUME_M3\", actual_volume)\nprint(\"TOP_VENT_FACES\", top_count)\nprint(\"LOWER_RIGHT_DRAIN_FACES\", drain_count)\ngmsh.write(output_dir + \"/local_hex_native.msh\")\n\"\"\"\n\nif s.setup.models.is_active():\n print(\"PREVIOUS_MODEL\", s.setup.models.multiphase.get_state())\n print(\"PREVIOUS_RUN_STATE\", s.solution.run_calculation.get_state())\n save(\"before_geometry_change\")\n\nmesh = checked(\"LOCAL_HEX_MESH\", fluentagi.geometry_mesh(\n directory=task_directory, code=gmsh_code\n))\nif not isinstance(mesh, dict) or not mesh.get(\"mesh_file\"):\n raise RuntimeError(\"Geometry adapter did not return a Fluent mesh_file\")\ns.file.read_mesh(file_name=mesh[\"mesh_file\"])\ns.mesh.check()\n\nchecked(\"WATER_AIR_SETUP\", fluentagi.configure_water_air(\n directory=task_directory,\n velocity=velocity,\n time_step=dt,\n gravity_y=-9.81,\n inlet=\"inlet\",\n outlet=\"outlet\"\n))\nchecked(\"SURFACE_TENSION\", fluentagi.configure_surface_tension(\n directory=task_directory, coefficient=0.072,\n phase_a=\"phase-1\", phase_b=\"phase-2\"\n))\nchecked(\"PHASES\", fluentagi.inspect_phases())\nprint(\"BOUNDARIES\", s.setup.boundary_conditions.get_state())\n\nscheme = s.solution.methods.p_v_coupling.flow_scheme\nfor candidate in [\"PISO\", \"piso\"]:\n if candidate in scheme.allowed_values():\n scheme.set_state(candidate)\n break\nprint(\"SOLUTION_METHODS\", s.solution.methods.get_state())\n\nchecked(\"INITIALIZE_NEW_GEOMETRY\", fluentagi.initialize_air(\n directory=task_directory\n))\nzones = list(s.setup.cell_zone_conditions.fluid.get_object_names())\nreport = object_for(s.solution.report_definitions.volume, \"local_water_volume\")\nreport.set_state({\n \"report_type\": \"volume-integral\",\n \"field\": \"phase-2-vof\",\n \"cell_zones\": zones\n})\nprint(\"INITIAL_WATER_PATCH\", s.solution.initialization.patch.calculate_patch(\n domain=\"phase-2\", cell_zones=zones, registers=[],\n variable=\"mp\", reference_frame=\"Relative to Cell Zone\",\n use_custom_field_function=False, custom_field_function_name=\"\",\n value=\"IF(x < 0 [m], 1, IF(y < 0.008 [m], 1, 0))\"\n))\nactual = water_volume()\nif abs(actual-initial_volume)/initial_volume > 0.03:\n save(\"initial_water_check_failed\")\n raise RuntimeError(\"Initial tank and pipe water-volume validation failed\")\nsave(\"initial\")\n\ncontour = object_for(s.results.graphics.contour, \"local_vof_check\")\nif \"phase-2-vof\" not in contour.field.allowed_values():\n raise RuntimeError(\"Water volume-fraction field is unavailable\")\ncontour.field = \"phase-2-vof\"\niso = s.results.surfaces.iso_surface\nobject_for(iso, \"local_midplane\").set_state({\n \"field\": \"z-coordinate\", \"iso_values\": [0.015]\n})\nobject_for(iso, \"local_free_surface\").set_state({\n \"field\": \"phase-2-vof\", \"iso_values\": [0.5]\n})\nsurfaces = [\"local_midplane\", \"local_free_surface\"]\ns.solution.run_calculation.transient_controls.time_step_size = dt\ns.solution.run_calculation.transient_controls.max_iter_per_time_step = 15\n\ntry:\n for label, frames in [(\"pre_0p02s\", 3), (\"final_0p25s\", 24)]:\n result = fluentagi.record_animation(\n directory=task_directory, field=\"phase-2-vof\",\n frames=frames, steps_per_frame=10,\n max_iter_per_step=15, surfaces=surfaces\n )\n checked(\"ANIMATION_\" + label, result)\n animation_outputs.append(result)\n completed_steps += (frames-1)*10\n save(label)\n actual = water_volume()\n upper_bound = initial_volume + 0.000048*completed_steps*dt\n print(\"WATER_INVENTORY\", {\n \"nominal_time_s\": completed_steps*dt,\n \"water_volume_m3\": actual,\n \"initial_plus_injected_volume_m3\": upper_bound,\n \"difference_includes_outlet_transport_m3\": upper_bound-actual\n })\n print(\"RUN_STATE\", s.solution.run_calculation.get_state())\n if actual < 0 or actual > upper_bound*1.05:\n raise RuntimeError(\"Water inventory failed basic bounds check\")\n for field in [\"phase-2-vof\", \"velocity-magnitude\"]:\n checked(\"FINAL_EXPORT_\" + field, fluentagi.export_results(\n directory=task_directory, fields=[field], surfaces=surfaces\n ))\nexcept Exception as exc:\n print(\"STOPPED\", str(exc))\n print(\"CONFIRMED_BATCH_STEPS\", completed_steps)\n try:\n save(\"interrupted\")\n except Exception as save_error:\n print(\"SAVE_ERROR\", str(save_error))\n raise\n\nprint(\"ANIMATION_OUTPUTS\", animation_outputs)\nprint(\"FINAL_SUMMARY\", {\n \"tank_dimensions_m\": [0.060, 0.060, 0.030],\n \"inlet_pipe_dimensions_m\": [0.012, 0.006, 0.010],\n \"drain_pipe_dimensions_m\": [0.012, 0.006, 0.010],\n \"drain_y_range_m\": [0.002, 0.008],\n \"inlet_velocity_m_s\": velocity,\n \"time_step_s\": dt,\n \"nominal_physical_time_s\": completed_steps*dt,\n \"water_volume_m3\": actual,\n \"task_directory\": task_directory\n})\nprint(\"Outlet physical group combines the atmospheric top vent and drain end.\")\nprint(\"Inventory bounds do not constitute a measured phase-flux balance.\")\nprint(\"Verify residuals, actual flow time, wall impact and drainage in animation.\")\nprint(\"Wall-clock duration is machine-dependent; no hard timeout is configured.\")"}}, "result": "{\"status\": \"ok\", \"stdout\": \"LOCAL_HEX_MESH {'files': ['C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261017-150300-e37701\\\\\\\\cad-edf72abf\\\\\\\\fluent.msh', 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261017-150300-e37701\\\\\\\\cad-edf72abf\\\\\\\\local_hex_native.msh', 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261017-150300-e37701\\\\\\\\cad-edf72abf\\\\\\\\tank_inlet_drain.step'], 'log': \\\" Meshing surface 238 (Transfinite)\\\\nInfo : [100%] Meshing surface 239 (Transfinite)\\\\nInfo : [100%] Meshing surface 240 (\n…中间日志已省略,完整日志保存在任务目录…\nse}, 'fixed_periodic': {'enabled': False}, 'multiphase_specific_time_constraints': {'physics_based_constraint': False}, 'solid_time_step_size': {'enable_solid_time_step': False}}, 'data_sampling': {'enabled': False}}\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261017-150300-e37701\\\\post-150856-3b37\\\\result.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n 13952 cells, 1 zone ...\\n 43816 faces, 4 zones ...\\n 16003 nodes, 1 zone ...\\n Done.\\nDone.\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261017-150300-e37701\\\\post-150856-3b37\\\\result.dat.h5\\\" in NODE0 mode and compression level 1 ...\\n Writing results.\\nDone.\\nFINAL_EXPORT_phase-2-vof {'status': 'ok', 'directory': 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261017-150300-e37701\\\\\\\\post-150856-3b37', 'created': '2026-10-17T15:08:56.748285', 'files': ['mesh.png', 'phase-2-vof.png', 'residual.csv', 'result.cas.h5', 'result.dat.h5'], 'errors': [], 'convergence_verified': False}\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261017-150300-e37701\\\\post-150858-4083\\\\result.cas.h5\\\" in NODE0 mode and compression level 1 ...\\nGrouping cells for Laplace smoothing ...\\n 13952 cells, 1 zone ...\\n 43816 faces, 4 zones ...\\n 16003 nodes, 1 zone ...\\n Done.\\nDone.\\n\\nWriting to Austra:\\\"C:\\\\Users\\\\13977\\\\AppData\\\\Local\\\\FluentAGI\\\\data\\\\runs\\\\20261017-150300-e37701\\\\post-150858-4083\\\\result.dat.h5\\\" in NODE0 mode and compression level 1 ...\\n Writing results.\\nDone.\\nFINAL_EXPORT_velocity-magnitude {'status': 'ok', 'directory': 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261017-150300-e37701\\\\\\\\post-150858-4083', 'created': '2026-10-17T15:08:58.685854', 'files': ['mesh.png', 'residual.csv', 'result.cas.h5', 'result.dat.h5', 'velocity-magnitude.png'], 'errors': [], 'convergence_verified': False}\\nANIMATION_OUTPUTS [{'status': 'ok', 'field': 'phase-2-vof', 'frames': 3, 'advanced_time_steps': 20, 'directory': 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261017-150300-e37701\\\\\\\\animation-c540d60a', 'convergence_verified': False}, {'status': 'ok', 'field': 'phase-2-vof', 'frames': 24, 'advanced_time_steps': 230, 'directory': 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261017-150300-e37701\\\\\\\\animation-7545e2e8', 'convergence_verified': False}]\\nFINAL_SUMMARY {'tank_dimensions_m': [0.06, 0.06, 0.03], 'inlet_pipe_dimensions_m': [0.012, 0.006, 0.01], 'drain_pipe_dimensions_m': [0.012, 0.006, 0.01], 'drain_y_range_m': [0.002, 0.008], 'inlet_velocity_m_s': 0.8, 'time_step_s': 0.001, 'nominal_physical_time_s': 0.25, 'water_volume_m3': 2.578199241936049e-05, 'task_directory': 'C:\\\\\\\\Users\\\\\\\\13977\\\\\\\\AppData\\\\\\\\Local\\\\\\\\FluentAGI\\\\\\\\data\\\\\\\\runs\\\\\\\\20261017-150300-e37701'}\\nOutlet physical group combines the atmospheric top vent and drain end.\\nInventory bounds do not constitute a measured phase-flux balance.\\nVerify residuals, actual flow time, wall impact and drainage in animation.\\nWall-clock duration is machine-dependent; no hard timeout is configured.\\n\", \"stderr\": \"\", \"return_value\": null, \"message\": null, \"error_code\": null, \"warnings\": []}"}] 【ChatGPT 回复】 ChatGPT 说: 本次执行成功,无报错,已完成: 13952 个六面体单元,入口、出口及射流相关区域局部加密。 入口和右下排水口均带 12×6×10 mm 长方体管段。 入口速度 0.8 m/s;实际推进 250 步,共 0.25 s。 正式动画 24 帧,另有预跑动画 3 帧。 已导出水相体积分数图、速度图、残差 CSV 和可重新打开的 case/data。 文件位置以此目录为根: C:\Users\13977\AppData\Local\FluentAGI\data\runs\20261017-150300-e37701 正式动画:animation-7545e2e8 水相结果:post-150856-3b37 速度结果:post-150858-4083 最终域内水量 25.782 mL,比“初始水量+累计进水量”少约 2.058 mL;这与存在排水相符,但尚不能作为完整质量守恒验证。接口返回 convergence_verified=False,仍需检查残差和动画画面,确认撞墙及排水效果。