ParaView wake vorticity visualization around an airfoil

Scientific visualization / ParaView evidence

ParaView CFD Visualization Pack

Reproducible ParaView asset-production pack: scientific data ingestion, pipeline state, scripted rendering, camera animation, and QA rubric for AI visualization review.

Reviewer path: Start with the CFD visualization pack, open the ParaView state file, compare the four rendered outputs, review the 20-second animation, then inspect the original CGNS airfoil mesh evidence.
4

rendered scientific views

1

20-second animation

2

ParaView-readable datasets

1

reproducible `.pvsm` state

Scope note

This project separates two goals: synthetic vector/scalar flow data is used to demonstrate ParaView visualization workflow control, while the included NACA 0012 CGNS mesh demonstrates native scientific data ingestion through ParaView's CGNS reader. No claim is made that the synthetic field is a validated CFD simulation.

Pipeline summary

Data to ParaView pipeline to reusable assets.

Data

Synthetic airfoil scalar/vector field plus real NACA 0012 CGNS mesh from the URP research repository.

Readers

XML Image Data reader for `.vti` flow fields and `CGNSSeriesReader` for native `.cgns` mesh ingestion.

Filters

Slice, Clip, Stream Tracer, color mapping, scalar bars, camera state, and scripted screenshot export.

Outputs

4 screenshots, 1 MP4 camera animation, 1 `.pvsm` state file, and 1 `pvpython` regeneration script.

Reproducibility

All outputs regenerate from checked-in data and the public script/state files.

Real dataset ingestion

Native CGNS ingestion is first-class evidence.

The original URP airfoil file is directly inspectable: ParaView opens `n0012_449-129.cgns` with `CGNSSeriesReader` and resolves it into a nested multiblock object containing a `vtkStructuredGrid`.

Flagship project

Airfoil CFD Scientific Visualization Portfolio

A focused ParaView evidence pack extending airfoil/CGNS visualization work and showing the work this role likely cares about: load scientific data, build a pipeline, export screenshots and animation, preserve state files, and explain what each visual means.

20-second four-scene ParaView walkthrough: pressure, streamlines, slice/clip inspection, and wake vorticity.

Required visualization outputs

Four inspectable ParaView views.

The screenshots are generated from the reproducible `pvpython` workflow and checked into the public URP repository.

Pressure coefficient field around a NACA-style airfoil 01

Pressure Field

Array: `pressure_coefficient`. Pipeline: VTI reader → Slice → Color Map → Scalar Bar → Save Screenshot.

Open output
Velocity streamlines around an airfoil colored by speed 02

Velocity Streamlines

Arrays: `velocity`, `speed`. Pipeline: VTI reader → Stream Tracer → Line Seed → Color by speed.

Open output
Clipped ParaView half-volume showing velocity magnitude 03

Slice / Clip View

Array: `speed`. Pipeline: VTI reader → Clip Plane → Surface With Edges → Camera State.

Open output
Wake vorticity around an airfoil with diverging color range 04

Wake Vorticity

Array: `vorticity_z`. Pipeline: VTI reader → Slice → Diverging scalar range → Airfoil body overlay.

Open output

Pipeline state evidence

The pipeline is preserved, not just rendered.

The checked-in `.pvsm` keeps the reproducible ParaView graph. The evidence is the state file, regeneration script, and outputs that reload from repository data.

Pipeline Browser Open `.pvsm`
XMLImageDataReader1
  Slice1
  StreamTracer1
XMLPolyDataReader1
  Airfoil body overlay
RenderView
  pressure_coefficient
  speed
  vorticity_z
  camera + scalar bar state

Original URP evidence

NACA 0012 CGNS Airfoil Mesh

The original URP work with Dr. Shaowu Pan includes a checked-in `n0012_449-129.cgns` file. ParaView opens it with `CGNSSeriesReader` and resolves a nested multiblock object containing a `vtkStructuredGrid`.

ParaView render of the URP CGNS NACA 0012 airfoil mesh
Native CGNS mesh evidence rendered through ParaView from the public URP repository.

AI visualization evaluation

Scientific Visualization QA Rubric

This section supports the AI research angle: how to evaluate generated ParaView assets before accepting them as useful scientific visualization training or review material.

Openability: 0-2

Data and state files open in ParaView without fatal errors or missing source paths.

Data-array validity: 0-2

Scalar and vector arrays are named, documented, and matched to visual claims.

Visual claim alignment: 0-2

The rendered image shows the field it claims, with readable legends and bounded ranges.

Reproducibility: 0-2

Screenshots and animations regenerate from scripts or `.pvsm` files.

Annotation quality: 0-2

Captions explain arrays, filters, and interpretation without overselling the source data.

Visual honesty gate

Synthetic datasets must be labeled synthetic, with no unsupported solver or validation claims.

Example evaluation: Pressure field view

Score: 8/10. Passes openability, array validity, visual claim alignment, and reproducibility. Needs reviewer awareness that the field is synthetic CFD-style data, not solver-validated output.

Evidence package

Evidence package for technical review.

Every artifact below is public and inspectable in the URP repository.

Asset Format Purpose
CFD visualization packfolderApplication-ready ParaView evidence package
Airfoil flow field`.vti`ParaView-readable vector/scalar flow data
Airfoil body geometry`.vtp`Independent airfoil body geometry for rendering
ParaView pipeline state`.pvsm`Reproducible pressure, streamline, slice, and vorticity pipeline
Generation script`.py``pvpython` automation for data, screenshots, state, and MP4
Camera animation`.mp4`20-second four-scene ParaView walkthrough
Visualization decisions`.md`Interpretation, scope, and reviewer notes
Original CGNS dataset`.cgns`NACA 0012 CGNS airfoil mesh evidence
CGNS inspection log`.txt`Reader, VTK object tree, bounds, and array notes
AI sciviz rubric`.md`Criteria for reviewing generated visualization assets

Portfolio link recommendation for the survey: submit this page or the URP pack folder directly. The strongest proof is the public `paraview-cfd-visualization-pack`, with original CGNS airfoil evidence as supporting context.