CFD Optimization for Fan Efficiency
Budget: $750 – $1,500 USD
Our in-house R&D team has an existing axial-flow household fan that needs a measurable lift in airflow efficiency. I will supply the current 3D CAD files, motor curves and recent wind-tunnel data; your task is to run a full computational fluid dynamics study in OpenFOAM, diagnose the loss points and translate those findings into practical design tweaks we can prototype on the shop floor.
Key constraints you will need to respect are already locked in: the motor must not exceed the specified RPM band, the current blade planform can only tolerate minor geometry adjustments, and all results must be compatible with the plastics and metal inserts we already mould. Any recommendation has to acknowledge those limits, quantify the expected gain, and outline any side effects on noise or energy draw.
Deliverables
• OpenFOAM case setup, meshes and boundary-condition files ready to rerun in-house
• A concise engineering report detailing methodology, validation checkpoints, airflow maps, efficiency metrics and at least three concrete design actions ranked by impact vs. implementation effort
• Visualisations (pressure contours, velocity streamlines, vortex shedding snapshots) in high-resolution PNG or MP4 for internal presentations
• A short handover call or recorded walk-through to transfer know-how to our junior analysts
Validation data from our blower rig will be shared so you can benchmark simulation accuracy before proposing changes. Turnaround time is flexible within reason, but the sooner we can iterate the blades, the faster we move to tooling updates. Let’s elevate this fan’s performance together.
Key constraints you will need to respect are already locked in: the motor must not exceed the specified RPM band, the current blade planform can only tolerate minor geometry adjustments, and all results must be compatible with the plastics and metal inserts we already mould. Any recommendation has to acknowledge those limits, quantify the expected gain, and outline any side effects on noise or energy draw.
Deliverables
• OpenFOAM case setup, meshes and boundary-condition files ready to rerun in-house
• A concise engineering report detailing methodology, validation checkpoints, airflow maps, efficiency metrics and at least three concrete design actions ranked by impact vs. implementation effort
• Visualisations (pressure contours, velocity streamlines, vortex shedding snapshots) in high-resolution PNG or MP4 for internal presentations
• A short handover call or recorded walk-through to transfer know-how to our junior analysts
Validation data from our blower rig will be shared so you can benchmark simulation accuracy before proposing changes. Turnaround time is flexible within reason, but the sooner we can iterate the blades, the faster we move to tooling updates. Let’s elevate this fan’s performance together.