Manatee – Fast, Accurate Vibroacoustic Simulation for e-NVH Design
Manatee is a collaborative simulation and analysis tool that helps engineers quickly and accurately optimize the vibroacoustic performance of electric machines and drives under electromagnetic excitations. Its easy-to-use interface supports control, electrical, mechanical, and NVH engineers.
Controlling noise and vibration is essential at every design stage, from early studies to prototype testing. Electric machines can create high electromagnetic noise and vibration (e-NVH) due to Maxwell forces, sometimes reaching 125 dBA at 1 meter. These effects can impact comfort, durability, and environmental performance.
Early design choices in electrical, magnetic, or mechanical aspects can change noise and vibration by up to ±20 dB. Since prototyping is expensive and slow, Manatee’s virtual prototyping environment improves productivity, provides valuable insights, and helps achieve better vibroacoustic and electromagnetic performance in less time.
Accelerate electric machine design with accurate e-NVH analysis, FEM integration, and fast setup.
Supports a wide range of machine types with quick model creation.
Import slot and magnet shapes via .DXF files for precise modeling.
Perform fast and reliable electromagnetic noise and vibration analysis.
Includes simplified electric circuits and magnetic models for rapid evaluation.
Supports magnetic and structural FEM for high-fidelity analysis.
Uses beam and semi-analytical acoustic models for fast noise prediction.
Accounts for rotor/stator eccentricities and uneven airgaps for realistic results.
Optimize electric machines for performance, noise, and vibration across automotive, industrial, and mechatronic systems.
Enhance motor performance while minimizing noise and vibration.
Predict NVH behavior for reliable and quiet power generation.
Evaluate drivetrain components for improved acoustic comfort.
Optimize motion systems for minimal vibration and noise.
Assess control strategies and their impact on e-NVH performance.
Identify and resolve potential noise issues before physical testing.