Selecting an ultrasonic dispersion machine requires a comprehensive evaluation of factors such as material properties, dispersion objectives, and production scale. Drawing on years of industry experience, Hangzhou Precision Machinery has developed a selection system that combines standardized models with customized solutions:
First, selection is based on dispersion objectives: For nanoscale dispersion (e.g., graphene, carbon nanotubes), high-frequency (20 kHz–100 kHz) focused-energy equipment is recommended; its concentrated cavitation intensity effectively exfoliates layered materials or deagglomerates nanoparticles. Conversely, when processing sensitive biological materials (e.g., proteins, probiotics), priority is given to low-frequency (20 kHz–40 kHz), adjustable-energy, sterile-grade equipment to prevent loss of biological activity.
Second, the model is determined by production scale: Small benchtop units (0.5 L–5 L capacity) are suitable for laboratory R&D and feature interfaces for laser particle size analyzers to monitor dispersion results in real-time. Pilot and industrial-scale production require floor-standing or integrated systems (10 L–500 L capacity) capable of seamless integration into production lines; for instance, dual-frequency ultrasonic dispersion equipment can be adapted for the continuous production of photovoltaic pastes.
Finally, parameters are optimized based on material characteristics: For high-viscosity materials (viscosity ≤ 10,000 mPa·s), dual-frequency synergistic or hybrid stirring systems are recommended. Hangzhou Precision Machinery’s multi-frequency switching technology (20/28/40 kHz) automatically matches the optimal frequency combination, eliminating resonance “dead zones” associated with single-frequency operation. For corrosive materials, titanium alloy (TC4) or quartz probes are used to ensure equipment durability. Additionally, the company offers parameter optimization services, leveraging a material property database to design customized dispersion process solutions for clients.
Post time: Jul-10-2026


