Evaluating Particle Size Distribution in High-Viscosity Fluids > 자유게시판

Evaluating particle size distribution in high-viscosity fluids presents unique challenges compared to measurements in low-viscosity liquids or suspensions.

Their high resistance to movement disrupts widely used approaches including laser diffraction and DLS, which rely on particle mobility and Brownian motion for accurate analysis.

With rising viscosity, particle motion decelerates, causing extended measurement durations, diminished clarity, and false aggregates that distort outcomes.

These obstacles demand tailored methodologies.

Another viable option is to thin the medium with a suitable diluent that maintains the native particle structure.

However, this approach requires careful selection of the diluent to avoid chemical interactions, swelling, or dissolution of particles.

If dilution is not feasible, high-shear pre-treatment can be applied to break up agglomerates and promote uniform dispersion prior to analysis.

This step must be standardized to ensure reproducibility, as excessive shear may damage sensitive particles.

An alternative approach employs rheo-optical instruments integrating viscosity sensing with real-time optical detection.

Such setups enable live tracking of particle dynamics under defined shear, delivering insights into both dimensions and flow-dependent responses.

This is particularly useful for non-Newtonian fluids where viscosity changes with applied stress.

Techniques like digital holographic imaging or flow-controlled automated microscopy provide direct particle imaging, bypassing the need for thinning.

Coupled with specialized microfluidic platforms built for high-resistance fluids, these tools generate reliable data even in gel-like suspensions.

Calibration against certified benchmarks is mandatory to maintain measurement fidelity.

It is also critical to account for the influence of temperature, as many high-viscosity fluids exhibit strong thermal sensitivity.

All tests must occur in temperature-stabilized environments, with algorithms adjusting for thermal drift or dimensional changes.

Interpretation should account for heterogeneous size distributions and non-uniform shapes, frequently found in industrial suspensions.

Advanced algorithms that analyze size and shape simultaneously improve the reliability of results.

Sampling must be conducted at several locations to avoid bias, since dense fluids may settle or form layers when undisturbed.

For 動的画像解析 industries including pharma, edible products, and high-performance ceramics, particle size accuracy governs efficacy, homogeneity, and manufacturing success.

Choosing the correct approach requires balancing rheology, particle sensitivity, and functional requirements.

A combination of techniques, validated through cross-correlation and repeated trials, often yields the most robust results.

Ultimately, successful evaluation requires a thorough understanding of both the physical behavior of the fluid and the limitations of the analytical tools being used.