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Related Experiment Video

Updated: May 31, 2026

Quantifying Mixing using Magnetic Resonance Imaging

Quantifying Mixing using Magnetic Resonance Imaging

Published on: January 25, 2012

Understanding and Optimizing the SMX Static Mixer.

Mrityunjay K Singh¹, Patrick D Anderson, Han E H Meijer

¹Materials Technology, Eindhoven University of Technology, P.O. Box 513, 5600 MB Eindhoven, The Netherlands.

Macromolecular Rapid Communications

|June 28, 2011

Summary

Optimizing SMX motionless mixers reveals that 6 cross-bars offer the best energy efficiency and compactness. A universal design rule, N(p) = (2/3)N(x) - 1, ensures optimal interfacial stretching for SMX mixers.

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Area of Science:

Fluid Dynamics
Chemical Engineering
Process Intensification

Background:

Static mixers, specifically SMX (Static Mixer X) designs, are crucial for efficient fluid mixing in various industrial processes.
Optimizing mixer geometry is essential for enhancing energy efficiency and process performance.

Purpose of the Study:

To analyze and optimize different designs of SMX motionless mixers using the Mapping Method.
To identify optimal design parameters for improved mixing efficiency, energy consumption, and compactness.

Main Methods:

The Mapping Method was employed to analyze SMX motionless mixer designs.
Three key design parameters were investigated: N(x) (number of cross-bars over channel width), N(p) (number of parallel cross-bars per element), and θ (angle between opposite cross-bars).

Main Results:

Optimization of N(x) indicated that N(x)=6 is optimal for standard designs (N(p)=3), balancing energy efficiency and compactness.
Deviations from N(x)=6 led to suboptimal interfacial stretching (under- or over-stretching).
Increasing N(p) enhances interfacial stretching effectiveness through vortex cooperation.

Conclusions:

The study established a universal design rule for optimal SMX mixer performance: N(p) = (2/3)N(x) - 1.
This rule applies across various SMX designs, including N(x) = 3, 6, 9, 12, etc., ensuring efficient mixing and process optimization.