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  • Cutaway illustration of a powder-transfer connection showing a visibly clean exposed steel bore, one powder pocket in a recessed gasket groove with an open route to the bore, and a separate magnified inset of sparse particles attached to exposed steel.
    31 October 2026

    Why Powder Lines Still Cause Cross-Contamination After Cleaning

    When a clean-looking powder line still produces contaminated product, compare sample location with when the contaminant appears, then investigate suspected reservoirs with recovery-tested surface or rinse sampling.

    Insights

  • Cutaway of a rotary airlock showing partially filled powder pockets, returning gas near the inlet, and discharge into a pneumatic conveying line.
    24 October 2026

    Rotary Valve Failure Modes: How Powder Properties Drive Leakage, Wear, and Jamming

    When a rotary airlock valve leaks, wears, or jams, the cause usually lies in the powder rather than the equipment. This insight maps cohesion, abrasiveness, bulk density, and particle size distribution to distinct failure patterns and explains what each pattern tells you about the powder state.

    Insights

  • Technical illustration of a funnel-flow silo showing localized contamination zones missed by a powder sampling probe.
    17 October 2026

    Why Can a Powder Lot Pass Sampling and Still Be Contaminated?

    September 2026's moringa leaf powder recall, set against a year of Salmonella events touching powdered milk and supergreens blends, shows why bulk powder sampling plans can miss low-prevalence contamination and why low water activity slows but does not eliminate pathogen survival.

    Insights

  • Diagram comparing Hausner ratio, shear cell, and dynamic flow energy methods used in PBF powder flowability testing
    10 October 2026

    PBF Powder Flowability Testing: Why Different Methods Disagree and What the Results Mean

    Hausner ratio, shear cell, and dynamic flow energy results on the same PBF powder lot rarely agree exactly. That disagreement is a decision input, not proof that a method or lab got it wrong.

    Insights

  • DEM comparison of powder flow in two hopper geometries, showing smooth discharge and arching
    3 October 2026

    DEM Calibration: Why a Model That Reproduces One Bulk Test Can Still Fail in a Different Hopper Geometry

    DEM input parameters are fitted to match a bulk observable, not derived from first principles. A parameter set calibrated against an angle of repose test constrains one point in a multi-dimensional parameter space. When the hopper geometry changes, the stress state changes, and unconstrained parameters become the dominant source of prediction error.

    Insights

  • Diagram showing particle back-flow in pneumatic conveying at a low-drag duct corner
    26 September 2026

    Triboelectric Particle Back-Flow in Pneumatic Conveying: Why Charged Particles Migrate Upstream at Duct Corners

    CFD-DEM simulations show triboelectrically charged particles can reverse direction in low-drag duct corner zones during pneumatic conveying, with the delay between feed pulses driving the effect more than pulse length.

    Insights

  • LED-based particle image velocimetry velocity field mapping powder flow inside a blender
    19 September 2026

    Real-Time Powder Flow Imaging: What LED-Based Particle Image Velocimetry Adds Beyond Static Flowability Tests

    LED-based particle image velocimetry (PIV) images the velocity field inside a moving powder bed during blending, adding spatial resolution that static angle of repose, Hausner ratio, and shear cell tests cannot provide. Here is what that resolution can and cannot support for a process decision.

    Insights

  • Diagram illustrating laser cladding feed rate consistency through powder stream divergence and catchment efficiency at the melt pool
    12 September 2026

    Powder-Fed Laser Cladding: Why Stable Feed Rate Does Not Guarantee Stable Deposition

    In powder-fed laser cladding, a stable feeder setpoint and an in-spec particle size distribution do not guarantee a stable deposit. Catchment efficiency and stream divergence sit between the feeder and the melt pool, and both can drift independently of the powder's PSD.

    Insights

  • Power consumption curve rising and plateauing during high-shear wet granulation endpoint detection as granules consolidate
    5 September 2026

    High-Shear Wet Granulation Endpoint Detection: What Power Consumption Signals Actually Tell You

    The power or torque trace in high-shear wet granulation rises and plateaus as granules consolidate, but the signal is a supporting process indicator, not a direct particle size measurement, and its interpretation is bounded by batch size, impeller geometry, and formulation.

    Insights

  • Machine learning flowability prediction workflow showing particle property inputs feeding a classifier next to a shear cell confirmation test
    29 August 2026

    Machine Learning Flowability Prediction: What Constituent-Property Models Can and Can’t Replace

    A Pharmaceutical Research study trained Random Forest and XGBoost classifiers on particle size, shape, surface energy, and silica dry-coating data to predict powder blend flowability category. The accuracy holds up as a screening tool and breaks down in specific, predictable places.

    Insights

  • Diagram comparing laser diffraction equivalent-sphere sizing with dynamic image analysis shape descriptors for an elongated particle
    22 August 2026

    When Laser Diffraction and Dynamic Image Analysis Are Run Together: What Combined PSD-Shape Workflows Add to Interpretation

    Pairing laser diffraction with dynamic image analysis adds per-particle shape descriptors, aspect ratio, circularity, convexity, that help explain an anomalous D50 or D90 and show where the combined result still cannot replace a dedicated particle morphology study.

    Insights

  • X-ray micro-CT pore network diagram showing open and closed porosity in a powder particle compared to gas pycnometry and BET surface area
    15 August 2026

    X-ray Micro-CT for Powder Pore Networks: What It Adds Beyond Gas Pycnometry and BET Surface Area

    Gas pycnometry and BET surface area each report a single number. X-ray micro-CT builds a three-dimensional map of the pore network, showing connectivity, tortuosity, and closed porosity that single-value tests cannot resolve, within real resolution and sample-size limits.

    Insights