Wood Powder Feeding Problems: Separating Moisture Effects From Particle Interlocking

Wood powder can bridge because fibrous particles mechanically [...]

Micronization by Jet Milling: How Classification, Milling Intensity, and Time Change Surface Properties

Jet milling micronization reduces particle size through particle-particle impact controlled by classifier wheel speed and feed rate. Pushing the cut point lower can raise amorphous surface content and hygroscopicity in ways a passing PSD result will not reveal. This guide covers the mechanism and the tests that actually diagnose a changed lot.

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.

Fertilizer Powder and Granule Handling: Segregation, Caking, and Dust Control

Bulk-blended fertilizer fails in three recurring ways: segregation between straight materials of different size and density, hygroscopic caking in urea and ammonium nitrate under humidity cycling, and dust release during bagging. Each failure mode maps to a specific diagnostic test rather than a single generic powder check.

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.

Vacuum Conveying for Fine and Hazardous Powders: Containment, Velocity, and Filter Design

Vacuum conveying contains by default: any breach draws air inward rather than pushing powder out. That containment advantage comes with a fixed pressure budget, and filter design competes directly with conveying velocity for every millibar of available driving force.

Co-Processed Excipients in Continuous Manufacturing: How Particle Engineering Changes Powder Flow and Compaction Performance

Co-processing engineers particle morphology, density, and surface structure into a single composite excipient particle. Flow function and compactibility testing show what that buys formulators on continuous direct compression lines, and where it does not.

Jenike Shear Cell vs Ring Shear Tester: Matching the Method to the Hopper or Silo Decision

Jenike shear cells and ring shear testers measure the same yield locus through different mechanics. Here is how their sample, stress range, and time differences map onto the mass-flow versus funnel-flow hopper design decision, plus a checklist for choosing between them.

GRCop-42 and the Copper Powder Feedstock Problem in Laser Powder Bed Fusion

Copper reflects most near-infrared laser light and conducts absorbed heat away faster than almost any other engineering metal. GRCop-42's move into commercial powder catalogs shows how feedstock morphology, oxide content, and particle size distribution are being engineered around that problem rather than worked around it.

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.

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