Slurry and powder process engineering

Know how your slurry will behave — before it reaches the line.

Rheology-based engineering for formulation, coating, forming and scale-up — applied to battery electrodes, ceramics and coatings, and MOF and porous materials.

viscosity shear rate agglomerated dispersed residual

01

Formulate

Powder, binder, solvent, additives.

02

Measure

Flow curves, yield stress, stability.

03 · core

Predict and diagnose

Read the gap between model and measurement.

04

Form and scale

Coat, cast, extrude, granulate.

Why rheology

Most forming defects start in the slurry.

Uneven coatings, cracked green bodies and weak pellets are usually traced back to dispersion, solids loading and flow behaviour — long before drying or firing. Measuring and predicting that behaviour is the cheapest point to fix a process.

Fine white powder on a dark surfaceThick white coating liquid stirred in a can
From powder to slurry · Illustrative stock photographs · Alex Saks / Unsplash · Anyzoy studio / Unsplash

Applications

One discipline, three material fields.

slot diewet film, magnifiedwet electrode filmcurrent-collector foilweb direction ● active● carbon~ binder

01 · ENERGY

Battery electrode slurries

  • Active material and conductive-additive dispersion
  • Solids loading vs coatability
  • Coating weight variation and drying defects
slurrydoctor bladeparticle packing, magnifiedwet tapedrying → green tapecarrier film ● particle○ dispersant layer

02 · CERAMICS

Ceramics and coatings

  • Tape and slip casting slurries
  • Coating thickness variation, wetting and surfactants
  • Green-body cracking and shrinkage
powder + binderpaste extrusiondieextrudatepelletsinside a pellet, magnified ▪ porous crystal● binder bridge

03 · POROUS MATERIALS

MOF and porous materials

  • Paste formulation for extrusion and granulation
  • Binders that keep surface area
  • Monolith and substrate coating

Technology

From formulation to a process that scales.

01 / FORMULATION

Formulation and dispersion

Particle size, solids loading, binder and dispersant selection, mixing sequence.

02 / MEASUREMENT

Rheology measurement

Flow curves, yield stress, thixotropy and stability — chosen to match the process step.

03 / PREDICTION · CORE

Prediction and diagnosis

Viscosity predicted from formulation data, compared with measurement — the residual points to the likely cause.

04 / FORMING

Forming and scale-up

Coating, casting, extrusion and granulation windows; drying and quality checks.

How diagnosis works

The gap between prediction and measurement is the clue.

When a slurry behaves differently from what its formulation predicts, the difference is rarely random. Its size and pattern help separate dispersion problems, raw-material variation and measurement issues — so the next test is the right one.

  1. 01 · INPUTFormulation dataSolids loading, particle size, binder and dispersant.
  2. 02 · MODELPredicted curveThe viscosity the formulation alone should give.
  3. 03 · YOUR DATAMeasured curveYour rheometer flow curve for the same slurry.
  4. 04 · RESULTResidual → likely causeDispersion, raw material or measurement — and the next test.
Dark viscous liquid flowing over a cylinder
Illustrative stock photograph · Spencer Liao / Unsplash

Insights

Production technology, read for process.

All insights →

A weekly watch on production technology across batteries, semiconductors, ceramics, catalysts, MOFs, chemicals and advanced materials, plus process-focused reviews of research and patents.

Opening soon

Bring one slurry question.

Fixed-scope reviews are being prepared. Join the launch list to hear first when bookings open.

Who is behind it

Twenty years in ceramic and chemical materials processing.

Professional Engineer (Ceramics) · International Professional Engineer (Chemical Engineering) · APEC Engineer. A production engineer specialising in scale-up, with multiple patents and technology transfers in chemical and materials processing.

About TheBulkLab →

How we work

Evidence first. No unsupported promises.

Observations are kept separate from hypotheses, the limits of the available data are stated, and every recommendation is a test for your team to validate before production.