Process maps
LithiumHydrometallurgy

Lithium Processing Intelligence

Predict impurity control and recovery to battery-grade qualification.

Process overview

Lithium processing converts brine or hard-rock feedstock into battery-grade lithium carbonate or hydroxide. Impurity control and recovery through precipitation, ion exchange, and crystallization govern whether product meets battery-grade specification.

Why prediction matters

Battery-grade qualification is unforgiving on impurities, and feedstock varies widely between sources. Prediction ties feed variability and process conditions to impurity risk and final recovery.

Key variables

Feedstock variables

  • Brine / hard-rock source
  • Feed grade
  • Impurity profile (Mg, Ca, B, Na)
  • Feed variability

Process variables

  • Reagent dosing
  • pH control
  • Ion-exchange loading
  • Crystallization conditions
  • Temperature

Output variables

  • Lithium recovery
  • Product impurities
  • Battery-grade qualification
  • Yield

Common transformation risks

Impurity breakthroughRecovery lossOff-spec battery gradeFeedstock variability

AI opportunities

  • Impurity prediction
  • Recovery prediction
  • Qualification classification

Community discussions

  • k.

    k.almeida

    Process data scientist · 5d

    Question

    Which of these variables tends to carry the most predictive signal in practice? Curious where to focus feature work first.

    12
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