Back to Case Studies
Oct 7, 20259 min read

Mongolia Lead-Zinc Ore: Crushing Strategy for Stable Flotation Feed

A route-selection guide for Mongolian lead-zinc projects where winter logistics and blend variability require a stable, low-surprise crushing front end.

Country: Mongolia (Dornogovi)

Ore: Lead-zinc sulfide ore

Goal: Hold flotation feed consistency through seasonal logistics stress

In Mongolian base-metal operations, feed consistency problems often begin at mine dispatch and end in flotation variability. The crushing front end must absorb that instability.

This guide compares three route options for 90-220 TPH lead-zinc projects with strong seasonal constraints.

30-second decision framework

Condition

Underground blend variability is high week to week

Use balanced route with strong screen recirculation control

Consistent top size protects grinding and flotation response.

Condition

Winter logistics create spares and maintenance uncertainty

Avoid unnecessary complexity in early architecture

Reliability under constrained maintenance windows has higher value than peak nameplate.

Condition

Recovery KPI is tied to tight feed envelope

Move to high-control route with staged reduction duties

Tighter envelope needs clearer role separation across crusher stages.

Inputs you must lock before model selection

  • Blend variability by stope and dispatch route.
  • Target feed envelope for grinding and flotation.
  • Winter maintenance and spare lead-time constraints.
  • Power supply stability by month.
  • Historical flotation response to feed-size drift.

Recommended process lines

Reliability-first route

Capacity: 90-140 TPH

Feed: Variable sulfide feed up to 500 mm

Target output: Stable feed for downstream grinding

Setup: PE Jaw -> PY Cone -> screen

Why this works

  • Simple and robust under constrained maintenance.
  • Low operator burden for smaller shifts.
  • Good baseline for early production stabilization.

Balanced flotation-feed route

Capacity: 130-180 TPH

Feed: Mixed lead-zinc sulfide blend

Target output: Reduced top-size variance

Setup: PE Jaw -> PY Cone -> controlled screen loop

Why this works

  • Better consistency for flotation preparation.
  • Handles blend changes with manageable complexity.
  • Common sweet spot for mid-size operations.

High-control recovery route

Capacity: 170-220 TPH

Feed: High-variability feed under strict recovery KPI

Target output: Tighter and repeatable flotation feed

Setup: PE Jaw -> dual PY Cone -> high-control screening

Why this works

  • Highest stability for recovery-focused plants.
  • Reduces upset frequency during blend transitions.
  • Suitable when recovery penalties are material.

Mongolia lead-zinc route comparison

MetricReliability-firstBalancedHigh-control
Best forStartup and logistics-heavy phasesSteady medium-scale operationRecovery-critical operation
Feed consistencyMediumHighHighest
Operational complexityLowMediumMedium-high
Main riskLimited upside under strict recovery targetNeeds tuning disciplineHigher governance requirement
Winter resilienceHighMedium-highMedium

Blend Discipline Matters More Than Extra Hardware

Plants that document blend class and corresponding settings usually outperform plants that rely on operator memory and frequent manual changes.

Before investing in new stage additions, make sure blend governance and shift handover standards are stable.

  • Define blend classes with clear setpoint windows.
  • Use one-page handover checklist every shift.
  • Track feed variance and flotation recovery in same report.
  • Escalate repeated manual overrides to engineering review.

Procurement Questions That Reduce Rework

Request capacity and feed-size stability data under at least two blend scenarios. Single-scenario claims are usually misleading.

Ask suppliers to provide winter maintenance assumptions and required spare strategy explicitly.

RFQ checklist before you contact suppliers

  • Defined blend scenarios for technical proposal basis.
  • Target top-size variance before grinding.
  • Seasonal maintenance and spare constraints.
  • Power-event response assumptions.
  • Commissioning test plan across blend classes.
  • Flotation-feed acceptance KPIs and tolerance.

Need a model recommendation for your project?

Share your feed size, target products, and throughput range. Our engineering team can propose a practical equipment list and sizing baseline.