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Maintenance & Reliability

Predicting Crusher Liner Life from the Abrasion Index

Turn Bond's abrasion index into a liner-replacement forecast, then find the cost-optimal interval with a simple wear-and-cost model and two worked examples.

Sivabalan Selvarajan Jun 11, 2026 5 min read 1 views

Manganese liners are among the three largest consumable costs in any crushing plant, and they are too often changed on a calendar hunch. Pull them early and you scrap good metal; run them too long and a worn-through profile loses product shape, wastes energy, and can damage the crusher frame. Tie wear to the rock’s abrasion index and you can forecast replacement by tonnage — and even find the cost-optimal interval, not just the mechanical one.

The abrasion index, briefly

Bond’s Abrasion Index formula is a laboratory measure of how aggressively a rock removes metal. The higher formula, the faster the liner loses thickness per tonne:

Rock typeTypical Bond AiRelative wear
Limestone / dolomite0.02 – 0.20low
Granite / basalt0.30 – 0.50medium
Quartzite / high-silica0.60 – 0.90high
Taconite / ferro-silicate0.80 +severe

A simple, calibratable wear model

Over the working life of a liner, depth loss is close enough to linear with throughput to plan around. Define a wear rate formula in millimetres of liner per 1000 tonnes, proportional to abrasion index:

equation
SymbolMeaningUnits
formulaWear ratemm per 1000 t
formulaLiner life (throughput to wear-out)tonnes
formulaUsable liner depth before replacementmm
formulaSite constant (calibrate from your own records)mm·1000tformula
formulaBond abrasion index of the feed
Calibrate, don’t copy. The constant formula folds in your crusher type, setting, speed and liner alloy. Back it out from two past liner changes (depth lost ÷ tonnes run), then the model predicts the next one to within a few percent for most of the life.

Worked example 1 — life in tonnes

A secondary cone crushing granite (formula) has a usable liner depth of formula. Plant records show the last set lost its 55 mm over 324,000 t, so the observed wear rate is

equation

That fixes the life directly: formula. Running at 250 t/h for 4,000 operating hours a year (1.0 Mt/yr), one liner set lasts about 0.32 years — roughly 16 weeks. Maintenance can now book the change against a tonnage counter, order manganese on lead time, and stop guessing.

Cumulative liner wear against throughput for low, medium and high abrasion index
Figure 1. Cumulative wear is near-linear with tonnage; each line meets the usable-depth limit at a different throughput, setting the replacement point.

Life across abrasion classes

For the same 55 mm usable depth, the rock you feed swings liner life by more than 3×:

Feed (typical Ai)Wear rate w (mm/1000 t)Liner life LWeeks at 1.0 Mt/yr
Limestone (0.10)0.085647,000 t~34 weeks
Granite (0.40)0.17324,000 t~16 weeks
Quartzite (0.70)0.30183,000 t~9 weeks

Worked example 2 — the cost-optimal interval

Mechanical wear-out is not always the cheapest moment to change. Two costs pull in opposite directions. The amortised liner cost per tonne falls the longer you run (you spread one set over more tonnes). But as the profile wears past about three-quarters of its depth, the crusher loses product shape and energy efficiency, and the risk of a damaging breakthrough rises — an inefficiency-and-risk cost that climbs steeply near the end. Their sum is U-shaped:

Total cost per tonne against replacement interval, showing a minimum just before mechanical wear-out
Figure 2. Amortisation (grey) falls with interval; inefficiency and risk (teal) rise near end-of-life. Total cost (navy) is minimised a little before full mechanical wear-out (illustrative figures).

For this granite duty the minimum total cost lands near 300,000 t — about 1,200 operating hours, or roughly 14–15 weeks — rather than stretching the last millimetres to 324,000 t. Changing a touch early trades a small amount of unused metal for a larger saving in crushing efficiency and avoided risk. The exact optimum depends on your liner price, downtime cost and how fast efficiency decays — but the shape is universal: there is a sweet spot, and it is usually just shy of wear-out, never far past it.

Condition monitoring that feeds the model

  • Profile gauge or 3D scan at every shutdown. Turns the model from a forecast into a measured trend and catches uneven wear early.
  • Power and product trends. A creeping specific energy (kWh/t) or a coarsening product at constant setting is the efficiency decay in Figure 2 showing up before you open the machine.
  • Measure the worst point, not the average. Liners wear fastest at the choke zone; life is set by where the metal runs out first.

Common mistakes

  • Calendar-based changes. Tonnage, not weeks, drives wear; a slow month and a flat-out month are not the same liner life.
  • Forgetting the quarry moved. A new bench or blast can shift formula; re-check it when the geology changes.
  • Running past the knee. The linear model under-predicts wear at end-of-life; plan the change before the curve steepens.
  • Not re-fitting formula after an alloy or setting change.

Frequently asked questions

Where do I get the abrasion index?

Either a Bond abrasion test on a representative sample, or published values for your rock type as a first estimate. Calibrating formula from your own liner history matters more than a perfect formula.

Do liners wear evenly across the chamber?

No. Wear concentrates at the choke zone and lower mantle; the model should track the fastest-wearing point, since that is what ends the liner’s life.

Is a harder alloy always better?

Not always. Work-hardening manganese suits high-impact duties; harder chrome-irons resist abrasion but can crack under impact. Match the alloy to the dominant wear mode, then re-fit formula.

Key takeaways

  • Liner life scales inversely with abrasion index: formula.
  • Calibrate the site constant formula from your own liner-change history.
  • Feed rock alone can swing liner life 3× or more; plan stock and labour around formula.
  • The cheapest interval is usually just before mechanical wear-out, where total cost per tonne is minimised.
  • Forecast by tonnage, verify by profile and power trends, and change before the end-of-life knee.

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