Taylor Tool Life Calculator
Tool life at a cutting speed from Taylor’s equation — and the speed that gives a target life — with how sharply life changes when speed moves.
Taylor found that cutting speed and tool life trade off as V × Tⁿ = C: C is the speed that gives one minute of life, n is the material-and-tool exponent — about 0.
How the taylor tool life calculator works
Taylor found that cutting speed and tool life trade off as V × Tⁿ = C: C is the speed that gives one minute of life, n is the material-and-tool exponent — about 0.1 for high-speed steel, 0.25 for carbide, 0.4 for ceramic. Because n is small, a modest speed increase costs a lot of tool life: with carbide, 20% more speed roughly halves the life. Values of C and n come from tool-maker data or your own tests.
Formula: V Tⁿ = C; T = (C ÷ V)^(1/n); V = C ÷ Tⁿ
Worked examples
| Inputs | Tool life at that speed | Note |
|---|---|---|
| C 400, n 0.25 at 150 m/min | 50.57 minutes | 50.6 minutes; 143 m/min for 60 min |
| HSS: C 60, n 0.1 at 30 m/min | 17.07 hours | 1,024 minutes |
| Ceramic: C 1,500, n 0.4 at 600 m/min | 9.88 minutes | 9.9 minutes |
FAQFrequently asked questions
Where do C and n come from?
From tool-life tests at two or more speeds: plot log V against log T and the slope is −n, the intercept gives C. Tool suppliers publish them for their grades against common materials; the defaults here are a mid-range carbide on steel.
Why does speed matter more than feed or depth?
Temperature at the cutting edge rises fastest with speed, and tool wear is thermally driven. The extended Taylor equation includes feed and depth with smaller exponents; speed remains the dominant term.
What tool life should I aim for?
Long enough to change tools at a convenient point — a shift, a batch — but not so long that the machine runs slowly. The economic tool life balances tool cost and change time against machine time; 30–60 minutes is common for roughing.
Does coolant change the numbers?
Yes — it raises C by cooling the edge. Use constants measured under your conditions; dry and flood values for the same insert can differ by 30%.
Where these figures come from
- Nakajima (1988) — Introduction to TPM — the origin of Overall Equipment Effectiveness and its six big losses
- OSHA — the US workplace safety administration
Last checked: September 2026. Definitions follow standard operations-management practice; where plants commonly differ, the page says so.