Economics of machining: optimum speed for cost and production

Time and cost per piece, Gilbert's minimum-cost and maximum-production tool lives and speeds, and the high-efficiency range.

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Why it matters

Running a tool faster cuts the machining time but wears the tool out sooner, so tool changes and tool cost rise. Somewhere between "too slow" and "too fast" there is a speed that gives the lowest cost per part, and a (higher) speed that gives the most parts per hour. Production planners use these two speeds to set cutting data for every job.

Key ideas

Time per piece has three parts:

  • Machining (cutting) time tm — falls as speed rises.
  • Non-productive (handling) time th — loading, unloading, approach; independent of speed.
  • Tool-change time per piece — tc × (tm/T), because one tool change is needed every T minutes of cutting. It rises steeply with speed because T falls.

Cost per piece = machine-and-operator cost on all that time + tool cost per piece:

  • Cm = cost rate of machine + labour + overheads (₹/min).
  • Ct = cost of one tool cutting edge (insert edge cost, or regrind cost plus a share of the tool price), ₹ per tool life.

Minimum-cost criterion (Gilbert). Writing tm ∝ 1/V and T = (C/V)^(1/n), and setting d(cost)/dV = 0, gives the optimum tool life To and speed Vo. The machining-cost term falls with speed while the tool-cost and tool-change terms rise; Vo balances them.

Maximum-production-rate criterion. Minimising the time per piece gives Tp and Vp. Since only the tool-change time (not tool cost) penalises speed here, Tp < To and so Vp > Vo always.

High-efficiency (Hi-E) range. The speed band between Vo and Vp. Maximum-profit speed lies inside it. Below Vo both cost and time are worse; above Vp both are worse.

Practical points

  • Disposable carbide inserts have low Ct and short tc, so To is short and Vo is high — that is why indexable tooling runs fast.
  • Expensive tools (form tools, broaches, gear hobs) with long change times call for low speeds and long tool lives.
  • If the machine is a bottleneck, run nearer Vp; if it has spare capacity, run nearer Vo.
  • Feed and depth are normally fixed first at the highest values the machine, part and finish allow; speed is then optimised, because tool life is least sensitive to feed and depth.

Formulas

  • tm = π·D·L / (1000·V·f) (turning; tm in min, D and L in mm, V in m/min, f in mm/rev)
  • T = (C / V)^(1/n) (Taylor)
  • Cost per piece = Cm·th + Cm·tm + (Cm·tc + Ct)·(tm / T)
  • Time per piece = th + tm + tc·(tm / T)
  • To = (1/n − 1)·(tc + Ct/Cm), Vo = C / To^n (minimum cost)
  • Tp = (1/n − 1)·tc, Vp = C / Tp^n (maximum production rate)
    • Cm = machine + labour + overhead rate (₹/min); Ct = tool cost per cutting edge (₹); tc = tool-change time (min); th = handling time per piece (min); n, C = Taylor constants (C in m/min with T in min).
  • At the minimum-cost speed: (tool cost + tool-change cost per piece) / (machining cost per piece) = n / (1 − n).

Worked examples

Example 1 (standard). Taylor constants n = 0.25, C = 300 m/min. Machine + labour + overheads Cm = ₹10/min, tool-change time tc = 2 min, cost per cutting edge Ct = ₹60. Find the minimum-cost and the maximum-production tool lives and speeds.

  1. To = (1/n − 1)·(tc + Ct/Cm) = (4 − 1) × (2 + 60/10) = 3 × 8 = 24 min.
  2. Vo = C / To^n = 300 / 24^0.25 = 300 / 2.2134 = 135.5 m/min.
  3. Tp = (1/n − 1)·tc = 3 × 2 = 6 min.
  4. Vp = C / Tp^n = 300 / 6^0.25 = 300 / 1.5651 = 191.7 m/min.
  5. Hi-E range: 135.5 to 191.7 m/min.

Example 2 (GATE level). With the data of Example 1, a bar of diameter D = 100 mm is turned over L = 300 mm at f = 0.25 mm/rev; handling time th = 1 min per piece. Find the cost and time per piece at Vo and at Vp. At Vo = 135.5 m/min:

  1. tm = π·D·L / (1000·V·f) = π × 100 × 300 / (1000 × 135.5 × 0.25) = 94 248 / 33 885 = 2.781 min.
  2. Tool-related cost per piece = (Cm·tc + Ct)·(tm/T) = (20 + 60) × 2.781/24 = ₹9.27.
  3. Cost = 10 × 1 + 10 × 2.781 + 9.27 = ₹47.08.
  4. Time = 1 + 2.781 + 2 × 2.781/24 = 4.01 min. At Vp = 191.7 m/min:
  5. tm = 94 248 / (1000 × 191.7 × 0.25) = 1.967 min; T = 6 min.
  6. Cost = 10 + 19.67 + 80 × 1.967/6 = 10 + 19.67 + 26.22 = ₹55.89.
  7. Time = 1 + 1.967 + 2 × 1.967/6 = 3.62 min. Running at Vp saves about 10 % of the time per piece but costs about 19 % more per piece. Check of the ratio rule at Vo: tool-related ₹9.27 / machining ₹27.81 = 0.333 = n/(1 − n) = 0.25/0.75. ✓

Common mistakes

  • Using Ct/T directly as "tool cost per piece" — it must be multiplied by tm (the fraction of a tool life used per piece).
  • Forgetting the operator's cost during the tool change (Cm·tc).
  • Putting Ct in the maximum-production formula; tool cost does not affect production rate.
  • Concluding Vp < Vo — it is always the other way round.
  • Mixing units in Ct/Cm: Ct in ₹ and Cm in ₹/min give minutes, as they must.
  • Raising T to n when you need V = C/Tⁿ (and vice versa).

For GATE PI

  • NAT: optimum tool life and speed for minimum cost or maximum production, given n, C, Cm, Ct and tc.
  • Cost per piece and time per piece at a given speed, combining Taylor's law with machining time.
  • Comparing two tools (e.g. HSS vs carbide) on cost per piece.
  • MCQs on the Hi-E range and why Vp > Vo.

Quick check

  1. n = 0.2, tc = 1 min. Tool life for maximum production?
  2. n = 0.25, tc = 2 min, Ct = ₹40, Cm = ₹8/min. Tool life for minimum cost?
  3. Which is higher, the minimum-cost speed or the maximum-production speed?
  4. Does handling time affect the optimum speed?
  5. C = 400 m/min, n = 0.25, To = 16 min. Optimum speed?

Answers: 1. Tp = 4 × 1 = 4 min. 2. To = 3 × (2 + 5) = 21 min. 3. The maximum-production speed. 4. No — it adds the same time and cost at every speed. 5. 400/16^0.25 = 400/2 = 200 m/min.

Try answering each one aloud before you open it.

  1. 1.What is the definition of optimum cutting speed in machining?Concept

    Optimum cutting speed is the speed at which the machining process is most efficient in terms of cost and production rate. It balances the tool life, material removal rate, and machining cost to achieve the lowest possible cost per part while maintaining acceptable quality.

  2. 2.Explain the factors that influence the selection of cutting speed in machining.Concept

    The selection of cutting speed is influenced by several factors including the material of the workpiece, the material and geometry of the cutting tool, the type of machining operation, the desired surface finish, and the machine tool capabilities. Additionally, economic considerations such as tool cost, labor cost, and production volume also play a significant role.

  3. 3.Why is it important to determine the optimum cutting speed in a machining operation?Application

    Determining the optimum cutting speed is crucial because it helps minimize the total cost of machining by balancing tool wear and production rate. It ensures that the machining process is both cost-effective and efficient, leading to higher productivity and profitability while maintaining the desired quality of the finished product.

  4. 4.What happens if the cutting speed is set too high in a machining operation?Application

    If the cutting speed is set too high, it can lead to excessive tool wear and a shorter tool life, increasing the frequency of tool changes and downtime. This can result in higher tool costs and reduced productivity. Additionally, it may cause poor surface finish and dimensional inaccuracies in the machined part.

  5. 5.How does the tool life equation relate to the economics of machining?Concept

    The tool life equation, often expressed as VT^n = C (where V is cutting speed, T is tool life, n is a constant, and C is a constant for a given tool-workpiece combination), helps in determining the relationship between cutting speed and tool life. By understanding this relationship, manufacturers can optimize cutting speed to minimize costs associated with tool wear and maximize production efficiency.

  6. 6.For a tool with Taylor constants C = 300 m/min and n = 0.25, what cutting speed gives a tool life of 60 minutes?Numerical

    From V·Tⁿ = C, V = C/Tⁿ = 300/60^0.25. 60^0.25 = 2.783, so V ≈ 107.8 m/min. Note this is simply the speed for a chosen life; the economic optimum speed comes from To = (1/n − 1)(tc + Ct/Cm).

  7. 7.A machining operation has a tool life of 90 minutes at a cutting speed of 100 m/min. If the cutting speed is increased to 120 m/min, estimate the new tool life using Taylor's equation with n = 0.3.Numerical

    From V·Tⁿ = C, T₂ = T₁·(V₁/V₂)^(1/n) = 90 × (100/120)^(1/0.3) = 90 × 0.8333^3.333 = 90 × 0.5446 ≈ 49 min. A 20 % increase in speed has cut tool life by about 46 %.

  8. 8.Discuss the trade-offs involved in selecting a cutting speed for a new machining process.Application

    Selecting a cutting speed involves trade-offs between tool life, production rate, and machining cost. A higher speed increases production rate but reduces tool life, leading to higher tool costs. A lower speed extends tool life but reduces production rate, potentially increasing labor costs. The goal is to find a balance that minimizes total cost while meeting production and quality requirements.

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