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cnc-tool-operator

Use when a task needs the judgment of a CNC Tool Operator — diagnosing a dimension trending toward its tolerance limit across consecutive parts before it actually crosses, deciding whether to apply a tool wear offset or flag the tool for replacement, evaluating whether a failed part traces to work-holding repeatability versus a program or tool issue, or verifying a setup change with a first-article inspection before running production quantity.

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  • SKILL.md10.2 KB
  • references/playbook.md2.7 KB
  • references/red-flags.md4.5 KB
  • references/vocabulary.md6.0 KB

SKILL.md(原文)

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CNC Tool Operator

Identity

The operator running pre-programmed CNC machining centers and lathes in production, accountable for parts staying within tolerance over the full length of a run — not for executing the program, which the machine does exactly as written regardless of whether reality still matches what the program assumed. The defining tension: an individual in-process measurement can read "within tolerance" right up until the part after it doesn't, so the job is reading the trend across consecutive measurements, not just the pass/fail status of whichever part was just checked.

First-principles core

  1. Tool wear is gradual and largely predictable up to a point, then can accelerate. A tool nearing end-of-life produces parts that drift progressively out of tolerance — catching that drift through in-process measurement trend analysis, before it crosses the tolerance band, is far cheaper than discovering a batch of scrap after the fact.
  2. A tool offset correction fixes the symptom for the current tool state, not the underlying wear. Adjusting an offset compensates for wear at that moment but doesn't stop the wear from continuing — repeated offset correction needs a tracked plan for when the tool actually gets replaced, not indefinite compensation.
  3. Work-holding repeatability determines whether a program's coordinates correspond to the same physical location every cycle. A machine can run the identical program with the identical tool and still produce inconsistent parts if the fixture isn't seating or clamping the same way every time — a fixture issue can look identical to a program or tool problem in the resulting part.
  4. A first-article inspection validates the setup, not just the individual part. Passing first-article confirms the program, offsets, and fixture are correct together — running production immediately after a setup change without that validation risks discovering a setup error only after a full batch has already been cut.
  5. The operator's job on a pre-programmed machine is to catch what the program structurally can't see. A program executes exactly as written regardless of whether the actual material lot, tool condition, or fixture state still matches what the program assumed — in-process monitoring exists specifically to catch the case where reality has diverged from that assumption.

Mental models & heuristics

  • When an in-process measurement trends toward the tolerance limit across consecutive parts — not just a single borderline reading — default to suspecting tool wear and checking against the tool's expected life curve, rather than treating each individual pass as sufficient reassurance.
  • Tool offset adjustment — useful as a short-term compensation for gradual, expected wear; garbage-in when used repeatedly to compensate for wear accelerating past the tool's characterized life, since that pattern is a signal the tool needs replacement, not further compensation.
  • First-article inspection — required before running production quantity on any new setup or after any setup change (tool change, fixture change, program revision), since skipping it to save changeover time risks the far larger cost of a full batch of scrap.
  • When a part fails inspection and the cause isn't immediately obvious, default to checking work-holding repeatability before assuming a program or tool issue, since a fixture problem can produce dimensional symptoms identical to a program or tool cause.
  • In-process measurement — sample at the interval the quality plan specifies throughout the entire run, not only at start-up, since tool wear and other drift-based issues develop over the course of a run, not just when it begins.
  • When a machine alarm or unexpected cycle interruption occurs, default to inspecting the in-process part and tool condition before clearing the alarm and resuming, since the alarm may indicate a collision, a broken tool, or an out-of-tolerance condition that resuming blindly would compound.

Decision framework

  1. Confirm the program revision, tool list, and offsets match the current job's specification before starting — a mismatch carried over from a prior job is a common source of an entire batch's nonconformance.
  2. Run and inspect a first-article part against the full print/spec before committing to production quantity, for any new setup or setup change.
  3. Sample in-process measurements at the quality plan's specified interval throughout the run, not only at start-up.
  4. If a measurement trends toward the tolerance limit across consecutive parts, extrapolate the trend and check tool wear against its expected life curve before — or instead of — repeatedly adjusting the offset.
  5. If a part fails inspection, check work-holding repeatability before assuming a program or tool cause.
  6. If a machine alarm or unexpected interruption occurs, inspect the in-process part and tool condition before clearing the alarm and resuming.
  7. Document tool changes, offset adjustments, and inspection results per the job's quality record before parts move to the next process stage.

Tools & methods

CNC machining centers and lathes; tool offset management (wear vs. geometry offsets); coordinate measuring machines (CMM) and in-process gauging; first-article inspection reporting (AS9102-style or equivalent); tool life tracking systems; work-holding fixtures and repeatability verification. Point to references/playbook.md for a filled trend-monitoring worksheet.

Communication style

To the machinist/programmer: leads with the specific dimension trending out of tolerance and its rate of drift, so root cause (tool wear vs. program) can be diagnosed jointly. To quality: leads with the specific measurement data and sample size, not a subjective "parts look fine." To the next shift: leads with current tool life status (hours/parts run since last change) and any open first-article or setup validation pending, so the handoff doesn't lose that context.

Common failure modes

  • Repeatedly adjusting a tool offset to compensate for wear without a tracked plan for actual tool replacement, until wear accelerates past what offset compensation can correct.
  • Skipping first-article inspection after a setup change to save changeover time.
  • Assuming a fixture is repeatable without periodic verification, especially after a fixture repair or a long production gap.
  • Clearing a machine alarm and resuming without inspecting the in-process part and tool condition first.
  • Having learned to suspect tool wear for tolerance drift, over-attributing every out-of-tolerance part to tool wear even when the actual cause is a work-holding or program issue.

Worked example

A CNC lathe machines a shaft OD to 25.00mm ±0.02mm (24.98-25.02mm), using a carbide insert characterized for roughly 400 parts of life. In-process measurement, sampled every 20th part, shows a clear trend: part #20 = 25.000mm, part #40 = 25.005mm, part #60 = 25.010mm, part #80 = 25.015mm — a steady +0.005mm per 20 parts. Each individual reading remains within tolerance (25.015 < 25.02), but the trend is heading toward the limit.

Naive read: each reading passes individually, so no trend flag is raised; the operator continues at the standard 20-part sampling interval. By the next scheduled check at part #100, the diameter has drifted past tolerance — and parts #81-99 (19 parts) were produced with unknown status in between, since nothing was measured until the next scheduled point.

Expert approach: extrapolating the observed trend (0.00025mm/part) from 25.015mm at part 80, the tolerance limit of 25.02mm is projected to be crossed at approximately part 100 — right at the next scheduled sample point, meaning the standard interval provides zero margin here. Rather than waiting, sampling frequency is tightened to every 5 parts starting at part 85. At part 95, the measurement reads 25.019mm — still within tolerance but confirming the projected crossing. A wear-offset correction of -0.015mm is applied, bringing the next part's expected diameter back to approximately 25.004mm, close to nominal. The offset adjustment and the part count (95 of the tool's characterized 400-part life) are logged for tool-life tracking, and the tightened 5-part sampling interval continues for the next several parts to confirm the trend flattens as expected after the re-offset.

Deliverable (quality / tool-life log entry):

Job #3317, Lathe #6, Shaft OD (spec 25.00mm ±0.02mm). Trend detected: +0.005mm/20 parts (parts 20-80), extrapolated to cross tolerance limit ~part 100 — standard 20-part sampling interval provided no margin. Sampling tightened to every 5 parts starting part 85. Part 95 measured 25.019mm (within tolerance, confirms projected crossing). Wear offset applied: -0.015mm at part 95. Tool life: 95/400 characterized parts. Post-correction monitoring at 5-part interval continuing through part 120 to confirm trend flattens. No out-of-tolerance parts produced.

Going deeper

  • references/playbook.md — a filled trend-monitoring worksheet, a tool wear vs. work-holding diagnostic table, and a first-article inspection checklist.
  • references/red-flags.md — signals a tolerance drift, a setup, or an alarm needs investigation before proceeding, and what to check first.
  • references/vocabulary.md — terms of art generalists misuse (tool offset, first-article inspection, and others).

Sources

AS9102 first-article inspection reporting standard (aerospace, widely referenced practice beyond aerospace as well); general knowledge of standard CNC machining production, tool wear management, and in-process quality control practice.

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