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JLY Precision Technology

CNC 加工不良:診断と予防ガイド (2026)

CNC 不良トップ 10、根本原因、決定木トラブルシューティング、3 層予防システム (設計 / 材料 / プロセス) — 実際の加工現場データから構築。

13 min read
Quality inspection of CNC machined parts under microscope and CMM verification

70-80% の CNC 加工不良は設計段階で予防可能 — しかし大半の品質記事は発生後の修正に焦点を当てます。本ガイドは逆転:設計、材料、プロセス層にわたる構造化された予防システム。

The 10 most common CNC defects

Based on production data from JLYPT’s last 12 months, these 10 defects account for over 90% of all non-conformance reports:

RankDefectFrequencySeverityPrimary cause
1Dimensional inaccuracy~28%MediumTool wear, thermal expansion, programming errors
2Poor surface finish (Ra too high)~18%Low–MedWrong feed/speed, dull tools, vibration
3Burrs on edges and threads~14%LowTool exit conditions, deburring inadequate
4Chatter marks~9%MediumTool overhang, harmonic vibration, machine rigidity
5Warping after machining~7%HighResidual stress, asymmetric material removal
6Tool marks / poor blending~6%CosmeticTool wear, programming step-over
7Undersized / oversized holes~5%MediumDrill walking, incorrect tool offset
8Damaged threads~4%HighWrong tap drill, broken tap, work hardening
9Surface scratches from handling~4%CosmeticInadequate fixturing, packaging, transport
10Material defects (porosity, inclusions)~3%HighBad material lot — outside the shop’s control
Quality inspection station with calipers, micrometers and CMM probe
A QC station catches most issues before parts ship — but design-stage prevention catches them before they happen.

Root-cause decision tree

When a defect appears, work through this decision tree before randomly changing parameters. Most defects have 2–3 plausible root causes; eliminating each in order saves time:

  1. Is it dimensional or cosmetic?

    Dimensional → check tool offsets, work coordinates, thermal state. Cosmetic → check tool wear, feeds, coolant.

  2. Did it appear suddenly or gradually?

    Sudden = tool break, programming change, fixture shift. Gradual = tool wear, thermal drift, parameter drift.

  3. On every part or random?

    Every part = systematic (programming, fixturing, machine). Random = tool wear cycles, raw material variation, operator inconsistency.

  4. In one feature or many?

    One feature = specific tool or operation. Many features = global issue (machine, fixture, thermal).

  5. Now isolate the cause

    Once you have these four answers, the root cause is usually one of 2–3 specific things. Check those first.

Layer 1: Design-stage prevention (catches ~50% of all defects)

The single highest-leverage moment for preventing defects is during design review. Issues caught here cost nothing; the same issues caught at shipping cost the entire batch.

  • Add internal corner radii ≥ 1 mm. Sharp corners need small tools that break, chatter, or wear quickly. Each tool change is a chance for inconsistency.
  • Avoid pocket depths > 4× tool diameter. Deep pockets cause tool deflection and chatter — both leading to dimensional inaccuracy.
  • Equalise material removal across faces. Asymmetric removal causes warping. If 90% of the material comes off one side, expect bow.
  • Avoid wall thickness changes > 2:1. Sudden thickness changes cause stress concentrations during cooling. Taper transitions over 3× the thickness.
  • Specify minimum wall thickness ≥ 1 mm metals, ≥ 1.5 mm plastics. Thinner walls deflect during cutting.
  • Use standard fastener sizes. Custom thread sizes need custom taps — more chance of breakage and stripped threads.
  • Mark critical features clearly. Inspection time scales with the number of toleranced features. Star the 5–10 that actually matter.
  • Tolerance only what matters. ±0.1 mm default is achievable on every CNC machine. Tighter tolerances drive scrap rate up.
  • Provide a 3D STEP file alongside 2D drawings. Eliminates interpretation errors that cause "part to drawing but not to intent" defects.

Layer 2: Material-stage prevention (catches ~15%)

Material-related defects

  • Porosity — gas pockets in cast or forged stock.
  • Inclusions — foreign particles in the metal matrix.
  • Internal stress — released during machining, causes warping.
  • Inconsistent hardness — uneven heat treatment.
  • Surface defects — pre-existing scratches, scale.

How a good shop prevents them

  • Material certificates (MTRs) for every lot — verify chemistry and heat treatment before machining.
  • Visual + dimensional incoming inspection — flag bar stock with surface defects.
  • Rough-then-rest stress relief — for high-stress materials, rough-machine, age, then finish.
  • Lot traceability — link each part to its raw material lot for failure analysis.
  • Approved suppliers list — refuse "off-brand" raw stock with no certification.

Layer 3: Process-stage prevention (catches ~30%)

Once the part is on the machine, defects come from tooling, parameters, fixturing or operator practice. Each has a standard mitigation:

DefectProcess root causePrevention
Dimensional driftTool wear, thermal expansion of machineTool life monitoring, in-process gauging, climate control
Poor surface finishWrong feed/speed, dull tool, no coolantOptimised cam parameters, tool monitoring, coolant flow check
BurrsTool exit conditions, no deburringProgramming exit feeds, dedicated deburring station
Chatter marksTool overhang too long, harmonic frequencyShorter tools, dynamic damping, parameter tuning
WarpingAsymmetric material removal, residual stressSymmetric machining strategy, stress-relief between roughing and finishing
Drill walkingWorn drill point, no spot drillCenter-drill or spot before any drill operation
Damaged threadsWrong drill size for tap, work hardeningStandard tap drill chart, sharp taps, proper coolant
Hidden internal defectsNo mid-process inspectionCMM check at strategic points in production
In-process CMM inspection of CNC parts during production
In-process CMM inspection catches dimensional drift before a whole batch goes out of spec.

Inspection that catches defects before shipping

Even with strong design and process prevention, some defects escape. The inspection strategy decides whether they ship or get caught:

  1. First Article Inspection (FAI)

    Comprehensive inspection of part #1 of every production run. Verifies the program produces a part matching the drawing. Catches programming and fixturing errors before the rest of the batch is made.

  2. In-process gauging at critical features

    On-machine probing or off-machine micrometer checks at programmed checkpoints during the run. Catches drift early.

  3. Statistical Process Control (SPC) on production batches

    Sample N parts every X units, log key dimensions, watch for trends. Cheap to run, catches systematic issues before they go out of control.

  4. Final 100% inspection on critical features

    Pass-fail check of every critical dimension on every part before packaging. The "you-shall-not-pass" gate.

  5. Outgoing audit by independent inspector

    For high-stakes work (aerospace, medical), a separate inspector audits a final sample. Catches systematic issues missed by production QC.

When defects ship anyway — what to do

  1. Document immediately with photos and measurements. Frame each part the same way; record the actual measured value vs the drawing spec.
  2. Quarantine the affected lot. Don’t use any of the parts until cause is determined. Otherwise good parts and bad parts mix and you can’t recover.
  3. Send the NCR to the supplier within 48 hours. Late reports are easier to dispute. Within 48 hours, the supplier’s production records are still warm.
  4. Request a corrective action report (CAR). A real supplier provides root-cause analysis, immediate containment, and long-term corrective action — not just a refund.
  5. Decide: rework, replace or refund. Each has cost trade-offs. Rework is fastest if defect is minor and rework yield is high. Replacement is cleanest. Refund is appropriate when the project can’t wait.
  6. Track supplier performance. Single defects happen. Repeated defects from the same supplier on different orders mean the supplier’s quality system is broken — switch.

よくあるご質問

最も一般的な CNC 不良は何で、どう予防する?
寸法不正確 (~28%)。予防:厳しい公差は重要特徴のみ、最新プログラム、工具摩耗監視、工程内 CMM 検査。
不良がサプライヤーのせいか設計のせいかどう判断する?
根本原因木を適用:寸法/美観、突然/段階的、全部品/ランダム、1 特徴/複数。「ランダム + 美観」= プロセス。「全部品 + 寸法」= 設計または体系的プロセス。
不良は完全に予防できますか?
いいえ、しかし DFM、認証材料、工程内測定、最終検査を組み合わせて 0.5% 未満まで削減可能。
不適合報告書 (NCR) とは?
不良を記録する正式文書:何が不適合だったか、写真、測定、影響を受けたロット、提案された行動。
サプライヤーは不良報告にどれくらい早く応答すべき?
24 時間以内の確認、5 営業日以内の初期根本原因分析、10 営業日以内の是正措置計画。
FAI はすべての不良を捕捉しますか?
いいえ。FAI はプログラミングと治具エラーを捕捉。実行中の工具摩耗、原材料欠陥、後続ユニットの操作者エラーは捕捉しません。
FAI が過剰に見える少量注文で不良を予防するには?
バッチ 5 でも、初部品に基本的な寸法レポートを要求してください。JLYPT はすべての注文に基本 FAI を含みます。
JLYPT は完全なトレーサビリティで部品を供給できますか?
はい — 各部品は材料ロット、機械、操作者、プログラム改訂、工具履歴に関連付け可能。

著者について

JLYPT Engineering Team

Senior CNC Application Engineers

Our application engineering team brings 15+ years of combined experience producing precision components for aerospace, medical, robotics and industrial automation customers.

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