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。

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:
| Rank | Defect | Frequency | Severity | Primary cause |
|---|---|---|---|---|
| 1 | Dimensional inaccuracy | ~28% | Medium | Tool wear, thermal expansion, programming errors |
| 2 | Poor surface finish (Ra too high) | ~18% | Low–Med | Wrong feed/speed, dull tools, vibration |
| 3 | Burrs on edges and threads | ~14% | Low | Tool exit conditions, deburring inadequate |
| 4 | Chatter marks | ~9% | Medium | Tool overhang, harmonic vibration, machine rigidity |
| 5 | Warping after machining | ~7% | High | Residual stress, asymmetric material removal |
| 6 | Tool marks / poor blending | ~6% | Cosmetic | Tool wear, programming step-over |
| 7 | Undersized / oversized holes | ~5% | Medium | Drill walking, incorrect tool offset |
| 8 | Damaged threads | ~4% | High | Wrong tap drill, broken tap, work hardening |
| 9 | Surface scratches from handling | ~4% | Cosmetic | Inadequate fixturing, packaging, transport |
| 10 | Material defects (porosity, inclusions) | ~3% | High | Bad material lot — outside the shop’s control |

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:
Is it dimensional or cosmetic?
Dimensional → check tool offsets, work coordinates, thermal state. Cosmetic → check tool wear, feeds, coolant.
Did it appear suddenly or gradually?
Sudden = tool break, programming change, fixture shift. Gradual = tool wear, thermal drift, parameter drift.
On every part or random?
Every part = systematic (programming, fixturing, machine). Random = tool wear cycles, raw material variation, operator inconsistency.
In one feature or many?
One feature = specific tool or operation. Many features = global issue (machine, fixture, thermal).
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:
| Defect | Process root cause | Prevention |
|---|---|---|
| Dimensional drift | Tool wear, thermal expansion of machine | Tool life monitoring, in-process gauging, climate control |
| Poor surface finish | Wrong feed/speed, dull tool, no coolant | Optimised cam parameters, tool monitoring, coolant flow check |
| Burrs | Tool exit conditions, no deburring | Programming exit feeds, dedicated deburring station |
| Chatter marks | Tool overhang too long, harmonic frequency | Shorter tools, dynamic damping, parameter tuning |
| Warping | Asymmetric material removal, residual stress | Symmetric machining strategy, stress-relief between roughing and finishing |
| Drill walking | Worn drill point, no spot drill | Center-drill or spot before any drill operation |
| Damaged threads | Wrong drill size for tap, work hardening | Standard tap drill chart, sharp taps, proper coolant |
| Hidden internal defects | No mid-process inspection | CMM check at strategic points in production |

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:
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.
In-process gauging at critical features
On-machine probing or off-machine micrometer checks at programmed checkpoints during the run. Catches drift early.
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.
Final 100% inspection on critical features
Pass-fail check of every critical dimension on every part before packaging. The "you-shall-not-pass" gate.
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
- Document immediately with photos and measurements. Frame each part the same way; record the actual measured value vs the drawing spec.
- 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.
- 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.
- Request a corrective action report (CAR). A real supplier provides root-cause analysis, immediate containment, and long-term corrective action — not just a refund.
- 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.
- 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
- 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。
- 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。
- 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。
- 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。
- 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。
- 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。
- 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。
最も一般的な CNC 不良は何で、どう予防する?
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?
不良は完全に予防できますか?
不適合報告書 (NCR) とは?
サプライヤーは不良報告にどれくらい早く応答すべき?
FAI はすべての不良を捕捉しますか?
FAI が過剰に見える少量注文で不良を予防するには?
JLYPT は完全なトレーサビリティで部品を供給できますか?
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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