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    Welding PFMEA

    PFMEA Welding Example (Robotic MIG/MAG)

    4 min read Last updated
    A realistic Process FMEA for robotic MIG/MAG welding of a structural steel subassembly. Welding PFMEAs routinely under-score Detection because visual inspection cannot find sub-surface defects — this example shows how to handle that honestly. Read alongside the Detection rating guide.

    Process overview

    The scope is a welded structural steel subassembly (e.g. an automotive cross-member or an industrial frame) produced on a two-station robotic cell with MIG/MAG welding, solid wire, Ar/CO₂ shielding gas, and post-weld UT on Class A joints. Material is S355 structural steel; joints include fillet and groove welds, with one safety-critical butt joint requiring 100 % UT. The PFMEA covers fixturing through final dimensional verification; weld procedure qualification (WPQR) and welder certification are upstream quality-system controls referenced but not re-rated here.

    Process flow

    1. Part loading and fixture clamping
    2. Tack welding (manual or robotic)
    3. Robot weld execution — program selection per part variant
    4. Wire feed and shielding gas delivery
    5. Post-weld cooling on the fixture
    6. Visual inspection per ISO 5817 / customer standard
    7. NDT (UT, MT or RT) on Class A joints
    8. Deburr / grinding of weld toe where required
    9. Final dimensional check on CMM or gauge

    Common failure modes

    • Lack of fusion — sidewall or root; the dominant safety failure mode and the hardest to detect.
    • Porosity — from gas-flow loss, contaminated wire or surface contamination.
    • Undercut — visible defect but easily missed under poor lighting; a fatigue initiation site.
    • Cracking — solidification or hydrogen-induced (HIC); particularly on higher-carbon steels.
    • Lack of penetration — wrong parameters, magnetic blow, or fitup gap.
    • Distortion — predictable from heat input; only controlled by sequence and fixturing.
    • Wrong weld program — the program selection error on multi-variant lines is the most common cause of out-of-spec welds.

    Representative PFMEA table

    Process StepFailure ModeEffectCausePreventionDetectionSODAP
    Part loading & fixturingWrong part orientation in fixtureWeld in wrong location → rework or scrapSymmetric fixture allows asymmetric loadingAsymmetric fixture pins / Poka-yokeFirst-piece visual + robot vision check743Medium
    Tack weldingMissing tack weldDistortion or fitup gap on main weldOperator skip; tack program errorMandatory tack-count verification by robot visionPre-weld visual at first robot station734Medium
    Robot weld executionWrong weld program selectedWrong current / voltage / travel speed → defective weldProgram selector error or mismatch with fixtureProgram selection tied to fixture RFIDWeld data acquisition system with parameter limits833High
    Wire feedWire feed slip / arc loss at startLack of fusion at weld startWorn drive rolls or liner blockageDrive roll PM + liner inspection scheduleArc-on monitoring with auto-stop on dropout844High
    Shielding gasInsufficient gas flowPorosity in weld; loss of toughnessRegulator drift or hose leakDaily gas flow meter check + leak auditVisual porosity inspection + post-weld MT835High
    Robot weldingArc deflection (magnetic blow)Lack of penetration; off-axis beadMagnetized clamps / nearby DC returnDemagnetize fixtures on schedule; manage ground placementUT sampling on root pass for critical joints835High
    Post-weld coolingForced cooling on hardenable steelQuench cracking; brittle HAZOperator uses fan to speed cycleCooling procedure WI + temperature-managed cycle timeMagnetic particle inspection (MT) on Class A joints924High
    Visual inspectionUndercut > 0.5 mm missedStress concentration → fatigue failure in serviceInspector fatigue or insufficient lightingInspector rotation + standardized lighting stationIndependent sample re-inspection745High
    NDT (UT / MT / RT)Sub-surface lack of fusion missedField failure under load on safety-critical jointNDT operator skill / calibration block missingASNT Level II certification + calibration block per shiftIndependent NDT audit on 5 % of lots924High
    Final dimensional checkWeld-induced distortion exceeds GD&TAssembly interference downstreamFixture wear; weld sequence not optimizedFixture verification schedule; weld sequence FEACMM check of welded subassembly733Medium

    Example failure chains

    TriggerFailure chainCustomer impact
    Gas regulator drift overnight; shielding gas flow drops 30 %Porosity in first 20 welds → visual inspection catches surface porosity but not sub-surface → fatigue initiation on welds shipped before re-checkField failure on cyclic load, weeks to years later
    Operator selects program for variant B on a variant A fixtureWrong current/voltage profile → lack of penetration on Class A joint → UT sampling catches one in 20 → unsampled units already shippedCustomer recall on suspect lot, full UT re-inspection cost
    Drive roll wear → wire feed slip at arc startLack of fusion at start of weld → buried inside the bead → not visible to AOI or visual → only UT finds itField failure or audit non-conformance

    Current controls

    • Prevention: RFID-bound program selection, drive-roll PM, daily gas flow check, fixture demagnetization schedule, welder certification matrix, WPQR.
    • Detection: weld data acquisition with parameter limits, arc-on monitoring, post-weld visual per ISO 5817, MT or UT on Class A joints, 5 % independent NDT audit, CMM dimensional verification.

    Action Priority discussion

    Welding PFMEAs are dominated by AP High rows because Detection on sub-surface defects is fundamentally weak. Even with NDT, Detection is rarely better than 4 for sub-surface lack of fusion. The AIAG-VDA AP table correctly promotes these rows to High; teams using legacy RPN often miss this because RPN multiplies rather than ranking by Severity-first logic. See RPN vs Action Priority for why this matters specifically in welding.

    Common mistakes in welding PFMEAs

    • Scoring Detection 2 for "100 % visual". Visual cannot see sub-surface defects; realistic Detection is 5–6.
    • Ignoring program selection error on multi-variant cells. It is the dominant cause of out-of-spec welds on real lines.
    • Treating gas flow as a setup parameter, not a process variable. Daily flow check belongs in the PFMEA.
    • Failing to distinguish Class A safety-critical joints from Class B / C welds with the same row. Severity differs by joint class.
    • Not linking the PFMEA to the WPS / WPQR. Auditors will look for it.

    Audit considerations

    Welding audits — whether ISO 3834, IATF 16949 or customer-specific — look for: WPS / WPQR alignment with PFMEA, NDT operator certification (typically ASNT Level II or ISO 9712), calibration block control, shielding gas verification records, and traceability of welds to operator and machine. Each High-AP row in this PFMEA should be traceable to a specific control in the Control Plan and a specific WPS line.

    PFMEA — Welding in the Qhubio knowledge graph

    How PFMEA — Welding connects to other FMEA concepts, standards, examples and software.

    Frequently asked questions

    Learning path

    Three tiers, automatically derived from the Qhubio knowledge graph. The tier containing this guide is highlighted.

    Further reading

    Curated next steps — methodology guides, worked examples, and the relevant tool.

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