What specific contents and data are included in your inspection reports?

A full FAI report can include the part and lot identity, CAD or drawing revision, datum alignment, registration method, point-cloud or mesh coverage, color map, critical feature measurements, deviation statistics, tolerance results, calibration status, uncertainty, surface and final condition, reviewer, and disposition. The exact data set depends on the acceptance plan; a scan image alone is not a complete report. For an RFQ, provide the quantity, critical features, datum scheme, process route, post-processing state, file format, and delivery milestone.

Executive Summary and Critical Findings

Report Overview Section: The overview identifies the inspected configuration and the question the measurement is intended to answer. Record the material, process, part number, lot, drawing revision, measurement date, equipment, operator, and acceptance owner before reviewing the results.

• Inspection Objective: Clear statement of analysis purpose (first-article validation, failure analysis, etc.)

• Part Identification: Component name, drawing revision, serial number, and material specification

• Executive Summary: High-level pass/fail determination with critical findings highlighted

• Recommendations: Specific corrective actions or process adjustments

For critical applications in Aerospace and Aviation or Medical and Healthcare, the report should separate measured facts from engineering interpretation and identify any excluded feature, unresolved occlusion, or uncertainty. Aerospace or medical use requires project-level qualification; the report does not automatically establish airworthiness or biocompatibility.

Dimensional Analysis and GD&T Verification

Comprehensive Measurement Data: Measurement data should show nominal value, actual value, deviation, tolerance, units, datum or alignment basis, uncertainty, and pass, hold, or fail disposition. Include the feature list and analysis settings so a buyer can reproduce the review.

• Actual vs. Nominal Dimensions: Tabulated comparison of all critical features with deviation values

• Geometric Dimensioning & Tolerancing: Form, orientation, location, and runout per ASME Y14.5

• Statistical Analysis: Cp/Cpk values for production batches and measurement uncertainty

• Feature-Based Reporting: Organized by characteristic type (holes, planes, surfaces, etc.)

Powder Bed Fusion For a powder-bed build, relate surface deviations to build orientation, supports, process state, and final machining allowance where those fields affect interpretation. Verify critical dimensions after the final operation rather than transferring an as-built scan to the finished-part acceptance.

Material and Microstructural Analysis

Metallographic Examination Results: Microstructure or surface observations can explain a geometric deviation, but they are separate evidence. If metallography, CT, or another inspection is included, link the sample, method, material lot, and final condition and record the limitation.

• Grain Structure Analysis: Quantitative grain size measurements per ASTM E112 with distribution histograms

• Porosity Quantification: Total porosity percentage, pore size distribution, and location mapping

• Phase Identification: Microstructural constituents and their distribution

• Defect Classification: Categorization and measurement of inclusions, cracks, and anomalies

This section is particularly critical for validating Heat Treatment processes and Hot Isostatic Pressing effectiveness on Titanium Alloy components.

Surface Topography and Finish Analysis

3D Surface Characterization: A surface characterization section can report roughness or texture only when the scanner and analysis method support it. State the surface treatment, cleaning, resolution, uncertainty, and acceptance criterion; use a dedicated roughness or dimensional test when required.

• Surface Roughness Parameters: Ra, Rz, Rq values with measurement locations indicated

• Waviness Analysis: Longer-wavelength form errors from build process effects

• Texture Direction: Lay pattern analysis relative to build orientation

• Defect Mapping: Location and severity of surface anomalies

This data correlates directly with the effectiveness of subsequent Surface Treatment processes.

Non-Destructive Testing Results

CT Scanning Data Interpretation: CT data may complement an optical scan for internal geometry, but the methods have different resolution, calibration, and uncertainty boundaries. Choose the additional inspection from the feature and acceptance question, then keep both reports linked to the same part and final state.

• Volumetric Analysis: 3D visualization of internal features and defects

• Wall Thickness Analysis: Color-coded maps showing thickness variations

• Porosity Distribution: Location and size of internal voids with statistical summary

• Assembly Verification: Clearance analysis and component fitment validation

Comparative Analysis Against Standards

Quality Conformance Assessment: The conformance conclusion should cite the drawing revision, tolerance rule, measured features, uncertainty, excluded areas, reviewer, and disposition. If evidence is incomplete, hold the part and request a remeasurement, CMM check, or approved deviation.

• Material Specification Compliance: Verification against ASTM, AMS, or ISO standards

• Process-Specific Requirements: Assessment against additive manufacturing guidelines

• Customer Drawing Requirements: Feature-by-feature compliance status

• Regulatory Compliance: FDA, FAA, or other industry-specific requirements

Visual Documentation

Comprehensive Visual Evidence:

• Macro Photography: Overall part condition and identification markings

• Microscopic Images: High-resolution micrographs at standardized magnifications (50X, 100X, 200X, 500X)

• Scanning Electron Microscopy: High-magnification images for detailed fracture or feature analysis

• Color-Coded Deviation Maps: 3D CAD comparison with deviation scales

Process and Equipment Documentation

Traceability Information: Traceability connects the scan to the supplier, material lot, build job, process revision, post-processing, equipment calibration, operator, and report version. Include those fields in the RFQ and verify the delivered record before release.

• Inspection Equipment Details: Specific instruments used with calibration dates

• Measurement Uncertainty: Stated uncertainty values for critical dimensions

• Environmental Conditions: Temperature and humidity during measurement

• Operator Information and Approval Signatures

Statistical Process Control Data

Production Monitoring Metrics: Production monitoring can trend deviations by lot, machine, orientation, feature, and final condition. Use a defined alert limit and corrective-action rule, and do not confuse a trend signal with a confirmed nonconformance until the feature is verified.

• Batch Analysis Trends: Historical data comparison for ongoing production

• Statistical Summaries: Mean, standard deviation, and range for critical characteristics

• Process Capability Indices: Cp, Cpk, Pp, Ppk values for qualified processes

• Control Chart Data: For ongoing production monitoring

Risk Assessment and Corrective Actions

Quality Management Integration: Quality-system integration should define record retention, access, revision control, approval, and reinspection. The process is project-specific, so state who owns the acceptance decision and which data must be supplied with the part.

• Risk Priority Numbers: For identified non-conformances

• Root Cause Analysis: Initial investigation findings for failures

• Corrective Action Requests: Formal documentation of required actions

• Preventive Action Recommendations: Process improvements to avoid recurrence

Digital Data Appendices

Electronic Deliverables: Electronic deliverables should identify raw or processed data, file format, units, alignment, uncertainty, report revision, and any software requirement. Request the required package in the quotation, then confirm that every critical feature and disposition is present.

• Raw Scan Data: Point clouds and mesh files in multiple formats

• CAD Comparison Files: 3D models with embedded deviation data

• Spreadsheet Data: Tabular results for further analysis

• Custom Viewing Files: For proprietary analysis software

For Automotive component validation or Consumer Electronics first-article inspection, use a feature list, tolerance basis, surface state, and evidence depth matched to the acceptance standard. Record the release action instead of treating one report format as universal.