Our inspection reports provide exhaustive quantitative and qualitative data, delivering complete traceability and actionable insights for quality assurance, process optimization, and regulatory compliance.
Report Overview Section:
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
This section immediately directs attention to crucial information, particularly for time-sensitive applications in Aerospace and Aviation or Medical and Healthcare.
Comprehensive Measurement Data:
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.)
For components manufactured using Powder Bed Fusion, this includes a specific analysis of critical features that are affected by thermal stresses.
Metallographic Examination Results:
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.
3D Surface Characterization:
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.
CT Scanning Data Interpretation:
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
Quality Conformance Assessment:
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
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
Traceability Information:
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
Production Monitoring Metrics:
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
Quality Management Integration:
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
Electronic Deliverables:
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
Each report is tailored to the specific application, whether for Automotive component validation or Consumer Electronics first-article inspection, ensuring all stakeholders receive comprehensive, actionable data for informed decision-making.