Overview
SIST EN ISO/ASTM 52953:2025 sets out the foundational requirements and procedures for the registration of data acquired from process monitoring and quality control during additive manufacturing (AM) of metallic parts. The standard, developed collaboratively by SIST, ISO, ASTM, and CEN, focuses on the data produced by non-destructive testing and sensor systems in laser-based powder bed fusion (PBF-LB) of metals. It outlines how users can systematically record and align multi-modal AM data in a structured repository to support data-driven quality assurance and process traceability.
This document does not cover data cleansing, sensor calibration, or image processing. It is strictly focused on the registration of datasets relevant to in-situ and ex-situ monitoring using techniques such as X-ray computed tomography (XCT), coordinate measuring machines (CMM), thermal sensors, and camera-based inspections.
Key Topics
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Data Registration Procedures
The standard provides a clear procedure for registering and aligning data from various sensor types, including the collection of essential metadata. This encompasses the recording of machine and part identifiers, layer and scanning information, sensor type, calibration data, and environmental conditions.
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Multi-Modal Data Alignment
Proper alignment of datasets from different sources into a global coordinate system is emphasized. This process facilitates coherent analysis and cross-referencing of in-situ (process monitoring) and ex-situ (finished part inspection) data, enabling improved defect detection and process optimization.
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Metadata Requirements
For each data type (layer-wise images, melt pool images, XCT scans), the standard outlines necessary metadata fields such as timestamps, sensor configurations, calibration information, resolution parameters, uncertainty estimates, file format, and compression details.
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Uncertainty and Traceability
Recognizing the inherent uncertainties in sensor data, the standard provides guidance on documenting sources of error-such as optical distortions, thermal drift, and geometric misalignments-to support robust quality control and traceability.
Applications
Implementing ISO/ASTM 52953:2025 brings practical value to industries leveraging metal additive manufacturing, particularly in high-value sectors where quality assurance is mission critical:
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Traceable Quality Control
By following this standard, manufacturers can ensure that all process monitoring data is systematically registered and aligned, which is essential for component qualification and certification, especially in aerospace, automotive, and medical device production.
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Process Optimization
Registered datasets facilitate advanced data analytics, allowing users to correlate process parameters with finished part quality. This leads to improved process monitoring, early defect detection, and ongoing optimization of build parameters.
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Regulatory Compliance and Auditing
Maintaining a repository of registered data supports compliance with quality management systems (e.g., ISO 9001) and provides evidence during audits or warranty claims.
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Software and Automation Integration
The standardized approach enables AM software developers to build registration and analytics tools that are interoperable across different machines and sensor types, promoting automation and digital thread continuity.
Related Standards
Several other international standards are closely related to the implementation and context of SIST EN ISO/ASTM 52953:2025:
- ISO/ASTM 52900: Additive manufacturing - General principles - Fundamentals and vocabulary.
- SAE AMS 7003: Material and process standards for AM laser powder bed fusion processes.
- ISO/IEC 9834-8: Information technology - Open systems interconnection - Procedures for the operation of OSI registration authorities.
- ISO/IEC 11179-4: Metadata registries.
- ASTM F3490: AM metadata formats for product definition data.
Conclusion
SIST EN ISO/ASTM 52953:2025 provides a pivotal framework for the registration and alignment of process monitoring and quality control data in metal additive manufacturing. By ensuring consistent procedures for data registration and supporting advanced data analytics, this standard enables manufacturers to achieve reliable, traceable, and repeatable quality outcomes in metal AM, bolstering confidence in additive production processes.